download dots

Claude vs ChatGPT

Anthropic's Claude family and OpenAI's ChatGPT are the two frontier AI assistants that defined the 2023 to 2026 race. They no longer line up neatly on price: ChatGPT now starts at Go $8/mo and tops out at two Pro price points, with no annual billing anywhere; Claude Pro is $20/mo month-to-month or $17/mo on an annual plan the page bills up front. The useful question is not 'which is better.' It is 'which one wins per task, at what cost.' Taskade Genesis routes frontier models from top AI labs with Auto, and Claude joins on your own Anthropic key.

Last updated: September 2026

Quick Comparison Table

Scroll sideways to see every column.

Feature Claude (Anthropic) ChatGPT (OpenAI)
Latest flagship (2026) Fable 5.1 / Opus 5.5 / Sonnet 5.5 / Haiku 4.5 GPT-6 family (Astra / Sol / Luna, Sep 2026)
Maker Anthropic OpenAI (public-benefit corp)
Safety approach Constitutional AI (published written constitution) + RSP levels RLHF + Model Spec + Preparedness Framework
Context window 1M tokens (Opus 5.5) up to 1M tokens
Multimodal Vision + text ✅ Vision, Voice, DALL·E, Sora 2
Agentic coding (SWE-bench) Category leader (Fable 5.1) Strong (GPT-6)
GPQA Diamond Frontier-tier (Opus 5.5) Frontier-tier (GPT-6)
Coding leaderboards Leads (Claude) Strong (GPT-6)
API pricing (per 1M in/out) Fable 5.1 $10/$50 · Opus 5.5 $4/$20 · Sonnet 5.5 $2/$10 · Haiku 4.5 $1/$5 GPT-6 Astra $10/$50 · Sol $2/$10 · Luna $0.10/$0.50
Consumer Free ✅ Limited ✅ Limited (ads being tested in the US)
Entry paid Pro $20/mo · $17/mo annual Go $8/mo
Consumer Pro Pro $20/mo month-to-month Plus $20/mo
Power tier Max, listed as "From $100 per month" (5x or 20x Pro usage) Pro at two prices: $100 or $200/mo
Annual billing ✅ Pro $17/mo, $200 billed up front ❌ none published on any tier
Coding agent Claude Code (terminal-native) Codex + Operator
Desktop GUI Claude Cowork + Skills ChatGPT Desktop + Companion
Browser (use Cowork browser tools) Atlas
Multi-agent Agent Teams AgentKit
Custom marketplace Skills + MCP marketplace Custom GPTs marketplace
Computer Use ✅ flagship limited
Image generation partner-routed ✅ DALL·E native
Video generation n/a ✅ Sora 2 native
Voice realtime Cowork voice ✅ Voice Mode (realtime API)
Consumer reach strong, growing broadest
Inside Taskade Genesis Your own Anthropic key (connector; BYOK for agents on Pro and up) ✅ OpenAI models, routed by Auto

What TSK-1 Found

Claude Sonnet 5 writes the cleanest code we have measured (Aug 3, 2026), and the family holds the quality ceiling: the best-looking build we have measured (Jul 30, 2026), the most complete app of its test (Aug 1, 2026), and that cleanest code. GPT-5.6 Luna is the one that sticks closest to your words - from early through mid-August it rebuilt what the customer asked for word for word, with neatly structured scoring rubrics. Those were TSK-1 test runs from summer 2026. Today Taskade Genesis routes across frontier models from top AI labs with Auto, and Claude runs on your own Anthropic key.

  • Claude: Aug 3, 2026 — the cleanest code we have measured; plus the best-looking build we have measured (Jul 30, 2026) and the most complete app of its test (Aug 1, 2026).
  • GPT: From early through mid-August it followed the customer's wording most closely, word for word; and on Aug 7, 2026 it was the first to reach a build where everything worked start to finish.

See the full evidence at /tsk/claude, /tsk/gpt, and the TSK-1 hub.


The Headline: Two Different Bets, Both Winning

Claude and ChatGPT are the two consumer frontier AI assistants that defined 2023-2026. They are converging on quality (within 1-3 percentage points on most benchmarks) and diverging on product strategy.

