Muse Glimmervsgpt-oss-20b
Muse Glimmer | gpt-oss-20b | |
|---|---|---|
| Specifications | ||
Parameters | 30B | 21B |
Context window | — | 128k |
| 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. | 51.2% | — |
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. | 76%Best | 60.7% |
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. | 51.7% | — |
Multi-step tool use MCP AtlasCan the AI chain together many tools and steps to complete one bigger task, rather than doing just a single thing? Higher is better. | 75.5% | — |
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. | 22%Best | 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. | 83.5%Best | 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% |
Agentic computer use OSWorld-VerifiedCan the AI actually operate a computer — clicking, typing, and using real apps — to finish tasks on its own? Higher is better. | 65.9% | — |
Knowledge work GDPval-AA v2economically valuable knowledge work (v2, re-based Elo) | 953 | — |
Chart reasoning CharXiv ReasoningCan the AI read and reason about complex charts and figures, not just text? Higher is better. | 78.8% | — |
Multimodal reasoning MMMU-ProA tougher version of MMMU — college-level questions that mix images, diagrams, and text together. Higher is better. | 74% | — |
| Overview | ||
| Company | Meta | OpenAI |
| Release date | Aug 10 2026 | Aug 5 2025 |
| Access | Open Weight | Open Weight |
Which is better: Muse Glimmer or gpt-oss-20b?
Muse Glimmer leads gpt-oss-20b on 3 of the 3 benchmarks they both report (SWE-Bench Verified, Humanity's Last Exam, GPQA Diamond). gpt-oss-20b shipped 370 days before Muse Glimmer, so benchmark comparisons should account for the intervening progress.
Muse Glimmer has 30B parameters, while gpt-oss-20b has 21B.
On SWE-Bench Verified, Muse Glimmer leads at 76% vs gpt-oss-20b at 60.7%. On Humanity's Last Exam · no tools, Muse Glimmer leads at 22% vs gpt-oss-20b at 10.9%. On GPQA Diamond, Muse Glimmer leads at 83.5% vs gpt-oss-20b at 71.5%.
Frequently asked questions
Muse Glimmer was released by Meta on Aug 10 2026.
gpt-oss-20b was released by OpenAI on Aug 5 2025.
Muse Glimmer leads on SWE-Bench Verified — Muse Glimmer 76% vs gpt-oss-20b 60.7%.
Muse Glimmer leads on Humanity's Last Exam · no tools — Muse Glimmer 22% vs gpt-oss-20b 10.9%.