Model Comparison

DeepSeek-V4-Flash-0731 vs Qwen3.8 MaxWhich is better in 2026?

Qwen3.8 Max significantly outperforms across most benchmarks.

Verdict: DeepSeek-V4-Flash-0731 vs Qwen3.8 Max — which is better?

DeepSeek-V4-Flash-0731 (by DeepSeek) and Qwen3.8 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.

DeepSeek-V4-Flash-0731 outperforms in 0 benchmarks, while Qwen3.8 Max is better at 2 benchmarks (NL2Repo, Terminal-Bench 2.1). Qwen3.8 Max significantly outperforms across most benchmarks.

Choose DeepSeek-V4-Flash-0731 if…

  • you need open weights you can self-host or fine-tune

Choose Qwen3.8 Max if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Aug 2026

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek-V4-Flash-0731 outperforms in 0 benchmarks, while Qwen3.8 Max is better at 2 benchmarks (NL2Repo, Terminal-Bench 2.1).

Qwen3.8 Max significantly outperforms across most benchmarks.

Mon Aug 03 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

2096.0B diff

Qwen3.8 Max has 2096.0B more parameters than DeepSeek-V4-Flash-0731, making it 689.5% larger.

DeepSeek
DeepSeek-V4-Flash-0731
304.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8 Max
2.4Tparameters
304.0B
DeepSeek-V4-Flash-0731
2400.0B
Qwen3.8 Max

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Flash-0731 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Flash-0731 specifies output context (65,536 tokens).

DeepSeek
DeepSeek-V4-Flash-0731
Input1,048,576 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3.8 Max
Input- tokens
Output- tokens
Mon Aug 03 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.8 Max supports multimodal inputs, whereas DeepSeek-V4-Flash-0731 does not.

Qwen3.8 Max can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4-Flash-0731

Text
Images
Audio
Video

Qwen3.8 Max

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4-Flash-0731 is licensed under MIT, while Qwen3.8 Max uses a proprietary license.

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

DeepSeek-V4-Flash-0731

MIT

Open weights

Qwen3.8 Max

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4-Flash-0731 was released on 2026-07-31, while Qwen3.8 Max was released on 2026-08-02.

Qwen3.8 Max is 0 month newer than DeepSeek-V4-Flash-0731.

DeepSeek-V4-Flash-0731

Jul 31, 2026

3 days ago

Qwen3.8 Max

Aug 2, 2026

1 days ago

2d 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (1,048,576 tokens)
Has open weights
Alibaba Cloud / Qwen Team

Qwen3.8 Max

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Higher NL2Repo score (55.9% vs 54.2%)
Higher Terminal-Bench 2.1 score (86.6% vs 82.7%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V4-Flash-0731 and Qwen3.8 Max side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-0731
✓ Preferred
Qwen3.8 Max
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V4-Flash-0731
Alibaba Cloud / Qwen Team
Qwen3.8 Max

FAQ

Common questions about DeepSeek-V4-Flash-0731 vs Qwen3.8 Max.

Which is better, DeepSeek-V4-Flash-0731 or Qwen3.8 Max?

Qwen3.8 Max significantly outperforms across most benchmarks. DeepSeek-V4-Flash-0731 is made by DeepSeek and Qwen3.8 Max 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-Flash-0731 compare to Qwen3.8 Max in benchmarks?

DeepSeek-V4-Flash-0731 scores Terminal-Bench 2.1: 82.7%, CyberGym: 76.7%, Toolathlon: 70.3%, DSBench-FullStack: 68.7%, DSBench-Hard: 59.6%. Qwen3.8 Max scores PaperBench: 93.0%, GPQA: 92.6%, VideoMME w sub.: 90.4%, RealWorldQA: 88.0%, Terminal-Bench 2.1: 86.6%.

What are the context window sizes for DeepSeek-V4-Flash-0731 and Qwen3.8 Max?

DeepSeek-V4-Flash-0731 supports 1.0M tokens and Qwen3.8 Max supports an unknown number of 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-Flash-0731 and Qwen3.8 Max?

Key differences include multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-0731 and Qwen3.8 Max?

DeepSeek-V4-Flash-0731 is developed by DeepSeek and Qwen3.8 Max is developed by Alibaba Cloud / Qwen Team.