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Comparison · 2 models · Updated Oct 4, 2026

Muse Spark 1.1 vs Qwen3.8 Max

Too close to call on our weighted score (Muse Spark 1.1 70, Qwen3.8 Max 69). The right pick depends on what you value most.

  1. 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

  2. Alibaba (Qwen)

    Qwen3.8 Max

    Released Aug 3, 2026

    69/100
    • ECI156.6
    • Price$2.00 / $6.00
    • Context1M
    Full specs Remove Qwen3.8 Max

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Muse Spark 1.1 70/100, Qwen3.8 Max 69/100), so choose by what matters most for your work: Qwen3.8 Max for raw capability, Muse Spark 1.1 on price and Muse Spark 1.1 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityQwen3.8 MaxCapabilities Index (ECI): Qwen3.8 Max 156.6 · Muse Spark 1.1 154.3
  • Lowest priceMuse Spark 1.1Muse Spark 1.1 $2.00 · Qwen3.8 Max $3.00 per 1M tokens (3:1 blend)
  • Longest contextMuse Spark 1.1Muse Spark 1.1 1,048,576 · Qwen3.8 Max 1,000,000 tokens
  • Widest inputsSame inputsMuse Spark 1.1: Text, Images, PDFs, Video · Qwen3.8 Max: Text, Images, PDFs, Video
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightMuse Spark 1.1Qwen3.8 Max
CapabilityCapabilities Index (ECI)50%8486
Price25%3627
Inputs & features15%9090
Context window10%6160
Overall100%70/10069/100
02 — Side by side

Every spec in one table

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

Muse Spark 1.1 vs Qwen3.8 Max specifications side by side
SpecificationMuse Spark 1.1MetaQwen3.8 MaxAlibaba (Qwen)
Capability
Capabilities Index (ECI)154.3156.6 (best)
ECI rank#35 of 148#20 of 148 (best)
GPQA DiamondGraduate-level science questions—92.7%
FrontierMath Tiers 1–3Research-level mathematics—74.7%
OTIS Mock AIME 2024–2025Competition mathematics—99.4%
SimpleQA VerifiedShort factual questions57.8% (best)45.8%
Price per million tokens
Input$1.25 (best)$2.00
Output$4.25 (best)$6.00
Cached input$0.15 (best)$0.25
Blended (3:1)$2.00 (best)$3.00
Long-context rateSame rateSame rate
Price sourceOfficial Meta APIOfficial Alibaba API
Limits
Context window1,048,576 tokens (best)1,000,000 tokens
Max output131,072 tokens131,072 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsYesYes
AudioNoNo
VideoYesYes
ReasoningYesminimal · low · medium · high · xhighYeslow · medium · xhigh
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryProprietary
API model IDmuse-spark-1.1qwen3.8-max
API providers1325 (best)
ReleasedJul 9, 2026Aug 3, 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.

  • Muse Spark 1.1$21.00
  • Qwen3.8 Max$32.00
04 — Questions

Which should you choose?

Which is better: Muse Spark 1.1 or Qwen3.8 Max?

It is close. Our weighted score puts them within a point (Muse Spark 1.1 70/100, Qwen3.8 Max 69/100), so choose by what matters most for your work: Qwen3.8 Max for raw capability, Muse Spark 1.1 on price and Muse Spark 1.1 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Muse Spark 1.1 or Qwen3.8 Max?

Muse Spark 1.1 is cheaper at $1.25 input / $4.25 output per million tokens (official Meta API price). Qwen3.8 Max costs $2.00 input / $6.00 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 $3.00 for Qwen3.8 Max (1.5× as much).

Which scores higher on benchmarks?

Qwen3.8 Max scores higher on the Capabilities Index (ECI): Qwen3.8 Max 156.6 (#20 of 148) and Muse Spark 1.1 154.3 (#35 of 148). The confidence ranges of the top two overlap (154.5–158.8 vs 152.2–157.1), so treat the gap as small. On individual benchmarks: SimpleQA Verified — Muse Spark 1.1 57.8%, Qwen3.8 Max 45.8%.

Which is better for coding?

There are no published SWE-bench Verified results for Muse Spark 1.1 and Qwen3.8 Max yet, so there is no like-for-like coding score. On overall capability, Qwen3.8 Max 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 Qwen3.8 Max. Maximum output per response: Muse Spark 1.1 up to 131,072, Qwen3.8 Max up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Muse Spark 1.1 accepts text, images, PDFs and video; Qwen3.8 Max accepts text, images, PDFs and video. They handle the same number of input types.

Are any of these open source?

No. Muse Spark 1.1 and Qwen3.8 Max are proprietary and only available through APIs and apps.

Which is newer?

Qwen3.8 Max is the newest, released Aug 3, 2026. Muse Spark 1.1 came out Jul 9, 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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