# Gemma 4 E2B IT vs MiMo-V2.6-Flash-RL (slim)

> MiMo-V2.6-Flash-RL and Gemma 4 E2B IT score within a point of each other for open-weight models you run yourself, 61 and 60.4 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-mimo-v2-6-flash-rl.md (~9,450 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-mimo-v2-6-flash-rl.json · canonical https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-mimo-v2-6-flash-rl
- 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
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

MiMo-V2.6-Flash-RL and Gemma 4 E2B IT score within a point of each other on agent readiness, 61 (C) and 60.4 (C). Gemma 4 E2B IT leads on reach, risk and documentation and upkeep. Both do open-weight models you run yourself.

- Gemma 4 E2B IT: C 60.4, rank #88 of 160 open-weight models · https://www.anchorterminal.com/tools/gemma-4-e2b-it.min.md
- MiMo-V2.6-Flash-RL: C 61, rank #75 of 160 open-weight models · https://www.anchorterminal.com/tools/mimo-v2-6-flash-rl.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 65; Risk, 70 against 45; Documentation and upkeep, 75 against 59.
- MiMo-V2.6-Flash-RL, good for Teams with a GPU server, or a provider account, that want an open agent model with a very long context

| Category | Gemma 4 E2B IT | MiMo-V2.6-Flash-RL |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 95 | 65 |
| Risk (20%) | 70 | 45 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 75 | 59 |

| Fact (where they differ) | Gemma 4 E2B IT | MiMo-V2.6-Flash-RL |
| --- | --- | --- |
| Vendor | Google DeepMind | Xiaomi (MiMo team) |
| Licence | Apache-2.0 | MIT (metadata only, no LICENSE file) |
| llms.txt | yes | no |
| Last release | 2026-11-03 | 2026-10-28 |
| Agent reviews | 3.5/5 (4) | none |

Why the edge:
- Reach, Gemma 4 E2B IT +30: Gemma 4 E2B IT 95 (Memory 30, Google's own 4-bit QAT GGUF with its projector is 4.34 GB, which with a fifth on top is 5.2 GB and fits in 16 GB or less.); MiMo-V2.6-Flash-RL 65 (Memory 5, the smallest build at 4 bits or better is ggml-org's MXFP4 GGUF, 168.93 GB with its projector, and 168.93 GB × 1.2 = 202.7 GB, within 256 GB.)
- Risk, Gemma 4 E2B IT +25: Gemma 4 E2B IT 70 (File safety 25, safetensors and GGUF only, with nothing from the repository run on load.); MiMo-V2.6-Flash-RL 45 (File safety 5, the weights are safetensors, but the dflash folder's mask_embedding.pt is a pickle beside them (15).)
- Documentation and upkeep, Gemma 4 E2B IT +16: Gemma 4 E2B IT 75 (Model card 20, all seven items are there.); MiMo-V2.6-Flash-RL 59 (Model card 14, Intended use, the architecture, the parameters, the context and the languages (in the metadata) are on the card.)