  • ChatGPT (OpenAI) is the platform play. The broadest consumer reach, the widest model + tool ecosystem, Custom GPTs marketplace, native DALL·E image generation, Sora 2 video, voice mode, Atlas browser, Operator sandbox.
  • Claude (Anthropic) is the safety + coding play. Constitutional AI (published written constitution), Responsible Scaling Policy levels, Claude Code (widely-used terminal agent), Claude Cowork desktop, Agent Teams, Computer Use.

The 2026 best practice is use both routed per task.

TL;DR: ChatGPT (GPT-6) leads on consumer breadth, multimodal, and ecosystem. Claude, led by Fable 5.1, leads on agentic coding, Constitutional AI safety, and long-form writing, though Fable 5 is premium-priced per token versus Opus 5.5. Both cost $20/mo at Pro. Taskade Genesis routes frontier models from top AI labs, and Claude joins on your own Anthropic key. No vendor lock-in.

Pick your model per agent in Taskade Genesis


Two Founding Bets That Defined the Race

  • OpenAI stayed on the capability-first scaling curve. GPT-2 → GPT-3 → GPT-4 → GPT-5 family with major backing from Microsoft and the Stargate compute buildout. Mission: AGI by raw scale + the broadest consumer + developer surface.
  • Anthropic spun out in 2021 with a safety-first thesis. Constitutional AI as the training approach. Smaller deliberate model releases. Mission: safe AGI through interpretability, Constitutional AI, and Responsible Scaling Policy.

Both have raised tens of billions in cumulative funding. Both are valued in the hundreds of billions. Different bets, both winning their segments.

Quote (Sam Altman, OpenAI 2026): "AGI kind of went whooshing by." His focus shifted to "superintelligence... AI that can do specific jobs better than any person."

Quote (Dario Amodei, Davos Jan 2026): AI will "replace the work of all software developers within a year" and reach "Nobel-level scientific research in multiple fields within two years."


Benchmarks: The Shape of the Race in 2026

Capability                   GPT-6           Claude (Opus 5.5 / Fable 5.1)   Edge
──────────────────────────────────────────────────────────────────────────────
SWE-bench Verified (coding)  strong          category leader (Fable 5.1)   CLAUDE
GPQA Diamond (reasoning)     frontier-tier   frontier-tier                 ~tied
MMLU-Pro (knowledge)         frontier-tier   frontier-tier                 ~tied
Coding leaderboards          strong          leads                         CLAUDE
Long-form writing quality    strong          strongest                     CLAUDE
Tool calling reliability     strong          strongest                     CLAUDE
Image generation             ✓ DALL·E        partner-routed                GPT
Video generation             ✓ Sora 2        n/a                           GPT
Voice realtime               ✓ Voice Mode    Cowork voice                  GPT
Multi-step terminal agent    Codex           Claude Code (lead)            CLAUDE
Custom-tool marketplace      Custom GPTs     Skills + MCP                  GPT (breadth)
Computer Use                 limited         ✓ flagship                    CLAUDE
Safety posture documented    Model Spec      Constitutional + RSP          CLAUDE
Consumer reach               broadest        strong, growing               GPT

Pattern: GPT wins on platform breadth and multimodal. Claude wins on agentic coding, writing, and documented safety. The benchmark differences are real but small (1-3 percentage points). The product strategy differences are big.

Industry context. A May 2026 IDC and Augment Code study found organizations using a single LLM for all tasks overpay by 40 to 85% compared to those using intelligent routing across 3+ models. Claude-plus-GPT-6 is the highest-impact 2-model routing pair for general-purpose work in 2026.


Product Lineups Side by Side

Surface OpenAI ships Anthropic ships
Chat ChatGPT (web, mobile, desktop) Claude.ai (web, mobile, desktop)
Image DALL·E + Sora 2 (video) partner-routed
Voice Voice Mode (realtime API) Cowork voice
Terminal coding agent Codex Claude Code (terminal-native)
Desktop agent ChatGPT Desktop + Companion Claude Cowork + Skills
Browser Atlas (use Cowork tools)
Multi-agent AgentKit Agent Teams
Custom tools Custom GPTs marketplace Skills + MCP marketplace
OS automation Operator Computer Use flagship
Enterprise ChatGPT Enterprise Claude Enterprise
API OpenAI API Anthropic API + Claude Code SDK

Two ecosystems with deliberate overlap. Each lab prioritized a different surface first. OpenAI: consumer chat + multimodal. Anthropic: terminal coding + safety + desktop.


