Claude Sonnet 5.5 vs Gemini 3.1 Pro Preview vs GPT-6.1 Sol
Too close to call on our weighted score (GPT-6.1 Sol 69, Gemini 3.1 Pro Preview 66, Claude Sonnet 5.5 65). The right pick depends on what you value most.
Anthropic
Claude Sonnet 5.5
65/100- ECI165.2
- Price$2.00 / $10.00
- Context1M
Google
Gemini 3.1 Pro Preview
66/100- ECI154.8
- Price$2.00 / $12.00
- Context1.05M
OpenAI
GPT-6.1 Sol
69/100- ECI—
- Price$2.00 / $10.00
- Context1.05M
Too close to call
It is close. Our weighted score puts them within 3 points (GPT-6.1 Sol 69/100, Gemini 3.1 Pro Preview 66/100, Claude Sonnet 5.5 65/100), so choose by what matters most for your work: GPT-6.1 Sol for raw capability and Claude Sonnet 5.5 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond, FrontierMath Tiers 1–3, OTIS Mock AIME 2024–2025 and SimpleQA Verified), because GPT-6.1 Sol has no Capabilities Index score yet.
- CapabilityGPT-6.1 SolShared benchmarks: GPT-6.1 Sol 90.7% · Claude Sonnet 5.5 82.7% · Gemini 3.1 Pro Preview 80.8%
- Lowest priceClaude Sonnet 5.5 and GPT-6.1 SolClaude Sonnet 5.5 $4.00 · GPT-6.1 Sol $4.00 · Gemini 3.1 Pro Preview $4.50 per 1M tokens (3:1 blend)
- Longest contextGPT-6.1 Sol and Gemini 3.1 Pro PreviewGPT-6.1 Sol 1,050,000 · Gemini 3.1 Pro Preview 1,048,576 · Claude Sonnet 5.5 1,000,000 tokens
- Widest inputsGemini 3.1 Pro PreviewClaude Sonnet 5.5: Text, Images, PDFs · Gemini 3.1 Pro Preview: Text, Images, PDFs, Audio, Video · GPT-6.1 Sol: Text, Images, PDFs
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Claude Sonnet 5.5 | Gemini 3.1 Pro Preview | GPT-6.1 Sol |
|---|---|---|---|---|
| CapabilityShared benchmarks | 50% | 83 | 81 | 91 |
| Price | 25% | 21 | 19 | 21 |
| Inputs & features | 15% | 80 | 100 | 80 |
| Context window | 10% | 60 | 61 | 61 |
| Overall | 100% | 65/100 | 66/100 | 69/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 165.2 (best) | 154.8 | — |
| ECI rank | #3 of 148 (best) | #31 of 148 | — |
| GPQA DiamondGraduate-level science questions | 95.6% (best) | 94.4% | 95.4% |
| FrontierMath Tiers 1–3Research-level mathematics | 88.8% | 59.7% | 93.7% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 100% (best) | 95.6% | 100% (best) |
| SWE-bench VerifiedFixing real GitHub issues | — | 75.6% | — |
| SimpleQA VerifiedShort factual questions | 46.5% | 73.5% | 73.9% (best) |
| Price per million tokens | |||
| Input | $2.00 | $2.00 | $2.00 |
| Output | $10.00 (best) | $12.00 | $10.00 (best) |
| Cached input | $0.20 | $0.20 | $0.10 (best) |
| Blended (3:1) | $4.00 (best) | $4.50 | $4.00 (best) |
| Long-context rate | Same rate | Over 200K: $4.00 / $18.00 | Over 272K: $4.00 / $15.00 |
| Price source | Official Anthropic API | Official Google API | Official OpenAI API |
| Limits | |||
| Context window | 1,000,000 tokens | 1,048,576 tokens | 1,050,000 tokens (best) |
| Max output | 128,000 tokens (best) | 65,536 tokens | 128,000 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | Yes | Yes |
| Audio | No | Yes | No |
| Video | No | Yes | No |
| Reasoning | Yeslow · medium · high · xhigh · max | Yeslow · medium · high | Yeslow · medium · high · xhigh · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | claude-sonnet-5-5 | gemini-3.1-pro-preview | gpt-6.1-sol |
| API providers | 23 | 26 (best) | 21 |
| Released | Sep 28, 2026 | Feb 19, 2026 | Sep 29, 2026 |
| Knowledge cutoff | Jun 2026 | Jan 2025 | Apr 30, 2026 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Claude Sonnet 5.5$40.00
Gemini 3.1 Pro Preview$44.00
GPT-6.1 Sol$40.00
Which should you choose?
