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MiniMax M1 40K vs Qwen2.5 7B Instruct

MiniMax M1 40K leads the LLM Stats Score 20.5 to 2.5.

MiniMax · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

MiniMax M1 40K leads the overall LLM Stats Score 20.5 to 2.5, ranking #197 overall.

In the 3 individual benchmarks reported for both models, MiniMax M1 40K wins 3; 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 M1 40K

  • overall performance matters — it scores 20.5 and ranks #197 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Jun 2025

Choose Qwen2.5 7B Instruct

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

At a glance

The differences that matter most.

Core performance indexes
20.5
#197
2.5
#316
20.7
#186
2.6
#309
8.1
#186
3.1
#221
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
— / M
$0.30 / M
Output price
— / M
$0.30 / M
Context window
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
MiniMax M1 40K
Qwen2.5 7B Instruct
18.1#187
8.1#260
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for MiniMax M1 40K · 14 for Qwen2.5 7B Instruct

3 shared

MiniMax M1 40K outperforms in 3 benchmarks (GPQA, LiveCodeBench, MMLU-Pro), while Qwen2.5 7B Instruct is better at 0 benchmarks.

MiniMax M1 40K significantly outperforms across most benchmarks.

Tue Sep 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

448.4B diff

MiniMax M1 40K has 448.4B more parameters than Qwen2.5 7B Instruct, making it 5892.1% larger.

MiniMax
MiniMax M1 40K
456.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
7.6Bparameters
456.0B
MiniMax M1 40K
7.6B
Qwen2.5 7B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5 7B Instruct specifies input context (131,072 tokens). Only Qwen2.5 7B Instruct specifies output context (8,192 tokens).

MiniMax
MiniMax M1 40K
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input131,072 tokens
Output8,192 tokens
Tue Sep 22 2026 • llm-stats.com

License

Usage and distribution terms

MiniMax M1 40K is licensed under MIT, while Qwen2.5 7B Instruct uses Apache 2.0.

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

MiniMax M1 40K

MIT

Open weights

Qwen2.5 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiniMax M1 40K was released on 2025-06-16, while Qwen2.5 7B Instruct was released on 2024-09-19.

MiniMax M1 40K is 9 months newer than Qwen2.5 7B Instruct.

MiniMax M1 40K

Jun 16, 2025

1.3 years ago

9mo newer
Qwen2.5 7B Instruct

Sep 19, 2024

2.0 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

Judge for yourself.

Run your own prompts against MiniMax M1 40K and Qwen2.5 7B Instruct side-by-side, then vote on the output you prefer.

MiniMax M1 40K
✓ Preferred
Qwen2.5 7B Instruct
Open in Playground

FAQ

Common questions about MiniMax M1 40K vs Qwen2.5 7B Instruct.

Which is better, MiniMax M1 40K or Qwen2.5 7B Instruct?

MiniMax M1 40K leads the LLM Stats Score 20.5 to 2.5. MiniMax M1 40K is made by MiniMax and Qwen2.5 7B Instruct 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 M1 40K compare to Qwen2.5 7B Instruct in benchmarks?

MiniMax M1 40K scores MATH-500: 96.0%, AIME 2024: 83.3%, MMLU-Pro: 80.6%, ZebraLogic: 80.1%, OpenAI-MRCR: 2 needle 128k: 76.1%. Qwen2.5 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.

What are the context window sizes for MiniMax M1 40K and Qwen2.5 7B Instruct?

MiniMax M1 40K supports an unknown number of tokens and Qwen2.5 7B Instruct supports 131K 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 40K and Qwen2.5 7B Instruct?

Key differences include LLM Stats Score (20.5 vs 2.5), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes MiniMax M1 40K and Qwen2.5 7B Instruct?

MiniMax M1 40K is developed by MiniMax and Qwen2.5 7B Instruct is developed by Alibaba Cloud / Qwen Team.