Claude Opus 5.5 vs GPT-6.1 Sol
GPT-6.1 Sol costs half as much as Claude Opus 5.5 per token: $2 input and $10 output per 1M, against $4 and $20. We have no benchmark score for GPT-6.1 Sol that we can cite, so this comparison rests on price, context and dates, with the published scores for Opus 5.5 shown for reference.
Price and size
GPT-6.1 Sol reads up to 1.05M tokens and Opus 5.5 up to 1M; both write up to 128K tokens in one reply. Cached input is $0.10 on GPT-6.1 Sol and $0.20 on Opus 5.5, so the gap holds with the cache too.
Our feature session costs $10.80 on GPT-6.1 Sol and $21.60 on Opus 5.5, or $2.59 against $5.18 with 90% of prompts cached. A long agent day is $97.50 against $195. Filling the whole window once costs $2.10 against $4.00.
Without benchmarks for GPT-6.1 Sol
Opus 5.5 scored 66.4% on Terminal-Bench 4.0 at xhigh effort, 54.4% on FrontierCode 1.1 at max effort and 67.7% on Humanity's Last Exam with tools. "Not published" for GPT-6.1 Sol below means we found no score we could cite, not that it scored zero. Until there is one, a task from your own repository run on both says more than any table.
The dates are close. Anthropic released Opus 5.5 on 22 September 2026; GPT-6.1 Sol was first listed on the API a week later, on 29 September. In practice the choice often follows the agent you use, since Claude models run in Claude Code and OpenAI's in Codex: Claude Code vs Codex compares the two tools.
Side by side
| Claude Opus 5.5 | GPT-6.1 Sol | |
|---|---|---|
| Maker | Anthropic | OpenAI |
| Released | 22 September 2026[1] | 29 September 2026[2] first API listing |
| Context window | 1M tokens[1] | 1.05M tokens[3] |
| Max output | 128K tokens[1] | 128K tokens[3] |
| Input price | $4 per 1M tokens[1] | $2 per 1M tokens[3] |
| Output price | $20 per 1M tokens[1] | $10 per 1M tokens[3] |
| Cached input | $0.20 per 1M tokens[4] | $0.10 per 1M tokens[3] |
| Long prompts | One price | One price |
| Price change | None announced | None announced |
| Open weights | No[1] Offered through the Claude API and cloud platforms; no weights are published. | No[5] Listed as an API model, not in OpenAI's open-weight section. |
| Reads | text, image[1] | text, image[3] |
Benchmarks
None of the benchmarks below has a published score for both models. We only show a score we can cite with its source and date; "Not published" means we found none for that model, not that it scored zero.
| Benchmark | Claude Opus 5.5 | GPT-6.1 Sol |
|---|---|---|
| Terminal-Bench 4.0Agentic coding tasks in a real terminal. | 66.4%[6] Run at xhigh effort. | Not published |
| FrontierCode 1.1 (Main)Hard software engineering tasks. | 54.4%[6] Max effort. | Not published |
| Humanity's Last Exam (with tools)Expert-level questions across many fields, tools allowed. | 67.7%[6] | Not published |
What a coding session costs
Our own estimate from the list prices above, for three sessions we define: a coding agent resends the conversation with every call, so prompts are large and grow. "Cached" assumes 90% of prompt tokens are read from the prompt cache and leaves out cache write fees. A long-prompt price applies when a call's prompt is over its threshold. Work out your own mix with the token cost calculator.
| Session | Claude Opus 5.5 | Claude Opus 5.5 cached | GPT-6.1 Sol | GPT-6.1 Sol cached |
|---|---|---|---|---|
| Quick fix10 calls of 25K prompt and 1.5K output tokens | $1.30 | $0.45 | $0.65 | $0.22 |
| Feature session60 calls of 80K prompt and 2K output tokens | $21.60 | $5.18 | $10.80 | $2.59 |
| Long agent day300 calls of 150K prompt and 2.5K output tokens | $195 | $41.10 | $97.50 | $20.55 |
Value for money and release gap
GPT-6.1 Sol is dated 7 days later (GPT-6.1 Sol: first API listing). Price per point divides our feature-session cost by a published score: lower means more score for the money. It is a rough lens, not a ranking.
| Measure | Claude Opus 5.5 | GPT-6.1 Sol |
|---|---|---|
| Input tokens per $1 | 250K | 500K |
| Filling the whole context window once | $4.00 | $2.10 |
Questions
Is GPT-6.1 Sol cheaper than Claude Opus 5.5?
Yes, half the price per token: $2 against $4 per 1M input tokens and $10 against $20 per 1M output. Our feature session costs $10.80 on GPT-6.1 Sol and $21.60 on Opus 5.5.
Which scores higher, Opus 5.5 or GPT-6.1 Sol?
We can't say yet. Opus 5.5 has published scores on all three benchmarks we track; we found none for GPT-6.1 Sol that we could cite.
Which has the larger context window?
GPT-6.1 Sol, slightly: 1.05M tokens against 1M for Opus 5.5. Both write up to 128K tokens in one reply.
Most compared
Any other two models: pick them in the lists at the top of the page.
- Claude Opus 5.5 vs Claude Sonnet 5.5
- Claude Fable 5.1 vs Claude Opus 5.5
- Claude Opus 5 vs Claude Opus 5.5
- Claude Sonnet 5.5 vs GPT-6.1 Sol
- Claude Opus 5.5 vs GPT-5.6 Sol
- Claude Opus 5.5 vs GPT-6 Astra
- GPT-6.1 Sol vs GPT-6 Sol
- GPT-6.1 Sol vs GPT-6 Astra
- Claude Opus 5.5 vs Gemini 4 Argon
- Claude Opus 5.5 vs Gemini 3.1 Pro Preview
- Gemini 4 Argon vs GPT-6.1 Sol
- Claude Opus 5.5 vs Grok 4.7
- Claude Opus 5.5 vs DeepSeek V4 Pro
- Claude Sonnet 5 vs Claude Sonnet 5.5
- Claude Haiku 5.5 vs Claude Sonnet 5.5
- Claude Haiku 4.5 vs Claude Haiku 5.5
- Claude Fable 5 vs Claude Fable 5.1
- Claude Fable 5.1 vs GPT-6 Astra
- Claude Haiku 5.5 vs GPT-6 Luna
- Claude Sonnet 5.5 vs Gemini 4 Argon
- Gemini 3.1 Pro Preview vs Gemini 4 Argon
- Claude Haiku 5.5 vs Gemini 3.8 Flash
- Claude Sonnet 5.5 vs Kimi K3
- Claude Sonnet 5.5 vs GLM-5.3
More tools
Sources
Numbers from the makers' own pages, checked by hand, last read . List prices in US dollars before tax. Spotted a mistake? office@shuriken.sh.
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