Model Comparison

DeepSeek-V3 0324 vs Qwen3 VL 4B Instruct

DeepSeek-V3 0324 significantly outperforms across most benchmarks. Qwen3 VL 4B Instruct is 2.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek-V3 0324 outperforms in 1 benchmarks (MMLU-Pro), while Qwen3 VL 4B Instruct is better at 0 benchmarks.

DeepSeek-V3 0324 significantly outperforms across most benchmarks.

Mon Jun 01 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 4B Instruct costs less

For input processing, DeepSeek-V3 0324 ($0.28/1M tokens) is 2.8x more expensive than Qwen3 VL 4B Instruct ($0.10/1M tokens).

For output processing, DeepSeek-V3 0324 ($1.14/1M tokens) is 1.9x more expensive than Qwen3 VL 4B Instruct ($0.60/1M tokens).

In conclusion, DeepSeek-V3 0324 is more expensive than Qwen3 VL 4B Instruct.*

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

Lowest available price from all providers

Mon Jun 01 2026 • llm-stats.com

DeepSeek-V3 0324

Input tokens$0.28

Output tokens$1.14

Best providerNovita

Qwen3 VL 4B Instruct

Input tokens$0.10

Output tokens$0.60

Best providerDeepinfra

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

667.0B diff

DeepSeek-V3 0324 has 667.0B more parameters than Qwen3 VL 4B Instruct, making it 16675.0% larger.

DeepSeek-V3 0324

671.0Bparameters

Qwen3 VL 4B Instruct

4.0Bparameters

671.0B

DeepSeek-V3 0324

4.0B

Qwen3 VL 4B Instruct

Context Window

Maximum input and output token capacity

Qwen3 VL 4B Instruct accepts 262,144 input tokens compared to DeepSeek-V3 0324's 163,840 tokens. Qwen3 VL 4B Instruct can generate longer responses up to 262,144 tokens, while DeepSeek-V3 0324 is limited to 163,840 tokens.

DeepSeek-V3 0324

Input163,840 tokens

Output163,840 tokens

Qwen3 VL 4B Instruct

Input262,144 tokens

Output262,144 tokens

Mon Jun 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 4B Instruct supports multimodal inputs, whereas DeepSeek-V3 0324 does not.

Qwen3 VL 4B 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 4B 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 4B 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 4B 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 4B Instruct was released on 2025-09-22.

Qwen3 VL 4B Instruct is 6 months newer than DeepSeek-V3 0324.

DeepSeek-V3 0324

Mar 25, 2025

1.2 years ago

Qwen3 VL 4B Instruct

Sep 22, 2025

8 months 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

Provider Availability

DeepSeek-V3 0324 is available from Novita. Qwen3 VL 4B Instruct is available from DeepInfra.

DeepSeek-V3 0324

Novita

Input Price:Input: $0.28/1MOutput Price:Output: $1.14/1M

Qwen3 VL 4B Instruct

Deepinfra

Input Price:Input: $0.10/1MOutput Price:Output: $0.60/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek-V3 0324

View details

DeepSeek

Higher MMLU-Pro score (81.2% vs 67.1%)

Qwen3 VL 4B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Supports multimodal inputs

Less expensive input tokens

Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature	DeepSeek-V3 0324	Qwen3 VL 4B Instruct

FAQ

Common questions about DeepSeek-V3 0324 vs Qwen3 VL 4B Instruct.

Which is better, DeepSeek-V3 0324 or Qwen3 VL 4B Instruct?

DeepSeek-V3 0324 significantly outperforms across most benchmarks. DeepSeek-V3 0324 is made by DeepSeek and Qwen3 VL 4B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V3 0324 compare to Qwen3 VL 4B 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 4B Instruct scores DocVQAtest: 95.3%, ScreenSpot: 94.0%, OCRBench: 88.1%, MMBench-V1.1: 85.1%, AI2D: 84.1%.

Is DeepSeek-V3 0324 cheaper than Qwen3 VL 4B Instruct?

Qwen3 VL 4B Instruct is 2.8x cheaper for input tokens. DeepSeek-V3 0324 costs $0.28/M input and $1.14/M output via novita. Qwen3 VL 4B Instruct costs $0.10/M input and $0.60/M output via deepinfra.

What are the context window sizes for DeepSeek-V3 0324 and Qwen3 VL 4B Instruct?

DeepSeek-V3 0324 supports 164K tokens and Qwen3 VL 4B Instruct 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-V3 0324 and Qwen3 VL 4B Instruct?

Key differences include context window (164K vs 262K), input pricing ($0.28 vs $0.10/M), 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 4B Instruct?

DeepSeek-V3 0324 is developed by DeepSeek and Qwen3 VL 4B Instruct is developed by Alibaba Cloud / Qwen Team.