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MiMo-V2.6-Flash vs Qwen3.8-Flash-Next

MiMo-V2.6-Flash and Qwen3.8-Flash-Next are closely matched at 45.6 and 49.0 on the LLM Stats Score.

Xiaomi · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

MiMo-V2.6-Flash and Qwen3.8-Flash-Next are closely matched on the overall LLM Stats Score at 45.6 and 49.0.

The models split the 2 individual benchmarks reported for both models evenly.

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

Choose MiMo-V2.6-Flash

  • you want the most recent training data — it shipped Sep 2026

Choose Qwen3.8-Flash-Next

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

At a glance

The differences that matter most.

MiMo-V2.6-Flash
Xiaomi
Qwen3.8-Flash-Next
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
45.6
#29
49.0
#21
Reasoning
42.5
#45
48.9
#16
Coding
36.7
#21
35.8
#26
Agents
33.1
#26
34.9
#23
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
$0.14 / M
— / M
Output price
$0.28 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
MiMo-V2.6-Flash
Qwen3.8-Flash-Next
Tool use
24.7#29
29.1#11
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for MiMo-V2.6-Flash · 22 for Qwen3.8-Flash-Next

2 shared

MiMo-V2.6-Flash outperforms in 1 benchmarks (DeepSWE 1.1), while Qwen3.8-Flash-Next is better at 1 benchmark (Agents' Last Exam).

Both models are evenly matched across the benchmarks.

Tue Sep 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

184.0B diff

MiMo-V2.6-Flash has 184.0B more parameters than Qwen3.8-Flash-Next, making it 147.2% larger.

Xiaomi
MiMo-V2.6-Flash
309.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
125.0Bparameters
309.0B
MiMo-V2.6-Flash
125.0B
Qwen3.8-Flash-Next

Context Window

Maximum input and output token capacity

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

Xiaomi
MiMo-V2.6-Flash
Input1,048,576 tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both MiMo-V2.6-Flash and Qwen3.8-Flash-Next support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

MiMo-V2.6-Flash

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

MiMo-V2.6-Flash is licensed under MIT, while Qwen3.8-Flash-Next uses Qwen Community License 1.0.

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

MiMo-V2.6-Flash

MIT

Open weights

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

MiMo-V2.6-Flash was released on 2026-09-22, while Qwen3.8-Flash-Next was released on 2026-08-26.

MiMo-V2.6-Flash is 1 month newer than Qwen3.8-Flash-Next.

MiMo-V2.6-Flash

Sep 22, 2026

0 days ago

3w newer
Qwen3.8-Flash-Next

Aug 26, 2026

3 weeks 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-Flash and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.

MiMo-V2.6-Flash
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about MiMo-V2.6-Flash vs Qwen3.8-Flash-Next.

Which is better, MiMo-V2.6-Flash or Qwen3.8-Flash-Next?

MiMo-V2.6-Flash and Qwen3.8-Flash-Next are closely matched on the LLM Stats Score at 45.6 and 49.0. MiMo-V2.6-Flash is made by Xiaomi and Qwen3.8-Flash-Next 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-Flash compare to Qwen3.8-Flash-Next in benchmarks?

MiMo-V2.6-Flash scores CyberGym: 95.1%, Terminal-Bench 2.1: 87.6%, OSWorld-Verified: 80.8%, MiMo Cyber Bench: 77.2%, Toolathlon-Verified: 73.6%. Qwen3.8-Flash-Next scores MathVision: 95.7%, LiveCodeBench v6: 91.9%, GPQA: 91.7%, CharXiv-R: 90.6%, RealWorldQA: 88.5%.

What are the context window sizes for MiMo-V2.6-Flash and Qwen3.8-Flash-Next?

MiMo-V2.6-Flash supports 1.0M tokens and Qwen3.8-Flash-Next 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-Flash and Qwen3.8-Flash-Next?

Key differences include LLM Stats Score (45.6 vs 49.0), licensing (MIT vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes MiMo-V2.6-Flash and Qwen3.8-Flash-Next?

MiMo-V2.6-Flash is developed by Xiaomi and Qwen3.8-Flash-Next is developed by Alibaba Cloud / Qwen Team.

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