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Comparison · 2 models · Updated Nov 2, 2026

Muse Wonder vs GPT-6.1 Sol

GPT-6.1 Sol comes out ahead, 72 to 68 on our weighted score, and it is the cheaper option too.

  1. Meta

    Muse Wonder

    Released Oct 12, 2026New

    68/100
    • ECI161.7
    • Price$4.00 / $20.00
    • Context1.05M
    Full specs Remove Muse Wonder
  2. Our pick

    OpenAI

    GPT-6.1 Sol

    Released Sep 29, 2026New

    72/100
    • ECI167.8
    • Price$2.00 / $10.00
    • Context1.05M
    Full specs Remove GPT-6.1 Sol

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

GPT-6.1 Sol is our pick

GPT-6.1 Sol is the better all-round choice, scoring 72/100 against Muse Wonder (68). It leads on capability and price. Muse Wonder wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-6.1 SolCapabilities Index (ECI): GPT-6.1 Sol 167.8 · Muse Wonder 161.7
  • Lowest priceGPT-6.1 SolGPT-6.1 Sol $4.00 · Muse Wonder $8.00 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameGPT-6.1 Sol 1,050,000 · Muse Wonder 1,048,576 tokens
  • Widest inputsMuse WonderMuse Wonder: Text, Images, PDFs, Audio, Video · GPT-6.1 Sol: Text, Images, PDFs
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightMuse WonderGPT-6.1 Sol
CapabilityCapabilities Index (ECI)50%9199
Price25%720
Inputs & features15%10080
Context window10%6161
Overall100%68/10072/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Muse Wonder vs GPT-6.1 Sol specifications side by side
SpecificationMuse WonderMetaGPT-6.1 SolOpenAI
Capability
Capabilities Index (ECI)161.7167.8 (best)
ECI rank#13 of 165#4 of 165 (best)
GPQA DiamondGraduate-level science questions—95.4%
FrontierMath Tiers 1–3Research-level mathematics82.1%93.7% (best)
OTIS Mock AIME 2024–2025Competition mathematics99.4%100% (best)
SimpleQA VerifiedShort factual questions—73.9%
Price per million tokens
Input$4.00$2.00 (best)
Output$20.00$10.00 (best)
Cached input$0.20$0.10 (best)
Blended (3:1)$8.00$4.00 (best)
Long-context rateSame rateOver 272K: $4.00 / $15.00
Price sourceOfficial Meta APIOfficial OpenAI API
Limits
Context window1,048,576 tokens1,050,000 tokens (best)
Max output131,072 tokens (best)128,000 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsYesYes
AudioYesNo
VideoYesNo
ReasoningYesminimal · low · medium · high · xhigh · maxYeslow · medium · high · xhigh · max
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryProprietary
API model IDmuse-wonder-1.0gpt-6.1-sol
API providers933 (best)
ReleasedOct 12, 2026Sep 29, 2026
Knowledge cutoff—Apr 30, 2026
03 — Cost

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
  • GPT-6.1 Sol$40.00
04 — Questions

Which should you choose?

Which is better: Muse Wonder or GPT-6.1 Sol?

GPT-6.1 Sol is the better all-round choice, scoring 72/100 against Muse Wonder (68). It leads on capability and price. Muse Wonder wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Muse Wonder or GPT-6.1 Sol?

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). 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).

Which scores higher on benchmarks?

GPT-6.1 Sol scores higher on the Capabilities Index (ECI): 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 (164.3–172.5 vs 159.2–164.6), so treat the gap as small. On individual benchmarks: FrontierMath Tiers 1–3 — GPT-6.1 Sol 93.7%, Muse Wonder 82.1%; OTIS Mock AIME 2024–2025 — GPT-6.1 Sol 100%, Muse Wonder 99.4%.

Which is better for coding?

There are no published SWE-bench Verified results for Muse Wonder 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. Both 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 and GPT-6.1 Sol 1,050,000 tokens. Maximum output per response: Muse Wonder up to 131,072, GPT-6.1 Sol up to 128,000 tokens.

Which can read images, PDFs, audio or video?

Muse Wonder accepts text, images, PDFs, audio and video; GPT-6.1 Sol accepts text, images and PDFs. Muse Wonder handles the widest range of inputs.

Are any of these open source?

No. Muse Wonder and GPT-6.1 Sol 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. Knowledge cutoff: 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 Nov 2, 2026.

05 — Keep comparing

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