Model Comparison
Qwen3.7 Max vs MiMo-V2-OmniWhich is better in 2026?
Qwen3.7 Max shows notably better performance in the majority of benchmarks. MiMo-V2-Omni is 2.3x cheaper per token.
Verdict: Qwen3.7 Max vs MiMo-V2-Omni — which is better?
Qwen3.7 Max (by Alibaba Cloud / Qwen Team) and MiMo-V2-Omni (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 Max outperforms in 2 benchmarks (Claw-Eval, SWE-Bench Verified), while MiMo-V2-Omni is better at 1 benchmark (GDPval-AA). Qwen3.7 Max shows notably better performance in the majority of benchmarks.
On price, MiMo-V2-Omni is roughly 2.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3.7 Max also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Qwen3.7 Max if…
- you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped May 2026
Choose MiMo-V2-Omni if…
- cost matters — it's about 2.3x cheaper per token
Performance Benchmarks
Comparative analysis across standard metrics
Qwen3.7 Max outperforms in 2 benchmarks (Claw-Eval, SWE-Bench Verified), while MiMo-V2-Omni is better at 1 benchmark (GDPval-AA).
Qwen3.7 Max 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 Max ($1.25/1M tokens) is 3.1x more expensive than MiMo-V2-Omni ($0.40/1M tokens).
For output processing, Qwen3.7 Max ($3.75/1M tokens) is 1.9x more expensive than MiMo-V2-Omni ($2.00/1M tokens).
In conclusion, Qwen3.7 Max is more expensive than MiMo-V2-Omni.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Qwen3.7 Max accepts 1,000,000 input tokens compared to MiMo-V2-Omni's 262,000 tokens. Qwen3.7 Max can generate longer responses up to 65,536 tokens, while MiMo-V2-Omni is limited to 16,384 tokens.
Input Capabilities
Supported data types and modalities
MiMo-V2-Omni supports multimodal inputs, whereas Qwen3.7 Max does not.
MiMo-V2-Omni can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen3.7 Max
MiMo-V2-Omni
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Qwen3.7 Max was released on 2026-05-19, while MiMo-V2-Omni was released on 2026-03-18.
Qwen3.7 Max is 2 months newer than MiMo-V2-Omni.
May 19, 2026
1 months ago
2mo newerMar 18, 2026
4 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 Max is available from Novita, Together. MiMo-V2-Omni is available from Xiaomi.
Qwen3.7 Max
MiMo-V2-Omni
Outputs Comparison
Key Takeaways
Qwen3.7 Max
View detailsAlibaba Cloud / Qwen Team
MiMo-V2-Omni
View detailsXiaomi
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Qwen3.7 Max and MiMo-V2-Omni side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Qwen3.7 Max vs MiMo-V2-Omni.