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GPT-6.1 Sol vs Claude Opus 5.5

GPT-6.1 Sol and Claude Opus 5.5: current price, context, max output, and supported operations.

Which one to choose

Pick GPT-6.1 Sol for repository-scale coding and terminal-driven science tasks where you want reasoning effort from low up to max, and your inputs are text. Pick Claude Opus 5.5 when screenshots, schema-bound output or hours-long autonomous runs are part of the job. The deciding factor is input and output flexibility: Opus 5.5 reads images and supports schema output, while GPT-6.1 Sol takes text only.

Pricing comparison

GPT-6.1 SolClaude Opus 5.5
Model makerOpenAIAnthropic
Delivery availabilityAvailableAvailable
Context window1.05M1M
Max output128K128K
Official price
Input$2.00per 1M tokensOutput$10.00per 1M tokens
Input$4.00per 1M tokensOutput$20.00per 1M tokens
TokenLab price
Input$0.60per 1M tokensOutput$3.00per 1M tokens
Input$1.20per 1M tokensOutput$6.00per 1M tokens
Model performanceCollecting data
30-day success rate
94.8%
7-day median latency
4.7 sn=355
Capabilities
CodePrompt CacheReasoningTool use
JSON modePrompt CacheReasoningTool useVision

Choose GPT-6.1 Sol when

  • Your tickets and codebases are all text and you want the model to plan, edit and test.
  • You want five reasoning levels, from low to max, to tune effort per task.
  • You run terminal-driven analyses and want the model to fix environment errors and report findings.

Choose Claude Opus 5.5 when

  • Your agents read screenshots of desktop or browser software.
  • You need JSON bound to a schema in the response.
  • You hand off multi-hour work, such as auditing an architecture, and review the result afterwards.

How they differ

AspectGPT-6.1 SolClaude Opus 5.5
InputsText only, so image jobs need another model.Text and images in one request.
Structured outputNo schema-constrained JSON output.Supports output bound to a response schema.
Reasoning controlEffort runs from low to max with medium as the default; it cannot be set to none.Adaptive thinking is always on, with medium as the default effort.
Tool callingCalls tools and takes effort settings for agent loops.Tools work, but forcing a specific tool call returns an error.
PositioningOpenAI frames it as near its top GPT-6 Astra model for coding and computer use, and recommends it for new GPT-6 projects.Anthropic frames it as its Opus model for long-running agentic coding and knowledge work.

Summary

  • GPT-6.1 Sol: Input $0.60 / Output $3.00 per 1M tokens; Claude Opus 5.5: Input $1.20 / Output $6.00 per 1M tokens. Rates depend on the billing unit, specification, and usage. Compare matching conditions in the model's detailed pricing; a single rate does not determine the total cost.
GPT-6.1 Sol
GPT-6
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Claude Opus 5.5
Claude 5
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FAQ

Which is better for coding, GPT-6.1 Sol or Claude Opus 5.5?

Both are aimed at agentic coding. GPT-6.1 Sol suits text-only repository tasks with adjustable effort. Opus 5.5 suits runs that last hours or that need screenshots. Compare them on a real ticket from your own backlog.

Can GPT-6.1 Sol read images?

No, it accepts text only. If a workflow includes screenshots or scanned pages, use Claude Opus 5.5 for those steps and keep GPT-6.1 Sol for the text-only coding work.

Do I need to change my code to move from one to the other?

Yes, in places. GPT-6.1 Sol has effort levels, while Opus 5.5 always thinks and errors on forced tool use. Re-test the agent loop after switching.

Which is the newer model?

Opus 5.5 was released on September 22, 2026 and GPT-6.1 Sol a week later, but they come from different makers and neither is the predecessor or successor of the other.

Which is cheaper, GPT-6.1 Sol or Claude Opus 5.5?

GPT-6.1 Sol: Input $0.60 / Output $3.00 per 1M tokens; Claude Opus 5.5: Input $1.20 / Output $6.00 per 1M tokens. Rates depend on the billing unit, specification, and usage. Compare matching conditions in the model's detailed pricing; a single rate does not determine the total cost.

What are the key differences between GPT-6.1 Sol and Claude Opus 5.5?

GPT-6.1 Sol: Code. Claude Opus 5.5: JSON mode, Vision

Sources

Reviewed Oct 2, 2026