Pricing: The Two Ladders No Longer Line Up

Both vendors changed shape in 2026. Prices below are read off each vendor's own pricing page on 11 August 2026.

Tier OpenAI ChatGPT Anthropic Claude
Free ✅ Limited (ads being tested on Free and Go in the US) ✅ "Free for everyone", usage limits apply
Entry paid Go $8/mo Pro $20/mo
Pro Plus $20/mo Pro $20/mo month-to-month, $17/mo annual ($200 billed up front)
Power user Pro at $100/mo or $200/mo Max, "From $100 per month" (5x or 20x Pro usage)
Team published per seat $25/seat/mo, or $20/seat billed annually, plus a separate Premium seat
Enterprise Custom Seat price plus usage at API rates
Annual billing 🔴 none — OpenAI publishes no annual option ✅ on Pro and Team

Three things people get wrong here. ChatGPT's entry price is $8, not $20 — Go sits below Plus. ChatGPT Pro is two prices, not a range, so "ChatGPT Pro costs $200" is only half true. And there is no ChatGPT annual discount to compare against Claude's $17/mo; any annual-equivalent ChatGPT figure you see quoted somewhere is invented.

On the API side, Anthropic publishes a clean per-token ladder: Fable 5.1 at $10 in / $50 out per million tokens, Opus 5.5 at $4 / $20, Sonnet 5.5 at $2 / $10, Haiku 4.5 at $1 / $5. Sonnet 5 kept its $2 / $10 price; the planned rise to $3 / $15 did not happen. OpenAI's GPT-6 family (September 2026) lists Astra at $10 / $50, Sol at $2 / $10, and Luna at $0.10 / $0.50. The full 1M-token context window is billed at standard rates on current Claude models. A 900K-token request costs the same per token as a 9K one. See Claude models explained for the full lineup.

One subtlety worth knowing before you build a budget on those numbers: Anthropic notes that its newer models use a different tokenizer that produces roughly 30% more tokens for the same text. Price per token is not price per page. Compare on your own corpus, not on the rate card.

Taskade Genesis runs frontier models from top AI labs on credit-based pricing (billed annually: Free $0, Pro $10, Business $25, Max $100, Enterprise $250 per month). Auto is the default. Claude runs on your own Anthropic key, billed by Anthropic: an agent chat on your key uses no Taskade credits, and an automation step uses one fixed step fee. No separate consumer subscription is needed for the models Taskade includes.


The Per-Task Routing Matrix (the table competitors do not have)

Most of the money in an AI setup is lost by sending cheap work to an expensive model. This is the table that fixes that. The third column is the part usually left out: what the choice costs you.

Task Best pick Cost consequence Second pick
Long-form writing (brand-critical) Claude Opus tier $4/$20 per 1M - the quality rung, not the volume rung GPT flagship
Conversational chat agent GPT fast tier Cheapest per turn at consumer latency Claude Sonnet 5.5
Code-edit agent (multi-step) Claude Code Agentic loops burn output tokens; budget for the $20/1M output rung GPT Codex
Code completion (IDE inline) GitHub Copilot (runs on either) Flat seat, but token overage now bills at API rates n/a
Image generation GPT + DALL-E Native; Claude routes to partners, adding a hop n/a
Video generation GPT + Sora 2 Native video, no second vendor n/a
Voice realtime conversation GPT Voice Mode Realtime audio is metered separately from text Cowork voice
Cheap high-volume classification Open-weight (DeepSeek V4-Flash) ~$0.44 in / $1.32 out per 1M at peak, exactly half off-peak — the cheapest rung on this page Claude Haiku at $1/$5
Long-context reasoning (whole repo, many docs) Claude Opus tier Claude bills 1M-token context at standard rates; no long-context surcharge GPT flagship
Architecture review / refactor reasoning Claude Opus tier Worth the premium rung; this is where errors are expensive GPT flagship
Computer use / OS automation Claude Cowork Screenshots are image tokens — the hidden cost line Operator
Multi-agent orchestration Claude Agent Teams Cost scales with agent count, not with prompt count AgentKit
Multilingual / non-English bulk work Open-weight (Qwen, Mistral) Apache-2.0 weights, so self-hosting caps the bill GPT flagship
On-prem / self-host / data-residency Open weights (Llama, Mistral, DeepSeek) No per-token bill at all; you pay for GPUs instead n/a — closed models cannot leave the vendor
Safety-critical reasoning Claude Opus tier Constitutional AI plus published RSP levels GPT flagship
Custom GPT / plugin work GPT Custom GPTs Marketplace breadth, no extra token cost Claude Skills
Agentic browsing Atlas (ChatGPT) Page content lands in context — long pages cost real tokens Comet (Perplexity)
Research with citations Perplexity Sonar Citation-native retrieval either model for the synthesis step

