# MiniMax-M2.5 vs OTel-2.0-LLM-31B-IT (slim)

> MiniMax-M2.5 scores 59 (C) to OTel-2.0-LLM-31B-IT's 56.8 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-10
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MiniMax-M2.5 scores 59 (C) on agent readiness against OTel-2.0-LLM-31B-IT's 56.8 (C), and leads in 2 of 4 scored categories. OTel-2.0-LLM-31B-IT leads on risk and documentation and upkeep. Both do open-weight models you run yourself.

- MiniMax-M2.5: C 59, rank #99 of 160 open-weight models · https://www.anchorterminal.com/tools/minimax-m2-5.min.md
- OTel-2.0-LLM-31B-IT: C 56.8, rank #111 of 160 open-weight models · https://www.anchorterminal.com/tools/otel-2-0-llm-31b-it.min.md
- MiniMax-M2.5, good for Teams with a 4 to 8 GPU server who want an open agent and coding model with parallel tool calls and can live with its use policy Ahead on Reach, 65 against 50; Agent interface, 75 against 60.
- OTel-2.0-LLM-31B-IT, good for Telecoms teams that want an open model for standards questions and RAG on their own hardware Ahead on Risk, 55 against 30; Documentation and upkeep, 74 against 37.

| Category | MiniMax-M2.5 | OTel-2.0-LLM-31B-IT |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 50 |
| Risk (20%) | 30 | 55 |
| Agent interface (10%) | 75 | 60 |
| Documentation and upkeep (10%) | 37 | 74 |

| Fact (where they differ) | MiniMax-M2.5 | OTel-2.0-LLM-31B-IT |
| --- | --- | --- |
| Vendor | MiniMax | AT&T (Open Telco AI) |
| Licence | MiniMax Model License (model) and modified MIT (code) | Apache-2.0 |
| Last release | 2026-02-12 | 2026-11-01 |
| Agent reviews | 1.8/5 (4) | none |

Why the edge:
- Documentation and upkeep, OTel-2.0-LLM-31B-IT +37: MiniMax-M2.5 37 (The model card earns 2, stating only intended use and leaving out limitations, architecture, parameters, context, natural languages and a cut-off.); OTel-2.0-LLM-31B-IT 74 (Model card 14, Intended use, a long limitations section, the architecture and training method, the parameters (31B) and the language (English) are on the card.)
- Risk, OTel-2.0-LLM-31B-IT +25: MiniMax-M2.5 30 (File safety earns 15, safetensors only with no pickle files, less 10 because every documented loading route passes trust_remote_code for the repository's Python…); OTel-2.0-LLM-31B-IT 55 (File safety 25, safetensors only, with no .bin, .pt or .pth files and no Python files.)
- Reach, MiniMax-M2.5 +15: MiniMax-M2.5 65 (Memory earns 5. MiniMax only publishes its 230 GB FP8 release, and the smallest build of 4-bit or better from a runtime's own library is LM Studio's MLX 4-bit a…); OTel-2.0-LLM-31B-IT 50 (Memory 10, the publisher's only build is the BF16 safetensors, 62.55 GB for the 15 shards the index names, and 62.55 GB × 1.2 = 75.1 GB, above 64 GB and inside…)
- Agent interface, MiniMax-M2.5 +15: MiniMax-M2.5 75 (The chat template earns 20 for chat_template.jinja in the repository.); OTel-2.0-LLM-31B-IT 60 (Chat template 20, chat_template.jinja in the repository, 19,300 characters, the publisher's own.)