Model Comparison

DeepSeek-V3.2 (Non-thinking) vs Qwen3 Max

Comparing DeepSeek-V3.2 (Non-thinking) and Qwen3 Max across benchmarks, pricing, and capabilities.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V3.2 (Non-thinking) and Qwen3 Max don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2 (Non-thinking) costs less

For input processing, DeepSeek-V3.2 (Non-thinking) ($0.28/1M tokens) is 1.8x cheaper than Qwen3 Max ($0.50/1M tokens).

For output processing, DeepSeek-V3.2 (Non-thinking) ($0.42/1M tokens) is 11.9x cheaper than Qwen3 Max ($5.00/1M tokens).

In conclusion, Qwen3 Max is more expensive than DeepSeek-V3.2 (Non-thinking).*

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

Lowest available price from all providers

Sun May 17 2026 • llm-stats.com

DeepSeek-V3.2 (Non-thinking)

Input tokens$0.28

Output tokens$0.42

Best providerDeepSeek

Qwen3 Max

Input tokens$0.50

Output tokens$5.00

Best providerNovita

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

315.0B diff

Qwen3 Max has 315.0B more parameters than DeepSeek-V3.2 (Non-thinking), making it 46.0% larger.

DeepSeek-V3.2 (Non-thinking)

685.0Bparameters

Qwen3 Max

1.0Tparameters

685.0B

DeepSeek-V3.2 (Non-thinking)

1000.0B

Qwen3 Max

Context Window

Maximum input and output token capacity

Qwen3 Max accepts 256,000 input tokens compared to DeepSeek-V3.2 (Non-thinking)'s 131,072 tokens. Qwen3 Max can generate longer responses up to 131,072 tokens, while DeepSeek-V3.2 (Non-thinking) is limited to 8,192 tokens.

DeepSeek-V3.2 (Non-thinking)

Input131,072 tokens

Output8,192 tokens

Qwen3 Max

Input256,000 tokens

Output131,072 tokens

Sun May 17 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3.2 (Non-thinking) is licensed under MIT, while Qwen3 Max uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V3.2 (Non-thinking)

MIT

Open weights

Qwen3 Max

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.2 (Non-thinking) was released on 2025-12-01, while Qwen3 Max was released on 2025-12-15.

Qwen3 Max is 0 month newer than DeepSeek-V3.2 (Non-thinking).

DeepSeek-V3.2 (Non-thinking)

Dec 1, 2025

5 months ago

Qwen3 Max

Dec 15, 2025

5 months ago

2w 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-V3.2 (Non-thinking) is available from DeepSeek. Qwen3 Max is available from Novita.

DeepSeek-V3.2 (Non-thinking)

DeepSeek

Input Price:Input: $0.28/1MOutput Price:Output: $0.42/1M

Qwen3 Max

Novita

Input Price:Input: $0.50/1MOutput Price:Output: $5.00/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek-V3.2 (Non-thinking)

View details

DeepSeek

Less expensive input tokens

Less expensive output tokens

Has open weights

Qwen3 Max

View details

Alibaba Cloud / Qwen Team

Larger context window (256,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature	DeepSeek-V3.2 (Non-thinking)	Qwen3 Max

FAQ

Common questions about DeepSeek-V3.2 (Non-thinking) vs Qwen3 Max.

Which is better, DeepSeek-V3.2 (Non-thinking) or Qwen3 Max?

DeepSeek-V3.2 (Non-thinking) (DeepSeek) and Qwen3 Max (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-V3.2 (Non-thinking) compare to Qwen3 Max in benchmarks?

Qwen3 Max scores AIME 2025: 81.6%, t2-bench: 74.8%, SWE-Bench Verified: 69.6%, LiveCodeBench v6: 69.0%, SuperGPQA: 65.1%.

Is DeepSeek-V3.2 (Non-thinking) cheaper than Qwen3 Max?

DeepSeek-V3.2 (Non-thinking) is 1.8x cheaper for input tokens. DeepSeek-V3.2 (Non-thinking) costs $0.28/M input and $0.42/M output via deepseek. Qwen3 Max costs $0.50/M input and $5.00/M output via novita.

What are the context window sizes for DeepSeek-V3.2 (Non-thinking) and Qwen3 Max?

DeepSeek-V3.2 (Non-thinking) supports 131K tokens and Qwen3 Max supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V3.2 (Non-thinking) and Qwen3 Max?

Key differences include context window (131K vs 256K), input pricing ($0.28 vs $0.50/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.2 (Non-thinking) and Qwen3 Max?

DeepSeek-V3.2 (Non-thinking) is developed by DeepSeek and Qwen3 Max is developed by Alibaba Cloud / Qwen Team.