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MiMo-V2.6-Pro vs Mistral Small 3.1 24B Base

MiMo-V2.6-Pro leads the LLM Stats Score 40.6 to 0.3.

Xiaomi · Mistral AI · Updated for 2026

Which is better?

MiMo-V2.6-Pro leads the overall LLM Stats Score 40.6 to 0.3, ranking #57 overall.

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

Choose MiMo-V2.6-Pro

  • overall performance matters — it scores 40.6 and ranks #57 on LLM Stats
  • you want the most recent training data — it shipped Sep 2026

Choose Mistral Small 3.1 24B Base

  • you want predictable pricing at $0.10/M input and $0.30/M output

At a glance

The differences that matter most.

MiMo-V2.6-Pro
Xiaomi
Mistral Small 3.1 24B Base
Mistral AI
Core performance indexes
LLM Stats Score
40.6
#57
0.3
#328
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.10 / M
Output price
— / M
$0.30 / M
Context window
—
128,000

Individual benchmarks

3 reported for MiMo-V2.6-Pro · 5 for Mistral Small 3.1 24B Base

No common benchmarks found

MiMo-V2.6-Pro and Mistral Small 3.1 24B Basedon'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

996.0B diff

MiMo-V2.6-Pro has 996.0B more parameters than Mistral Small 3.1 24B Base, making it 4150.0% larger.

Xiaomi
MiMo-V2.6-Pro
1.0Tparameters
Mistral AI
Mistral Small 3.1 24B Base
24.0Bparameters
1020.0B
MiMo-V2.6-Pro
24.0B
Mistral Small 3.1 24B Base

Context Window

Maximum input and output token capacity

Only Mistral Small 3.1 24B Base specifies input context (128,000 tokens). Only Mistral Small 3.1 24B Base specifies output context (128,000 tokens).

Xiaomi
MiMo-V2.6-Pro
Input- tokens
Output- tokens
Mistral AI
Mistral Small 3.1 24B Base
Input128,000 tokens
Output128,000 tokens
Mon Sep 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both MiMo-V2.6-Pro and Mistral Small 3.1 24B Base support multimodal inputs.

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

MiMo-V2.6-Pro

Text
Images
Audio
Video

Mistral Small 3.1 24B Base

Text
Images
Audio
Video

License

Usage and distribution terms

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

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

MiMo-V2.6-Pro

MIT

Open weights

Mistral Small 3.1 24B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

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

MiMo-V2.6-Pro is 18 months newer than Mistral Small 3.1 24B Base.

MiMo-V2.6-Pro

Sep 22, 2026

-1 days ago

1.5yr newer
Mistral Small 3.1 24B Base

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-Pro and Mistral Small 3.1 24B Base side-by-side, then vote on the output you prefer.

MiMo-V2.6-Pro
✓ Preferred
Mistral Small 3.1 24B Base
Open in Playground

FAQ

Common questions about MiMo-V2.6-Pro vs Mistral Small 3.1 24B Base.

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

MiMo-V2.6-Pro leads the LLM Stats Score 40.6 to 0.3. MiMo-V2.6-Pro is made by Xiaomi and Mistral Small 3.1 24B Base 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-Pro compare to Mistral Small 3.1 24B Base in benchmarks?

MiMo-V2.6-Pro scores DeepSWE 1.1: 71.9%, MiMo Coding Bench: 63.2%, Program Bench: 26.5%. Mistral Small 3.1 24B Base scores MMLU: 81.0%, TriviaQA: 80.5%, MMMU: 59.3%, MMLU-Pro: 56.0%, GPQA: 37.5%.

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

MiMo-V2.6-Pro supports an unknown number of tokens and Mistral Small 3.1 24B Base supports 128K 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-Pro and Mistral Small 3.1 24B Base?

Key differences include LLM Stats Score (40.6 vs 0.3), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes MiMo-V2.6-Pro and Mistral Small 3.1 24B Base?

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

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