Claude Opus 5.5 vs GPT-5.6 Sol
At the same $4 input and $20 output per 1M tokens, Claude Opus 5.5 scores higher than GPT-5.6 Sol on both benchmarks they share: 66.4% against 37.3% on Terminal-Bench 4.0 and 54.4% against 47.5% on FrontierCode 1.1. Opus 5.5 also has the cheaper cache, $0.20 against $0.40.
Same price, cheaper cache
Uncached, our sessions cost the same on both: $21.60 for the feature session and $195 for a long agent day. With 90% of prompts read from the cache, Opus 5.5 is cheaper, $5.18 against $6.05 and $41.10 against $49.20, because cached input on GPT-5.6 Sol costs twice as much.
GPT-5.6 Sol reads up to 1.05M tokens and Opus 5.5 up to 1M; both write up to 128K tokens in a reply.
Where the scores come from
Both GPT-5.6 Sol scores reached us through Anthropic's charts: the Terminal-Bench 4.0 figure is OpenAI's own, and Anthropic quoted it alongside the FrontierCode 1.1 one. Opus 5.5 ran Terminal-Bench at xhigh effort. On Humanity's Last Exam with tools Opus 5.5 scored 67.7%, and we have no score for GPT-5.6 Sol.
Dates
GPT-5.6 Sol was first listed on the API on 9 July 2026; Anthropic released Opus 5.5 two months later, on 22 September. OpenAI has released newer Sol models since, and Opus 5.5 against GPT-6.1 Sol compares Opus with the latest of them.
Side by side
| Claude Opus 5.5 | GPT-5.6 Sol | |
|---|---|---|
| Maker | Anthropic | OpenAI |
| Released | 22 September 2026[1] | 9 July 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] | $4 per 1M tokens[3] |
| Output price | $20 per 1M tokens[1] | $20 per 1M tokens[3] |
| Cached input | $0.20 per 1M tokens[4] | $0.40 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
Scores as the makers published them, each with its source and date. Makers run these at different settings, so read a gap of a few points as a tie.
| Benchmark | Claude Opus 5.5 | GPT-5.6 Sol |
|---|---|---|
| Terminal-Bench 4.0Agentic coding tasks in a real terminal. | 66.4%[6] Run at xhigh effort. | 37.3%[6] As reported by OpenAI, quoted by Anthropic. |
| FrontierCode 1.1 (Main)Hard software engineering tasks. | 54.4%[6] Max effort. | 47.5%[6] Quoted by Anthropic. |
| 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-5.6 Sol | GPT-5.6 Sol cached |
|---|---|---|---|---|
| Quick fix10 calls of 25K prompt and 1.5K output tokens | $1.30 | $0.45 | $1.30 | $0.49 |
| Feature session60 calls of 80K prompt and 2K output tokens | $21.60 | $5.18 | $21.60 | $6.05 |
| Long agent day300 calls of 150K prompt and 2.5K output tokens | $195 | $41.10 | $195 | $49.20 |
Value for money and release gap
Claude Opus 5.5 is dated 2 months later (75 days; GPT-5.6 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-5.6 Sol |
|---|---|---|
| Input tokens per $1 | 250K | 250K |
| Filling the whole context window once | $4.00 | $4.20 |
| Feature session per point of Terminal-Bench 4.0 | $0.33 | $0.58 |
| Feature session per point of FrontierCode 1.1 (Main) | $0.40 | $0.45 |
Questions
Do Opus 5.5 and GPT-5.6 Sol cost the same?
Per token, yes: $4 per 1M input tokens and $20 per 1M output tokens on both. Cached input differs: $0.20 on Opus 5.5 and $0.40 on GPT-5.6 Sol.
Which is better at agentic coding?
On Terminal-Bench 4.0, Opus 5.5 scored 66.4% and GPT-5.6 Sol 37.3%, a gap of 29.1 points. The GPT-5.6 Sol score is OpenAI's own, as quoted by Anthropic.
Which has the bigger context window?
GPT-5.6 Sol reads up to 1.05M tokens, Opus 5.5 up to 1M. Both write up to 128K tokens in a 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 Opus 5.5 vs GPT-6.1 Sol
- Claude Opus 5.5 vs GPT-6 Astra
- Claude Opus 5.5 vs Gemini 4 Argon
- Claude Opus 5.5 vs Gemini 3.1 Pro Preview
- 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 Sonnet 5.5 vs GPT-6.1 Sol
- Claude Fable 5.1 vs GPT-6 Astra
- Claude Haiku 5.5 vs GPT-6 Luna
- GPT-6.1 Sol vs GPT-6 Sol
- GPT-6.1 Sol vs GPT-6 Astra
- Claude Sonnet 5.5 vs Gemini 4 Argon
- Gemini 4 Argon vs GPT-6.1 Sol
- 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
- platform.claude.com: docs/en/models/opus-5-5/overview, read
- github.blog: changelog/2026-07-09-openais-gpt-5-6-sol-terra-and-luna-are-now-available-in-github-copilot, read
- developers.openai.com: api/docs/models/gpt-5.6-sol, read
- platform.claude.com: docs/en/about-claude/pricing, read
- developers.openai.com: api/docs/models/all, read
- anthropic.com: claude-opus-5-5, read
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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