Build the workflow once. Pick per step. The savings compound in the steps you run thousands of times, not the ones you run once.


When to Pick Each


The Taskade Genesis Angle: Workspace DNA for Both

Most listicles end with "pick one." This one ends with route across labs inside one workspace.

Taskade Genesis offers frontier models from top AI labs, and the model picker shows credit cost per option. Auto mode handles routing. Claude runs in Taskade on your own Anthropic key through the Anthropic Claude connector or through BYOK for agents, both on Pro and up.

The structural difference is what you buy. Consumer AI is sold as a subscription per person per vendor - Claude Pro for one person, ChatGPT Plus for the same person, again for every teammate, and again for every new lab worth trying. Taskade Genesis routes across frontier models from top AI labs with the AI allowance included in the workspace subscription, and your own Anthropic key adds Claude. You are not placing a bet on which lab wins; you are keeping the option to change your mind, per task, without a new invoice.

Workspace DNA wraps both:

▲ Memory       Projects, documents, customer records, knowledge graph
■ Intelligence AI Agents that pick the best model per task
               Claude (your own Anthropic key) for code / writing / safety-critical
               GPT for image / voice / Custom GPTs / broad chat
               Open-source for routine high-volume steps
● Execution    100+ bidirectional integrations, durable automations

Six 2026 patterns that work right now inside Taskade Genesis.

✓ Pattern 1: Claude codes, ChatGPT illustrates. A product-requirements doc is drafted in Claude with your own Anthropic key, through the Anthropic Claude connector in an automation. A separate agent generates accompanying diagrams via GPT-6 + DALL·E. Both write into the same project Memory.

✓ Pattern 2: Claude for the loop, GPT for the surface. A research loop runs on Claude Sonnet 5.5 outside Taskade and connects through the MCP Server. The customer-facing chatbot wrapping the workflow runs on GPT-6 Sol for consumer-grade conversational quality.

✓ Pattern 3: GPT triages, Claude resolves. A high-volume customer-support automation classifies incoming tickets with GPT-6 Luna (or cheaper open-source models). Complex escalations go to Claude Opus 5.5 through the Anthropic Claude connector on your own key for the polished response.

✓ Pattern 4: Claude Cowork + Taskade workspace. Cowork edits files on your machine via Skills. Taskade Genesis runs the deployed app those files become. MCP connects them.

✓ Pattern 5: Three-tier routing, with the numbers. Open-weight (DeepSeek V4-Flash, about $0.44 in / $1.32 out per 1M tokens at peak and half that off-peak, as of August 2026) for bulk classification → Claude Sonnet 5.5 ($2/$10) or Haiku 4.5 ($1/$5) as the workhorse layer → Opus 5.5 ($4/$20) or Fable 5.1 ($10/$50) only for the moments that matter. Per output token that top rung costs roughly 38x the bottom one at peak and 76x off-peak, so where you route a step matters far more than which lab you prefer.

✓ Pattern 6: Auto mode handles everything. Set Auto mode as the default on new agents. Taskade Genesis routes per task and adapts as new model versions ship from either lab.

See 10 Best Open-Source AI LLMs in 2026 for the open-source picks that complement Claude and GPT in this routing setup.


