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Comparison · 2 models · Updated Nov 2, 2026

Muse Spark Open vs Qwen3.8 Max 0902

Too close to call on our weighted score (Muse Spark Open 68, Qwen3.8 Max 0902 67). The right pick depends on what you value most.

  1. Meta

    Muse Spark Open

    Released Oct 15, 2026New

    68/100
    • ECI155.1
    • Price$1.25 / $4.25
    • Context1.05M
    Full specs Remove Muse Spark Open

  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

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within 1 points (Muse Spark Open 68/100, Qwen3.8 Max 0902 67/100), so choose by what matters most for your work: Qwen3.8 Max 0902 for raw capability, Muse Spark Open on price and Muse Spark Open for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityQwen3.8 Max 0902Capabilities Index (ECI): Qwen3.8 Max 0902 156.2 · Muse Spark Open 155.1
  • Lowest priceMuse Spark OpenMuse Spark Open $2.00 · Qwen3.8 Max 0902 $3.00 per 1M tokens (3:1 blend)
  • Longest contextMuse Spark OpenMuse Spark Open 1,048,576 · Qwen3.8 Max 0902 1,000,000 tokens
  • Widest inputsSame inputsMuse Spark Open: Text, Images, Audio, Video · Qwen3.8 Max 0902: Text, Images, PDFs, Video
  • Self-hostingMuse Spark OpenPublishes downloadable weights (Muse Model License)
How the score is built
MeasureWeightMuse Spark OpenQwen3.8 Max 0902
CapabilityCapabilities Index (ECI)50%8384
Price25%3426
Inputs & features15%8080
Context window10%6160
Overall100%68/10067/100
02 — Side by side

Every spec in one table

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

Muse Spark Open vs Qwen3.8 Max 0902 specifications side by side
SpecificationMuse Spark OpenMetaQwen3.8 Max 0902Alibaba (Qwen)
Capability
Capabilities Index (ECI)155.1156.2 (best)
ECI rank#39 of 165#32 of 165 (best)
GPQA DiamondGraduate-level science questions88.6%92.3% (best)
FrontierMath Tiers 1–3Research-level mathematics69.8% (best)65.6%
OTIS Mock AIME 2024–2025Competition mathematics98.1%100% (best)
SimpleQA VerifiedShort factual questions56.6% (best)47.3%
Price per million tokens
Input$1.25 (best)$2.00
Output$4.25 (best)$6.00
Cached input——
Blended (3:1)$2.00 (best)$3.00
Long-context rateSame rateSame rate
Price sourceMedian of 16 providersMedian 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
PDFsNoYes
AudioYesNo
VideoYesYes
ReasoningYesYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenMuse Model LicenseProprietary
API model ID——
API providers16 (best)9
ReleasedOct 15, 2026Sep 2, 2026
Knowledge cutoffJan 4, 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 Spark Open$21.00
  • Qwen3.8 Max 0902$32.00
04 — Questions

Which should you choose?

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

It is close. Our weighted score puts them within 1 points (Muse Spark Open 68/100, Qwen3.8 Max 0902 67/100), so choose by what matters most for your work: Qwen3.8 Max 0902 for raw capability, Muse Spark Open on price and Muse Spark Open for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

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

Muse Spark Open is cheaper at $1.25 input / $4.25 output per million tokens (median across 16 API providers). 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 Open versus $3.00 for Qwen3.8 Max 0902 (1.5× as much).

Which scores higher on benchmarks?

Qwen3.8 Max 0902 scores higher on the Capabilities Index (ECI): Qwen3.8 Max 0902 156.2 (#32 of 165) and Muse Spark Open 155.1 (#39 of 165). The confidence ranges of the top two overlap (153.7–159.2 vs 153.1–157.3), so treat the gap as small. On individual benchmarks: GPQA Diamond — Qwen3.8 Max 0902 92.3%, Muse Spark Open 88.6%; FrontierMath Tiers 1–3 — Muse Spark Open 69.8%, Qwen3.8 Max 0902 65.6%; OTIS Mock AIME 2024–2025 — Qwen3.8 Max 0902 100%, Muse Spark Open 98.1%; SimpleQA Verified — Muse Spark Open 56.6%, Qwen3.8 Max 0902 47.3%.

Which is better for coding?

There are no published SWE-bench Verified results for Muse Spark Open and Qwen3.8 Max 0902 yet, so there is no like-for-like coding score. On overall capability, Qwen3.8 Max 0902 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 Open 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 Open up to 131,072, Qwen3.8 Max 0902 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Muse Spark Open accepts text, images, audio and video; Qwen3.8 Max 0902 accepts text, images, PDFs and video. They handle the same number of input types.

Are any of these open source?

Muse Spark Open publishes its weights (Muse Model License) and can be self-hosted; Qwen3.8 Max 0902 is proprietary.

Which is newer?

Muse Spark Open is the newest, released Oct 15, 2026. Qwen3.8 Max 0902 came out Sep 2, 2026. Knowledge cutoff: Muse Spark Open Jan 4, 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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