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MiMo-V2.6-Pro vs Qwen3.5-4B

MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to 19.5.

Xiaomi · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

MiMo-V2.6-Pro leads the overall LLM Stats Score 49.8 to 19.5, ranking #19 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 49.8 and ranks #19 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Qwen3.5-4B

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

At a glance

The differences that matter most.

MiMo-V2.6-Pro
Xiaomi
Qwen3.5-4B
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
49.8
#19
19.5
#206
Reasoning
45.2
#30
19.6
#199
Agents
37.5
#13
3.6
#163
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.43 / M
— / M
Output price
$0.87 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
MiMo-V2.6-Pro
Qwen3.5-4B
Tool use
28.0#21
5.3#154
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for MiMo-V2.6-Pro · 25 for Qwen3.5-4B

No common benchmarks found

MiMo-V2.6-Pro and Qwen3.5-4Bdon'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

1016.0B diff

MiMo-V2.6-Pro has 1016.0B more parameters than Qwen3.5-4B, making it 25400.0% larger.

Xiaomi
MiMo-V2.6-Pro
1.0Tparameters
Alibaba Cloud / Qwen Team
Qwen3.5-4B
4.0Bparameters
1020.0B
MiMo-V2.6-Pro
4.0B
Qwen3.5-4B

Context Window

Maximum input and output token capacity

Only MiMo-V2.6-Pro specifies input context (1,048,576 tokens).

Xiaomi
MiMo-V2.6-Pro
Input1,048,576 tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.5-4B
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both MiMo-V2.6-Pro and Qwen3.5-4B 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

Qwen3.5-4B

Text
Images
Audio
Video

License

Usage and distribution terms

MiMo-V2.6-Pro is licensed under MIT, while Qwen3.5-4B 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

Qwen3.5-4B

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiMo-V2.6-Pro was released on 2026-09-22, while Qwen3.5-4B was released on 2026-03-02.

MiMo-V2.6-Pro is 7 months newer than Qwen3.5-4B.

MiMo-V2.6-Pro

Sep 22, 2026

0 days ago

6mo newer
Qwen3.5-4B

Mar 2, 2026

6 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 Qwen3.5-4B side-by-side, then vote on the output you prefer.

MiMo-V2.6-Pro
✓ Preferred
Qwen3.5-4B
Open in Playground

FAQ

Common questions about MiMo-V2.6-Pro vs Qwen3.5-4B.

Which is better, MiMo-V2.6-Pro or Qwen3.5-4B?

MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to 19.5. MiMo-V2.6-Pro is made by Xiaomi and Qwen3.5-4B 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 Qwen3.5-4B 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%. Qwen3.5-4B scores IFEval: 89.8%, MMLU-Redux: 88.8%, C-Eval: 85.1%, t2-bench: 79.9%, MMLU-Pro: 79.1%.

What are the context window sizes for MiMo-V2.6-Pro and Qwen3.5-4B?

MiMo-V2.6-Pro supports 1.0M tokens and Qwen3.5-4B 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 MiMo-V2.6-Pro and Qwen3.5-4B?

Key differences include LLM Stats Score (49.8 vs 19.5), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes MiMo-V2.6-Pro and Qwen3.5-4B?

MiMo-V2.6-Pro is developed by Xiaomi and Qwen3.5-4B is developed by Alibaba Cloud / Qwen Team.

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