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DeepSeek-V3 0324 vs Qwen3 VL 32B Instruct

DeepSeek-V3 0324 and Qwen3 VL 32B Instruct are closely matched at 13.4 and 20.2 on the LLM Stats Score.

DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

DeepSeek-V3 0324 and Qwen3 VL 32B Instruct are closely matched on the overall LLM Stats Score at 13.4 and 20.2.

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-V3 0324

  • you want predictable pricing at $0.24/M input and $0.90/M output

Choose Qwen3 VL 32B Instruct

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

At a glance

The differences that matter most.

DeepSeek-V3 0324
DeepSeek
Qwen3 VL 32B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
13.4
#261
20.2
#211
Reasoning
13.6
#250
19.2
#217
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
$0.24 / M
— / M
Output price
$0.90 / M
— / M
Context window
163,840
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V3 0324
Qwen3 VL 32B Instruct
Math
15.8#217
19.5#173
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for DeepSeek-V3 0324 · 45 for Qwen3 VL 32B Instruct

2 shared

DeepSeek-V3 0324 outperforms in 1 benchmarks (MMLU-Pro), while Qwen3 VL 32B Instruct is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Fri Oct 09 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

638.0B diff

DeepSeek-V3 0324 has 638.0B more parameters than Qwen3 VL 32B Instruct, making it 1933.3% larger.

DeepSeek
DeepSeek-V3 0324
671.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
33.0Bparameters
671.0B
DeepSeek-V3 0324
33.0B
Qwen3 VL 32B Instruct

Context Window

Maximum input and output token capacity

Only DeepSeek-V3 0324 specifies input context (163,840 tokens). Only DeepSeek-V3 0324 specifies output context (163,840 tokens).

DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
Input- tokens
Output- tokens
Fri Oct 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen3 VL 32B Instruct supports multimodal inputs, whereas DeepSeek-V3 0324 does not.

Qwen3 VL 32B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3 0324

Text
Images
Audio
Video

Qwen3 VL 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while Qwen3 VL 32B Instruct uses Apache 2.0.

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

DeepSeek-V3 0324

MIT + Model License (Commercial use allowed)

Open weights

Qwen3 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while Qwen3 VL 32B Instruct was released on 2025-09-22.

Qwen3 VL 32B Instruct is 6 months newer than DeepSeek-V3 0324.

DeepSeek-V3 0324

Mar 25, 2025

1.5 years ago

Qwen3 VL 32B Instruct

Sep 22, 2025

1.0 years ago

6mo 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?

Judge for yourself.

Run your own prompts against DeepSeek-V3 0324 and Qwen3 VL 32B Instruct side-by-side, then vote on the output you prefer.

DeepSeek-V3 0324
✓ Preferred
Qwen3 VL 32B Instruct
Open in Playground

FAQ

Common questions about DeepSeek-V3 0324 vs Qwen3 VL 32B Instruct.

Which is better, DeepSeek-V3 0324 or Qwen3 VL 32B Instruct?

DeepSeek-V3 0324 and Qwen3 VL 32B Instruct are closely matched on the LLM Stats Score at 13.4 and 20.2. DeepSeek-V3 0324 is made by DeepSeek and Qwen3 VL 32B Instruct 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-V3 0324 compare to Qwen3 VL 32B Instruct in benchmarks?

DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%. Qwen3 VL 32B Instruct scores DocVQAtest: 96.9%, ScreenSpot: 95.8%, CharXiv-D: 90.5%, MMLU-Redux: 89.8%, AI2D: 89.5%.

What are the context window sizes for DeepSeek-V3 0324 and Qwen3 VL 32B Instruct?

DeepSeek-V3 0324 supports 164K tokens and Qwen3 VL 32B Instruct 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 0324 and Qwen3 VL 32B Instruct?

Key differences include LLM Stats Score (13.4 vs 20.2), multimodal support (no vs yes), licensing (MIT + Model License (Commercial use allowed) vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 0324 and Qwen3 VL 32B Instruct?

DeepSeek-V3 0324 is developed by DeepSeek and Qwen3 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.

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