DeepSeek-V4-Pro-Max vs Qwen3.7 Max
DeepSeek-V4-Pro-Max and Qwen3.7 Max are closely matched at 42.8 and 45.1 on the LLM Stats Score. DeepSeek-V4-Pro-Max is 1.2x cheaper per token.
DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
DeepSeek-V4-Pro-Max and Qwen3.7 Max are closely matched on the overall LLM Stats Score at 42.8 and 45.1.
In the 12 individual benchmarks reported for both models, Qwen3.7 Max wins 9; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek-V4-Pro-Max is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Pro-Max also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Pro-Max
- cost matters — it's about 1.2x 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
Choose Qwen3.7 Max
- you value its reported benchmark strengths — it wins 9 of 12 exact shared results
- you want the most recent training data — it shipped May 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
22 reported for DeepSeek-V4-Pro-Max · 42 for Qwen3.7 Max
DeepSeek-V4-Pro-Max outperforms in 3 benchmarks (Humanity's Last Exam, MathArena Apex, SWE-Bench Verified), while Qwen3.7 Max is better at 9 benchmarks (GPQA, HMMT Feb 26, IMO-AnswerBench, LiveBench, MCP Atlas, MMLU-Pro, SWE-bench Multilingual, SWE-Bench Pro, Terminal-Bench 2.0).
Qwen3.7 Max shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Pro-Max ($1.30/1M tokens) is 1.0x more expensive than Qwen3.7 Max ($1.25/1M tokens).
For output processing, DeepSeek-V4-Pro-Max ($2.60/1M tokens) is 1.4x cheaper than Qwen3.7 Max ($3.75/1M tokens).
In conclusion, Qwen3.7 Max is more expensive than DeepSeek-V4-Pro-Max.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V4-Pro-Max accepts 1,048,576 input tokens compared to Qwen3.7 Max's 1,000,000 tokens. DeepSeek-V4-Pro-Max can generate longer responses up to 1,048,576 tokens, while Qwen3.7 Max is limited to 65,536 tokens.
License
Usage and distribution terms
DeepSeek-V4-Pro-Max is licensed under MIT, while Qwen3.7 Max 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
DeepSeek-V4-Pro-Max was released on 2026-04-23, while Qwen3.7 Max was released on 2026-05-19.
Qwen3.7 Max is 1 month newer than DeepSeek-V4-Pro-Max.
Apr 23, 2026
6 months ago
May 19, 2026
5 months ago
3w newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V4-Pro-Max is available from DeepInfra, Novita, DeepSeek, Fireworks, Together. Qwen3.7 Max is available from Novita, DeepInfra, Together.
DeepSeek-V4-Pro-Max
Qwen3.7 Max
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Pro-Max and Qwen3.7 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Pro-Max vs Qwen3.7 Max.