The Power-User Setup (2026)

Tool Plan Cost Why
Claude Pro Anthropic $20/mo, or $17/mo annual ($200 up front) Code work, long-form writing, Cowork
ChatGPT Plus OpenAI $20/mo (no annual option exists) Image, voice, Sora 2, Custom GPTs
Taskade Genesis Pro Taskade $10/mo billed annually Workspace, deployed apps, frontier models from top AI labs routed per step; add your own Anthropic key for Claude
Combined about $47-$50/mo The full 2026 power-user setup

That combined setup costs less than the top ChatGPT Pro rung alone at $200/mo, and covers three vendors instead of one. If you only want one line item, note that Taskade includes the AI allowance in the subscription for its built-in models, and Claude runs on your own Anthropic key, billed by Anthropic.


Where Both Are Heading

OpenAI's bets

  • Stargate infrastructure buildout. the bet that bigger still wins
  • Sora 2 + Voice Mode + Atlas browser. multimodal consumer breadth
  • Custom GPTs marketplace + AgentKit + Operator. the developer platform
  • GPT-6 family (Sep 2026). continued capability scaling
  • Consumer reach as moat. the broadest reach as the network effect

Anthropic's bets

  • Claude Code Agent Teams. agentic coding compounding into recursive scaling
  • Claude Cowork + Skills marketplace. desktop AI for non-technical users
  • Computer Use + Claude Mythos. the embodied / OS-automation interface
  • Mechanistic interpretability. the long-term safety moat
  • Recursive self-improvement. Claude accelerating Claude's own development

Where Taskade Genesis fits

Both labs are building for the multi-model reality. As Claude and GPT diverge further on product strategy, the workspace that routes across labs becomes more valuable, not less. Workspace DNA (Memory + Intelligence + Execution) provides the substrate. The model picker provides the choice. The agents and automations provide the workflow. The deployed Taskade Genesis app provides the output.

Workspace DNA. Memory. Intelligence. Execution.

Read the deep histories for full context:


Frequently Asked Questions

Is Claude or ChatGPT better in 2026?

They lead on different jobs. ChatGPT (GPT-6) leads on platform breadth: the broadest consumer reach, the widest model and tool ecosystem, Custom GPTs marketplace, DALL·E, Sora 2 video, voice mode, and the Atlas browser. Claude (Opus 5.5 + Sonnet 5.5) leads on Constitutional AI safety, agentic coding (top of the 2026 coding leaderboards), long-form writing nuance, Claude Code (a widely-used terminal coding agent), and Claude Cowork desktop. The 2026 best practice is using both routed per task. Taskade Genesis runs frontier models from top AI labs with Auto, and Claude runs there on your own Anthropic key.

Which has better benchmarks, Claude or ChatGPT?

It depends on the benchmark. Claude's top model, Fable 5.1, leads the hardest agentic coding sets. On most general benchmarks GPT and Claude stay within a few points of each other (GPQA Diamond, MMLU-Pro). The 2026 pattern: Claude leads agentic coding and long-form writing, GPT leads on price, multimodal breadth, and ecosystem. The differences are real but small, and the cost gap between Claude's own tiers is larger than the benchmark gap between labs: Anthropic lists Fable 5 at $10 per million input tokens and $50 per million output, 2.5 times the Opus 5.5 tier at $4 and $20. That is why routing per task beats picking one model and running everything through it.

How much do Claude and ChatGPT cost in 2026?

OpenAI publishes Free, Go at $8 per month, Plus at $20 per month, and Pro at two price points, $100 and $200 per month. OpenAI offers no annual billing on any tier, so every ChatGPT price is a month-to-month price. Anthropic publishes Free, Pro at $20 per month month-to-month or $17 per month on an annual plan the page describes as $200 billed up front, Max listed only as From $100 per month across two usage multiples, and Team at $25 per seat month-to-month or $20 per seat billed annually with a separate Premium seat. The two ladders are no longer the same shape, so compare at the tier you will actually buy. Inside Taskade Genesis the AI allowance is included in the workspace subscription instead of a consumer subscription per vendor.

Which is safer, Claude or ChatGPT?

