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DeepSeek R1 Distill Qwen 32B vs DeepSeek-V3

DeepSeek R1 Distill Qwen 32B and DeepSeek-V3 are closely matched at 13.3 and 15.8 on the LLM Stats Score. DeepSeek R1 Distill Qwen 32B is 3.5x cheaper per token.

DeepSeek · DeepSeek · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 32B and DeepSeek-V3 are closely matched on the overall LLM Stats Score at 13.3 and 15.8.

In the 4 individual benchmarks reported for both models, DeepSeek R1 Distill Qwen 32B wins 4; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek R1 Distill Qwen 32B is roughly 3.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V3 also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose DeepSeek R1 Distill Qwen 32B

  • you value its reported benchmark strengths — it wins 4 of 4 exact shared results
  • cost matters — it's about 3.5x cheaper per token
  • you want the most recent training data — it shipped Jan 2025

Choose DeepSeek-V3

  • you process long inputs — it offers a 131,072 token context window

At a glance

The differences that matter most.

DeepSeek R1 Distill Qwen 32B
DeepSeek
DeepSeek-V3
DeepSeek
Core performance indexes
LLM Stats Score
13.3
#231
15.8
#211
Reasoning
13.5
#223
14.9
#213
Coding
8.3
#170
6.5
#179
Cost, coverage & limits
Benchmark wins
4 of 4
0 of 4
Input price
$0.12 / M
$0.27 / M
Output price
$0.18 / M
$1.10 / M
Context window
128,000
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Qwen 32B
DeepSeek-V3
Math
15.2#207
18.2#173
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 32B · 20 for DeepSeek-V3

4 shared

DeepSeek R1 Distill Qwen 32B outperforms in 4 benchmarks (AIME 2024, GPQA, LiveCodeBench, MATH-500), while DeepSeek-V3 is better at 0 benchmarks.

DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks.

Mon Aug 31 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek R1 Distill Qwen 32B costs less

For input processing, DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens) is 2.3x cheaper than DeepSeek-V3 ($0.27/1M tokens).

For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 6.1x cheaper than DeepSeek-V3 ($1.10/1M tokens).

In conclusion, DeepSeek-V3 is more expensive than DeepSeek R1 Distill Qwen 32B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Aug 31 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input tokens$0.12
Output tokens$0.18
Best providerDeepinfra
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

638.2B diff

DeepSeek-V3 has 638.2B more parameters than DeepSeek R1 Distill Qwen 32B, making it 1945.7% larger.

DeepSeek
DeepSeek R1 Distill Qwen 32B
32.8Bparameters
DeepSeek
DeepSeek-V3
671.0Bparameters
32.8B
DeepSeek R1 Distill Qwen 32B
671.0B
DeepSeek-V3

Context Window

Maximum input and output token capacity

DeepSeek-V3 accepts 131,072 input tokens compared to DeepSeek R1 Distill Qwen 32B's 128,000 tokens. DeepSeek-V3 can generate longer responses up to 131,072 tokens, while DeepSeek R1 Distill Qwen 32B is limited to 128,000 tokens.

DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Mon Aug 31 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 32B is licensed under MIT, while DeepSeek-V3 uses MIT + Model License (Commercial use allowed).

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

DeepSeek R1 Distill Qwen 32B

MIT

Open weights

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while DeepSeek-V3 was released on 2024-12-25.

DeepSeek R1 Distill Qwen 32B is 1 month newer than DeepSeek-V3.

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.6 years ago

3w newer
DeepSeek-V3

Dec 25, 2024

1.7 years 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

Provider Availability

DeepSeek R1 Distill Qwen 32B is available from DeepInfra. DeepSeek-V3 is available from DeepSeek.

DeepSeek R1 Distill Qwen 32B

deepinfra logo
Deepinfra
Input Price:Input: $0.12/1MOutput Price:Output: $0.18/1M

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Qwen 32B and DeepSeek-V3 side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 32B
✓ Preferred
DeepSeek-V3
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 32B vs DeepSeek-V3.

Which is better, DeepSeek R1 Distill Qwen 32B or DeepSeek-V3?

DeepSeek R1 Distill Qwen 32B and DeepSeek-V3 are closely matched on the LLM Stats Score at 13.3 and 15.8. DeepSeek R1 Distill Qwen 32B is made by DeepSeek and DeepSeek-V3 is made by DeepSeek. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek R1 Distill Qwen 32B compare to DeepSeek-V3 in benchmarks?

DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%.

Is DeepSeek R1 Distill Qwen 32B cheaper than DeepSeek-V3?

DeepSeek R1 Distill Qwen 32B is 2.3x cheaper for input tokens. DeepSeek R1 Distill Qwen 32B costs $0.12/M input and $0.18/M output via deepinfra. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek.

What are the context window sizes for DeepSeek R1 Distill Qwen 32B and DeepSeek-V3?

DeepSeek R1 Distill Qwen 32B supports 128K tokens and DeepSeek-V3 supports 131K 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 32B and DeepSeek-V3?

Key differences include LLM Stats Score (13.3 vs 15.8), context window (128K vs 131K), input pricing ($0.12 vs $0.27/M), licensing (MIT vs MIT + Model License (Commercial use allowed)). See the full comparison above for benchmark-by-benchmark results.

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