Muse Spark 1.2vsQwen3.8-27B
Muse Spark 1.2 | Qwen3.8-27B | |
|---|---|---|
| Specifications | ||
Parameters | — | 27B |
Context window | 1M | 262k |
| Benchmarks | ||
Agentic coding SWE-Bench ProCan the AI fix real bugs in real software? It's handed actual problems from open-source projects and has to write code that genuinely solves them. Higher is better. | — | 61.7% |
Agentic coding DeepSWE 1.1Artificial Analysis' independent test of deep, agentic software-engineering work — the AI has to plan and carry out substantial coding tasks end to end. (Version 1.1 of the test.) Higher is better. | 59.3%Best | 42.2% |
Repo-level code generation NL2Repo-BenchTests whether the AI can turn a natural-language requirement into working code across an entire repository, not just produce a single function or patch. Higher is better. | — | 42.3% |
Software engineering QwenSWEBenchQwen's in-house coding benchmark for evaluating a model's ability to complete software-engineering work. Higher is better. | — | 79% |
Competitive coding LiveCodeBenchCoding problems published so recently the AI can't have seen them in training — a contamination-free test of raw programming skill. Higher is better. | — | 90.3% |
Agentic terminal coding Terminal-Bench 2.1Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? Higher is better. | 82.9%Best | 73% |
Professional tool use JobBenchTests the AI on professional workplace tasks that require using real work tools — the kind of multi-step jobs an office worker handles. Higher is better. | — | 33.4% |
Long-horizon office work CoWorkBenchTests long-running office tasks across fields including computer science, finance, law, medicine, and other productivity work. Higher is better. | — | 70.7% |
Multidisciplinary reasoning Humanity's Last Exam · no toolsHumanity's Last Exam — extremely hard expert questions across many subjects, written so you can't just look up the answer. “No tools” means the AI answers on its own. Higher is better. | — | 30.8% |
Science GPQA DiamondGraduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | — | 89.2% |
Instruction following IFBenchTests whether the AI can follow detailed instructions and satisfy multiple constraints at once. Higher is better. | — | 79.5% |
Agentic computer use Agent's Last Exam · pass@1A hard set of desktop and operating-system tasks an AI agent has to finish by looking at the screen and working the machine itself. The score is the share it passes outright — partial credit does not count. Higher is better. | — | 20.4% |
Agentic computer use Agent's Last Exam · scoreThe graded score on the same desktop and operating-system tasks in Agent's Last Exam, giving partial credit for progress beyond the strict pass-or-fail result. Higher is better. | — | 42.9% |
Community preference Arena Elo (Text)Real people chat with two anonymous AIs side by side and vote for the answer they prefer. Votes become a chess-style Elo rating on arena.ai — it measures which AI people actually like, not test scores. Higher is better. | 1498 | — |
Community preference (code) Arena Elo (Code)Like the text arena, but people vote on which AI writes better code. The votes become a chess-style Elo rating on arena.ai. Higher is better. | 1544 | — |
| Overview | ||
| Company | Meta | Qwen |
| Release date | Aug 5 2026 | Aug 14 2026 |
| Access | Proprietary | Open Weight |
Which is better: Muse Spark 1.2 or Qwen3.8-27B?
Muse Spark 1.2 leads Qwen3.8-27B on 2 of the 2 benchmarks they both report (DeepSWE 1.1, Terminal-Bench 2.1). Muse Spark 1.2 shipped 9 days before Qwen3.8-27B, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Muse Spark 1.2) vs 262k (Qwen3.8-27B). Muse Spark 1.2 is proprietary, while Qwen3.8-27B is open weight.
On DeepSWE 1.1, Muse Spark 1.2 leads at 59.3% vs Qwen3.8-27B at 42.2%. On Terminal-Bench 2.1, Muse Spark 1.2 leads at 82.9% vs Qwen3.8-27B at 73%.
Frequently asked questions
Muse Spark 1.2 was released by Meta on Aug 5 2026.
Qwen3.8-27B was released by Qwen on Aug 14 2026.
Muse Spark 1.2 leads on DeepSWE 1.1 — Muse Spark 1.2 59.3% vs Qwen3.8-27B 42.2%.
Muse Spark 1.2 has a 1M context window; Qwen3.8-27B has 262k.
Muse Spark 1.2 is a proprietary model released by Meta. Qwen3.8-27B is an open weight model released by Qwen.
Other comparisons
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