Model Comparison
Qwen3.7-Plus vs MiMo-V2.5-ProWhich 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: Qwen3.7-Plus vs MiMo-V2.5-Pro — which is better?
Qwen3.7-Plus (by Alibaba Cloud / Qwen Team) and MiMo-V2.5-Pro (by Xiaomi) 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.
Qwen3.7-Plus outperforms in 7 benchmarks (GPQA, Humanity's Last Exam, LiveCodeBench v6, MMLU-Pro, MMLU-Redux, SWE-Bench Pro, Terminal-Bench 2.0), while MiMo-V2.5-Pro is better at 4 benchmarks (Claw-Eval, Finance Agent v2, GDPval-AA, SWE-Bench Verified). 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 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
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
Performance Benchmarks
Comparative analysis across standard metrics
Qwen3.7-Plus outperforms in 7 benchmarks (GPQA, Humanity's Last Exam, LiveCodeBench v6, MMLU-Pro, MMLU-Redux, SWE-Bench Pro, Terminal-Bench 2.0), while MiMo-V2.5-Pro is better at 4 benchmarks (Claw-Eval, Finance Agent v2, GDPval-AA, SWE-Bench Verified).
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, Qwen3.7-Plus ($0.32/1M tokens) is 1.4x cheaper than MiMo-V2.5-Pro ($0.43/1M tokens).
For output processing, Qwen3.7-Plus ($1.28/1M tokens) is 1.5x more expensive than MiMo-V2.5-Pro ($0.87/1M 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.
Qwen3.7-Plus
MiMo-V2.5-Pro
License
Usage and distribution terms
Qwen3.7-Plus is licensed under a proprietary license, while MiMo-V2.5-Pro uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Qwen3.7-Plus was released on 2026-05-31, while MiMo-V2.5-Pro was released on 2026-04-27.
Qwen3.7-Plus is 1 month newer than MiMo-V2.5-Pro.
May 31, 2026
1 months ago
1mo newerApr 27, 2026
2 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Qwen3.7-Plus is available from Together. MiMo-V2.5-Pro is available from Xiaomi, DeepInfra, Novita.
Qwen3.7-Plus
MiMo-V2.5-Pro
Outputs Comparison
Key Takeaways
Qwen3.7-Plus
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Qwen3.7-Plus and MiMo-V2.5-Pro side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Qwen3.7-Plus vs MiMo-V2.5-Pro.