ZMIME
Comparison · 3 models · Updated Nov 2, 2026

Claude Opus 5.5 vs Muse Wonder vs GPT-6.1 Sol

GPT-6.1 Sol comes out ahead, 72 to 69 and 68 on our weighted score, and it is the cheaper option too.

  1. Anthropic

    Claude Opus 5.5

    Released Sep 22, 2026New

    69/100
    • ECI168.4
    • Price$4.00 / $20.00
    • Context1M
  2. Meta

    Muse Wonder

    Released Oct 12, 2026New

    68/100
    • ECI161.7
    • Price$4.00 / $20.00
    • Context1.05M
  3. Our pick

    OpenAI

    GPT-6.1 Sol

    Released Sep 29, 2026New

    72/100
    • ECI167.8
    • Price$2.00 / $10.00
    • Context1.05M
01 — Verdict

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 · Claude Opus 5.5 $8.00 · Muse Wonder $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 WonderClaude Opus 5.5: Text, Images, PDFs · Muse Wonder: Text, Images, PDFs, Audio, Video · GPT-6.1 Sol: Text, Images, PDFs
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightClaude Opus 5.5Muse WonderGPT-6.1 Sol
CapabilityCapabilities Index (ECI)50%999199
Price25%7720
Inputs & features15%8010080
Context window10%606161
Overall100%69/10068/10072/100
02 — Side by side

Every spec in one table

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

Claude Opus 5.5 vs Muse Wonder vs GPT-6.1 Sol specifications side by side
SpecificationClaude Opus 5.5AnthropicMuse WonderMetaGPT-6.1 SolOpenAI
Capability
Capabilities Index (ECI)168.4 (best)161.7167.8
ECI rank#2 of 165 (best)#13 of 165#4 of 165
GPQA DiamondGraduate-level science questions90.6%—95.4% (best)
FrontierMath Tiers 1–3Research-level mathematics91.2%82.1%93.7% (best)
OTIS Mock AIME 2024–2025Competition mathematics100% (best)99.4%100% (best)
SimpleQA VerifiedShort factual questions72.2%—73.9% (best)
Price per million tokens
Input$4.00$4.00$2.00 (best)
Output$20.00$20.00$10.00 (best)
Cached input$0.20$0.20$0.10 (best)
Blended (3:1)$8.00$8.00$4.00 (best)
Long-context rateSame rateSame rateOver 272K: $4.00 / $15.00
Price sourceOfficial Anthropic APIOfficial Meta APIOfficial OpenAI API
Limits
Context window1,000,000 tokens1,048,576 tokens1,050,000 tokens (best)
Max output128,000 tokens131,072 tokens (best)128,000 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesYesYes
AudioNoYesNo
VideoNoYesNo
ReasoningYeslow · medium · high · xhigh · maxYesminimal · low · medium · high · xhigh · maxYeslow · medium · high · xhigh · max
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryProprietaryProprietary
API model IDclaude-opus-5-5muse-wonder-1.0gpt-6.1-sol
API providers36 (best)933
ReleasedSep 22, 2026Oct 12, 2026Sep 29, 2026
Knowledge cutoffJun 2026—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.

  • Claude Opus 5.5$80.00
  • Muse Wonder$80.00
  • GPT-6.1 Sol$40.00
04 — Questions

Which should you choose?

Which is better: Claude Opus 5.5, Muse Wonder or GPT-6.1 Sol?

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, Claude Opus 5.5, 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). Claude Opus 5.5 costs $4.00 input / $20.00 output per million tokens (official Anthropic 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 Claude Opus 5.5 (2× as much) and $8.00 for Muse Wonder (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 — Claude Opus 5.5 100%, GPT-6.1 Sol 100%, Muse Wonder 99.4%.

Which is better for coding?

There are no published SWE-bench Verified results for Claude Opus 5.5, Muse Wonder and GPT-6.1 Sol 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: Claude Opus 5.5 up to 128,000, Muse Wonder up to 131,072, GPT-6.1 Sol up to 128,000 tokens.

Which can read images, PDFs, audio or video?

Claude Opus 5.5 accepts text, images and PDFs; 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. Claude Opus 5.5, 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; Claude Opus 5.5 came out Sep 22, 2026. Knowledge cutoff: Claude Opus 5.5 Jun 2026, 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.