Both ship strong safety practices with different documented approaches. Anthropic uses Constitutional AI (a published written constitution), Responsible Scaling Policy (ASL-1 through ASL-4+), and heavy investment in mechanistic interpretability. OpenAI uses RLHF with published model behavior guidelines, the Preparedness Framework, and red-team evaluations. For organizations where the safety posture must be externally documented and cited (legal, medical, financial compliance), Claude's Constitutional AI plus ASL levels is the more publicly-documented framework. For most consumer chat use the visible safety difference is minimal.

Which is better for coding, Claude or ChatGPT?

Claude leads on agentic coding in 2026. Its top model, Fable 5.1 (September 2026), tops the hardest coding sets (SWE-bench Verified and SWE-bench Pro), ahead of GPT-6, though Fable 5 is premium-priced per token, well above GPT's mid tier. Claude Code, the terminal-native coding agent, is one of the most widely-used coding agents in 2026. For terminal coding agents, Claude Code wins. For ChatGPT-style code chat or Custom GPT-powered code assistants, GPT-6 is excellent. For IDE-native completion, GitHub Copilot leads (it can be powered by either Claude or GPT).

Does Claude or ChatGPT have a longer context window?

Both ship 1 million token context windows in 2026. Claude Opus 5.5 and Sonnet 5.5 ship up to 1M tokens. GPT-6 ships up to 1M tokens depending on tier. For very long context tasks (whole-codebase analysis, multi-document research), pick the model that has shown reliable quality across the full window for your specific use case. Inside Taskade Genesis you can mix long-context tasks with short-context routing per step.

Can I use Claude and ChatGPT together?

Yes. Taskade Genesis runs frontier models from top AI labs with Auto as the default, and Claude runs in Taskade on your own Anthropic key: on Pro and up, the Anthropic Claude connector runs Claude in automations, and you can add your own key through BYOK so agents run Claude models. A common 2026 pattern is Claude for code work and long-form writing, ChatGPT for image generation and consumer-facing chat, with open-source models like DeepSeek and Kimi for high-volume bulk steps. Organisations routing across 3+ models save 40-85% versus single-model deployments per a May 2026 IDC + Augment Code study.

What does Claude have that ChatGPT does not?

Claude ships Claude Code (a widely-used terminal-native coding agent), Claude Cowork (desktop GUI with file access and reusable Skills), Agent Teams (multi-Claude orchestration with shared task lists), Computer Use (OS automation), Constitutional AI (a published written constitution), and Responsible Scaling Policy levels. ChatGPT ships DALL·E + Sora 2 video, voice mode, Atlas browser, the Custom GPTs marketplace, Operator (sandboxed agent), and AgentKit for developers. They are different products solving overlapping problems.

What does ChatGPT have that Claude does not?

ChatGPT ships DALL·E for native image generation, Sora 2 for native video, Voice Mode with realtime voice conversations, the Custom GPTs marketplace with thousands of pre-built GPTs, the Atlas browser as an agentic surface, Operator as a sandboxed agent, and AgentKit for developers building on the OpenAI API. ChatGPT also has the broadest consumer reach. Claude does not ship native image or video generation, voice realtime, or a Custom GPTs marketplace. For consumer breadth ChatGPT wins. For agentic coding and Constitutional AI safety, Claude wins.

Will Claude replace ChatGPT?

Neither replaces the other. The 2026 reality is a multi-model ecosystem where ChatGPT leads on consumer breadth and platform reach, Claude leads on Constitutional AI safety and coding agents, Gemini leads on multimodal Workspace integration, and open-source models lead on specific cost-sensitive niches. Per industry analysis (IDC + Augment Code May 2026), organizations using a single LLM overpay by 40-85% versus those using intelligent routing across 3+ models. Taskade Genesis is built for this multi-model reality.

Should I subscribe to Claude Pro or ChatGPT Plus?

It depends on the workload. For code-heavy work pick Claude Pro for Claude Code access. For image, video, and voice tasks pick ChatGPT Plus for DALL-E, Sora 2, and Voice Mode. If cost is the deciding factor, note that ChatGPT now has a cheaper entry rung than Plus at Go $8 per month, and Claude Pro drops to $17 per month if you take the annual plan billed up front. Many 2026 power users run both consumer subscriptions and add Taskade Genesis Pro at $10 per month billed annually as the workspace where the output becomes a deployed app.

