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Comparison · 2 models · Updated Oct 4, 2026

Qwen3.7 Max vs Muse Spark 1.1

Muse Spark 1.1 comes out ahead, 70 to 58 on our weighted score, and it is the cheaper option too.

  1. Alibaba (Qwen)

    Qwen3.7 Max

    Released May 21, 2026

    58/100
    • ECI153.7
    • Price$2.50 / $7.50
    • Context1M
    Full specs Remove Qwen3.7 Max
  2. Our pick

    Meta

    Muse Spark 1.1

    Released Jul 9, 2026

    70/100
    • ECI154.3
    • Price$1.25 / $4.25
    • Context1.05M
    Full specs Remove Muse Spark 1.1

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Muse Spark 1.1 is our pick

Muse Spark 1.1 is the better all-round choice, scoring 70/100 against Qwen3.7 Max (58). It leads on price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityMuse Spark 1.1Capabilities Index (ECI): Muse Spark 1.1 154.3 · Qwen3.7 Max 153.7
  • Lowest priceMuse Spark 1.1Muse Spark 1.1 $2.00 · Qwen3.7 Max $3.75 per 1M tokens (3:1 blend)
  • Longest contextMuse Spark 1.1Muse Spark 1.1 1,048,576 · Qwen3.7 Max 1,000,000 tokens
  • Widest inputsMuse Spark 1.1Qwen3.7 Max: Text · Muse Spark 1.1: Text, Images, PDFs, Video
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightQwen3.7 MaxMuse Spark 1.1
CapabilityCapabilities Index (ECI)50%8384
Price25%2336
Inputs & features15%3590
Context window10%6061
Overall100%58/10070/100
02 — Side by side

Every spec in one table

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

Qwen3.7 Max vs Muse Spark 1.1 specifications side by side
SpecificationQwen3.7 MaxAlibaba (Qwen)Muse Spark 1.1Meta
Capability
Capabilities Index (ECI)153.7154.3 (best)
ECI rank#37 of 148#35 of 148 (best)
GPQA DiamondGraduate-level science questions90.9%—
FrontierMath Tiers 1–3Research-level mathematics64.6%—
OTIS Mock AIME 2024–2025Competition mathematics95.6%—
SWE-bench VerifiedFixing real GitHub issues77.3%—
SimpleQA VerifiedShort factual questions55.8%57.8% (best)
Price per million tokens
Input$2.50$1.25 (best)
Output$7.50$4.25 (best)
Cached input$0.50$0.15 (best)
Blended (3:1)$3.75$2.00 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Alibaba APIOfficial Meta API
Limits
Context window1,000,000 tokens1,048,576 tokens (best)
Max output65,536 tokens131,072 tokens (best)
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoYes
AudioNoNo
VideoNoYes
ReasoningYesYesminimal · low · medium · high · xhigh
Tool callingYesYes
Structured outputNoYes
Availability
WeightsProprietaryProprietary
API model IDqwen3.7-maxmuse-spark-1.1
API providers26 (best)13
ReleasedMay 21, 2026Jul 9, 2026
Knowledge cutoff——
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.

  • Qwen3.7 Max$40.00
  • Muse Spark 1.1$21.00
04 — Questions

Which should you choose?

Which is better: Qwen3.7 Max or Muse Spark 1.1?

Muse Spark 1.1 is the better all-round choice, scoring 70/100 against Qwen3.7 Max (58). It leads on price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Qwen3.7 Max or Muse Spark 1.1?

Muse Spark 1.1 is cheaper at $1.25 input / $4.25 output per million tokens (official Meta API price). Qwen3.7 Max costs $2.50 input / $7.50 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $2.00 per million tokens for Muse Spark 1.1 versus $3.75 for Qwen3.7 Max (1.9× as much).

Which scores higher on benchmarks?

Muse Spark 1.1 scores higher on the Capabilities Index (ECI): Muse Spark 1.1 154.3 (#35 of 148) and Qwen3.7 Max 153.7 (#37 of 148). The confidence ranges of the top two overlap (152.2–157.1 vs 151.9–156.0), so treat the gap as small. On individual benchmarks: SimpleQA Verified — Muse Spark 1.1 57.8%, Qwen3.7 Max 55.8%.

Which is better for coding?

There are no published SWE-bench Verified results for Muse Spark 1.1 yet, so there is no like-for-like coding score. On overall capability, Muse Spark 1.1 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?

Muse Spark 1.1 has the largest context window at 1,048,576 tokens, against 1,000,000 for Qwen3.7 Max. Maximum output per response: Qwen3.7 Max up to 65,536, Muse Spark 1.1 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Qwen3.7 Max accepts text; Muse Spark 1.1 accepts text, images, PDFs and video. Muse Spark 1.1 handles the widest range of inputs.

Are any of these open source?

No. Qwen3.7 Max and Muse Spark 1.1 are proprietary and only available through APIs and apps.

Which is newer?

Muse Spark 1.1 is the newest, released Jul 9, 2026. Qwen3.7 Max came out May 21, 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 Oct 4, 2026.

05 — Keep comparing

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