Model Comparison
MiMo-V2.5-Pro vs Qwen3.7-PlusWhich is better in 2026?
Qwen3.7-Plus shows notably better performance in the majority of benchmarks. MiMo-V2.5-Pro is 1.0x cheaper per token.
Verdict: MiMo-V2.5-Pro vs Qwen3.7-Plus — which is better?
MiMo-V2.5-Pro (by Xiaomi) and Qwen3.7-Plus (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.
MiMo-V2.5-Pro outperforms in 4 benchmarks (Claw-Eval, Finance Agent v2, GDPval-AA, SWE-Bench Verified), while Qwen3.7-Plus is better at 7 benchmarks (GPQA, Humanity's Last Exam, LiveCodeBench v6, MMLU-Pro, MMLU-Redux, SWE-Bench Pro, Terminal-Bench 2.0). Qwen3.7-Plus shows notably better performance in the majority of benchmarks.
MiMo-V2.5-Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose MiMo-V2.5-Pro if…
- you process long inputs — it offers a 1,048,576 token context window
- you need open weights you can self-host or fine-tune
Choose Qwen3.7-Plus if…
- you want the strongest raw capability — it leads on 7 of 11 shared benchmarks
- you want the most recent training data — it shipped May 2026
Performance Benchmarks
Comparative analysis across standard metrics
MiMo-V2.5-Pro outperforms in 4 benchmarks (Claw-Eval, Finance Agent v2, GDPval-AA, SWE-Bench Verified), while Qwen3.7-Plus is better at 7 benchmarks (GPQA, Humanity's Last Exam, LiveCodeBench v6, MMLU-Pro, MMLU-Redux, SWE-Bench Pro, Terminal-Bench 2.0).
Qwen3.7-Plus shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, MiMo-V2.5-Pro ($0.43/1M tokens) is 1.4x more expensive than Qwen3.7-Plus ($0.32/1M tokens).
For output processing, MiMo-V2.5-Pro ($0.87/1M tokens) is 1.5x cheaper than Qwen3.7-Plus ($1.28/1M tokens).
In conclusion, Qwen3.7-Plus is more expensive than MiMo-V2.5-Pro.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
MiMo-V2.5-Pro accepts 1,048,576 input tokens compared to Qwen3.7-Plus's 1,000,000 tokens. MiMo-V2.5-Pro can generate longer responses up to 131,072 tokens, while Qwen3.7-Plus is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Qwen3.7-Plus supports multimodal inputs, whereas MiMo-V2.5-Pro does not.
Qwen3.7-Plus can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiMo-V2.5-Pro
Qwen3.7-Plus
License
Usage and distribution terms
MiMo-V2.5-Pro is licensed under MIT, while Qwen3.7-Plus uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
MiMo-V2.5-Pro was released on 2026-04-27, while Qwen3.7-Plus was released on 2026-05-31.
Qwen3.7-Plus is 1 month newer than MiMo-V2.5-Pro.
Apr 27, 2026
3 months ago
May 31, 2026
1 months ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
MiMo-V2.5-Pro is available from Xiaomi, DeepInfra, Novita. Qwen3.7-Plus is available from Together.
MiMo-V2.5-Pro
Qwen3.7-Plus
Outputs Comparison
Key Takeaways
Qwen3.7-Plus
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against MiMo-V2.5-Pro and Qwen3.7-Plus side-by-side, then vote on the output you prefer.
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FAQ
Common questions about MiMo-V2.5-Pro vs Qwen3.7-Plus.