How does Taskade Genesis fit between Claude and ChatGPT?

Taskade Genesis is the workspace where the work Claude and ChatGPT generate becomes a deployed app. It runs frontier models from top AI labs with Auto, and it connects to your own Anthropic key for Claude through the Anthropic Claude connector. Workspace DNA (Memory + Intelligence + Execution) wraps it all with persistent context, AI Agents v2 with a large built-in toolkit, automations, and 100+ integrations. Output is not a chat transcript. Output is a live application with a URL, agents, and automations running.

Final Word: The Multi-Model Reality

Claude and ChatGPT are not substitutes. They are the two pillars of the 2026 frontier AI ecosystem, each winning a different game.

Pick one and you optimize for one game. Pick both and you ship work that combines Claude's coding agents with GPT's consumer surface, all inside a workspace that turns the output into living software.

▲ Memory feeds Intelligence. ■ Intelligence triggers Execution. ● Execution creates Memory. Multiple frontier brains. One workspace. The right model for every step.

This is the origin of living software. 🌱

Build in Taskade Genesis with frontier models from top AI labs →


TSK-1 Benchmark

Same request, both models

In the TSK-1 Benchmark, every model receives the same app request, word for word: build a working app that keeps what people enter, runs an automation, and answers questions about its own data, then take a follow-up change. Here is how Claude and GPT did, tested inside Taskade Genesis.

Same test, same day ·

The family intake form, more models

Parents fill in a form on their phone with two to four photos, the teacher sees every family on one page, and then we ask for one more question on the form.

  • Claude Sonnet 5Works2 builds

    Both builds saved every answer and both photos, and the new teacher question landed. Sample families showed on the teacher page with no label.

  • Claude Haiku 4.5Works, with gaps

    Saved every answer, but the family photo replaced the child photo on every submission.

  • Claude Sonnet 4.5Works, with gaps

    Saved every answer and both photos in a plain look, and its open teacher page listed parent phone numbers.

  • GPT-5.6 SolWorks

    Saved every answer and both photos, labeled its sample family, and kept the teacher page open with no sign-in. The new teacher question landed.

  • GPT-5.6 LunaWorks, with gaps2 builds

    One build saved every answer and both photos in under 5 minutes. In the other, every parent submission failed on the photo permission question.

  • GPT-5.6 TerraWorks, with gaps3 builds

    All three builds saved every answer and both photos in about 4 minutes or less. One opened in a dark look where the request asked for cream paper.

One build per model unless a row says otherwise. Read it as a direction, not a final rank.

Anthropic · Tested Oct 2026

Claude

Interface
Strong
Task
Strong
Memory
Emerging
Adapt
Leading

Best for: Polished apps that keep improving

Claude produces the most polished finished apps we test and handles follow-up changes especially well. Its main risk is losing details in a long request. Opus 5.5, the newest, shared the top result of our September phone-form test.

  • · Claude Sonnet 5Built a reading list that saved a book added from the app, and each status filter showed the right books.
  • · Claude Sonnet 5Built the family intake form so it saved every answer and both photos, and its teacher page showed each answer choice in plain words. Each saved family had a blank name in the project list.

All Claude results →

OpenAI · Tested Oct 2026

GPT

Interface
Strong
Task
Leading
Memory
Strong
Adapt
Leading

Best for: Detailed requests and fast delivery

GPT is strongest at following detailed requests and finishing quickly. GPT-6.1 Sol, the newest, shared the top result of our September phone-form test. Luna preserves exact wording and builds complete apps efficiently. Terra is the fastest in nearly every test it enters. GPT-5.6 Sol builds wide apps but can add sign-in screens nobody asked for.

  • · GPT-6 LunaBuilt the Dota 2 match tracker in about 10 minutes with every detail the request named (hero, result, kills, deaths, assists, duration, notes, win rate and streaks), a coach agent and a weekly recap automation.
  • · GPT-6 LunaAdded the heroes page and its menu link in about 8 minutes and put the change live. A logged match saved and showed in the app.

