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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.

Core performance indexes
42.8
#60
45.1
#43
43.1
#54
45.9
#33
31.2
#57
34.9
#33
23.5
#74
28.4
#57
Cost, coverage & limits
Benchmark wins
3 of 12
9 of 12
Input price
$1.30 / M
$1.25 / M
Output price
$2.60 / M
$3.75 / M
Context window
1,048,576
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek-V4-Pro-Max
Qwen3.7 Max
40.2#14
42.8#4
22.0#60
26.6#31
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for DeepSeek-V4-Pro-Max · 42 for Qwen3.7 Max

12 shared

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.

Sat Oct 24 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V4-Pro-Max costs less

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

Lowest available price from all providers
Sat Oct 24 2026 • llm-stats.com
DeepSeek
DeepSeek-V4-Pro-Max
Input tokens$1.30
Output tokens$2.60
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3.7 Max
Input tokens$1.25
Output tokens$3.75
Best providerNovita
Notice missing or incorrect data?

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.

DeepSeek
DeepSeek-V4-Pro-Max
Input1,048,576 tokens
Output1,048,576 tokens
Alibaba Cloud / Qwen Team
Qwen3.7 Max
Input1,000,000 tokens
Output65,536 tokens
Sat Oct 24 2026 • llm-stats.com

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.

DeepSeek-V4-Pro-Max

MIT

Open weights

Qwen3.7 Max

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.

DeepSeek-V4-Pro-Max

Apr 23, 2026

6 months ago

Qwen3.7 Max

May 19, 2026

5 months ago

3w newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

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

deepinfra logo
Deepinfra
Input Price:Input: $1.30/1MOutput Price:Output: $2.60/1M
novita logo
Novita
Input Price:Input: $1.60/1MOutput Price:Output: $3.20/1M
deepseek logo
DeepSeek
Input Price:Input: $1.74/1MOutput Price:Output: $3.48/1M
fireworks logo
Fireworks
Input Price:Input: $1.74/1MOutput Price:Output: $3.48/1M
together logo
Together
Input Price:Input: $1.74/1MOutput Price:Output: $3.48/1M

Qwen3.7 Max

novita logo
Novita
Input Price:Input: $1.25/1MOutput Price:Output: $3.75/1M
deepinfra logo
Deepinfra
Input Price:Input: $2.50/1MOutput Price:Output: $7.50/1M
together logo
Together
Input Price:Input: $2.50/1MOutput Price:Output: $7.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

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.

DeepSeek-V4-Pro-Max
✓ Preferred
Qwen3.7 Max
Open in Playground

FAQ

Common questions about DeepSeek-V4-Pro-Max vs Qwen3.7 Max.

Which is better, DeepSeek-V4-Pro-Max or Qwen3.7 Max?

DeepSeek-V4-Pro-Max and Qwen3.7 Max are closely matched on the LLM Stats Score at 42.8 and 45.1. DeepSeek-V4-Pro-Max is made by DeepSeek and Qwen3.7 Max is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V4-Pro-Max compare to Qwen3.7 Max in benchmarks?

DeepSeek-V4-Pro-Max scores CodeForces: 100.0%, HMMT Feb 26: 95.2%, LiveCodeBench: 93.5%, MathArena Apex: 90.2%, GPQA: 90.1%. Qwen3.7 Max scores HMMT Feb 26: 97.1%, Kernel Bench L3: 96.0%, MMLU-Redux: 95.0%, IFEval: 94.3%, GPQA: 92.4%.

Is DeepSeek-V4-Pro-Max cheaper than Qwen3.7 Max?

Qwen3.7 Max is 1.0x cheaper for input tokens. DeepSeek-V4-Pro-Max costs $1.30/M input and $2.60/M output via deepinfra. Qwen3.7 Max costs $1.25/M input and $3.75/M output via novita.

What are the context window sizes for DeepSeek-V4-Pro-Max and Qwen3.7 Max?

DeepSeek-V4-Pro-Max supports 1.0M tokens and Qwen3.7 Max supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4-Pro-Max and Qwen3.7 Max?

Key differences include LLM Stats Score (42.8 vs 45.1), context window (1.0M vs 1.0M), input pricing ($1.30 vs $1.25/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Pro-Max and Qwen3.7 Max?

DeepSeek-V4-Pro-Max is developed by DeepSeek and Qwen3.7 Max is developed by Alibaba Cloud / Qwen Team.