Model Comparison

MiniMax M1 80K vs Qwen2.5 7B Instruct

MiniMax M1 80K significantly outperforms across most benchmarks. Qwen2.5 7B Instruct is 3.2x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

MiniMax M1 80K outperforms in 3 benchmarks (GPQA, LiveCodeBench, MMLU-Pro), while Qwen2.5 7B Instruct is better at 0 benchmarks.

MiniMax M1 80K significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen2.5 7B Instruct costs less

For input processing, MiniMax M1 80K ($0.55/1M tokens) is 1.8x more expensive than Qwen2.5 7B Instruct ($0.30/1M tokens).

For output processing, MiniMax M1 80K ($2.20/1M tokens) is 7.3x more expensive than Qwen2.5 7B Instruct ($0.30/1M tokens).

In conclusion, MiniMax M1 80K is more expensive than Qwen2.5 7B Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
MiniMax
MiniMax M1 80K
Input tokens$0.55
Output tokens$2.20
Best providerNovita
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input tokens$0.30
Output tokens$0.30
Best providerTogether
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

448.4B diff

MiniMax M1 80K has 448.4B more parameters than Qwen2.5 7B Instruct, making it 5892.1% larger.

MiniMax
MiniMax M1 80K
456.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
7.6Bparameters
456.0B
MiniMax M1 80K
7.6B
Qwen2.5 7B Instruct

Context Window

Maximum input and output token capacity

MiniMax M1 80K accepts 1,000,000 input tokens compared to Qwen2.5 7B Instruct's 131,072 tokens. MiniMax M1 80K can generate longer responses up to 40,000 tokens, while Qwen2.5 7B Instruct is limited to 8,192 tokens.

MiniMax
MiniMax M1 80K
Input1,000,000 tokens
Output40,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input131,072 tokens
Output8,192 tokens
Wed Apr 15 2026 • llm-stats.com

License

Usage and distribution terms

MiniMax M1 80K 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 80K

MIT

Open weights

Qwen2.5 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 7B Instruct was released on 2024-09-19.

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

MiniMax M1 80K

Jun 16, 2025

10 months ago

9mo newer
Qwen2.5 7B Instruct

Sep 19, 2024

1.6 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

Provider Availability

MiniMax M1 80K is available from Novita. Qwen2.5 7B Instruct is available from Together.

MiniMax M1 80K

novita logo
Novita
Input Price:Input: $0.55/1MOutput Price:Output: $2.20/1M

Qwen2.5 7B Instruct

together logo
Together
Input Price:Input: $0.30/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (1,000,000 tokens)
Higher GPQA score (70.0% vs 36.4%)
Higher LiveCodeBench score (65.0% vs 28.7%)
Higher MMLU-Pro score (81.1% vs 56.3%)
Alibaba Cloud / Qwen Team

Qwen2.5 7B Instruct

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
MiniMax
MiniMax M1 80K
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct

FAQ

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

MiniMax M1 80K significantly outperforms across most benchmarks. MiniMax M1 80K 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 benchmark scores, pricing, and capabilities above.
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 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.
Qwen2.5 7B Instruct is 1.8x cheaper for input tokens. MiniMax M1 80K costs $0.55/M input and $2.20/M output via novita. Qwen2.5 7B Instruct costs $0.30/M input and $0.30/M output via together.
MiniMax M1 80K supports 1.0M 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.
Key differences include context window (1.0M vs 131K), input pricing ($0.55 vs $0.30/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
MiniMax M1 80K is developed by MiniMax and Qwen2.5 7B Instruct is developed by Alibaba Cloud / Qwen Team.