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MiMo-V2.6-Flash vs Mistral Small 3.1 24B Instruct

MiMo-V2.6-Flash leads the LLM Stats Score 45.6 to 4.2.

Xiaomi · Mistral AI · Updated for 2026

Which is better?

MiMo-V2.6-Flash leads the overall LLM Stats Score 45.6 to 4.2, ranking #29 overall.

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

Choose MiMo-V2.6-Flash

  • overall performance matters — it scores 45.6 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

Choose Mistral Small 3.1 24B Instruct

  • you are already invested in the Mistral AI ecosystem

At a glance

The differences that matter most.

Core performance indexes
45.6
#29
4.2
#305
42.5
#45
4.2
#299
36.7
#21
9.7
#173
Cost, coverage & limits
Benchmark wins
Input price
$0.14 / M
— / M
Output price
$0.28 / M
— / M
Context window
1,048,576

Individual benchmarks

16 reported for MiMo-V2.6-Flash · 9 for Mistral Small 3.1 24B Instruct

No common benchmarks found

MiMo-V2.6-Flash and Mistral Small 3.1 24B Instructdon'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

285.0B diff

MiMo-V2.6-Flash has 285.0B more parameters than Mistral Small 3.1 24B Instruct, making it 1187.5% larger.

Xiaomi
MiMo-V2.6-Flash
309.0Bparameters
Mistral AI
Mistral Small 3.1 24B Instruct
24.0Bparameters
309.0B
MiMo-V2.6-Flash
24.0B
Mistral Small 3.1 24B Instruct

Context Window

Maximum input and output token capacity

Only MiMo-V2.6-Flash specifies input context (1,048,576 tokens).

Xiaomi
MiMo-V2.6-Flash
Input1,048,576 tokens
Output- tokens
Mistral AI
Mistral Small 3.1 24B Instruct
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both MiMo-V2.6-Flash and Mistral Small 3.1 24B Instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

MiMo-V2.6-Flash

Text
Images
Audio
Video

Mistral Small 3.1 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

MiMo-V2.6-Flash is licensed under MIT, while Mistral Small 3.1 24B Instruct uses Apache 2.0.

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

MiMo-V2.6-Flash

MIT

Open weights

Mistral Small 3.1 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiMo-V2.6-Flash was released on 2026-09-22, while Mistral Small 3.1 24B Instruct was released on 2025-03-17.

MiMo-V2.6-Flash is 18 months newer than Mistral Small 3.1 24B Instruct.

MiMo-V2.6-Flash

Sep 22, 2026

0 days ago

1.5yr newer
Mistral Small 3.1 24B Instruct

Mar 17, 2025

1.5 years ago

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 MiMo-V2.6-Flash and Mistral Small 3.1 24B Instruct side-by-side, then vote on the output you prefer.

MiMo-V2.6-Flash
✓ Preferred
Mistral Small 3.1 24B Instruct
Open in Playground

FAQ

Common questions about MiMo-V2.6-Flash vs Mistral Small 3.1 24B Instruct.

Which is better, MiMo-V2.6-Flash or Mistral Small 3.1 24B Instruct?

MiMo-V2.6-Flash leads the LLM Stats Score 45.6 to 4.2. MiMo-V2.6-Flash is made by Xiaomi and Mistral Small 3.1 24B Instruct is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does MiMo-V2.6-Flash compare to Mistral Small 3.1 24B Instruct in benchmarks?

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%. Mistral Small 3.1 24B Instruct scores HumanEval: 88.4%, MMLU: 80.6%, TriviaQA: 80.5%, MBPP: 74.7%, MATH: 69.3%.

What are the context window sizes for MiMo-V2.6-Flash and Mistral Small 3.1 24B Instruct?

MiMo-V2.6-Flash supports 1.0M tokens and Mistral Small 3.1 24B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between MiMo-V2.6-Flash and Mistral Small 3.1 24B Instruct?

Key differences include LLM Stats Score (45.6 vs 4.2), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes MiMo-V2.6-Flash and Mistral Small 3.1 24B Instruct?

MiMo-V2.6-Flash is developed by Xiaomi and Mistral Small 3.1 24B Instruct is developed by Mistral AI.