Model Comparison

MiniMax M1 80K vs Qwen3.5-0.8BWhich is better in 2026?

MiniMax M1 80K significantly outperforms across most benchmarks.

Verdict: MiniMax M1 80K vs Qwen3.5-0.8B — which is better?

MiniMax M1 80K (by MiniMax) and Qwen3.5-0.8B (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

MiniMax M1 80K outperforms in 4 benchmarks (GPQA, LongBench v2, MMLU-Pro, Multi-Challenge), while Qwen3.5-0.8B is better at 0 benchmarks. MiniMax M1 80K significantly outperforms across most benchmarks.

Choose MiniMax M1 80K if…

  • you want the strongest raw capability — it leads on 4 of 4 shared benchmarks

Choose Qwen3.5-0.8B if…

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

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

MiniMax M1 80K outperforms in 4 benchmarks (GPQA, LongBench v2, MMLU-Pro, Multi-Challenge), while Qwen3.5-0.8B is better at 0 benchmarks.

MiniMax M1 80K significantly outperforms across most benchmarks.

Mon Jul 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

455.2B diff

MiniMax M1 80K has 455.2B more parameters than Qwen3.5-0.8B, making it 56900.0% larger.

MiniMax
MiniMax M1 80K
456.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.5-0.8B
800,000,000parameters
456.0B
MiniMax M1 80K
0.8B
Qwen3.5-0.8B

Context Window

Maximum input and output token capacity

Only MiniMax M1 80K specifies input context (1,000,000 tokens). Only MiniMax M1 80K specifies output context (40,000 tokens).

MiniMax
MiniMax M1 80K
Input1,000,000 tokens
Output40,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.5-0.8B
Input- tokens
Output- tokens
Mon Jul 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.5-0.8B supports multimodal inputs, whereas MiniMax M1 80K does not.

Qwen3.5-0.8B can handle both text and other forms of data like images, making it suitable for multimodal applications.

MiniMax M1 80K

Text
Images
Audio
Video

Qwen3.5-0.8B

Text
Images
Audio
Video

License

Usage and distribution terms

MiniMax M1 80K is licensed under MIT, while Qwen3.5-0.8B uses Apache 2.0.

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

MiniMax M1 80K

MIT

Open weights

Qwen3.5-0.8B

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiniMax M1 80K was released on 2025-06-16, while Qwen3.5-0.8B was released on 2026-03-02.

Qwen3.5-0.8B is 9 months newer than MiniMax M1 80K.

MiniMax M1 80K

Jun 16, 2025

1.1 years ago

Qwen3.5-0.8B

Mar 2, 2026

4 months ago

8mo 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

Key Takeaways

Larger context window (1,000,000 tokens)
Higher GPQA score (70.0% vs 11.9%)
Higher LongBench v2 score (61.5% vs 26.1%)
Higher MMLU-Pro score (81.1% vs 42.3%)
Higher Multi-Challenge score (44.7% vs 18.9%)
Alibaba Cloud / Qwen Team

Qwen3.5-0.8B

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against MiniMax M1 80K and Qwen3.5-0.8B side-by-side, then vote on the output you prefer.

MiniMax M1 80K
✓ Preferred
Qwen3.5-0.8B
Open in Playground
AI Model Comparison Table
Feature
MiniMax
MiniMax M1 80K
Alibaba Cloud / Qwen Team
Qwen3.5-0.8B

FAQ

Common questions about MiniMax M1 80K vs Qwen3.5-0.8B.

Which is better, MiniMax M1 80K or Qwen3.5-0.8B?

MiniMax M1 80K significantly outperforms across most benchmarks. MiniMax M1 80K is made by MiniMax and Qwen3.5-0.8B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does MiniMax M1 80K compare to Qwen3.5-0.8B in benchmarks?

MiniMax M1 80K scores MATH-500: 96.8%, ZebraLogic: 86.8%, AIME 2024: 86.0%, MMLU-Pro: 81.1%, AIME 2025: 76.9%. Qwen3.5-0.8B scores MMLU-Redux: 59.5%, Global PIQA: 59.4%, C-Eval: 50.5%, MMMLU: 44.3%, IFEval: 44.0%.

What are the context window sizes for MiniMax M1 80K and Qwen3.5-0.8B?

MiniMax M1 80K supports 1.0M tokens and Qwen3.5-0.8B 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 M1 80K and Qwen3.5-0.8B?

Key differences include multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes MiniMax M1 80K and Qwen3.5-0.8B?

MiniMax M1 80K is developed by MiniMax and Qwen3.5-0.8B is developed by Alibaba Cloud / Qwen Team.