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DeepSeek-V3.2-Exp vs Qwen3.8-27B

Qwen3.8-27B significantly outperforms across most benchmarks.

DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

DeepSeek-V3.2-Exp outperforms in 0 benchmarks, while Qwen3.8-27B is better at 2 benchmarks (GPQA, Humanity's Last Exam). Qwen3.8-27B significantly outperforms across most benchmarks.

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

Choose DeepSeek-V3.2-Exp

  • you want predictable pricing at $0.27/M input and $0.41/M output

Choose Qwen3.8-27B

  • 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
$0.41 / M
— / M
Context window
163,840
Released
Sep 2025
Aug 2026
License
MIT
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek-V3.2-Exp outperforms in 0 benchmarks, while Qwen3.8-27B is better at 2 benchmarks (GPQA, Humanity's Last Exam).

Qwen3.8-27B 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

657.2B diff

DeepSeek-V3.2-Exp has 657.2B more parameters than Qwen3.8-27B, making it 2365.7% larger.

DeepSeek
DeepSeek-V3.2-Exp
685.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-27B
27.8Bparameters
685.0B
DeepSeek-V3.2-Exp
27.8B
Qwen3.8-27B

Context Window

Maximum input and output token capacity

Only DeepSeek-V3.2-Exp specifies input context (163,840 tokens). Only DeepSeek-V3.2-Exp specifies output context (65,536 tokens).

DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-27B
Input- tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.8-27B supports multimodal inputs, whereas DeepSeek-V3.2-Exp does not.

Qwen3.8-27B can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3.2-Exp

Text
Images
Audio
Video

Qwen3.8-27B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2-Exp is licensed under MIT, while Qwen3.8-27B uses Apache 2.0.

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

DeepSeek-V3.2-Exp

MIT

Open weights

Qwen3.8-27B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2-Exp was released on 2025-09-29, while Qwen3.8-27B was released on 2026-08-14.

Qwen3.8-27B is 11 months newer than DeepSeek-V3.2-Exp.

DeepSeek-V3.2-Exp

Sep 29, 2025

11 months ago

Qwen3.8-27B

Aug 14, 2026

1 weeks ago

10mo 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-V3.2-Exp and Qwen3.8-27B side-by-side, then vote on the output you prefer.

DeepSeek-V3.2-Exp
✓ Preferred
Qwen3.8-27B
Open in Playground

FAQ

Common questions about DeepSeek-V3.2-Exp vs Qwen3.8-27B.

Which is better, DeepSeek-V3.2-Exp or Qwen3.8-27B?

Qwen3.8-27B significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp is made by DeepSeek and Qwen3.8-27B 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-V3.2-Exp compare to Qwen3.8-27B in benchmarks?

DeepSeek-V3.2-Exp scores SimpleQA: 97.1%, AIME 2025: 89.3%, MMLU-Pro: 85.0%, HMMT 2025: 83.6%, GPQA: 79.9%. Qwen3.8-27B scores MathVision: 94.6%, OmniDocBench 1.5: 91.1%, LiveCodeBench v6: 90.3%, CharXiv-R: 90.2%, GPQA: 89.2%.

What are the context window sizes for DeepSeek-V3.2-Exp and Qwen3.8-27B?

DeepSeek-V3.2-Exp supports 164K tokens and Qwen3.8-27B 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-V3.2-Exp and Qwen3.8-27B?

Key differences include multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.2-Exp and Qwen3.8-27B?

DeepSeek-V3.2-Exp is developed by DeepSeek and Qwen3.8-27B is developed by Alibaba Cloud / Qwen Team.