Muse Spark 1.1 vs Qwen3 VL 32B Thinking: Specs & Benchmark Comparison

Muse Spark 1.1 is developed by Meta, while Qwen3 VL 32B Thinking comes from Alibaba. Qwen3 VL 32B Thinking was released in September 2025, and Muse Spark 1.1 followed 10 months later in July 2026. Qwen3 VL 32B Thinking has a published size of about 33 billion parameters; Meta has not disclosed the parameter count of Muse Spark 1.1.

We have 11 benchmark results for Muse Spark 1.1 and 6 benchmark results for Qwen3 VL 32B Thinking, but they were measured on different benchmarks, so there is no like-for-like scoreboard.

Muse Spark 1.1 is available through an API at $1.25 per million input tokens with a 1M-token context window. We do not track a hosted API for Qwen3 VL 32B Thinking, so pricing and context cannot be compared directly.

CharacteristicMuse Spark 1.1Qwen3 VL 32B Thinking
CompanyMetaAlibaba
Release DateJuly 9, 2026September 21, 2025
Parameters33B
MultimodalYesYes
Context (input)1.0M
Context (output)131K
Input Price / 1M$1.25
Output Price / 1M$4.25
Average Score70.7%14450.8%

Verdict

Both models show equal results — the choice depends on your specific use case.

Overall Performance

Qwen3 VL 32B Thinking shows a higher average benchmark score: 144.5 vs 0.7.

Recency

Muse Spark 1.1 is newer: released 7/9/2026 vs 9/21/2025.

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Frequently Asked Questions

Which is better for coding — Muse Spark 1.1 or Qwen3 VL 32B Thinking?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Muse Spark 1.1 or Qwen3 VL 32B Thinking?
API pricing data is available on the individual model pages.
Which has a larger context window — Muse Spark 1.1 or Qwen3 VL 32B Thinking?
Context window data is available on the individual model pages.

The Muse Spark 1.1 and Qwen3 VL 32B Thinking comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Muse Spark 1.1 or Qwen3 VL 32B Thinking page. See also the complete list of AI model comparisons.