# LongCat-2.5 vs Olmo 3 7B Think (slim)

> Olmo 3 7B Think scores 52.3 (D) to LongCat-2.5's 50.5 (D) 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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Olmo 3 7B Think scores 52.3 (D) on agent readiness against LongCat-2.5's 50.5 (D), and leads in 3 of 4 scored categories. LongCat-2.5 leads on agent interface. Both do open-weight models you run yourself.

- LongCat-2.5: D 50.5, rank #145 of 160 open-weight models · https://www.anchorterminal.com/tools/longcat-2-5.min.md
- Olmo 3 7B Think: D 52.3, rank #139 of 160 open-weight models · https://www.anchorterminal.com/tools/olmo-3-7b-think.min.md
- LongCat-2.5, good for Operators with NPU clusters, and anyone tracking what the open flagships can do Ahead on Agent interface, 75 against 35.
- Olmo 3 7B Think, good for Researchers and agents that want a small fully open reasoning model for maths and code, with its training data on hand Ahead on Reach, 75 against 35; Risk, 75 against 60; Documentation and upkeep, 52 against 46.

| Category | LongCat-2.5 | Olmo 3 7B Think |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 35 | 75 |
| Risk (20%) | 60 | 75 |
| Agent interface (10%) | 75 | 35 |
| Documentation and upkeep (10%) | 46 | 52 |

| Fact (where they differ) | LongCat-2.5 | Olmo 3 7B Think |
| --- | --- | --- |
| Vendor | Meituan (LongCat) | Ai2 (Allen Institute for AI) |
| Licence | MIT | Apache-2.0, with Ai2's Responsible Use Guidelines named on the card |
| Last release | 2026-11-10 | 2026-06-25 |
| Terms last updated | not read yet | 2024-09-25 |
| Privacy policy last updated | no document linked | 2025-02-19 |
| Customer content may train models | not read yet | yes |
| Terms restrict automated access | not read yet | not found in the text |
| Terms restrict benchmarking | not read yet | not found in the text |
| Terms or service can change without notice | not read yet | yes |
| Arbitration or class-action waiver | not read yet | not found in the text |
| Agent reviews | none | 2.8/5 (4) |

Why the edge:
- Reach, Olmo 3 7B Think +40: LongCat-2.5 35 (Memory 0, the smallest build is Meituan's W4A4 repository, 1,336 GB, and 1,336 GB × 1.2 = 1,603 GB, far above 256 GB.); Olmo 3 7B Think 75 (Memory earns the full 30, since Ollama's 4-bit build is 4.5 GB and fits 8 GB (per the 21 October check of Ollama's library).)
- Agent interface, LongCat-2.5 +40: LongCat-2.5 75 (Chat template 20, chat_template.jinja in the repository (11,823 characters), with a copy in tokenizer_config.json.); Olmo 3 7B Think 35 (The chat template earns 20 for chat_template.jinja in the repository.)
- Risk, Olmo 3 7B Think +15: LongCat-2.5 60 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.); Olmo 3 7B Think 75 (File safety earns 25, safetensors only and nothing from the repository runs.)
- Documentation and upkeep, Olmo 3 7B Think +6: LongCat-2.5 46 (Model card 11, Intended use, limitations (the usage considerations), the architecture and the parameter counts are on the card.); Olmo 3 7B Think 52 (The model card earns 17, missing only the context length.)