Model Comparison
Qwen3.7 Max vs DeepSeek-V4-Flash-MaxWhich is better in 2026?
Qwen3.7 Max significantly outperforms across most benchmarks. DeepSeek-V4-Flash-Max is 15.0x cheaper per token.
Verdict: Qwen3.7 Max vs DeepSeek-V4-Flash-Max — which is better?
Qwen3.7 Max (by Alibaba Cloud / Qwen Team) and DeepSeek-V4-Flash-Max (by DeepSeek) 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 10 benchmarks (GDPval-AA, GPQA, HMMT Feb 26, IMO-AnswerBench, MCP Atlas, MMLU-Pro, SWE-bench Multilingual, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0), while DeepSeek-V4-Flash-Max is better at 2 benchmarks (Humanity's Last Exam, MathArena Apex). Qwen3.7 Max significantly outperforms across most benchmarks.
On price, DeepSeek-V4-Flash-Max is roughly 15.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Flash-Max 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 Max if…
- you want the strongest raw capability — it leads on 10 of 12 shared benchmarks
- you want the most recent training data — it shipped May 2026
Choose DeepSeek-V4-Flash-Max if…
- cost matters — it's about 15.0x cheaper per token
- 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 Max outperforms in 10 benchmarks (GDPval-AA, GPQA, HMMT Feb 26, IMO-AnswerBench, MCP Atlas, MMLU-Pro, SWE-bench Multilingual, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0), while DeepSeek-V4-Flash-Max is better at 2 benchmarks (Humanity's Last Exam, MathArena Apex).
Qwen3.7 Max significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Qwen3.7 Max ($1.25/1M tokens) is 12.5x more expensive than DeepSeek-V4-Flash-Max ($0.10/1M tokens).
For output processing, Qwen3.7 Max ($3.75/1M tokens) is 18.8x more expensive than DeepSeek-V4-Flash-Max ($0.20/1M tokens).
In conclusion, Qwen3.7 Max is more expensive than DeepSeek-V4-Flash-Max.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V4-Flash-Max accepts 1,048,576 input tokens compared to Qwen3.7 Max's 1,000,000 tokens. Both models can generate responses up to 65,536 tokens.
License
Usage and distribution terms
Qwen3.7 Max is licensed under a proprietary license, while DeepSeek-V4-Flash-Max 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 Max was released on 2026-05-19, while DeepSeek-V4-Flash-Max was released on 2026-04-23.
Qwen3.7 Max is 1 month newer than DeepSeek-V4-Flash-Max.
May 19, 2026
1 months ago
3w newerApr 23, 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 Max is available from Novita, Together. DeepSeek-V4-Flash-Max is available from DeepInfra, DeepSeek, Fireworks, Novita.
Qwen3.7 Max
DeepSeek-V4-Flash-Max
Outputs Comparison
Key Takeaways
Qwen3.7 Max
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Qwen3.7 Max and DeepSeek-V4-Flash-Max side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Qwen3.7 Max vs DeepSeek-V4-Flash-Max.