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DeepSeek-V3.1 vs Qwen3.8 Max

Qwen3.8 Max significantly outperforms across most benchmarks.

DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

DeepSeek-V3.1 outperforms in 0 benchmarks, while Qwen3.8 Max is better at 2 benchmarks (GPQA, Humanity's Last Exam). Qwen3.8 Max significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek-V3.1

  • you want predictable pricing at $0.27/M input and $1.00/M output

Choose Qwen3.8 Max

  • 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

At a glance

The differences that matter most.

Benchmark wins
0 of 2
2 of 2
Input price
$0.27 / M
— / M
Output price
$1.00 / M
— / M
Context window
163,840
Released
Jan 2025
Aug 2026
License
MIT
Qwen3.8-Max License

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek-V3.1 outperforms in 0 benchmarks, while Qwen3.8 Max is better at 2 benchmarks (GPQA, Humanity's Last Exam).

Qwen3.8 Max significantly outperforms across most benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

1729.0B diff

Qwen3.8 Max has 1729.0B more parameters than DeepSeek-V3.1, making it 257.7% larger.

DeepSeek
DeepSeek-V3.1
671.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8 Max
2.4Tparameters
671.0B
DeepSeek-V3.1
2400.0B
Qwen3.8 Max

Context Window

Maximum input and output token capacity

Only DeepSeek-V3.1 specifies input context (163,840 tokens). Only DeepSeek-V3.1 specifies output context (163,840 tokens).

DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
Alibaba Cloud / Qwen Team
Qwen3.8 Max
Input- tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.8 Max supports multimodal inputs, whereas DeepSeek-V3.1 does not.

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

DeepSeek-V3.1

Text
Images
Audio
Video

Qwen3.8 Max

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.1 is licensed under MIT, while Qwen3.8 Max uses Qwen3.8-Max License.

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

DeepSeek-V3.1

MIT

Open weights

Qwen3.8 Max

Qwen3.8-Max License

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.1 was released on 2025-01-10, while Qwen3.8 Max was released on 2026-08-02.

Qwen3.8 Max is 19 months newer than DeepSeek-V3.1.

DeepSeek-V3.1

Jan 10, 2025

1.6 years ago

Qwen3.8 Max

Aug 2, 2026

3 weeks ago

1.6yr 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

Judge for yourself.

Run your own prompts against DeepSeek-V3.1 and Qwen3.8 Max side-by-side, then vote on the output you prefer.

DeepSeek-V3.1
✓ Preferred
Qwen3.8 Max
Open in Playground

FAQ

Common questions about DeepSeek-V3.1 vs Qwen3.8 Max.

Which is better, DeepSeek-V3.1 or Qwen3.8 Max?

Qwen3.8 Max significantly outperforms across most benchmarks. DeepSeek-V3.1 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-V3.1 compare to Qwen3.8 Max in benchmarks?

DeepSeek-V3.1 scores SimpleQA: 93.4%, MMLU-Redux: 91.8%, MMLU-Pro: 83.7%, GPQA: 74.9%, CodeForces: 69.7%. Qwen3.8 Max scores PaperBench: 93.0%, MRCR v2 (8-needle): 92.9%, GPQA: 92.6%, VideoMME w sub.: 90.4%, RealWorldQA: 88.0%.

What are the context window sizes for DeepSeek-V3.1 and Qwen3.8 Max?

DeepSeek-V3.1 supports 164K 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-V3.1 and Qwen3.8 Max?

Key differences include multimodal support (no vs yes), licensing (MIT vs Qwen3.8-Max License). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.1 and Qwen3.8 Max?

DeepSeek-V3.1 is developed by DeepSeek and Qwen3.8 Max is developed by Alibaba Cloud / Qwen Team.