GPT-6.1 Sol vs Muse Wonder vs Claude Opus 5.5
GPT-6.1 Sol comes out ahead, 72 to 69 and 68 on our weighted score, and it is the cheaper option too.
- Our pick
OpenAIGPT-6.1 Sol
72/100- ECI167.8
- Price$2.00 / $10.00
- Context1.05M
MetaMuse Wonder
68/100- ECI161.7
- Price$4.00 / $20.00
- Context1.05M
AnthropicClaude Opus 5.5
69/100- ECI168.4
- Price$4.00 / $20.00
- Context1M
GPT-6.1 Sol is our pick
GPT-6.1 Sol is the better all-round choice, scoring 72/100 against Claude Opus 5.5 (69) and Muse Wonder (68). It leads on price. Muse Wonder wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityClaude Opus 5.5Capabilities Index (ECI): Claude Opus 5.5 168.4 · GPT-6.1 Sol 167.8 · Muse Wonder 161.7
- Lowest priceGPT-6.1 SolGPT-6.1 Sol $4.00 · Muse Wonder $8.00 · Claude Opus 5.5 $8.00 per 1M tokens (3:1 blend)
- Longest contextGPT-6.1 Sol and Muse WonderGPT-6.1 Sol 1,050,000 · Muse Wonder 1,048,576 · Claude Opus 5.5 1,000,000 tokens
- Widest inputsMuse WonderGPT-6.1 Sol: Text, Images, PDFs · Muse Wonder: Text, Images, PDFs, Audio, Video · Claude Opus 5.5: Text, Images, PDFs
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | GPT-6.1 Sol | Muse Wonder | Claude Opus 5.5 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 99 | 91 | 99 |
| Price | 25% | 20 | 7 | 7 |
| Inputs & features | 15% | 80 | 100 | 80 |
| Context window | 10% | 61 | 61 | 60 |
| Overall | 100% | 72/100 | 68/100 | 69/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GPT-6.1 SolOpenAI | Muse WonderMeta | Claude Opus 5.5Anthropic |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 167.8 | 161.7 | 168.4 (best) |
| ECI rank | #4 of 165 | #13 of 165 | #2 of 165 (best) |
| GPQA DiamondGraduate-level science questions | 95.4% (best) | — | 90.6% |
| FrontierMath Tiers 1–3Research-level mathematics | 93.7% (best) | 82.1% | 91.2% |
| OTIS Mock AIME 2024–2025Competition mathematics | 100% (best) | 99.4% | 100% (best) |
| SimpleQA VerifiedShort factual questions | 73.9% (best) | — | 72.2% |
| Price per million tokens | |||
| Input | $2.00 (best) | $4.00 | $4.00 |
| Output | $10.00 (best) | $20.00 | $20.00 |
| Cached input | $0.10 (best) | $0.20 | $0.20 |
| Blended (3:1) | $4.00 (best) | $8.00 | $8.00 |
| Long-context rate | Over 272K: $4.00 / $15.00 | Same rate | Same rate |
| Price source | Official OpenAI API | Official Meta API | Official Anthropic API |
| Limits | |||
| Context window | 1,050,000 tokens (best) | 1,048,576 tokens | 1,000,000 tokens |
| Max output | 128,000 tokens | 131,072 tokens (best) | 128,000 tokens |
| 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 | Yesminimal · low · medium · high · xhigh · max | Yeslow · medium · high · xhigh · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | gpt-6.1-sol | muse-wonder-1.0 | claude-opus-5-5 |
| API providers | 33 | 9 | 36 (best) |
| Released | Sep 29, 2026 | Oct 12, 2026 | Sep 22, 2026 |
| Knowledge cutoff | Apr 30, 2026 | — | Jun 2026 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- GPT-6.1 Sol$40.00
- Muse Wonder$80.00
- Claude Opus 5.5$80.00
Which should you choose?
Which is better: GPT-6.1 Sol, Muse Wonder or Claude Opus 5.5?
GPT-6.1 Sol is the better all-round choice, scoring 72/100 against Claude Opus 5.5 (69) and Muse Wonder (68). It leads on price. Muse Wonder wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GPT-6.1 Sol, Muse Wonder or Claude Opus 5.5?
GPT-6.1 Sol is cheaper at $2.00 input / $10.00 output per million tokens (official OpenAI API price). Muse Wonder costs $4.00 input / $20.00 output per million tokens (official Meta API price); Claude Opus 5.5 costs $4.00 input / $20.00 output per million tokens (official Anthropic API price). At a typical mix of three input tokens to one output token, that is $4.00 per million tokens for GPT-6.1 Sol versus $8.00 for Muse Wonder (2× as much) and $8.00 for Claude Opus 5.5 (2× as much).
Which scores higher on benchmarks?
Claude Opus 5.5 scores higher on the Capabilities Index (ECI): Claude Opus 5.5 168.4 (#2 of 165), GPT-6.1 Sol 167.8 (#4 of 165) and Muse Wonder 161.7 (#13 of 165). The confidence ranges of the top two overlap (165.4–173.0 vs 164.3–172.5), so treat the gap as small. On individual benchmarks: FrontierMath Tiers 1–3 — GPT-6.1 Sol 93.7%, Claude Opus 5.5 91.2%, Muse Wonder 82.1%; OTIS Mock AIME 2024–2025 — GPT-6.1 Sol 100%, Claude Opus 5.5 100%, Muse Wonder 99.4%.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-6.1 Sol, Muse Wonder and Claude Opus 5.5 yet, so there is no like-for-like coding score. On overall capability, Claude Opus 5.5 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 Muse Wonder have the largest context windows (1,050,000 and 1,048,576 tokens), against 1,000,000 for Claude Opus 5.5. Maximum output per response: GPT-6.1 Sol up to 128,000, Muse Wonder up to 131,072, Claude Opus 5.5 up to 128,000 tokens.
Which can read images, PDFs, audio or video?
GPT-6.1 Sol accepts text, images and PDFs; Muse Wonder accepts text, images, PDFs, audio and video; Claude Opus 5.5 accepts text, images and PDFs. Muse Wonder handles the widest range of inputs.
Are any of these open source?
No. GPT-6.1 Sol, Muse Wonder and Claude Opus 5.5 are proprietary and only available through APIs and apps.
Which is newer?
Muse Wonder is the newest, released Oct 12, 2026. GPT-6.1 Sol came out Sep 29, 2026; Claude Opus 5.5 came out Sep 22, 2026. Knowledge cutoff: GPT-6.1 Sol Apr 30, 2026, Claude Opus 5.5 Jun 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 Nov 2, 2026.
