ChatGPT vs Claude 2026: Pricing, Features & Real Differences

Sources: ChatGPT Plus, ChatGPT Pro tiers, and Claude pricing. Prices are in USD; check applicable taxes and your account's offer before subscribing. Pro 500 includes Astra Ultrafast. Eligible existing Pro 200 subscribers keep their previous allowance through October 29, 2026; the price stays $200 when that allowance changes.

These are standard token rates, not a cost-per-completed-task ranking. GPT-6.1 Sol rates here apply to prompts up to 272K input tokens; longer prompts cost $4 input / $15 output per million, with doubled cache rates for the full request. Cache writes, tools, service tiers, and retries can change totals. See OpenAI's Sol 6.1 launch pricing and Anthropic's model prices.

GPT-6.1 Sol is available to Plus, Pro, Business, Enterprise, and Edu users in ChatGPT Work and Codex, and through the API. OpenAI explicitly says it is not yet available in Chat. GPT-6 Astra is a separate higher-capability option; do not assume the newest Sol replaces every model or appears in every interface.

Claude Fable 5.1 is generally available. Mythos 5.1 uses different safeguards and is restricted to trusted-access programs; it is not a normal consumer-plan alternative. Anthropic's current model lineup also includes Opus 5.5 and Sonnet 5.5.

For regular ChatGPT conversations, consult the Chat model availability guide and your model picker. Subscription tier, rollout status, and workspace permissions can all affect access.

Codex and Claude Code are the relevant workflows to compare for repository work. A useful trial is the same bug fix or feature in a disposable branch: require tests, inspect the diff, and record how much human correction each result needs. Include failed runs and review time in the cost comparison.

OpenAI reports GPT-6.1 Sol matching Astra on DeepSWE v1.1 in its evaluation. Anthropic positions Fable 5.1 for demanding, long-running work. These claims do not establish a universal winner. DeepSWE v1.1, SWE-bench Pro, Terminal-Bench 2.1, and Terminal-Bench Science are different tests; scores cannot be swapped between them or carried forward to new model versions.

Read the methods in the OpenAI release and Anthropic release. This update does not claim a new hands-on head-to-head test or relabel the old models' benchmark results.

A blanket claim that one assistant writes better is not justified by a model release. Give each the same brief, audience, source material, and examples of your voice. Compare factual accuracy, structure, specificity, and the amount of editing needed. Use one short task and one long document; a good result on a subject line does not predict a good report.

The GPT-6.1 Sol API specification lists 1,050,000 context tokens and 128,000 maximum output tokens. Fable 5.1, Opus 5.5, and Sonnet 5.5 list 1M context and 128K output. Chat interfaces can apply different limits, retrieval, or compaction. A large window also does not guarantee accurate recall throughout a document.

ChatGPT Plus includes voice, image generation, file analysis, and deep research where available. Claude's plans list web search, Artifacts, Skills, connectors, and voice; paid offerings include Claude Code, Projects, and Microsoft 365 integrations. Check the specific connector and plan you need rather than assuming either brand owns an entire ecosystem.

OpenAI's data controls let personal users opt out of training on new conversations; managed business workspaces are excluded from training by default. Claude's plan comparison lists consumer opt-out controls and no training by default for Team and Enterprise. Training, retention, connector access, and data residency are separate questions. Review the applicable terms and workspace settings before uploading confidential material.

• Try ChatGPT first if built-in image generation is important or you want to evaluate Codex and Work alongside your existing ChatGPT workflow.
• Try Claude first if Claude Code, Projects, or Skills match how you already organize work; budget separately for Fable usage where required.
• For an API app, run your own evaluation with representative prompts and measure accepted results per dollar, including caching, latency, and retries.
• For writing, choose the assistant that needs less editing on your briefs, not the one described as more human in a generic comparison.

Written by

Paras Tiwari

Founder, Spectrum AI Labs

Founder of Spectrum AI Labs — testing AI tools and models, and writing up what actually ships.

More about Paras →