Muse Wonder vs Muse Wonder Full vs GPT-5.6 Sol
Muse Wonder comes out ahead, 84 to 72 and 72 on our weighted score.
- Our pick
MetaMuse Wonder
84/100- ECI161.7
- Price$4.00 / $20.00
- Context1.05M
- Meta
Muse Wonder Full
72/100- ECI—
- Price—
- Context1.05M
OpenAIGPT-5.6 Sol
72/100- ECI162.6
- Price$4.00 / $20.00
- Context1.05M
Muse Wonder is our pick
Muse Wonder is the better all-round choice, scoring 84/100 against Muse Wonder Full (72) and GPT-5.6 Sol (72). It leads on inputs & features. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceMuse Wonder and GPT-5.6 SolMuse Wonder $8.00 · GPT-5.6 Sol $8.00 per 1M tokens (3:1 blend) · Muse Wonder Full unpriced
- Longest contextAbout the sameGPT-5.6 Sol 1,050,000 · Muse Wonder 1,048,576 · Muse Wonder Full 1,048,576 tokens
- Widest inputsMuse WonderMuse Wonder: Text, Images, PDFs, Audio, Video · Muse Wonder Full: Text, Images, Audio, Video · GPT-5.6 Sol: Text, Images, PDFs
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Muse Wonder | Muse Wonder Full | GPT-5.6 Sol |
|---|---|---|---|---|
| Inputs & features | 60% | 100 | 80 | 80 |
| Context window | 40% | 61 | 61 | 61 |
| Overall | 100% | 84/100 | 72/100 | 72/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Muse WonderMeta | Muse Wonder FullMeta | GPT-5.6 SolOpenAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 161.7 | — | 162.6 (best) |
| ECI rank | #13 of 165 | — | #12 of 165 (best) |
| GPQA DiamondGraduate-level science questions | — | — | 93.5% |
| FrontierMath Tiers 1–3Research-level mathematics | 82.1% | — | 89.1% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 99.4% | — | 100% (best) |
| SimpleQA VerifiedShort factual questions | — | — | 69.7% |
| Price per million tokens | |||
| Input | $4.00 | — | $4.00 |
| Output | $20.00 | — | $20.00 |
| Cached input | $0.20 (best) | — | $0.40 |
| Blended (3:1) | $8.00 | — | $8.00 |
| Long-context rate | Same rate | — | Over 272K: $8.00 / $30.00 |
| Price source | Official Meta API | — | Official OpenAI API |
| Limits | |||
| Context window | 1,048,576 tokens | 1,048,576 tokens | 1,050,000 tokens (best) |
| Max output | 131,072 tokens (best) | — | 128,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | No | Yes |
| Audio | Yes | Yes | No |
| Video | Yes | Yes | No |
| Reasoning | Yesminimal · low · medium · high · xhigh · max | Yes | Yeslow · medium · high · xhigh · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | muse-wonder-1.0 | — | gpt-5.6-sol |
| API providers | 9 | — | 49 (best) |
| Released | Oct 12, 2026 | Oct 12, 2026 | Jul 9, 2026 |
| Knowledge cutoff | — | — | Feb 16, 2026 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Muse Wonder$80.00
- Muse Wonder Full—
- GPT-5.6 Sol$80.00
Which should you choose?
Which is better: Muse Wonder, Muse Wonder Full or GPT-5.6 Sol?
Muse Wonder is the better all-round choice, scoring 84/100 against Muse Wonder Full (72) and GPT-5.6 Sol (72). It leads on inputs & features. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Muse Wonder, Muse Wonder Full or GPT-5.6 Sol?
Muse Wonder is cheaper at $4.00 input / $20.00 output per million tokens (official Meta API price). GPT-5.6 Sol costs $4.00 input / $20.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $8.00 per million tokens for Muse Wonder versus $8.00 for GPT-5.6 Sol (1× as much). Muse Wonder Full has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Muse Wonder has an ECI of 161.7, Muse Wonder Full has not been scored yet and GPT-5.6 Sol has an ECI of 162.6.
Which is better for coding?
There are no published SWE-bench Verified results for Muse Wonder, Muse Wonder Full and GPT-5.6 Sol yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Their context windows are effectively the same size: Muse Wonder 1,048,576, Muse Wonder Full 1,048,576 and GPT-5.6 Sol 1,050,000 tokens. Maximum output per response: Muse Wonder up to 131,072, GPT-5.6 Sol up to 128,000 tokens.
Which can read images, PDFs, audio or video?
Muse Wonder accepts text, images, PDFs, audio and video; Muse Wonder Full accepts text, images, audio and video; GPT-5.6 Sol accepts text, images and PDFs. Muse Wonder handles the widest range of inputs.
Are any of these open source?
No. Muse Wonder, Muse Wonder Full and GPT-5.6 Sol are proprietary and only available through APIs and apps.
Which is newer?
Muse Wonder is the newest, released Oct 12, 2026. Muse Wonder Full came out Oct 12, 2026; GPT-5.6 Sol came out Jul 9, 2026. Knowledge cutoff: GPT-5.6 Sol Feb 16, 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.
