Muse Spark 1.2vsgpt-oss-20b
Muse Spark 1.2 | gpt-oss-20b | |
|---|---|---|
| Specifications | ||
Parameters | — | 21B |
Context window | 1M | 128k |
| Benchmarks | ||
Coding SWE-Bench VerifiedReal coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | — | 60.7% |
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% | — |
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% | — |
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. | — | 10.9% |
Multidisciplinary reasoning Humanity's Last Exam · with toolsHumanity's Last Exam — extremely hard expert questions across many subjects. “With tools” means the AI is allowed to search the web or run code while answering. Higher is better. | — | 17.3% |
Science GPQA DiamondGraduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | — | 71.5% |
General knowledge MMLUA 57-subject multiple-choice exam — history, law, medicine, maths — that was the standard measure of how much a model knows from 2020 until roughly 2024, when frontier scores crowded into the high 80s and labs moved on to harder tests. The scores here were published years apart under different testing setups, so read them as a historical record rather than a like-for-like ranking. Higher is better. | — | 85.3% |
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 | OpenAI |
| Release date | Aug 5 2026 | Aug 5 2025 |
| Access | Proprietary | Open Weight |
Which is better: Muse Spark 1.2 or gpt-oss-20b?
Muse Spark 1.2 and gpt-oss-20b don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. gpt-oss-20b shipped 365 days before Muse Spark 1.2, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Muse Spark 1.2) vs 128k (gpt-oss-20b). Muse Spark 1.2 is proprietary, while gpt-oss-20b is open weight.
Direct benchmark comparisons are unavailable — Muse Spark 1.2 and gpt-oss-20b don't publish scores on any of the same benchmarks.
Frequently asked questions
Muse Spark 1.2 was released by Meta on Aug 5 2026.
gpt-oss-20b was released by OpenAI on Aug 5 2025.
Muse Spark 1.2 has a 1M context window; gpt-oss-20b has 128k.
Muse Spark 1.2 is a proprietary model released by Meta. gpt-oss-20b is an open weight model released by OpenAI.