Model Comparison

DeepSeek-V3.2 (Thinking) vs Qwen3-Next-80B-A3B-BaseWhich is better in 2026?

Comparing DeepSeek-V3.2 (Thinking) and Qwen3-Next-80B-A3B-Base across benchmarks, pricing, and capabilities.

Verdict: DeepSeek-V3.2 (Thinking) vs Qwen3-Next-80B-A3B-Base — which is better?

DeepSeek-V3.2 (Thinking) (by DeepSeek) and Qwen3-Next-80B-A3B-Base (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.

Choose DeepSeek-V3.2 (Thinking) if…

  • you want the most recent training data — it shipped Dec 2025

Choose Qwen3-Next-80B-A3B-Base if…

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V3.2 (Thinking) and Qwen3-Next-80B-A3B-Basedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

605.0B diff

DeepSeek-V3.2 (Thinking) has 605.0B more parameters than Qwen3-Next-80B-A3B-Base, making it 756.3% larger.

DeepSeek
DeepSeek-V3.2 (Thinking)
685.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Base
80.0Bparameters
685.0B
DeepSeek-V3.2 (Thinking)
80.0B
Qwen3-Next-80B-A3B-Base

Context Window

Maximum input and output token capacity

Only DeepSeek-V3.2 (Thinking) specifies input context (131,072 tokens). Only DeepSeek-V3.2 (Thinking) specifies output context (65,536 tokens).

DeepSeek
DeepSeek-V3.2 (Thinking)
Input131,072 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Base
Input- tokens
Output- tokens
Thu Jun 11 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3.2 (Thinking) is licensed under MIT, while Qwen3-Next-80B-A3B-Base uses Apache 2.0.

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

DeepSeek-V3.2 (Thinking)

MIT

Open weights

Qwen3-Next-80B-A3B-Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2 (Thinking) was released on 2025-12-01, while Qwen3-Next-80B-A3B-Base was released on 2025-09-10.

DeepSeek-V3.2 (Thinking) is 3 months newer than Qwen3-Next-80B-A3B-Base.

DeepSeek-V3.2 (Thinking)

Dec 1, 2025

6 months ago

2mo newer
Qwen3-Next-80B-A3B-Base

Sep 10, 2025

9 months ago

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

DeepSeek
Larger context window (131,072 tokens)
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Base

View details

Alibaba Cloud / Qwen Team

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2 (Thinking)
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Base

FAQ

Common questions about DeepSeek-V3.2 (Thinking) vs Qwen3-Next-80B-A3B-Base.

Which is better, DeepSeek-V3.2 (Thinking) or Qwen3-Next-80B-A3B-Base?

DeepSeek-V3.2 (Thinking) (DeepSeek) and Qwen3-Next-80B-A3B-Base (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 (Thinking) compare to Qwen3-Next-80B-A3B-Base in benchmarks?

DeepSeek-V3.2 (Thinking) scores AIME 2025: 93.1%, HMMT 2025: 90.2%, MMLU-Pro: 85.0%, LiveCodeBench: 83.3%, GPQA: 82.4%.

What are the context window sizes for DeepSeek-V3.2 (Thinking) and Qwen3-Next-80B-A3B-Base?

DeepSeek-V3.2 (Thinking) supports 131K tokens and Qwen3-Next-80B-A3B-Base 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 (Thinking) and Qwen3-Next-80B-A3B-Base?

Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.2 (Thinking) and Qwen3-Next-80B-A3B-Base?

DeepSeek-V3.2 (Thinking) is developed by DeepSeek and Qwen3-Next-80B-A3B-Base is developed by Alibaba Cloud / Qwen Team.

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