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DeepSeek R1 Distill Qwen 32B vs Qwen3 VL 4B Thinking

DeepSeek R1 Distill Qwen 32B and Qwen3 VL 4B Thinking are closely matched at 13.1 and 12.9 on the LLM Stats Score. DeepSeek R1 Distill Qwen 32B is 2.4x cheaper per token.

DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 32B and Qwen3 VL 4B Thinking are closely matched on the overall LLM Stats Score at 13.1 and 12.9.

In the 1 individual benchmarks reported for both models, Qwen3 VL 4B Thinking wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek R1 Distill Qwen 32B is roughly 2.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3 VL 4B Thinking also accepts a larger context window (262,144 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

  • cost matters — it's about 2.4x cheaper per token

Choose Qwen3 VL 4B Thinking

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you process long inputs — it offers a 262,144 token context window
  • you want the most recent training data — it shipped Sep 2025

At a glance

The differences that matter most.

Core performance indexes
13.1
#248
12.9
#249
13.3
#237
14.0
#231
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.12 / M
$0.10 / M
Output price
$0.18 / M
$1.00 / M
Context window
128,000
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Qwen 32B
Qwen3 VL 4B Thinking
15.1#217
15.6#216
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 32B · 48 for Qwen3 VL 4B Thinking

1 shared

DeepSeek R1 Distill Qwen 32B outperforms in 0 benchmarks, while Qwen3 VL 4B Thinking is better at 1 benchmark (GPQA).

Qwen3 VL 4B Thinking significantly outperforms across most benchmarks.

Mon Sep 21 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 1.2x more expensive than Qwen3 VL 4B Thinking ($0.10/1M tokens).

For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 5.6x cheaper than Qwen3 VL 4B Thinking ($1.00/1M tokens).

In conclusion, Qwen3 VL 4B Thinking 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 Sep 21 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input tokens$0.12
Output tokens$0.18
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Thinking
Input tokens$0.10
Output tokens$1.00
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

28.8B diff

DeepSeek R1 Distill Qwen 32B has 28.8B more parameters than Qwen3 VL 4B Thinking, making it 720.0% larger.

DeepSeek
DeepSeek R1 Distill Qwen 32B
32.8Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Thinking
4.0Bparameters
32.8B
DeepSeek R1 Distill Qwen 32B
4.0B
Qwen3 VL 4B Thinking

Context Window

Maximum input and output token capacity

Qwen3 VL 4B Thinking accepts 262,144 input tokens compared to DeepSeek R1 Distill Qwen 32B's 128,000 tokens. Qwen3 VL 4B Thinking can generate longer responses up to 262,144 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
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Thinking
Input262,144 tokens
Output262,144 tokens
Mon Sep 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen3 VL 4B Thinking supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 32B does not.

Qwen3 VL 4B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Qwen 32B

Text
Images
Audio
Video

Qwen3 VL 4B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 32B is licensed under MIT, while Qwen3 VL 4B Thinking uses Apache 2.0.

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

DeepSeek R1 Distill Qwen 32B

MIT

Open weights

Qwen3 VL 4B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while Qwen3 VL 4B Thinking was released on 2025-09-22.

Qwen3 VL 4B Thinking is 8 months newer than DeepSeek R1 Distill Qwen 32B.

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.7 years ago

Qwen3 VL 4B Thinking

Sep 22, 2025

12 months ago

8mo 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

Provider Availability

DeepSeek R1 Distill Qwen 32B is available from DeepInfra. Qwen3 VL 4B Thinking is available from DeepInfra.

DeepSeek R1 Distill Qwen 32B

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

Qwen3 VL 4B Thinking

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $1.00/1M
* 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 Qwen3 VL 4B Thinking side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 32B
✓ Preferred
Qwen3 VL 4B Thinking
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 32B vs Qwen3 VL 4B Thinking.

Which is better, DeepSeek R1 Distill Qwen 32B or Qwen3 VL 4B Thinking?

DeepSeek R1 Distill Qwen 32B and Qwen3 VL 4B Thinking are closely matched on the LLM Stats Score at 13.1 and 12.9. DeepSeek R1 Distill Qwen 32B is made by DeepSeek and Qwen3 VL 4B Thinking 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 32B compare to Qwen3 VL 4B Thinking in benchmarks?

DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. Qwen3 VL 4B Thinking scores DocVQAtest: 94.2%, ScreenSpot: 92.9%, MMBench-V1.1: 86.7%, MMLU-Redux: 86.0%, AI2D: 84.9%.

Is DeepSeek R1 Distill Qwen 32B cheaper than Qwen3 VL 4B Thinking?

Qwen3 VL 4B Thinking is 1.2x cheaper for input tokens. DeepSeek R1 Distill Qwen 32B costs $0.12/M input and $0.18/M output via deepinfra. Qwen3 VL 4B Thinking costs $0.10/M input and $1.00/M output via deepinfra.

What are the context window sizes for DeepSeek R1 Distill Qwen 32B and Qwen3 VL 4B Thinking?

DeepSeek R1 Distill Qwen 32B supports 128K tokens and Qwen3 VL 4B Thinking supports 262K 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 Qwen3 VL 4B Thinking?

Key differences include LLM Stats Score (13.1 vs 12.9), context window (128K vs 262K), input pricing ($0.12 vs $0.10/M), multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 32B and Qwen3 VL 4B Thinking?

DeepSeek R1 Distill Qwen 32B is developed by DeepSeek and Qwen3 VL 4B Thinking is developed by Alibaba Cloud / Qwen Team.