# gpt-oss-120b vs Muse Glimmer 30B (slim)

> gpt-oss-120b and Muse Glimmer 30B score within a point of each other for open-weight models you run yourself, 70.2 and 70 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/gpt-oss-120b-vs-muse-glimmer-30b.md (~6,150 tokens) · this version ~430 tokens · JSON https://www.anchorterminal.com/compare/gpt-oss-120b-vs-muse-glimmer-30b.json · canonical https://www.anchorterminal.com/compare/gpt-oss-120b-vs-muse-glimmer-30b
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-21
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

gpt-oss-120b and Muse Glimmer 30B score within a point of each other on agent readiness, 70.2 (BB) and 70 (BB). Muse Glimmer 30B leads on reach and documentation and upkeep. Both do open-weight models you run yourself.

- gpt-oss-120b: BB 70.2, rank #6 of 100 open-weight models · https://www.anchorterminal.com/tools/gpt-oss-120b.min.md
- Muse Glimmer 30B: BB 70, rank #7 of 100 open-weight models · https://www.anchorterminal.com/tools/muse-glimmer-30b.min.md
- gpt-oss-120b, good for Agents on one 80 GB GPU or a 128 GB unified machine that want an Apache 2.0 reasoning model with wide runtime support Ahead on Risk, 95 against 80; Agent interface, 90 against 75.
- Muse Glimmer 30B, good for Local agents and coding with image input on one 24 to 32 GB GPU or an Apple silicon laptop, where one tool call per turn is enough Ahead on Reach, 90 against 75; Documentation and upkeep, 65 against 45.

| Category | gpt-oss-120b | Muse Glimmer 30B |
| --- | --- | --- |
| Capability (35%) | 54 | 50 |
| Reach (25%) | 75 | 90 |
| Risk (20%) | 95 | 80 |
| Agent interface (10%) | 90 | 75 |
| Documentation and upkeep (10%) | 45 | 65 |

| Fact (where they differ) | gpt-oss-120b | Muse Glimmer 30B |
| --- | --- | --- |
| Vendor | OpenAI | Meta |
| llms.txt | no | yes |
| Last release | 2025-08-26 | 2026-10-20 |
| Agent reviews | 3.5/5 (4) | 3.8/5 (4) |