Model Comparison

MiniMax M1 80K vs Qwen2.5-Coder 7B InstructWhich is better in 2026?

MiniMax M1 80K significantly outperforms across most benchmarks.

Verdict: MiniMax M1 80K vs Qwen2.5-Coder 7B Instruct — which is better?

MiniMax M1 80K (by MiniMax) and Qwen2.5-Coder 7B Instruct (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 2 benchmarks (LiveCodeBench, MMLU-Pro), while Qwen2.5-Coder 7B Instruct 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 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Jun 2025

Choose Qwen2.5-Coder 7B Instruct if…

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

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

MiniMax M1 80K outperforms in 2 benchmarks (LiveCodeBench, MMLU-Pro), while Qwen2.5-Coder 7B Instruct is better at 0 benchmarks.

MiniMax M1 80K significantly outperforms across most benchmarks.

Mon Jul 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

449.0B diff

MiniMax M1 80K has 449.0B more parameters than Qwen2.5-Coder 7B Instruct, making it 6414.3% larger.

MiniMax
MiniMax M1 80K
456.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct
7.0Bparameters
456.0B
MiniMax M1 80K
7.0B
Qwen2.5-Coder 7B Instruct

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
Qwen2.5-Coder 7B Instruct
Input- tokens
Output- tokens
Mon Jul 27 2026 • llm-stats.com

License

Usage and distribution terms

MiniMax M1 80K is licensed under MIT, while Qwen2.5-Coder 7B Instruct 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

Qwen2.5-Coder 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiniMax M1 80K was released on 2025-06-16, while Qwen2.5-Coder 7B Instruct was released on 2024-09-19.

MiniMax M1 80K is 9 months newer than Qwen2.5-Coder 7B Instruct.

MiniMax M1 80K

Jun 16, 2025

1.1 years ago

9mo newer
Qwen2.5-Coder 7B Instruct

Sep 19, 2024

1.9 years 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

Key Takeaways

Larger context window (1,000,000 tokens)
Higher LiveCodeBench score (65.0% vs 18.2%)
Higher MMLU-Pro score (81.1% vs 40.1%)
Alibaba Cloud / Qwen Team

Qwen2.5-Coder 7B Instruct

View details

Alibaba Cloud / Qwen Team

No standout differentiators in the data we have for this pair.

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against MiniMax M1 80K and Qwen2.5-Coder 7B Instruct side-by-side, then vote on the output you prefer.

MiniMax M1 80K
✓ Preferred
Qwen2.5-Coder 7B Instruct
Open in Playground
AI Model Comparison Table
Feature
MiniMax
MiniMax M1 80K
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct

FAQ

Common questions about MiniMax M1 80K vs Qwen2.5-Coder 7B Instruct.

Which is better, MiniMax M1 80K or Qwen2.5-Coder 7B Instruct?

MiniMax M1 80K significantly outperforms across most benchmarks. MiniMax M1 80K is made by MiniMax and Qwen2.5-Coder 7B Instruct 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 Qwen2.5-Coder 7B Instruct 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%. Qwen2.5-Coder 7B Instruct scores HumanEval: 88.4%, GSM8k: 83.9%, MBPP: 83.5%, HellaSwag: 76.8%, Winogrande: 72.9%.

What are the context window sizes for MiniMax M1 80K and Qwen2.5-Coder 7B Instruct?

MiniMax M1 80K supports 1.0M tokens and Qwen2.5-Coder 7B Instruct 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 Qwen2.5-Coder 7B Instruct?

Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes MiniMax M1 80K and Qwen2.5-Coder 7B Instruct?

MiniMax M1 80K is developed by MiniMax and Qwen2.5-Coder 7B Instruct is developed by Alibaba Cloud / Qwen Team.