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Model comparison
GPT-6 Sol vs Claude Opus 5.5
Compare GPT-6 Sol and Claude Opus 5.5 using the same provider-sourced text & reasoning rubric. No mystery score and no invented benchmark ranking.
Estimate your cost
Set your usage. Your estimate updates as you type.
Example: 6,000 input tokens for 10 pages, plus a 500-token summary. Page lengths vary; adjust the numbers below.
One run sends your input to the model once and receives an answer. Tokens are pieces of text: input is what you send, output is the answer you receive.
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How this estimate works
Estimates exclude taxes, tools, cache storage/writes, free allowances and custom discounts. Image estimates cover output only, not prompt or reference-image charges. Quality modes differ by model. Unlisted settings are not treated as free.
| Model | Access | Estimated total (USD) |
|---|---|---|
| GPT-6 SolOpenAI | OpenAI | $0.017 |
| Claude Opus 5.5Anthropic | Anthropic | $0.034 |
Quick take
GPT-6 Sol
An OpenAI model for coding projects and assistants that carry out several steps with tools.
Best for
- Codebase changes
- Multi-step workflows
- Long-document analysis with tools
Watch out for
Use Responses for tools with reasoning. Chat Completions function calling requires reasoning_effort=none. Fine-tuning is not supported, and long prompts trigger higher prices.
Claude Opus 5.5
A Claude model for large code changes, detailed research and business tasks that take many steps.
Best for
- Codebase changes
- Multi-step workflows
Watch out for
Existing integrations need a compatibility check: thinking cannot be disabled and forced tool calls are not supported. Fast mode and batch processing have different prices.
Compare the published facts
GPT-6 Sol vs Claude Opus 5.5
Values use each provider's own published units and limits. A blank means the provider did not publish a directly comparable value in the sources reviewed.
| Text & reasoning | GPT-6 Sol | Claude Opus 5.5 |
|---|---|---|
| Context windowMaximum combined prompt and working context documented by the provider. | 1.05M tokens | 1M tokens |
| Maximum outputProvider-published response limit, where available. | 128K tokens | 128K tokens |
| Knowledge cutoffLatest reliable knowledge date explicitly published by the model provider. Search and connected tools can retrieve newer information but do not change the model's built-in cutoff. | April 20, 2026 | June 2026 |
| Input priceCurrent standard list price per million input tokens unless noted. | $2 / 1M | $4 / 1M |
| Output priceCurrent standard list price per million output tokens unless noted. | $10 / 1M | $20 / 1M |
| InputsMedia types accepted by the listed model endpoint. | Text, image | Text, image |
| Tools & agentsSelected native tools and agent-building capabilities, not an exhaustive list. | Functions, web/file search, code, computer, MCP | Tool use, agents, vision, coding workflows |
How to choose
Compare the job, not the hype.
Start with the job you need to complete, then validate cost, access, and policy details on your exact provider route.
GPT-6 Sol
OpenAI says API inputs and outputs are not used for model training by default. Default abuse-monitoring logs may be retained for up to 30 days; qualifying organizations can request other controls.
Provider and API links
Claude Opus 5.5
Anthropic does not train on API data without express permission. Retention depends on the API feature, account agreement and cloud provider.
Provider and API links
Frequently asked questions
GPT-6 Sol vs Claude Opus 5.5 FAQ
What is the main difference between GPT-6 Sol and Claude Opus 5.5?
GPT-6 Sol: An OpenAI model for coding projects and assistants that carry out several steps with tools. Claude Opus 5.5: A Claude model for large code changes, detailed research and business tasks that take many steps.
Should I choose GPT-6 Sol or Claude Opus 5.5?
Consider GPT-6 Sol when your priority is Codebase changes. Consider Claude Opus 5.5 when your priority is Codebase changes. Test both with your own data and provider route before committing.
Is this GPT-6 Sol vs Claude Opus 5.5 comparison based on Cody benchmarks?
No. This comparison aligns provider-published facts for the Text & reasoning category. It does not claim a universal winner or combine incompatible third-party benchmark scores.