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DeepSeek R1 Zero vs QwQ-32B-Preview

DeepSeek R1 Zero and QwQ-32B-Preview are closely matched at 16.0 and 9.0 on the LLM Stats Score.

DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

DeepSeek R1 Zero and QwQ-32B-Preview are closely matched on the overall LLM Stats Score at 16.0 and 9.0.

In the 4 individual benchmarks reported for both models, DeepSeek R1 Zero wins 3; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek R1 Zero

  • you value its reported benchmark strengths — it wins 3 of 4 exact shared results
  • you want the most recent training data — it shipped Jan 2025

Choose QwQ-32B-Preview

  • you want predictable pricing at $0.15/M input and $0.20/M output

At a glance

The differences that matter most.

Core performance indexes
16.0
#226
9.0
#273
16.3
#216
9.3
#262
4.3
#209
4.4
#207
Cost, coverage & limits
Benchmark wins
3 of 4
1 of 4
Input price
— / M
$0.15 / M
Output price
— / M
$0.20 / M
Context window
32,768

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Zero
QwQ-32B-Preview
17.5#194
8.9#255
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Zero · 4 for QwQ-32B-Preview

4 shared

DeepSeek R1 Zero outperforms in 3 benchmarks (AIME 2024, GPQA, MATH-500), while QwQ-32B-Preview is better at 0 benchmarks.

DeepSeek R1 Zero shows notably better performance in the majority of benchmarks.

Thu Sep 17 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

638.5B diff

DeepSeek R1 Zero has 638.5B more parameters than QwQ-32B-Preview, making it 1964.6% larger.

DeepSeek
DeepSeek R1 Zero
671.0Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
32.5Bparameters
671.0B
DeepSeek R1 Zero
32.5B
QwQ-32B-Preview

Context Window

Maximum input and output token capacity

Only QwQ-32B-Preview specifies input context (32,768 tokens). Only QwQ-32B-Preview specifies output context (32,768 tokens).

DeepSeek
DeepSeek R1 Zero
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Thu Sep 17 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Zero is licensed under MIT, while QwQ-32B-Preview uses Apache 2.0.

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

DeepSeek R1 Zero

MIT

Open weights

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Zero was released on 2025-01-20, while QwQ-32B-Preview was released on 2024-11-28.

DeepSeek R1 Zero is 2 months newer than QwQ-32B-Preview.

DeepSeek R1 Zero

Jan 20, 2025

1.7 years ago

1mo newer
QwQ-32B-Preview

Nov 28, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while DeepSeek R1 Zero's cutoff date is not specified.

We can confirm QwQ-32B-Preview's training data extends to 2024-11-28, but cannot make a direct comparison without DeepSeek R1 Zero's cutoff date.

DeepSeek R1 Zero

QwQ-32B-Preview

Nov 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek R1 Zero and QwQ-32B-Preview side-by-side, then vote on the output you prefer.

DeepSeek R1 Zero
✓ Preferred
QwQ-32B-Preview
Open in Playground

FAQ

Common questions about DeepSeek R1 Zero vs QwQ-32B-Preview.

Which is better, DeepSeek R1 Zero or QwQ-32B-Preview?

DeepSeek R1 Zero and QwQ-32B-Preview are closely matched on the LLM Stats Score at 16.0 and 9.0. DeepSeek R1 Zero is made by DeepSeek and QwQ-32B-Preview is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek R1 Zero compare to QwQ-32B-Preview in benchmarks?

DeepSeek R1 Zero scores MATH-500: 95.9%, AIME 2024: 86.7%, GPQA: 73.3%, LiveCodeBench: 50.0%. QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.

What are the context window sizes for DeepSeek R1 Zero and QwQ-32B-Preview?

DeepSeek R1 Zero supports an unknown number of tokens and QwQ-32B-Preview supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek R1 Zero and QwQ-32B-Preview?

Key differences include LLM Stats Score (16.0 vs 9.0), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Zero and QwQ-32B-Preview?

DeepSeek R1 Zero is developed by DeepSeek and QwQ-32B-Preview is developed by Alibaba Cloud / Qwen Team.