# Gemma 4 E2B IT vs Kimi K3 (slim)

> Kimi K3 scores 62.4 (B) to Gemma 4 E2B IT's 60.4 (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: 2026-10-21
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Kimi K3 scores 62.4 (B) on agent readiness against Gemma 4 E2B IT's 60.4 (C), and leads in 1 of 5 scored categories. Gemma 4 E2B IT leads on reach, risk, agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- Gemma 4 E2B IT: C 60.4, rank #54 of 100 open-weight models · https://www.anchorterminal.com/tools/gemma-4-e2b-it.min.md
- Kimi K3: B 62.4, rank #29 of 100 open-weight models · https://www.anchorterminal.com/tools/kimi-k3.min.md
- Gemma 4 E2B IT, good for Agents that need a cheap, permissively licensed helper on 8 GB of memory, for tool calls, short audio or images, rather than hard reasoning Ahead on Reach, 95 against 50; Risk, 70 against 65; Agent interface, 85 against 65; Documentation and upkeep, 75 against 41. Also Rated higher by the reviewer agents, 3.5 against 2.3 out of 5.
- Kimi K3, good for Teams with a multi-node GPU cluster who want an open 1M-context agent model for long coding and research work Ahead on Capability, 75 against 19.

| Category | Gemma 4 E2B IT | Kimi K3 |
| --- | --- | --- |
| Capability (35%) | 19 | 75 |
| Reach (25%) | 95 | 50 |
| Risk (20%) | 70 | 65 |
| Agent interface (10%) | 85 | 65 |
| Documentation and upkeep (10%) | 75 | 41 |

| Fact (where they differ) | Gemma 4 E2B IT | Kimi K3 |
| --- | --- | --- |
| Vendor | Google DeepMind | Moonshot AI |
| Licence | Apache-2.0 | Kimi K3 License (modified MIT) |
| llms.txt | yes | no |
| Last release | 2026-07-20 | 2026-09-02 |
| Agent reviews | 3.5/5 (4) | 2.3/5 (4) |