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MiniMax M3 vs Qwen3.8-Flash-Next

Qwen3.8-Flash-Next leads the LLM Stats Score 50.5 to 41.9.

MiniMax · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3.8-Flash-Next leads the overall LLM Stats Score 50.5 to 41.9, ranking #14 overall.

In the 2 individual benchmarks reported for both models, Qwen3.8-Flash-Next wins 2; this is a narrower head-to-head signal than the composite indexes.

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

Choose MiniMax M3

  • you want predictable pricing at $0.30/M input and $1.20/M output

Choose Qwen3.8-Flash-Next

  • overall performance matters — it scores 50.5 and ranks #14 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Core performance indexes
41.9
#42
50.5
#14
41.8
#39
50.6
#12
34.4
#30
38.4
#19
27.8
#38
37.2
#12
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
512,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
MiniMax M3
Qwen3.8-Flash-Next
25.1#101
33.3#50
25.6#37
34.6#11
22.8#42
32.3#8
28.2#27
35.3#8
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

35 reported for MiniMax M3 · 22 for Qwen3.8-Flash-Next

2 shared

MiniMax M3 outperforms in 0 benchmarks, while Qwen3.8-Flash-Next is better at 2 benchmarks (NL2Repo, SWE-Bench Pro).

Qwen3.8-Flash-Next significantly outperforms across most benchmarks.

Fri Aug 28 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

303.0B diff

MiniMax M3 has 303.0B more parameters than Qwen3.8-Flash-Next, making it 242.4% larger.

MiniMax
MiniMax M3
428.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
125.0Bparameters
428.0B
MiniMax M3
125.0B
Qwen3.8-Flash-Next

Context Window

Maximum input and output token capacity

Only MiniMax M3 specifies input context (512,000 tokens). Only MiniMax M3 specifies output context (131,072 tokens).

MiniMax
MiniMax M3
Input512,000 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
Input- tokens
Output- tokens
Fri Aug 28 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both MiniMax M3 and Qwen3.8-Flash-Next support multimodal inputs.

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

MiniMax M3

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

MiniMax M3 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.

MiniMax M3

MIT

Open weights

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

MiniMax M3 was released on 2026-06-01, while Qwen3.8-Flash-Next was released on 2026-08-26.

Qwen3.8-Flash-Next is 3 months newer than MiniMax M3.

MiniMax M3

Jun 1, 2026

2 months ago

Qwen3.8-Flash-Next

Aug 26, 2026

2 days ago

2mo newer

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 MiniMax M3 and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.

MiniMax M3
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about MiniMax M3 vs Qwen3.8-Flash-Next.

Which is better, MiniMax M3 or Qwen3.8-Flash-Next?

Qwen3.8-Flash-Next leads the LLM Stats Score 50.5 to 41.9. MiniMax M3 is made by MiniMax 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 MiniMax M3 compare to Qwen3.8-Flash-Next in benchmarks?

MiniMax M3 scores OmniDocBench 1.5: 91.6%, SpreadSheetBench-v1: 89.3%, USAMO 2026: 85.7%, Video-MME: 85.4%, VideoMMMU: 84.6%. 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 MiniMax M3 and Qwen3.8-Flash-Next?

MiniMax M3 supports 512K 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 MiniMax M3 and Qwen3.8-Flash-Next?

Key differences include LLM Stats Score (41.9 vs 50.5), licensing (MIT vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes MiniMax M3 and Qwen3.8-Flash-Next?

MiniMax M3 is developed by MiniMax and Qwen3.8-Flash-Next is developed by Alibaba Cloud / Qwen Team.