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DeepSeek R1 Distill Qwen 7B vs Qwen3 32B

Qwen3 32B leads the LLM Stats Score 18.6 to 8.5.

DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3 32B leads the overall LLM Stats Score 18.6 to 8.5, ranking #201 overall.

The models split the 2 individual benchmarks reported for both models evenly.

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

Choose DeepSeek R1 Distill Qwen 7B

  • you are already invested in the DeepSeek ecosystem

Choose Qwen3 32B

  • overall performance matters — it scores 18.6 and ranks #201 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Apr 2025

At a glance

The differences that matter most.

Core performance indexes
8.5
#266
18.6
#201
8.8
#255
18.8
#194
2.2
#219
9.1
#170
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
— / M
$0.10 / M
Output price
— / M
$0.30 / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Qwen 7B
Qwen3 32B
14.1#213
21.3#141
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 7B · 9 for Qwen3 32B

2 shared

DeepSeek R1 Distill Qwen 7B outperforms in 1 benchmarks (AIME 2024), while Qwen3 32B is better at 1 benchmark (LiveCodeBench).

Both models are evenly matched across the benchmarks.

Fri Sep 04 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

25.2B diff

Qwen3 32B has 25.2B more parameters than DeepSeek R1 Distill Qwen 7B, making it 330.4% larger.

DeepSeek
DeepSeek R1 Distill Qwen 7B
7.6Bparameters
Alibaba Cloud / Qwen Team
Qwen3 32B
32.8Bparameters
7.6B
DeepSeek R1 Distill Qwen 7B
32.8B
Qwen3 32B

Context Window

Maximum input and output token capacity

Only Qwen3 32B specifies input context (128,000 tokens). Only Qwen3 32B specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 7B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 32B
Input128,000 tokens
Output128,000 tokens
Fri Sep 04 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 7B is licensed under MIT, while Qwen3 32B uses Apache 2.0.

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

DeepSeek R1 Distill Qwen 7B

MIT

Open weights

Qwen3 32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 7B was released on 2025-01-20, while Qwen3 32B was released on 2025-04-29.

Qwen3 32B is 3 months newer than DeepSeek R1 Distill Qwen 7B.

DeepSeek R1 Distill Qwen 7B

Jan 20, 2025

1.6 years ago

Qwen3 32B

Apr 29, 2025

1.3 years ago

3mo 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 R1 Distill Qwen 7B and Qwen3 32B side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 7B
✓ Preferred
Qwen3 32B
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 7B vs Qwen3 32B.

Which is better, DeepSeek R1 Distill Qwen 7B or Qwen3 32B?

Qwen3 32B leads the LLM Stats Score 18.6 to 8.5. DeepSeek R1 Distill Qwen 7B is made by DeepSeek and Qwen3 32B 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 Distill Qwen 7B compare to Qwen3 32B in benchmarks?

DeepSeek R1 Distill Qwen 7B scores MATH-500: 92.8%, AIME 2024: 83.3%, GPQA: 49.1%, LiveCodeBench: 37.6%. Qwen3 32B scores Arena Hard: 93.8%, AIME 2024: 81.4%, LiveBench: 74.9%, MultiLF: 73.0%, AIME 2025: 72.9%.

What are the context window sizes for DeepSeek R1 Distill Qwen 7B and Qwen3 32B?

DeepSeek R1 Distill Qwen 7B supports an unknown number of tokens and Qwen3 32B supports 128K 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 Distill Qwen 7B and Qwen3 32B?

Key differences include LLM Stats Score (8.5 vs 18.6), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 7B and Qwen3 32B?

DeepSeek R1 Distill Qwen 7B is developed by DeepSeek and Qwen3 32B is developed by Alibaba Cloud / Qwen Team.