Model Comparison

DeepSeek-V4-Pro-Max vs Qwen3.7-PlusWhich is better in 2026?

DeepSeek-V4-Pro-Max shows notably better performance in the majority of benchmarks. Qwen3.7-Plus is 3.6x cheaper per token.

Verdict: DeepSeek-V4-Pro-Max vs Qwen3.7-Plus — which is better?

DeepSeek-V4-Pro-Max (by DeepSeek) and Qwen3.7-Plus (by Alibaba Cloud / Qwen Team) 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.

DeepSeek-V4-Pro-Max outperforms in 7 benchmarks (GDPval-AA, HMMT Feb 26, Humanity's Last Exam, IMO-AnswerBench, MCP Atlas, SWE-bench Multilingual, SWE-Bench Verified), while Qwen3.7-Plus is better at 4 benchmarks (GPQA, MMLU-Pro, SWE-Bench Pro, Terminal-Bench 2.0). DeepSeek-V4-Pro-Max shows notably better performance in the majority of benchmarks.

On price, Qwen3.7-Plus is roughly 3.6x 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.

Choose DeepSeek-V4-Pro-Max if…

  • you want the strongest raw capability — it leads on 7 of 11 shared benchmarks
  • 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-Plus if…

  • cost matters — it's about 3.6x cheaper per token
  • you want the most recent training data — it shipped May 2026

Performance Benchmarks

Comparative analysis across standard metrics

11 benchmarks

DeepSeek-V4-Pro-Max outperforms in 7 benchmarks (GDPval-AA, HMMT Feb 26, Humanity's Last Exam, IMO-AnswerBench, MCP Atlas, SWE-bench Multilingual, SWE-Bench Verified), while Qwen3.7-Plus is better at 4 benchmarks (GPQA, MMLU-Pro, SWE-Bench Pro, Terminal-Bench 2.0).

DeepSeek-V4-Pro-Max shows notably better performance in the majority of benchmarks.

Fri Jul 24 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3.7-Plus costs less

For input processing, DeepSeek-V4-Pro-Max ($1.60/1M tokens) is 5.0x more expensive than Qwen3.7-Plus ($0.32/1M tokens).

For output processing, DeepSeek-V4-Pro-Max ($3.20/1M tokens) is 2.5x more expensive than Qwen3.7-Plus ($1.28/1M tokens).

In conclusion, DeepSeek-V4-Pro-Max is more expensive than Qwen3.7-Plus.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Jul 24 2026 • llm-stats.com
DeepSeek
DeepSeek-V4-Pro-Max
Input tokens$1.60
Output tokens$3.20
Best providerNovita
Alibaba Cloud / Qwen Team
Qwen3.7-Plus
Input tokens$0.32
Output tokens$1.28
Best providerTogether
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

DeepSeek-V4-Pro-Max accepts 1,048,576 input tokens compared to Qwen3.7-Plus's 1,000,000 tokens. DeepSeek-V4-Pro-Max can generate longer responses up to 131,072 tokens, while Qwen3.7-Plus is limited to 65,536 tokens.

DeepSeek
DeepSeek-V4-Pro-Max
Input1,048,576 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen3.7-Plus
Input1,000,000 tokens
Output65,536 tokens
Fri Jul 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.7-Plus supports multimodal inputs, whereas DeepSeek-V4-Pro-Max does not.

Qwen3.7-Plus can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4-Pro-Max

Text
Images
Audio
Video

Qwen3.7-Plus

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4-Pro-Max is licensed under MIT, while Qwen3.7-Plus 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-Plus

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4-Pro-Max was released on 2026-04-23, while Qwen3.7-Plus was released on 2026-05-31.

Qwen3.7-Plus is 1 month newer than DeepSeek-V4-Pro-Max.

DeepSeek-V4-Pro-Max

Apr 23, 2026

3 months ago

Qwen3.7-Plus

May 31, 2026

1 months ago

1mo 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 Novita, DeepInfra, DeepSeek, Fireworks, Together. Qwen3.7-Plus is available from Together.

DeepSeek-V4-Pro-Max

novita logo
Novita
Input Price:Input: $1.60/1MOutput Price:Output: $3.20/1M
deepinfra logo
Deepinfra
Input Price:Input: $1.74/1MOutput Price:Output: $3.48/1M
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-Plus

together logo
Together
Input Price:Input: $0.32/1MOutput Price:Output: $1.28/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Larger context window (1,048,576 tokens)
Has open weights
Higher GDPval-AA score (44.4% vs 31.5%)
Higher HMMT Feb 26 score (95.2% vs 92.9%)
Higher Humanity's Last Exam score (48.2% vs 34.7%)
Higher IMO-AnswerBench score (89.8% vs 86.0%)
Higher MCP Atlas score (73.6% vs 73.2%)
Higher SWE-bench Multilingual score (76.2% vs 75.8%)
Higher SWE-Bench Verified score (80.6% vs 77.7%)
Alibaba Cloud / Qwen Team

Qwen3.7-Plus

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (90.3% vs 90.1%)
Higher MMLU-Pro score (88.5% vs 87.5%)
Higher SWE-Bench Pro score (57.6% vs 55.4%)
Higher Terminal-Bench 2.0 score (70.3% vs 67.9%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V4-Pro-Max and Qwen3.7-Plus side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-Max
✓ Preferred
Qwen3.7-Plus
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V4-Pro-Max
Alibaba Cloud / Qwen Team
Qwen3.7-Plus

FAQ

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

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

DeepSeek-V4-Pro-Max shows notably better performance in the majority of benchmarks. DeepSeek-V4-Pro-Max is made by DeepSeek and Qwen3.7-Plus is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V4-Pro-Max compare to Qwen3.7-Plus 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-Plus scores IFEval: 94.6%, MMLU-Redux: 94.5%, HMMT Feb 26: 92.9%, MRCR v2: 91.7%, OmniDocBench 1.5: 91.4%.

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

Qwen3.7-Plus is 5.0x cheaper for input tokens. DeepSeek-V4-Pro-Max costs $1.60/M input and $3.20/M output via novita. Qwen3.7-Plus costs $0.32/M input and $1.28/M output via together.

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

DeepSeek-V4-Pro-Max supports 1.0M tokens and Qwen3.7-Plus 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-Plus?

Key differences include context window (1.0M vs 1.0M), input pricing ($1.60 vs $0.32/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

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

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

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