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MiMo-V2.6-Pro vs Qwen3.5-397B-A17B

MiMo-V2.6-Pro leads the LLM Stats Score 40.6 to 38.7.

Xiaomi · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

MiMo-V2.6-Pro leads the overall LLM Stats Score 40.6 to 38.7, 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
  • your work emphasizes coding and agents — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Qwen3.5-397B-A17B

  • you want predictable pricing at $0.45/M input and $3.00/M output

At a glance

The differences that matter most.

Core performance indexes
40.6
#57
38.7
#66
34.1
#35
23.0
#80
29.9
#38
20.1
#65
Cost, coverage & limits
Benchmark wins
Input price
— / M
$0.45 / M
Output price
— / M
$3.00 / M
Context window
262,144

Individual benchmarks

3 reported for MiMo-V2.6-Pro · 38 for Qwen3.5-397B-A17B

No common benchmarks found

MiMo-V2.6-Pro and Qwen3.5-397B-A17Bdon'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

623.0B diff

MiMo-V2.6-Pro has 623.0B more parameters than Qwen3.5-397B-A17B, making it 156.9% larger.

Xiaomi
MiMo-V2.6-Pro
1.0Tparameters
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
397.0Bparameters
1020.0B
MiMo-V2.6-Pro
397.0B
Qwen3.5-397B-A17B

Context Window

Maximum input and output token capacity

Only Qwen3.5-397B-A17B specifies input context (262,144 tokens). Only Qwen3.5-397B-A17B specifies output context (262,144 tokens).

Xiaomi
MiMo-V2.6-Pro
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input262,144 tokens
Output262,144 tokens
Mon Sep 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both MiMo-V2.6-Pro and Qwen3.5-397B-A17B 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

Qwen3.5-397B-A17B

Text
Images
Audio
Video

License

Usage and distribution terms

MiMo-V2.6-Pro is licensed under MIT, while Qwen3.5-397B-A17B 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

Qwen3.5-397B-A17B

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiMo-V2.6-Pro was released on 2026-09-22, while Qwen3.5-397B-A17B was released on 2026-02-16.

MiMo-V2.6-Pro is 7 months newer than Qwen3.5-397B-A17B.

MiMo-V2.6-Pro

Sep 22, 2026

-1 days ago

7mo newer
Qwen3.5-397B-A17B

Feb 16, 2026

7 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against MiMo-V2.6-Pro and Qwen3.5-397B-A17B side-by-side, then vote on the output you prefer.

MiMo-V2.6-Pro
✓ Preferred
Qwen3.5-397B-A17B
Open in Playground

FAQ

Common questions about MiMo-V2.6-Pro vs Qwen3.5-397B-A17B.

Which is better, MiMo-V2.6-Pro or Qwen3.5-397B-A17B?

MiMo-V2.6-Pro leads the LLM Stats Score 40.6 to 38.7. MiMo-V2.6-Pro is made by Xiaomi and Qwen3.5-397B-A17B is made by Alibaba Cloud / Qwen Team. 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 Qwen3.5-397B-A17B in benchmarks?

MiMo-V2.6-Pro scores DeepSWE 1.1: 71.9%, MiMo Coding Bench: 63.2%, Program Bench: 26.5%. Qwen3.5-397B-A17B scores MMLU-Redux: 94.9%, HMMT 2025: 94.8%, C-Eval: 93.0%, HMMT25: 92.7%, IFEval: 92.6%.

What are the context window sizes for MiMo-V2.6-Pro and Qwen3.5-397B-A17B?

MiMo-V2.6-Pro supports an unknown number of tokens and Qwen3.5-397B-A17B 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 Qwen3.5-397B-A17B?

Key differences include LLM Stats Score (40.6 vs 38.7), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes MiMo-V2.6-Pro and Qwen3.5-397B-A17B?

MiMo-V2.6-Pro is developed by Xiaomi and Qwen3.5-397B-A17B is developed by Alibaba Cloud / Qwen Team.