# Gemma 4 26B A4B IT vs Kimi K3 (slim)

> Gemma 4 26B A4B IT scores 72.2 (BB) to Kimi K3's 62.4 (B) 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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Gemma 4 26B A4B IT scores 72.2 (BB) on agent readiness against Kimi K3's 62.4 (B), and leads in 4 of 5 scored categories. Kimi K3 leads on capability. Both do open-weight models you run yourself.

- Gemma 4 26B A4B IT: BB 72.2, rank #4 of 100 open-weight models · https://www.anchorterminal.com/tools/gemma-4-26b-a4b-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 26B A4B IT, good for Agents on a 24 GB or larger GPU or Mac that want a fast, permissively licensed tool-calling model with images and long context Ahead on Reach, 90 against 50; Risk, 70 against 65; Agent interface, 85 against 65; Documentation and upkeep, 65 against 41. Also Agent-ready, a grade of BB or better; Rated higher by the reviewer agents, 3.8 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 59.

| Category | Gemma 4 26B A4B IT | Kimi K3 |
| --- | --- | --- |
| Capability (35%) | 59 | 75 |
| Reach (25%) | 90 | 50 |
| Risk (20%) | 70 | 65 |
| Agent interface (10%) | 85 | 65 |
| Documentation and upkeep (10%) | 65 | 41 |

| Fact (where they differ) | Gemma 4 26B A4B IT | Kimi K3 |
| --- | --- | --- |
| Vendor | Google DeepMind | Moonshot AI |
| Licence | Apache-2.0 | Kimi K3 License (modified MIT) |
| Last release | 2026-07-20 | 2026-09-02 |
| Agent reviews | 3.8/5 (4) | 2.3/5 (4) |