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Model comparison

Muse Spark 1.2 vs Qwen 3.7 Max

Meta against Qwen, compared on context, price, and verified benchmark results.

Catalog record checked September 26, 2026Individual provider fields may changeEvidence confidence: High — see receipts below

Meta

Muse Spark 1.2

Frontier

vs

Qwen

Qwen 3.7 Max

Frontier

AI model capability comparison
SpecificationMuse Spark 1.2Qwen 3.7 Max
ProviderMetaQwen
TierFrontierFrontier
Context windowWinner: 1.05M1M
Max outputNot verifiedUnverified128K
Input / 1M tokensWinner: $1.25$2.50
Output / 1M tokensWinner: $4.25$7.50
WeightsClosedClosed
ParametersMeta frontier modelproprietary MoE
Reasoning levelsminimal, low, medium, high, xhigh, maxlow, high, max
Modalitiestext, image, video, audio, pdftext, image, video
API model idmuse-spark-1.2qwen3.7-max
ReleasedAugust 5, 2026May 20, 2026
Artificial Analysis Intelligence Index [xhigh] (2026-09-26)39.6Not verifiedUnverified
Artificial Analysis Intelligence Index (2026-09-26)Not verifiedUnverified29.5

Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Bold indicates the better figure where one is objectively better. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.

Benchmark receipts

Where each score comes from, and how far it can be compared across models.

  • 2026-09-26
    Artificial Analysis

    Composite index blending reasoning, knowledge, and coding evals into one 0–100 score.

    Comparable with caveatOnly same-version scores are comparable. v4.3.2 was rebaselined (the top score fell from 66 on v4.1.1 to ~58), so v4.1.1 figures must not be compared with v4.3.2 figures — check measuredAt.

Pricing tiers

Muse Spark 1.2: $1.25/$4.25 per MTok on Meta's Model API (Standard tier shared with Muse Spark 1.3; cached input $0.15). Closed weights.

Qwen 3.7 Max: Model Studio list $2.50/$7.50 per MTok; a 50%-off promo ($1.25/$3.75) ran at launch. Closed API.

FrontierRecord checked September 26, 2026

Muse Spark 1.2

Muse Spark 1.2 is Meta's closed frontier model until the 1.3 refresh (2026-09-02) — still served and ranked in the LMArena text top 10 as of mid-2026.

Best for

  • Frontier reasoning
  • Meta ecosystem
  • Agentic work

Watch out

Closed-weights (unlike Llama 4); Meta's post-Llama-4 frontier branding.

FrontierRecord checked September 26, 2026

Qwen 3.7 Max

Qwen 3.7 Max is Alibaba's previous-generation proprietary flagship with a 1M-token context.

Best for

  • API-only multimodal
  • Long-context
  • Enterprise

Watch out

Model Studio now lists it under legacy models ('no longer recommended'); succeeded by Qwen 3.8 Max. Closed weights.

When the cheaper one wins

Muse Spark 1.2 is cheaper on output at $4.25 per million tokens against $7.50 for Qwen 3.7 Max — about 1.8×. Use the cheaper tier for classification, extraction, summarisation, and any task where the expensive model’s extra score does not change the accepted output. The expensive one only pays if your hardest task actually fails on the cheap tier. These are standard-tier API rates, excluding batch and cache discounts.

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Evidence confidence: High

How strong and complete the evidence behind this comparison is — not a prediction of which model is better.

  • Pricing verified on both sides — Input and output rates are verified for both models.
  • 4/5 core specs verified on both sides — Not published for at least one side: max output.
  • 1 shared named benchmark with differing scores — Measured on: Artificial Analysis Intelligence Index.
  • Verified within the last 90 days — Newest catalog check was 2 days ago.
  • Both models carry source citations — Each side has at least two catalog sources on record.

Source receipts

Each catalog figure was checked against the provider or an independent second source on the date shown.

Related comparisons

Diving deeper on one model? Muse Spark 1.2 · Qwen 3.7 Max

Common questions

Muse Spark 1.2 vs Qwen 3.7 Max

Answered from the verified figures on this page rather than general guidance.

Is Muse Spark 1.2 or Qwen 3.7 Max cheaper for input?
Muse Spark 1.2 is cheaper at $1.25 per million input tokens, against $2.50 for Qwen 3.7 Max — roughly 2.0× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; Muse Spark 1.2 has tiered pricing: $1.25/$4.25 per MTok on Meta's Model API (Standard tier shared with Muse Spark 1.3; cached input $0.15). Closed weights. Qwen 3.7 Max has tiered pricing: Model Studio list $2.50/$7.50 per MTok; a 50%-off promo ($1.25/$3.75) ran at launch. Closed API.
Is Muse Spark 1.2 or Qwen 3.7 Max cheaper for output?
Muse Spark 1.2 is cheaper at $4.25 per million output tokens, against $7.50 for Qwen 3.7 Max — roughly 1.8× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; Muse Spark 1.2 has tiered pricing: $1.25/$4.25 per MTok on Meta's Model API (Standard tier shared with Muse Spark 1.3; cached input $0.15). Closed weights. Qwen 3.7 Max has tiered pricing: Model Studio list $2.50/$7.50 per MTok; a 50%-off promo ($1.25/$3.75) ran at launch. Closed API.
Which has the larger context window, Muse Spark 1.2 or Qwen 3.7 Max?
Muse Spark 1.2 accepts 1.05M tokens against 1M for Qwen 3.7 Max. This only matters if you routinely send very long documents or large codebases.
Do Muse Spark 1.2 and Qwen 3.7 Max support the same reasoning levels?
Muse Spark 1.2 exposes minimal, low, medium, high, xhigh, max, while Qwen 3.7 Max exposes low, high, max.
Should I use Muse Spark 1.2 or Qwen 3.7 Max?
Both sit in the frontier tier, so the choice usually comes down to price and context rather than capability. Muse Spark 1.2 suits frontier reasoning; Qwen 3.7 Max suits api-only multimodal.

Next step

Choosing between them

The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.

  • Input price: Muse Spark 1.2 costs $1.25 per 1M tokens versus $2.50 for Qwen 3.7 Max — a 2x difference at the headline tier.
  • Context: Muse Spark 1.2 takes 1.05M against 1M for Qwen 3.7 Max — only decisive if your prompts approach the smaller window.
  • Measured capability: Muse Spark 1.2 leads Artificial Analysis Intelligence Index 39.6 to 29.5 (measured 2026-09-26).
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