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MiMo-V2.6-Pro vs Mistral Large 3 (675B Instruct 2512)

MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to 9.0. MiMo-V2.6-Pro is 1.4x cheaper per token.

Xiaomi · Mistral AI · Updated for 2026

Which is better?

MiMo-V2.6-Pro leads the overall LLM Stats Score 49.8 to 9.0, ranking #19 overall.

On price, MiMo-V2.6-Pro is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

MiMo-V2.6-Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose MiMo-V2.6-Pro

  • overall performance matters — it scores 49.8 and ranks #19 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • cost matters — it's about 1.4x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Sep 2026

Choose Mistral Large 3 (675B Instruct 2512)

  • you want predictable pricing at $0.50/M input and $1.50/M output

At a glance

The differences that matter most.

MiMo-V2.6-Pro
Xiaomi
Mistral Large 3 (675B Instruct 2512)
Mistral AI
Core performance indexes
LLM Stats Score
49.8
#19
9.0
#274
Reasoning
45.2
#30
9.2
#268
Coding
41.8
#9
1.5
#233
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.43 / M
$0.50 / M
Output price
$0.87 / M
$1.50 / M
Context window
1,048,576
262,100

Individual benchmarks

18 reported for MiMo-V2.6-Pro · 5 for Mistral Large 3 (675B Instruct 2512)

No common benchmarks found

MiMo-V2.6-Pro and Mistral Large 3 (675B Instruct 2512)don'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

Pricing Analysis

Price comparison per million tokens

MiMo-V2.6-Pro costs less

For input processing, MiMo-V2.6-Pro ($0.43/1M tokens) is 1.1x cheaper than Mistral Large 3 (675B Instruct 2512) ($0.50/1M tokens).

For output processing, MiMo-V2.6-Pro ($0.87/1M tokens) is 1.7x cheaper than Mistral Large 3 (675B Instruct 2512) ($1.50/1M tokens).

In conclusion, Mistral Large 3 (675B Instruct 2512) is more expensive than MiMo-V2.6-Pro.*

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

Lowest available price from all providers
Tue Sep 22 2026 • llm-stats.com
Xiaomi
MiMo-V2.6-Pro
Input tokens$0.43
Output tokens$0.87
Best providerXiaomi
Mistral AI
Mistral Large 3 (675B Instruct 2512)
Input tokens$0.50
Output tokens$1.50
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

345.0B diff

MiMo-V2.6-Pro has 345.0B more parameters than Mistral Large 3 (675B Instruct 2512), making it 51.1% larger.

Xiaomi
MiMo-V2.6-Pro
1.0Tparameters
Mistral AI
Mistral Large 3 (675B Instruct 2512)
675.0Bparameters
1020.0B
MiMo-V2.6-Pro
675.0B
Mistral Large 3 (675B Instruct 2512)

Context Window

Maximum input and output token capacity

MiMo-V2.6-Pro accepts 1,048,576 input tokens compared to Mistral Large 3 (675B Instruct 2512)'s 262,100 tokens. Only Mistral Large 3 (675B Instruct 2512) specifies output context (262,100 tokens).

Xiaomi
MiMo-V2.6-Pro
Input1,048,576 tokens
Output- tokens
Mistral AI
Mistral Large 3 (675B Instruct 2512)
Input262,100 tokens
Output262,100 tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both MiMo-V2.6-Pro and Mistral Large 3 (675B Instruct 2512) 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 Large 3 (675B Instruct 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

MiMo-V2.6-Pro is licensed under MIT, while Mistral Large 3 (675B Instruct 2512) 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 Large 3 (675B Instruct 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiMo-V2.6-Pro was released on 2026-09-22, while Mistral Large 3 (675B Instruct 2512) was released on 2025-12-04.

MiMo-V2.6-Pro is 10 months newer than Mistral Large 3 (675B Instruct 2512).

MiMo-V2.6-Pro

Sep 22, 2026

0 days ago

9mo newer
Mistral Large 3 (675B Instruct 2512)

Dec 4, 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-V2.6-Pro is available from Xiaomi. Mistral Large 3 (675B Instruct 2512) is available from Mistral AI.

MiMo-V2.6-Pro

xiaomi logo
Xiaomi
Input Price:Input: $0.43/1MOutput Price:Output: $0.87/1M

Mistral Large 3 (675B Instruct 2512)

mistral logo
Mistral
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M
* Prices shown are per million tokens

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 Large 3 (675B Instruct 2512) side-by-side, then vote on the output you prefer.

MiMo-V2.6-Pro
✓ Preferred
Mistral Large 3 (675B Instruct 2512)
Open in Playground

FAQ

Common questions about MiMo-V2.6-Pro vs Mistral Large 3 (675B Instruct 2512).

Which is better, MiMo-V2.6-Pro or Mistral Large 3 (675B Instruct 2512)?

MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to 9.0. MiMo-V2.6-Pro is made by Xiaomi and Mistral Large 3 (675B Instruct 2512) 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 Large 3 (675B Instruct 2512) in benchmarks?

MiMo-V2.6-Pro scores CyberGym: 94.0%, Terminal-Bench 2.1: 89.9%, OSWorld-Verified: 82.0%, MiMo Cyber Bench: 81.7%, Toolathlon-Verified: 76.9%. Mistral Large 3 (675B Instruct 2512) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%.

Is MiMo-V2.6-Pro cheaper than Mistral Large 3 (675B Instruct 2512)?

MiMo-V2.6-Pro is 1.1x cheaper for input tokens. MiMo-V2.6-Pro costs $0.43/M input and $0.87/M output via xiaomi. Mistral Large 3 (675B Instruct 2512) costs $0.50/M input and $1.50/M output via mistral.

What are the context window sizes for MiMo-V2.6-Pro and Mistral Large 3 (675B Instruct 2512)?

MiMo-V2.6-Pro supports 1.0M tokens and Mistral Large 3 (675B Instruct 2512) supports 262K 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 Large 3 (675B Instruct 2512)?

Key differences include LLM Stats Score (49.8 vs 9.0), context window (1.0M vs 262K), input pricing ($0.43 vs $0.50/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes MiMo-V2.6-Pro and Mistral Large 3 (675B Instruct 2512)?

MiMo-V2.6-Pro is developed by Xiaomi and Mistral Large 3 (675B Instruct 2512) is developed by Mistral AI.

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