Quick Answer Both sit in the same top tier on public preference leaderboards, where the gap across the whole top ten is smaller than most comparison articles imply. Claude publishes a 1M-token context window and costs $17–20/month; ChatGPT Plus is $20/month. Pick on ecosystem and price band, not on a claimed quality winner.

Claude and ChatGPT are the two most-discussed AI assistants of 2026, and the honest summary is less dramatic than the genre usually allows: on blind public voting they are neighbours, not rivals separated by a gulf.

This page compares what each vendor publishes — models, context limits, list prices — plus what large public datasets show about how the tools are actually used.

ℹ️ How we compare BJRX News does not run laboratory tests or private benchmarks. Everything below comes from vendor documentation, public benchmark leaderboards and published survey data, linked at the point of use and carrying a check date. Where no reliable public figure exists, we say so instead of estimating.

📋 Key Takeaways

  • On LMArena's blind-vote leaderboard the entire top ten sits within about 28 Elo points — treat it as one tier
  • Claude Opus 4.8 and Sonnet 5 publish a 1M-token context window and 128k max output
  • API list prices are close: Claude Opus 4.8 at $5/$25 per Mtok, GPT-5.6 Sol at $5/$30
  • Subscriptions are effectively the same money — Claude Pro $17–20/mo, ChatGPT Plus $20/mo
  • Stack Overflow's 2025 survey found 84% of developers use or plan to use AI tools, but only 33% trust the output

At a Glance

ClaudeChatGPT
Flagship modelClaude Opus 4.8GPT-5.6 Sol
Context window1M tokens (published)Not published in OpenAI’s pricing table
Max output128k tokens
Flagship API price$5 in / $25 out per Mtok$5 in / $30 out per Mtok
Mid-tier API priceSonnet 5 — $3 / $15Terra — $2.50 / $15
Budget API priceHaiku 4.5 — $1 / $5Luna — $1 / $6
Consumer planPro $17/mo annual, $20 monthlyPlus $20/mo
Top consumer tierMax, from $100/moPro, $200/mo
Reliable knowledge cutoffJan 2026Not published

Sources: Claude models overview · claude.com/pricing · OpenAI API pricing. Last checked 22 July 2026.

What the Public Voting Data Actually Says

The largest public signal on model preference is LMArena, which runs blind pairwise battles — users see two anonymous answers, pick the better one, and results are scored with a Bradley–Terry/Elo model. It has accumulated millions of votes across hundreds of models.

The useful finding is not who is on top this week. It is the spread.

The gap from first to tenth is roughly 28 Elo points, and differences under about 10 points sit within noise. Frontier releases also reshuffle it constantly — several landed within a six-week window in mid-2026.

⚠️ Read leaderboards carefully A leaderboard position is a snapshot of crowd preference on arbitrary prompts, not a measure of fitness for your work. A model can lead the arena and still be the wrong choice for your codebase, your document lengths or your budget. Use it to confirm a model is in the top tier, then decide on everything else.

Coding

For coding specifically, the public reference point is SWE-bench Verified — a 500-instance, human-reviewed set built from real GitHub issues, scored by actually executing tests rather than by human preference. Anthropic’s models have been at or near the top of that leaderboard through 2026.

Two caveats worth more than the scores themselves. As frontier results approach saturation, the benchmark loses resolution between the leaders. And contamination concerns apply to any public benchmark built from public repositories.

The adoption data is more decision-useful than the benchmark data. Stack Overflow’s 2025 Developer Survey (33,662 responses) found:

84%use or plan to use AI tools
51%of professionals use them daily
33%trust the accuracy of output
3.1%"highly trust" the output

Source: 2025 Stack Overflow Developer Survey — AI.

Adoption is near-universal; trust is not, and it fell from 40% the previous year. Whichever assistant you pick, the survey population is telling you to review the output rather than ship it.

Also worth comparing: GitHub Copilot and Cursor for dedicated coding use — see our best AI coding assistants guide and Claude Code vs Cursor.

Context and Long Documents

This is where the two genuinely diverge on published numbers.

Anthropic documents a 1M-token context window on Opus 4.8, Sonnet 5 and Fable 5, with 128k max output, rising to 300k output on the Batch API with a beta header. OpenAI’s pricing table describes its GPT-5.6 models as long-context without publishing a token figure in the same place.

One caveat Anthropic flags directly: models from Opus 4.7 onward use a tokenizer where the same text yields roughly 30% more tokens than earlier generations. A 1M window is not comparable across generations, and neither is a per-token price. Compare cost per unit of work.

Web Access and Tooling

ChatGPT has live web browsing, image generation via gpt-image-2, video via sora-2, and a code execution sandbox. That breadth is real and is the strongest practical argument for it.

Claude’s surface is narrower and more focused on text and code, with Claude Code included from the Pro tier upward.

If your work needs current information from the web or generated media in the same session, that is a capability difference, not a quality preference.

Free Tiers

Claude FreeChatGPT Free
Price$0$0
Usage limitsApply, not publishedApply, not published
Claude Code❌ Not includedn/a
Image generation❌ No✅ Yes, limited
Web search❌ No✅ Yes

Neither vendor publishes concrete message caps for free tiers, so anyone quoting exact daily limits is inferring them.

Which Should You Use?

Choose Claude if: you work with long documents and want the published 1M window, you want Claude Code bundled with the subscription, or you prefer a narrower text-and-code tool.

Choose ChatGPT if: you need live web results, you use image or video generation, you want code execution in the chat, or you are already in the Microsoft ecosystem.

Use both if the work justifies it. At $20 each the combined cost is trivial against the time either saves, and the free tiers cost nothing to trial.

What should not decide it is a claimed quality verdict. On the public data, both are in the same tier, and the tier is wide enough that your own week of real work is better evidence than any comparison table — including this one.

ℹ️ Note for Users in China Both Claude and ChatGPT are blocked in mainland China. Access requires a VPN with obfuscation support. See our AI tools China access guide or compare options with the AI Tool Finder.

Also see: Gemini vs Claude 2026 · Gemini vs ChatGPT 2026 · Is ChatGPT private? · OpenAI vs Anthropic vs Google

FAQ

Which is better, Claude or ChatGPT?

On public blind-vote leaderboards both sit in the top tier, where the spread across ten models is around 28 Elo points and small gaps are noise. Choose on context limits, tooling and price rather than a quality ranking.

Is Claude cheaper than ChatGPT?

Subscriptions are near-identical — Claude Pro $17/mo annual or $20 monthly, ChatGPT Plus $20/mo. On the API, Claude Opus 4.8 is $5/$25 per million tokens against GPT-5.6 Sol at $5/$30.

Which has the bigger context window?

Anthropic publishes 1M tokens on its current flagship models. OpenAI’s pricing documentation describes GPT-5.6 as long-context without listing a figure there, so a direct comparison is not possible from published sources alone.

Do I need to pay for either?

No. Both have free tiers that are useful for everyday work. Neither vendor publishes exact free-tier limits.

Can I use them in mainland China?

Both are blocked. Access requires a VPN with obfuscation. Note that a VPN does not make your conversations private from the vendor — see is ChatGPT private.