Which is better: Claude Sonnet 5.5, Gemini 3.1 Pro Preview or GPT-6.1 Sol?
It is close. Our weighted score puts them within 3 points (GPT-6.1 Sol 69/100, Gemini 3.1 Pro Preview 66/100, Claude Sonnet 5.5 65/100), so choose by what matters most for your work: GPT-6.1 Sol for raw capability and Claude Sonnet 5.5 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond, FrontierMath Tiers 1–3, OTIS Mock AIME 2024–2025 and SimpleQA Verified), because GPT-6.1 Sol has no Capabilities Index score yet.
Which is cheaper, Claude Sonnet 5.5, Gemini 3.1 Pro Preview or GPT-6.1 Sol?
Claude Sonnet 5.5 is cheaper at $2.00 input / $10.00 output per million tokens (official Anthropic API price). GPT-6.1 Sol costs $2.00 input / $10.00 output per million tokens (official OpenAI API price); Gemini 3.1 Pro Preview costs $2.00 input / $12.00 output per million tokens (official Google API price). At a typical mix of three input tokens to one output token, that is $4.00 per million tokens for Claude Sonnet 5.5 versus $4.00 for GPT-6.1 Sol (1× as much) and $4.50 for Gemini 3.1 Pro Preview (1.1× as much).
Which scores higher on benchmarks?
Not every model here has a Capabilities Index score, so we compare the average of shared benchmarks (GPQA Diamond, FrontierMath Tiers 1–3, OTIS Mock AIME 2024–2025 and SimpleQA Verified): GPT-6.1 Sol 90.7%, Claude Sonnet 5.5 82.7% and Gemini 3.1 Pro Preview 80.8%. On individual benchmarks: GPQA Diamond — Claude Sonnet 5.5 95.6%, GPT-6.1 Sol 95.4%, Gemini 3.1 Pro Preview 94.4%; FrontierMath Tiers 1–3 — GPT-6.1 Sol 93.7%, Claude Sonnet 5.5 88.8%, Gemini 3.1 Pro Preview 59.7%; OTIS Mock AIME 2024–2025 — Claude Sonnet 5.5 100%, GPT-6.1 Sol 100%, Gemini 3.1 Pro Preview 95.6%; SimpleQA Verified — GPT-6.1 Sol 73.9%, Gemini 3.1 Pro Preview 73.5%, Claude Sonnet 5.5 46.5%.
Which is better for coding?
There are no published SWE-bench Verified results for Claude Sonnet 5.5 and GPT-6.1 Sol yet, so there is no like-for-like coding score. On overall capability, GPT-6.1 Sol leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.
Which has the bigger context window?
GPT-6.1 Sol and Gemini 3.1 Pro Preview have the largest context windows (1,050,000 and 1,048,576 tokens), against 1,000,000 for Claude Sonnet 5.5. Maximum output per response: Claude Sonnet 5.5 up to 128,000, Gemini 3.1 Pro Preview up to 65,536, GPT-6.1 Sol up to 128,000 tokens.
Which can read images, PDFs, audio or video?
Claude Sonnet 5.5 accepts text, images and PDFs; Gemini 3.1 Pro Preview accepts text, images, PDFs, audio and video; GPT-6.1 Sol accepts text, images and PDFs. Gemini 3.1 Pro Preview handles the widest range of inputs.
Are any of these open source?
No. Claude Sonnet 5.5, Gemini 3.1 Pro Preview and GPT-6.1 Sol are proprietary and only available through APIs and apps.
Which is newer?
GPT-6.1 Sol is the newest, released Sep 29, 2026. Claude Sonnet 5.5 came out Sep 28, 2026; Gemini 3.1 Pro Preview came out Feb 19, 2026. Knowledge cutoff: Claude Sonnet 5.5 Jun 2026, Gemini 3.1 Pro Preview Jan 2025, GPT-6.1 Sol Apr 30, 2026.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.