Model Comparison

MiMo-V2-Flash vs Mistral Large 3Which is better in 2026?

Comparing MiMo-V2-Flash and Mistral Large 3 across benchmarks, pricing, and capabilities.

Verdict: MiMo-V2-Flash vs Mistral Large 3 — which is better?

MiMo-V2-Flash (by Xiaomi) and Mistral Large 3 (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, MiMo-V2-Flash is roughly 18.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

MiMo-V2-Flash also accepts a larger context window (256,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose MiMo-V2-Flash if…

  • cost matters — it's about 18.3x cheaper per token
  • you process long inputs — it offers a 256,000 token context window
  • you want the most recent training data — it shipped Dec 2025

Choose Mistral Large 3 if…

  • you want predictable pricing at $2.00/M input and $5.00/M output
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

MiMo-V2-Flash and Mistral Large 3don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiMo-V2-Flash costs less

For input processing, MiMo-V2-Flash ($0.10/1M tokens) is 20.0x cheaper than Mistral Large 3 ($2.00/1M tokens).

For output processing, MiMo-V2-Flash ($0.30/1M tokens) is 16.7x cheaper than Mistral Large 3 ($5.00/1M tokens).

In conclusion, Mistral Large 3 is more expensive than MiMo-V2-Flash.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Jun 13 2026 • llm-stats.com
Xiaomi
MiMo-V2-Flash
Input tokens$0.10
Output tokens$0.30
Best providerXiaomi
Mistral AI
Mistral Large 3
Input tokens$2.00
Output tokens$5.00
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

366.0B diff

Mistral Large 3 has 366.0B more parameters than MiMo-V2-Flash, making it 118.4% larger.

Xiaomi
MiMo-V2-Flash
309.0Bparameters
Mistral AI
Mistral Large 3
675.0Bparameters
309.0B
MiMo-V2-Flash
675.0B
Mistral Large 3

Context Window

Maximum input and output token capacity

MiMo-V2-Flash accepts 256,000 input tokens compared to Mistral Large 3's 128,000 tokens. MiMo-V2-Flash can generate longer responses up to 16,384 tokens, while Mistral Large 3 is limited to 8,192 tokens.

Xiaomi
MiMo-V2-Flash
Input256,000 tokens
Output16,384 tokens
Mistral AI
Mistral Large 3
Input128,000 tokens
Output8,192 tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Large 3 supports multimodal inputs, whereas MiMo-V2-Flash does not.

Mistral Large 3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

MiMo-V2-Flash

Text
Images
Audio
Video

Mistral Large 3

Text
Images
Audio
Video

License

Usage and distribution terms

MiMo-V2-Flash is licensed under MIT, while Mistral Large 3 uses Apache 2.0.

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

MiMo-V2-Flash

MIT

Open weights

Mistral Large 3

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiMo-V2-Flash was released on 2025-12-16, while Mistral Large 3 was released on 2025-09-01.

MiMo-V2-Flash is 4 months newer than Mistral Large 3.

MiMo-V2-Flash

Dec 16, 2025

5 months ago

3mo newer
Mistral Large 3

Sep 1, 2025

9 months 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

Provider Availability

MiMo-V2-Flash is available from Xiaomi. Mistral Large 3 is available from Mistral AI.

MiMo-V2-Flash

xiaomi logo
Xiaomi
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M

Mistral Large 3

mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $5.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Xiaomi
Larger context window (256,000 tokens)
Less expensive input tokens
Less expensive output tokens
Mistral AI
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Xiaomi
MiMo-V2-Flash
Mistral AI
Mistral Large 3

FAQ

Common questions about MiMo-V2-Flash vs Mistral Large 3.

Which is better, MiMo-V2-Flash or Mistral Large 3?

MiMo-V2-Flash (Xiaomi) and Mistral Large 3 (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does MiMo-V2-Flash compare to Mistral Large 3 in benchmarks?

MiMo-V2-Flash scores AIME 2025: 94.1%, Arena-Hard v2: 86.2%, MMLU-Pro: 84.9%, HMMT 2025: 84.4%, GPQA: 83.7%. Mistral Large 3 scores MATH: 90.4%, MM-MT-Bench: 84.9%, MMLU-Redux: 82.0%, TriviaQA: 74.9%, MMMLU: 74.2%.

Is MiMo-V2-Flash cheaper than Mistral Large 3?

MiMo-V2-Flash is 20.0x cheaper for input tokens. MiMo-V2-Flash costs $0.10/M input and $0.30/M output via xiaomi. Mistral Large 3 costs $2.00/M input and $5.00/M output via mistral.

What are the context window sizes for MiMo-V2-Flash and Mistral Large 3?

MiMo-V2-Flash supports 256K tokens and Mistral Large 3 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-Flash and Mistral Large 3?

Key differences include context window (256K vs 128K), input pricing ($0.10 vs $2.00/M), multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes MiMo-V2-Flash and Mistral Large 3?

MiMo-V2-Flash is developed by Xiaomi and Mistral Large 3 is developed by Mistral AI.

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