Model Comparison
DeepSeek-V4-Flash-0731 vs Qwen3 MaxWhich is better in 2026?
Comparing DeepSeek-V4-Flash-0731 and Qwen3 Max across benchmarks, pricing, and capabilities.
Verdict: DeepSeek-V4-Flash-0731 vs Qwen3 Max — which is better?
DeepSeek-V4-Flash-0731 (by DeepSeek) and Qwen3 Max (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.
On price, DeepSeek-V4-Flash-0731 is roughly 14.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Flash-0731 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-Flash-0731 if…
- cost matters — it's about 14.4x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jul 2026
- you need open weights you can self-host or fine-tune
Choose Qwen3 Max if…
- you want predictable pricing at $0.50/M input and $5.00/M output
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Flash-0731 and Qwen3 Maxdon'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
For input processing, DeepSeek-V4-Flash-0731 ($0.09/1M tokens) is 5.6x cheaper than Qwen3 Max ($0.50/1M tokens).
For output processing, DeepSeek-V4-Flash-0731 ($0.18/1M tokens) is 27.8x cheaper than Qwen3 Max ($5.00/1M tokens).
In conclusion, Qwen3 Max is more expensive than DeepSeek-V4-Flash-0731.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3 Max has 696.0B more parameters than DeepSeek-V4-Flash-0731, making it 228.9% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V4-Flash-0731 accepts 1,048,576 input tokens compared to Qwen3 Max's 256,000 tokens. Qwen3 Max can generate longer responses up to 131,072 tokens, while DeepSeek-V4-Flash-0731 is limited to 65,536 tokens.
License
Usage and distribution terms
DeepSeek-V4-Flash-0731 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.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V4-Flash-0731 was released on 2026-07-31, while Qwen3 Max was released on 2025-12-15.
DeepSeek-V4-Flash-0731 is 8 months newer than Qwen3 Max.
Jul 31, 2026
6 days ago
7mo newerDec 15, 2025
7 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
DeepSeek-V4-Flash-0731 is available from DeepInfra, Fireworks, Novita. Qwen3 Max is available from Novita.
DeepSeek-V4-Flash-0731
Qwen3 Max
Outputs Comparison
Key Takeaways
Qwen3 Max
View detailsAlibaba Cloud / Qwen Team
No standout differentiators in the data we have for this pair.
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-0731 and Qwen3 Max side-by-side, then vote on the output you prefer.
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FAQ
Common questions about DeepSeek-V4-Flash-0731 vs Qwen3 Max.