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Comparison · 2 models · Updated Nov 2, 2026

Muse Spark 1.3 vs Qwen3.8 Max 0902

Muse Spark 1.3 comes out ahead, 72 to 67 on our weighted score, and it is the cheaper option too.

  1. Our pick

    Meta

    Muse Spark 1.3

    Released Sep 2, 2026

    72/100
    • ECI157.4
    • Price$1.25 / $4.25
    • Context1.05M
    Full specs Remove Muse Spark 1.3

  2. Alibaba (Qwen)

    Qwen3.8 Max 0902

    Released Sep 2, 2026

    67/100
    • ECI156.2
    • Price$2.00 / $6.00
    • Context1M
    Full specs Remove Qwen3.8 Max 0902

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Muse Spark 1.3 is our pick

Muse Spark 1.3 is the better all-round choice, scoring 72/100 against Qwen3.8 Max 0902 (67). It leads on price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityMuse Spark 1.3Capabilities Index (ECI): Muse Spark 1.3 157.4 · Qwen3.8 Max 0902 156.2
  • Lowest priceMuse Spark 1.3Muse Spark 1.3 $2.00 · Qwen3.8 Max 0902 $3.00 per 1M tokens (3:1 blend)
  • Longest contextMuse Spark 1.3Muse Spark 1.3 1,048,576 · Qwen3.8 Max 0902 1,000,000 tokens
  • Widest inputsMuse Spark 1.3Muse Spark 1.3: Text, Images, PDFs, Audio, Video · Qwen3.8 Max 0902: Text, Images, PDFs, Video
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightMuse Spark 1.3Qwen3.8 Max 0902
CapabilityCapabilities Index (ECI)50%8684
Price25%3426
Inputs & features15%10080
Context window10%6160
Overall100%72/10067/100
02 — Side by side

Every spec in one table

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

Muse Spark 1.3 vs Qwen3.8 Max 0902 specifications side by side
SpecificationMuse Spark 1.3MetaQwen3.8 Max 0902Alibaba (Qwen)
Capability
Capabilities Index (ECI)157.4 (best)156.2
ECI rank#24 of 165 (best)#32 of 165
GPQA DiamondGraduate-level science questions—92.3%
FrontierMath Tiers 1–3Research-level mathematics74.4% (best)65.6%
OTIS Mock AIME 2024–2025Competition mathematics99.2%100% (best)
SimpleQA VerifiedShort factual questions—47.3%
Price per million tokens
Input$1.25 (best)$2.00
Output$4.25 (best)$6.00
Cached input$0.15—
Blended (3:1)$2.00 (best)$3.00
Long-context rateSame rateSame rate
Price sourceOfficial Meta APIMedian of 9 providers
Limits
Context window1,048,576 tokens (best)1,000,000 tokens
Max output131,072 tokens131,072 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsYesYes
AudioYesNo
VideoYesYes
ReasoningYesminimal · low · medium · high · xhigh · maxYes
Tool callingYesYes
Structured outputYesNo
Availability
WeightsProprietaryProprietary
API model IDmuse-spark-1.3—
API providers17 (best)9
ReleasedSep 2, 2026Sep 2, 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 1.3$21.00
  • Qwen3.8 Max 0902$32.00
04 — Questions

Which should you choose?

Which is better: Muse Spark 1.3 or Qwen3.8 Max 0902?

Muse Spark 1.3 is the better all-round choice, scoring 72/100 against Qwen3.8 Max 0902 (67). It leads on price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Muse Spark 1.3 or Qwen3.8 Max 0902?

Muse Spark 1.3 is cheaper at $1.25 input / $4.25 output per million tokens (official Meta API price). Qwen3.8 Max 0902 costs $2.00 input / $6.00 output per million tokens (median across 9 API providers). At a typical mix of three input tokens to one output token, that is $2.00 per million tokens for Muse Spark 1.3 versus $3.00 for Qwen3.8 Max 0902 (1.5× as much).

Which scores higher on benchmarks?

Muse Spark 1.3 scores higher on the Capabilities Index (ECI): Muse Spark 1.3 157.4 (#24 of 165) and Qwen3.8 Max 0902 156.2 (#32 of 165). The confidence ranges of the top two overlap (155.4–159.9 vs 153.7–159.2), so treat the gap as small. On individual benchmarks: FrontierMath Tiers 1–3 — Muse Spark 1.3 74.4%, Qwen3.8 Max 0902 65.6%; OTIS Mock AIME 2024–2025 — Qwen3.8 Max 0902 100%, Muse Spark 1.3 99.2%.

Which is better for coding?

There are no published SWE-bench Verified results for Muse Spark 1.3 and Qwen3.8 Max 0902 yet, so there is no like-for-like coding score. On overall capability, Muse Spark 1.3 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 1.3 has the largest context window at 1,048,576 tokens, against 1,000,000 for Qwen3.8 Max 0902. Maximum output per response: Muse Spark 1.3 up to 131,072, Qwen3.8 Max 0902 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Muse Spark 1.3 accepts text, images, PDFs, audio and video; Qwen3.8 Max 0902 accepts text, images, PDFs and video. Muse Spark 1.3 handles the widest range of inputs.

Are any of these open source?

No. Muse Spark 1.3 and Qwen3.8 Max 0902 are proprietary and only available through APIs and apps.

Which is newer?

Muse Spark 1.3 is the newest, released Sep 2, 2026. Qwen3.8 Max 0902 came out Sep 2, 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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