Muse GlimmervsGPT-5.2
Muse Glimmer | GPT-5.2 | |
|---|---|---|
| Specifications | ||
Parameters | 30B | — |
| Benchmarks | ||
Nonsense detection BullshitBench v2Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | — | 38% |
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% | 80%Best |
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% | — |
Abstract reasoning ARC-AGI-2Puzzle-style tests of abstract reasoning and pattern-finding — the kind of thing people find easy but AIs often struggle with. Higher is better. | — | 52.9% |
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% | 92.4%Best |
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% | — |
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. | — | 1476 |
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. | — | 1419 |
| Overview | ||
| Company | Meta | OpenAI |
| Release date | Aug 10 2026 | Dec 11 2025 |
| Access | Open Weight | Proprietary |
Which is better: Muse Glimmer or GPT-5.2?
GPT-5.2 leads Muse Glimmer on 2 of the 2 benchmarks they both report (SWE-Bench Verified, GPQA Diamond). GPT-5.2 shipped 242 days before Muse Glimmer, so benchmark comparisons should account for the intervening progress.
Muse Glimmer is open weight, while GPT-5.2 is proprietary.
On SWE-Bench Verified, GPT-5.2 leads at 80% vs Muse Glimmer at 76%. On GPQA Diamond, GPT-5.2 leads at 92.4% vs Muse Glimmer at 83.5%.
Frequently asked questions
Muse Glimmer was released by Meta on Aug 10 2026.
GPT-5.2 was released by OpenAI on Dec 11 2025.
GPT-5.2 leads on SWE-Bench Verified — Muse Glimmer 76% vs GPT-5.2 80%.
GPT-5.2 leads on GPQA Diamond — Muse Glimmer 83.5% vs GPT-5.2 92.4%.
Muse Glimmer is an open weight model released by Meta. GPT-5.2 is a proprietary model released by OpenAI.
Other comparisons
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