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Comparison · 3 models · Updated Nov 2, 2026

Muse Wonder vs DeepSeek V4.1 Flash 1017 vs GPT-5.6 Sol

DeepSeek V4.1 Flash 1017 comes out ahead, 79 to 68 and 66 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
  2. Our pick

    DeepSeek

    DeepSeek V4.1 Flash 1017

    Released Oct 17, 2026New

    79/100
    • ECI158.8
    • Price$0.15 / $0.60
    • Context1M
  3. OpenAI

    GPT-5.6 Sol

    Released Jul 9, 2026

    66/100
    • ECI162.6
    • Price$4.00 / $20.00
    • Context1.05M
01 — Verdict

DeepSeek V4.1 Flash 1017 is our pick

DeepSeek V4.1 Flash 1017 is the better all-round choice, scoring 79/100 against Muse Wonder (68) and GPT-5.6 Sol (66). It leads on price. Muse Wonder wins on inputs & features. 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 · DeepSeek V4.1 Flash 1017 158.8
  • Lowest priceDeepSeek V4.1 Flash 1017DeepSeek V4.1 Flash 1017 $0.263 · Muse Wonder $8.00 · GPT-5.6 Sol $8.00 per 1M tokens (3:1 blend)
  • Longest contextGPT-5.6 Sol and Muse WonderGPT-5.6 Sol 1,050,000 · Muse Wonder 1,048,576 · DeepSeek V4.1 Flash 1017 1,000,000 tokens
  • Widest inputsMuse WonderMuse Wonder: Text, Images, PDFs, Audio, Video · DeepSeek V4.1 Flash 1017: Text, Images · GPT-5.6 Sol: Text, Images, PDFs
  • Self-hostingDeepSeek V4.1 Flash 1017Publishes downloadable weights (MIT)
How the score is built
MeasureWeightMuse WonderDeepSeek V4.1 Flash 1017GPT-5.6 Sol
CapabilityCapabilities Index (ECI)50%918792
Price25%7747
Inputs & features15%1007080
Context window10%616061
Overall100%68/10079/10066/100
02 — Side by side

Every spec in one table

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

Muse Wonder vs DeepSeek V4.1 Flash 1017 vs GPT-5.6 Sol specifications side by side
SpecificationMuse WonderMetaDeepSeek V4.1 Flash 1017DeepSeekGPT-5.6 SolOpenAI
Capability
Capabilities Index (ECI)161.7158.8162.6 (best)
ECI rank#13 of 165#19 of 165#12 of 165 (best)
GPQA DiamondGraduate-level science questions—93.2%93.5% (best)
FrontierMath Tiers 1–3Research-level mathematics82.1%71.2%89.1% (best)
OTIS Mock AIME 2024–2025Competition mathematics99.4%99.4%100% (best)
SimpleQA VerifiedShort factual questions—42.5%69.7% (best)
Price per million tokens
Input$4.00$0.15 (best)$4.00
Output$20.00$0.60 (best)$20.00
Cached input$0.20$0.003 (best)$0.40
Blended (3:1)$8.00$0.263 (best)$8.00
Long-context rateSame rateSame rateOver 272K: $8.00 / $30.00
Price sourceOfficial Meta APIOfficial DeepSeek APIOfficial OpenAI API
Limits
Context window1,048,576 tokens1,000,000 tokens1,050,000 tokens (best)
Max output131,072 tokens384,000 tokens (best)128,000 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesNoYes
AudioYesNoNo
VideoYesNoNo
ReasoningYesminimal · low · medium · high · xhigh · maxYeslow · high · maxYeslow · medium · high · xhigh · max
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryOpenMITProprietary
API model IDmuse-wonder-1.0deepseek-flashgpt-5.6-sol
API providers94049 (best)
ReleasedOct 12, 2026Oct 17, 2026Jul 9, 2026
Knowledge cutoff—May 2025Feb 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.

  • Muse Wonder$80.00
  • DeepSeek V4.1 Flash 1017$2.70
  • GPT-5.6 Sol$80.00
04 — Questions

Which should you choose?

Which is better: Muse Wonder, DeepSeek V4.1 Flash 1017 or GPT-5.6 Sol?

DeepSeek V4.1 Flash 1017 is the better all-round choice, scoring 79/100 against Muse Wonder (68) and GPT-5.6 Sol (66). 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, Muse Wonder, DeepSeek V4.1 Flash 1017 or GPT-5.6 Sol?

DeepSeek V4.1 Flash 1017 is cheaper at $0.15 input / $0.60 output per million tokens (official DeepSeek API price). Muse Wonder costs $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 $0.263 per million tokens for DeepSeek V4.1 Flash 1017 versus $8.00 for Muse Wonder (30× as much) and $8.00 for GPT-5.6 Sol (30× as much).

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), Muse Wonder 161.7 (#13 of 165) and DeepSeek V4.1 Flash 1017 158.8 (#19 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%, DeepSeek V4.1 Flash 1017 71.2%; OTIS Mock AIME 2024–2025 — GPT-5.6 Sol 100%, Muse Wonder 99.4%, DeepSeek V4.1 Flash 1017 99.4%.

Which is better for coding?

There are no published SWE-bench Verified results for Muse Wonder, DeepSeek V4.1 Flash 1017 and GPT-5.6 Sol 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. All three support tool calling for agent workflows.

Which has the bigger context window?

GPT-5.6 Sol and Muse Wonder have the largest context windows (1,050,000 and 1,048,576 tokens), against 1,000,000 for DeepSeek V4.1 Flash 1017. Maximum output per response: Muse Wonder up to 131,072, DeepSeek V4.1 Flash 1017 up to 384,000, 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; DeepSeek V4.1 Flash 1017 accepts text and images; GPT-5.6 Sol accepts text, images and PDFs. Muse Wonder handles the widest range of inputs.

Are any of these open source?

DeepSeek V4.1 Flash 1017 publishes its weights (MIT) and can be self-hosted; Muse Wonder and GPT-5.6 Sol is proprietary.

Which is newer?

DeepSeek V4.1 Flash 1017 is the newest, released Oct 17, 2026. Muse Wonder came out Oct 12, 2026; GPT-5.6 Sol came out Jul 9, 2026. Knowledge cutoff: DeepSeek V4.1 Flash 1017 May 2025, 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.