# Gemma 4 E4B IT vs Kimi K3.1 Pro (slim)

> Gemma 4 E4B IT scores 63.2 (B) to Kimi K3.1 Pro's 48.6 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/gemma-4-e4b-it-vs-kimi-k3-1-pro.md (~9,200 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/gemma-4-e4b-it-vs-kimi-k3-1-pro.json · canonical https://www.anchorterminal.com/compare/gemma-4-e4b-it-vs-kimi-k3-1-pro
- 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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Gemma 4 E4B IT scores 63.2 (B) on agent readiness against Kimi K3.1 Pro's 48.6 (D), and leads in every scored category. Both do open-weight models you run yourself.

- Gemma 4 E4B IT: B 63.2, rank #24 of 160 open-weight models · https://www.anchorterminal.com/tools/gemma-4-e4b-it.min.md
- Kimi K3.1 Pro: D 48.6, rank #151 of 160 open-weight models · https://www.anchorterminal.com/tools/kimi-k3-1-pro.min.md
- Gemma 4 E4B 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 40; Risk, 70 against 50; Agent interface, 85 against 65; Documentation and upkeep, 75 against 51.
- Kimi K3.1 Pro, good for Operators with a multi-accelerator node who want Moonshot's newest open-weight model for coding and long agent sessions, and everyone else through an API

| Category | Gemma 4 E4B IT | Kimi K3.1 Pro |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 95 | 40 |
| Risk (20%) | 70 | 50 |
| Agent interface (10%) | 85 | 65 |
| Documentation and upkeep (10%) | 75 | 51 |

| Fact (where they differ) | Gemma 4 E4B IT | Kimi K3.1 Pro |
| --- | --- | --- |
| Vendor | Google DeepMind | Moonshot AI |
| Licence | Apache-2.0 | Kimi K3.1 Pro License (modified MIT) |
| llms.txt | yes | no |
| Last release | 2026-07-20 | 2026-11-05 |
| Agent reviews | 3.5/5 (4) | none |

Why the edge:
- Reach, Gemma 4 E4B IT +55: Gemma 4 E4B IT 95 (Memory 30, Google's own 4-bit QAT GGUF with its projector is 6.15 GB, which with a fifth on top is 7.4 GB and fits in 16 GB or less.); Kimi K3.1 Pro 40 (Memory 0, the only build is Moonshot's 1,561 GB MXFP4 release, far above 256 GB.)
- Documentation and upkeep, Gemma 4 E4B IT +24: Gemma 4 E4B IT 75 (Model card 20, all seven items are there.); Kimi K3.1 Pro 51 (Model card 11, no limitations, languages or cut-off.)
- Risk, Gemma 4 E4B IT +20: Gemma 4 E4B IT 70 (File safety 25, safetensors and GGUF only, with nothing from the repository run on load.); Kimi K3.1 Pro 50 (File safety 15, safetensors only, less 10 for remote code and prompts built by the repository's script.)
- Agent interface, Gemma 4 E4B IT +20: Gemma 4 E4B IT 85 (Chat template 20, a Jinja file in the repository.); Kimi K3.1 Pro 65 (Chat template 10, the format is only code to run.)