MiMo-V2.6-Pro vs Mistral Large 4: Specs & Benchmark Comparison

MiMo-V2.6-Pro is developed by Xiaomi, while Mistral Large 4 comes from Mistral AI. MiMo-V2.6-Pro was released in September 2026, and Mistral Large 4 followed a month later in October 2026. The two are similar in size, at about 1.0 trillion and 1.1 trillion parameters respectively.

The two models share 3 published benchmarks. MiMo-V2.6-Pro leads on 3 of them. The widest gaps are on CyberGym, where MiMo-V2.6-Pro scores 94.0% against 82.0%; DeepSWE 1.1, where MiMo-V2.6-Pro scores 71.9% against 61.7%. Averaged across everything we track, MiMo-V2.6-Pro sits at 59.7% and Mistral Large 4 at 60.4%.

MiMo-V2.6-Pro is the cheaper API at $0.43 per million input tokens and $0.87 per million output tokens, about 56% below Mistral Large 4 at $0.68 and $2.09. Both accept a context window of about 1M tokens. MiMo-V2.6-Pro accepts text, images, audio, and video as input, while Mistral Large 4 accepts text and images.

CharacteristicMiMo-V2.6-ProMistral Large 4
CompanyXiaomiMistral AI
Release DateSeptember 22, 2026October 6, 2026
Parameters1.0T1.1T
MultimodalYesYes
Context (input)1.0M1.0M
Input Price / 1M$0.43$0.68
Output Price / 1M$0.87$2.09
Average Score59.7%60.4%
Benchmarks
CyberGym94.0%82.0%
DeepSWE 1.171.9%61.7%
Terminal-Bench 4.034.9%28.3%

Visual Benchmark Comparison

MiMo-V2.6-Pro
Mistral Large 4
CyberGym0.9 vs 0.8
0.9
0.8
DeepSWE 1.10.7 vs 0.6
0.7
0.6
Terminal-Bench 4.00.3 vs 0.3
0.3
0.3

Verdict

Both models show equal results — the choice depends on your specific use case.

Overall Performance

Both models show comparable average scores: MiMo-V2.6-Pro — 0.6, Mistral Large 4 — 0.6.

API Cost

MiMo-V2.6-Pro is 2.1x cheaper: input $0.43/1M vs $0.68/1M tokens.

Context Window

Same context size: 1M tokens.

Recency

Mistral Large 4 is newer: released 10/6/2026 vs 9/22/2026.

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Frequently Asked Questions

Which is better for coding — MiMo-V2.6-Pro or Mistral Large 4?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — MiMo-V2.6-Pro or Mistral Large 4?
MiMo-V2.6-Pro is cheaper for input: $0.43 per 1M tokens vs $0.68.
Which has a larger context window — MiMo-V2.6-Pro or Mistral Large 4?
MiMo-V2.6-Pro supports a larger context: 1,048,576 tokens vs 1,048,576.

The MiMo-V2.6-Pro and Mistral Large 4 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the MiMo-V2.6-Pro or Mistral Large 4 page. See also the complete list of AI model comparisons.