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Codestral-22B vs MiMo-V2.6-Flash

MiMo-V2.6-Flash leads the LLM Stats Score 45.7 to 0.0.

Mistral AI · Xiaomi · Updated for 2026

Which is better?

MiMo-V2.6-Flash leads the overall LLM Stats Score 45.7 to 0.0, ranking #29 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Codestral-22B

  • you are already invested in the Mistral AI ecosystem

Choose MiMo-V2.6-Flash

  • overall performance matters — it scores 45.7 and ranks #29 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Codestral-22B
Mistral AI
MiMo-V2.6-Flash
Xiaomi
Core performance indexes
LLM Stats Score
0.0
#329
45.7
#29
Reasoning
-0.1
#320
43.2
#42
Coding
2.5
#228
36.6
#22
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Individual benchmarks

7 reported for Codestral-22B · 16 for MiMo-V2.6-Flash

No common benchmarks found

Codestral-22B and MiMo-V2.6-Flashdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

286.8B diff

MiMo-V2.6-Flash has 286.8B more parameters than Codestral-22B, making it 1291.9% larger.

Mistral AI
Codestral-22B
22.2Bparameters
Xiaomi
MiMo-V2.6-Flash
309.0Bparameters
22.2B
Codestral-22B
309.0B
MiMo-V2.6-Flash

Input capabilities

Documented input modalities across available providers

MiMo-V2.6-Flash supports multimodal inputs, whereas Codestral-22B does not.

MiMo-V2.6-Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Codestral-22B

Text
Images
Audio
Video

MiMo-V2.6-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while MiMo-V2.6-Flash uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Codestral-22B

MNPL-0.1

Open weights

MiMo-V2.6-Flash

MIT

Open weights

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while MiMo-V2.6-Flash was released on 2026-09-22.

MiMo-V2.6-Flash is 28 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

2.3 years ago

MiMo-V2.6-Flash

Sep 22, 2026

-1 days ago

2.3yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Codestral-22B and MiMo-V2.6-Flash side-by-side, then vote on the output you prefer.

Codestral-22B
✓ Preferred
MiMo-V2.6-Flash
Open in Playground

FAQ

Common questions about Codestral-22B vs MiMo-V2.6-Flash.

Which is better, Codestral-22B or MiMo-V2.6-Flash?

MiMo-V2.6-Flash leads the LLM Stats Score 45.7 to 0.0. Codestral-22B is made by Mistral AI and MiMo-V2.6-Flash is made by Xiaomi. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Codestral-22B compare to MiMo-V2.6-Flash in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. MiMo-V2.6-Flash scores CyberGym: 95.1%, Terminal-Bench 2.1: 87.6%, OSWorld-Verified: 80.8%, MiMo Cyber Bench: 77.2%, Toolathlon-Verified: 73.6%.

What are the main differences between Codestral-22B and MiMo-V2.6-Flash?

Key differences include LLM Stats Score (0.0 vs 45.7), multimodal support (no vs yes), licensing (MNPL-0.1 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Codestral-22B and MiMo-V2.6-Flash?

Codestral-22B is developed by Mistral AI and MiMo-V2.6-Flash is developed by Xiaomi.

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