Muse Spark 1.1 vs Qwen3.8-27B: Specs & Benchmark Comparison
Muse Spark 1.1 is developed by Meta, while Qwen3.8-27B comes from Alibaba. Muse Spark 1.1 was released in July 2026, and Qwen3.8-27B followed a month later in August 2026. Qwen3.8-27B has a published size of about 28 billion parameters; Meta has not disclosed the parameter count of Muse Spark 1.1.
The two models share 8 published benchmarks. They split them evenly, 4 to 4. The widest gaps are on Humanity's Last Exam, where Muse Spark 1.1 scores 62.1% against 30.8%; Job Bench, where Muse Spark 1.1 scores 54.7% against 33.4%. Averaged across everything we track, Muse Spark 1.1 sits at 70.7% and Qwen3.8-27B at 66.3%.
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 Qwen3.8-27B, so pricing and context cannot be compared directly.
| Characteristic | Muse Spark 1.1 | Qwen3.8-27B |
|---|---|---|
| Company | Meta | Alibaba |
| Release Date | July 9, 2026 | August 14, 2026 |
| Parameters | — | 28B |
| Multimodal | Yes | Yes |
| Context (input) | 1.0M | — |
| Context (output) | 131K | — |
| Input Price / 1M | $1.25 | — |
| Output Price / 1M | $4.25 | — |
| Average Score | 70.7% | 66.3% |
| Benchmarks | ||
| Humanity's Last Exam | 62.1% | 30.8% |
| Job Bench | 54.7% | 33.4% |
| DeepSWE 1.1 | 53.0% | 42.2% |
| BabyVision | 76.3% | 85.6% |
| Terminal-Bench 2.1 | 80.0% | 73.0% |
| OSWorld-Verified | 81.0% | 84.3% |
| CharXiv-R | 88.0% | 90.2% |
| SWE-Bench Pro | 61.5% | 61.7% |
Visual Benchmark Comparison
Verdict
Qwen3.8-27B leads in 1 out of 2 comparison categories.
Both models show comparable average scores: Muse Spark 1.1 — 0.7, Qwen3.8-27B — 0.7.
Qwen3.8-27B is newer: released 8/14/2026 vs 7/9/2026.
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Frequently Asked Questions
Which is better for coding — Muse Spark 1.1 or Qwen3.8-27B?
Which model is cheaper — Muse Spark 1.1 or Qwen3.8-27B?
Which has a larger context window — Muse Spark 1.1 or Qwen3.8-27B?
The Muse Spark 1.1 and Qwen3.8-27B 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 Qwen3.8-27B page. See also the complete list of AI model comparisons.