Model Comparison

MiniMax M2.5 vs Qwen2.5 7B Instruct

Comparing MiniMax M2.5 and Qwen2.5 7B Instruct across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

MiniMax M2.5 and Qwen2.5 7B Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen2.5 7B Instruct costs less

For input processing, MiniMax M2.5 ($0.30/1M tokens) costs the same as Qwen2.5 7B Instruct ($0.30/1M tokens).

For output processing, MiniMax M2.5 ($1.20/1M tokens) is 4.0x more expensive than Qwen2.5 7B Instruct ($0.30/1M tokens).

In conclusion, MiniMax M2.5 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 M2.5
Input tokens$0.30
Output tokens$1.20
Best providerMiniMax
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

222.4B diff

MiniMax M2.5 has 222.4B more parameters than Qwen2.5 7B Instruct, making it 2922.3% larger.

MiniMax
MiniMax M2.5
230.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
7.6Bparameters
230.0B
MiniMax M2.5
7.6B
Qwen2.5 7B Instruct

Context Window

Maximum input and output token capacity

MiniMax M2.5 accepts 1,000,000 input tokens compared to Qwen2.5 7B Instruct's 131,072 tokens. MiniMax M2.5 can generate longer responses up to 1,000,000 tokens, while Qwen2.5 7B Instruct is limited to 8,192 tokens.

MiniMax
MiniMax M2.5
Input1,000,000 tokens
Output1,000,000 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 M2.5 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 M2.5

MIT

Open weights

Qwen2.5 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiniMax M2.5 was released on 2026-02-12, while Qwen2.5 7B Instruct was released on 2024-09-19.

MiniMax M2.5 is 17 months newer than Qwen2.5 7B Instruct.

MiniMax M2.5

Feb 12, 2026

2 months ago

1.4yr 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 M2.5 is available from MiniMax. Qwen2.5 7B Instruct is available from Together.

MiniMax M2.5

minimax logo
MiniMax
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

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

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (1,000,000 tokens)
Alibaba Cloud / Qwen Team

Qwen2.5 7B Instruct

View details

Alibaba Cloud / Qwen Team

Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
MiniMax
MiniMax M2.5
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct

FAQ

Common questions about MiniMax M2.5 vs Qwen2.5 7B Instruct

MiniMax M2.5 (MiniMax) and Qwen2.5 7B Instruct (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
MiniMax M2.5 scores SWE-Bench Verified: 80.2%, BFCL_v3_MultiTurn: 76.8%, BrowseComp: 76.3%, MEWC: 74.4%, GDPval-MM: 59.0%. Qwen2.5 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.
Both models cost $0.30 per million input tokens.
MiniMax M2.5 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), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
MiniMax M2.5 is developed by MiniMax and Qwen2.5 7B Instruct is developed by Alibaba Cloud / Qwen Team.