ZMIME
Comparison · 2 models · Updated Nov 2, 2026

GPT-5.6 Sol vs Muse Wonder

Too close to call on our weighted score (Muse Wonder 68, GPT-5.6 Sol 66). The right pick depends on what you value most.

  1. OpenAI

    GPT-5.6 Sol

    Released Jul 9, 2026

    66/100
    • ECI162.6
    • Price$4.00 / $20.00
    • Context1.05M
    Full specs Remove GPT-5.6 Sol

  2. Meta

    Muse Wonder

    Released Oct 12, 2026New

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

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (Muse Wonder 68/100, GPT-5.6 Sol 66/100), so choose by what matters most for your work: GPT-5.6 Sol for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-5.6 SolCapabilities Index (ECI): GPT-5.6 Sol 162.6 · Muse Wonder 161.7
  • Lowest priceSame priceGPT-5.6 Sol $8.00 · Muse Wonder $8.00 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameGPT-5.6 Sol 1,050,000 · Muse Wonder 1,048,576 tokens
  • Widest inputsMuse WonderGPT-5.6 Sol: Text, Images, PDFs · Muse Wonder: Text, Images, PDFs, Audio, Video
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightGPT-5.6 SolMuse Wonder
CapabilityCapabilities Index (ECI)50%9291
Price25%77
Inputs & features15%80100
Context window10%6161
Overall100%66/10068/100
02 — Side by side

Every spec in one table

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

GPT-5.6 Sol vs Muse Wonder specifications side by side
SpecificationGPT-5.6 SolOpenAIMuse WonderMeta
Capability
Capabilities Index (ECI)162.6 (best)161.7
ECI rank#12 of 165 (best)#13 of 165
GPQA DiamondGraduate-level science questions93.5%—
FrontierMath Tiers 1–3Research-level mathematics89.1% (best)82.1%
OTIS Mock AIME 2024–2025Competition mathematics100% (best)99.4%
SimpleQA VerifiedShort factual questions69.7%—
Price per million tokens
Input$4.00$4.00
Output$20.00$20.00
Cached input$0.40$0.20 (best)
Blended (3:1)$8.00$8.00
Long-context rateOver 272K: $8.00 / $30.00Same rate
Price sourceOfficial OpenAI APIOfficial Meta API
Limits
Context window1,050,000 tokens (best)1,048,576 tokens
Max output128,000 tokens131,072 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsYesYes
AudioNoYes
VideoNoYes
ReasoningYeslow · medium · high · xhigh · maxYesminimal · low · medium · high · xhigh · max
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryProprietary
API model IDgpt-5.6-solmuse-wonder-1.0
API providers49 (best)9
ReleasedJul 9, 2026Oct 12, 2026
Knowledge cutoffFeb 16, 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.

  • GPT-5.6 Sol$80.00
  • Muse Wonder$80.00
04 — Questions

Which should you choose?

Which is better: GPT-5.6 Sol or Muse Wonder?

It is close. Our weighted score puts them within 2 points (Muse Wonder 68/100, GPT-5.6 Sol 66/100), so choose by what matters most for your work: GPT-5.6 Sol for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-5.6 Sol or Muse Wonder?

GPT-5.6 Sol and Muse Wonder cost the same: $4.00 input / $20.00 output per million tokens.

Which scores higher on benchmarks?

GPT-5.6 Sol scores higher on the Capabilities Index (ECI): GPT-5.6 Sol 162.6 (#12 of 165) and Muse Wonder 161.7 (#13 of 165). The confidence ranges of the top two overlap (159.6–166.2 vs 159.2–164.6), so treat the gap as small. On individual benchmarks: FrontierMath Tiers 1–3 — GPT-5.6 Sol 89.1%, Muse Wonder 82.1%; OTIS Mock AIME 2024–2025 — GPT-5.6 Sol 100%, Muse Wonder 99.4%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-5.6 Sol and Muse Wonder yet, so there is no like-for-like coding score. On overall capability, GPT-5.6 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: GPT-5.6 Sol 1,050,000 and Muse Wonder 1,048,576 tokens. Maximum output per response: GPT-5.6 Sol up to 128,000, Muse Wonder up to 131,072 tokens.

Which can read images, PDFs, audio or video?

GPT-5.6 Sol accepts text, images and PDFs; Muse Wonder accepts text, images, PDFs, audio and video. Muse Wonder handles the widest range of inputs.

Are any of these open source?

No. GPT-5.6 Sol and Muse Wonder are proprietary and only available through APIs and apps.

Which is newer?

Muse Wonder is the newest, released 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.

05 — Keep comparing

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