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Devstral Small 1.1 vs MiMo-V2.6-Flash

MiMo-V2.6-Flash leads the LLM Stats Score 45.7 to 9.3.

Mistral AI · Xiaomi · Updated for 2026

Which is better?

MiMo-V2.6-Flash leads the overall LLM Stats Score 45.7 to 9.3, ranking #29 overall.

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

Choose Devstral Small 1.1

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

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.

Devstral Small 1.1
Mistral AI
MiMo-V2.6-Flash
Xiaomi
Core performance indexes
LLM Stats Score
9.3
#272
45.7
#29
Reasoning
9.2
#266
43.2
#42
Coding
0.7
#240
36.6
#22
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
— / M
Output price
$0.30 / M
— / M
Context window
128,000
—

Individual benchmarks

1 reported for Devstral Small 1.1 · 16 for MiMo-V2.6-Flash

No common benchmarks found

Devstral Small 1.1 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

285.0B diff

MiMo-V2.6-Flash has 285.0B more parameters than Devstral Small 1.1, making it 1187.5% larger.

Mistral AI
Devstral Small 1.1
24.0Bparameters
Xiaomi
MiMo-V2.6-Flash
309.0Bparameters
24.0B
Devstral Small 1.1
309.0B
MiMo-V2.6-Flash

Context Window

Maximum input and output token capacity

Only Devstral Small 1.1 specifies input context (128,000 tokens). Only Devstral Small 1.1 specifies output context (128,000 tokens).

Mistral AI
Devstral Small 1.1
Input128,000 tokens
Output128,000 tokens
Xiaomi
MiMo-V2.6-Flash
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

MiMo-V2.6-Flash supports multimodal inputs, whereas Devstral Small 1.1 does not.

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

Devstral Small 1.1

Text
Images
Audio
Video

MiMo-V2.6-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Devstral Small 1.1 is licensed under Apache 2.0, while MiMo-V2.6-Flash uses MIT.

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

Devstral Small 1.1

Apache 2.0

Open weights

MiMo-V2.6-Flash

MIT

Open weights

Release Timeline

When each model was launched

Devstral Small 1.1 was released on 2025-07-11, while MiMo-V2.6-Flash was released on 2026-09-22.

MiMo-V2.6-Flash is 15 months newer than Devstral Small 1.1.

Devstral Small 1.1

Jul 11, 2025

1.2 years ago

MiMo-V2.6-Flash

Sep 22, 2026

-1 days ago

1.2yr 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 Devstral Small 1.1 and MiMo-V2.6-Flash side-by-side, then vote on the output you prefer.

Devstral Small 1.1
✓ Preferred
MiMo-V2.6-Flash
Open in Playground

FAQ

Common questions about Devstral Small 1.1 vs MiMo-V2.6-Flash.

Which is better, Devstral Small 1.1 or MiMo-V2.6-Flash?

MiMo-V2.6-Flash leads the LLM Stats Score 45.7 to 9.3. Devstral Small 1.1 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 Devstral Small 1.1 compare to MiMo-V2.6-Flash in benchmarks?

Devstral Small 1.1 scores SWE-Bench Verified: 53.6%. 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 context window sizes for Devstral Small 1.1 and MiMo-V2.6-Flash?

Devstral Small 1.1 supports 128K tokens and MiMo-V2.6-Flash 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 Devstral Small 1.1 and MiMo-V2.6-Flash?

Key differences include LLM Stats Score (9.3 vs 45.7), multimodal support (no vs yes), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Devstral Small 1.1 and MiMo-V2.6-Flash?

Devstral Small 1.1 is developed by Mistral AI and MiMo-V2.6-Flash is developed by Xiaomi.

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