Model Comparison

DeepSeek R1 Distill Llama 70B vs Qwen3 VL 4B Instruct

Comparing DeepSeek R1 Distill Llama 70B and Qwen3 VL 4B Instruct across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek R1 Distill Llama 70B and Qwen3 VL 4B Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek R1 Distill Llama 70B costs less

For input processing, DeepSeek R1 Distill Llama 70B ($0.10/1M tokens) costs the same as Qwen3 VL 4B Instruct ($0.10/1M tokens).

For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 1.5x cheaper than Qwen3 VL 4B Instruct ($0.60/1M tokens).

In conclusion, Qwen3 VL 4B Instruct is more expensive than DeepSeek R1 Distill Llama 70B.*

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

Lowest available price from all providers

Tue May 12 2026 • llm-stats.com

DeepSeek R1 Distill Llama 70B

Input tokens$0.10

Output tokens$0.40

Best providerDeepinfra

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

66.6B diff

DeepSeek R1 Distill Llama 70B has 66.6B more parameters than Qwen3 VL 4B Instruct, making it 1665.0% larger.

DeepSeek R1 Distill Llama 70B

70.6Bparameters

Qwen3 VL 4B Instruct

4.0Bparameters

70.6B

DeepSeek R1 Distill Llama 70B

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 R1 Distill Llama 70B's 128,000 tokens. Qwen3 VL 4B Instruct can generate longer responses up to 262,144 tokens, while DeepSeek R1 Distill Llama 70B is limited to 128,000 tokens.

DeepSeek R1 Distill Llama 70B

Input128,000 tokens

Output128,000 tokens

Qwen3 VL 4B Instruct

Input262,144 tokens

Output262,144 tokens

Tue May 12 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 4B Instruct supports multimodal inputs, whereas DeepSeek R1 Distill Llama 70B does not.

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

DeepSeek R1 Distill Llama 70B

Text

Images

Audio

Video

Qwen3 VL 4B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

DeepSeek R1 Distill Llama 70B is licensed under MIT, 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 R1 Distill Llama 70B

MIT

Open weights

Qwen3 VL 4B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while Qwen3 VL 4B Instruct was released on 2025-09-22.

Qwen3 VL 4B Instruct is 8 months newer than DeepSeek R1 Distill Llama 70B.

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.3 years ago

Qwen3 VL 4B Instruct

Sep 22, 2025

7 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 Llama 70B is available from DeepInfra. Qwen3 VL 4B Instruct is available from DeepInfra.

DeepSeek R1 Distill Llama 70B

Deepinfra

Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

Qwen3 VL 4B Instruct

Deepinfra

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

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek R1 Distill Llama 70B

View details

DeepSeek

Less expensive output tokens

Qwen3 VL 4B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature	DeepSeek R1 Distill Llama 70B	Qwen3 VL 4B Instruct

FAQ

Common questions about DeepSeek R1 Distill Llama 70B vs Qwen3 VL 4B Instruct.

Which is better, DeepSeek R1 Distill Llama 70B or Qwen3 VL 4B Instruct?

DeepSeek R1 Distill Llama 70B (DeepSeek) and Qwen3 VL 4B Instruct (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek R1 Distill Llama 70B compare to Qwen3 VL 4B Instruct in benchmarks?

DeepSeek R1 Distill Llama 70B scores MATH-500: 94.5%, AIME 2024: 86.7%, GPQA: 65.2%, LiveCodeBench: 57.5%. Qwen3 VL 4B Instruct scores DocVQAtest: 95.3%, ScreenSpot: 94.0%, OCRBench: 88.1%, MMBench-V1.1: 85.1%, AI2D: 84.1%.

Is DeepSeek R1 Distill Llama 70B cheaper than Qwen3 VL 4B Instruct?

Both models cost $0.10 per million input tokens.

What are the context window sizes for DeepSeek R1 Distill Llama 70B and Qwen3 VL 4B Instruct?

DeepSeek R1 Distill Llama 70B supports 128K 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 R1 Distill Llama 70B and Qwen3 VL 4B Instruct?

Key differences include context window (128K vs 262K), 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 Llama 70B and Qwen3 VL 4B Instruct?

DeepSeek R1 Distill Llama 70B is developed by DeepSeek and Qwen3 VL 4B Instruct is developed by Alibaba Cloud / Qwen Team.