All GPT results →

Interface, Task, Memory and Adapt are the four qualities TSK-1 grades: how finished the app feels, how closely it follows the request, whether it keeps your data, and how cleanly it handles follow-up changes. Read the method and every published test on the TSK-1 hub.

Open a live app built the same way

These are App Kits from the official Taskade account, not benchmark builds. Each one is a working app with projects, agents and automations, the same shape every benchmark request asks for. Open one, then clone it into your own workspace.

Browse all App Kits →

Verify the comparison yourself

This is our take. We’re biased: we make Taskade. Read the alternatives from the source:

When you are ready, build with Taskade Genesis or browse live apps from the Taskade community.

More Competitors & Alternatives

View All Alternatives ↗

Cursor

Taskade Genesis vs Cursor in 2026. Cursor is one of the most-used AI-native code editors and ships new versions fast, the best-in-class agentic IDE for working engineers. Taskade Genesis is for the rest of the team (operators, founders, PMs), shipping deployed apps from one prompt with AI agents, workspace data, and 100+ bidirectional integrations included — and an AI allowance that comes with the subscription instead of a weekly usage pool plus third-party models billed at API list price.

Learn More

Windsurf

Windsurf is now Devin Desktop — Cognition folded the IDE into the Devin product line and windsurf.com redirects to devin.ai. Taskade Genesis ships a deployed AI app workspace with built-in agents and 100+ integrations, so anyone on the team can use what gets built, not just the engineer who ran the prompt.

Learn More

Lovable

The best Lovable alternatives in 2026, compared for people who ship business systems rather than codebases. Lovable is an excellent design-first builder that returns a React + Vite project you host and maintain. This page ranks eight alternatives by what you are actually building, states Lovable's real 2026 pricing with sources, and explains where Taskade Genesis fits: a running system with data, AI agents, automations, and app sign-in, with no deployment step.

Learn More

Bolt.new

Taskade Genesis vs Bolt.new in May 2026, after Bolt V2 (October 2025) Bolt Cloud + databases + hosting + Expo mobile, $40M ARR in 5 months, and StackBlitz's $105.5M Series B at ~$700M valuation. Bolt has the only browser-native WebContainers runtime in the category. Taskade Genesis ships deployed apps with AI Agents v2, 100+ bidirectional integrations, and Workspace DNA, flat $10/mo (billed annually) Pro, no token meter on bug fixes.

Learn More

v0

Taskade Genesis vs v0 by Vercel in 2026 — after the v0.dev to v0.app rebrand, Figma and custom design-system import, the built-in Git panel, and agentic workflows. v0 ships best-in-class React/Next.js and shadcn code with the cleanest Figma-to-code path, now entering at Plus $30/user/mo with no annual billing. Taskade Genesis ships full deployed apps with a workspace backend, AI agents, and 100+ integrations on flat $10/mo billed annually.

Learn More

Replit

Taskade Genesis ships deployed apps with AI agents, automations, and 100+ integrations from one prompt - workspace-native, no IDE and no deploy step. Replit is a cloud IDE with an AI coding agent. Compare both side by side.

Learn More

Base44

The best Base44 alternatives in 2026, compared by what you actually own after the build. Taskade Genesis, Lovable, Bolt.new, Replit, v0, Bubble, Softr and Cursor. Base44's headline $16/$40/$80/$160 tiers are annual-equivalent rates - month-to-month is $20/$50/$100/$200. Taskade Genesis is Free Forever, or $10/mo billed annually for Pro with 10 seats and AI credits included.

Learn More

Emergent

Taskade Genesis ships deployed apps with AI agents, automations, and 100+ integrations from one prompt, with hosting in every plan. Emergent builds full-stack web and mobile apps on a credit model. Compare both side by side.

Learn More

Lindy

The best Lindy AI alternatives in 2026, compared by what the bill looks like once the work is real. Lindy repriced Plus to $29.99/mo per user in August 2026, bills monthly only, has no free plan, and its credits do not roll over. Taskade Genesis is Free Forever, or $10/mo billed annually for Pro with 10 seats and AI credits included.

Learn More

Imagine it. Run it live.

One prompt becomes a live app with agents, memory, and automations.