Model Comparison

Llama 3.1 70B Instruct vs Qwen3 VL 4B InstructWhich is better in 2026?

Llama 3.1 70B Instruct shows notably better performance in the majority of benchmarks. Llama 3.1 70B Instruct is 1.1x cheaper per token.

Verdict: Llama 3.1 70B Instruct vs Qwen3 VL 4B Instruct — which is better?

Llama 3.1 70B Instruct (by Meta) and Qwen3 VL 4B Instruct (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Llama 3.1 70B Instruct outperforms in 2 benchmarks (IFEval, MMLU), while Qwen3 VL 4B Instruct is better at 1 benchmark (MMLU-Pro). Llama 3.1 70B Instruct shows notably better performance in the majority of benchmarks.

On price, Llama 3.1 70B Instruct is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3 VL 4B Instruct also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.

Choose Llama 3.1 70B Instruct if…

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
  • cost matters — it's about 1.1x cheaper per token

Choose Qwen3 VL 4B Instruct if…

  • you process long inputs — it offers a 262,144 token context window
  • you want the most recent training data — it shipped Sep 2025

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Llama 3.1 70B Instruct outperforms in 2 benchmarks (IFEval, MMLU), while Qwen3 VL 4B Instruct is better at 1 benchmark (MMLU-Pro).

Llama 3.1 70B Instruct shows notably better performance in the majority of benchmarks.

Fri Jul 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.1 70B Instruct costs less

For input processing, Llama 3.1 70B Instruct ($0.20/1M tokens) is 2.0x more expensive than Qwen3 VL 4B Instruct ($0.10/1M tokens).

For output processing, Llama 3.1 70B Instruct ($0.20/1M tokens) is 3.0x cheaper than Qwen3 VL 4B Instruct ($0.60/1M tokens).

In conclusion, Qwen3 VL 4B Instruct is more expensive than Llama 3.1 70B Instruct.*

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

Lowest available price from all providers
Fri Jul 10 2026 • llm-stats.com
Meta
Llama 3.1 70B Instruct
Input tokens$0.20
Output tokens$0.20
Best providerLambda
Alibaba Cloud / Qwen Team
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

66.0B diff

Llama 3.1 70B Instruct has 66.0B more parameters than Qwen3 VL 4B Instruct, making it 1650.0% larger.

Meta
Llama 3.1 70B Instruct
70.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct
4.0Bparameters
70.0B
Llama 3.1 70B Instruct
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 Llama 3.1 70B Instruct's 128,000 tokens. Qwen3 VL 4B Instruct can generate longer responses up to 262,144 tokens, while Llama 3.1 70B Instruct is limited to 128,000 tokens.

Meta
Llama 3.1 70B Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct
Input262,144 tokens
Output262,144 tokens
Fri Jul 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 4B Instruct supports multimodal inputs, whereas Llama 3.1 70B Instruct does not.

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

Llama 3.1 70B Instruct

Text
Images
Audio
Video

Qwen3 VL 4B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.1 70B Instruct is licensed under Llama 3.1 Community License, 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.

Llama 3.1 70B Instruct

Llama 3.1 Community License

Open weights

Qwen3 VL 4B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.1 70B Instruct was released on 2024-07-23, while Qwen3 VL 4B Instruct was released on 2025-09-22.

Qwen3 VL 4B Instruct is 14 months newer than Llama 3.1 70B Instruct.

Llama 3.1 70B Instruct

Jul 23, 2024

2.0 years ago

Qwen3 VL 4B Instruct

Sep 22, 2025

9 months ago

1.2yr 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

Llama 3.1 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Cerebras, Together, Fireworks, Bedrock, Sambanova. Qwen3 VL 4B Instruct is available from DeepInfra.

Llama 3.1 70B Instruct

lambda logo
Lambda
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.35/1MOutput Price:Output: $0.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M
groq logo
Groq
Input Price:Input: $0.59/1MOutput Price:Output: $0.78/1M
cerebras logo
Cerebras
Input Price:Input: $0.60/1MOutput Price:Output: $0.60/1M
together logo
Together
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
sambanova logo
Sambanova
Input Price:Input: $5.00/1MOutput Price:Output: $10.00/1M

Qwen3 VL 4B Instruct

deepinfra logo
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

Less expensive output tokens
Higher IFEval score (87.5% vs 82.3%)
Higher MMLU score (83.6% vs 77.2%)
Alibaba Cloud / Qwen Team

Qwen3 VL 4B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)
Supports multimodal inputs
Less expensive input tokens
Higher MMLU-Pro score (67.1% vs 66.4%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Llama 3.1 70B Instruct and Qwen3 VL 4B Instruct side-by-side, then vote on the output you prefer.

Llama 3.1 70B Instruct
✓ Preferred
Qwen3 VL 4B Instruct
Open in Playground
AI Model Comparison Table
Feature
Meta
Llama 3.1 70B Instruct
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct

FAQ

Common questions about Llama 3.1 70B Instruct vs Qwen3 VL 4B Instruct.

Which is better, Llama 3.1 70B Instruct or Qwen3 VL 4B Instruct?

Llama 3.1 70B Instruct shows notably better performance in the majority of benchmarks. Llama 3.1 70B Instruct is made by Meta 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 Llama 3.1 70B Instruct compare to Qwen3 VL 4B Instruct in benchmarks?

Llama 3.1 70B Instruct scores GSM-8K (CoT): 95.1%, ARC-C: 94.8%, API-Bank: 90.0%, IFEval: 87.5%, Multilingual MGSM (CoT): 86.9%. Qwen3 VL 4B Instruct scores DocVQAtest: 95.3%, ScreenSpot: 94.0%, OCRBench: 88.1%, MMBench-V1.1: 85.1%, AI2D: 84.1%.

Is Llama 3.1 70B Instruct cheaper than Qwen3 VL 4B Instruct?

Qwen3 VL 4B Instruct is 2.0x cheaper for input tokens. Llama 3.1 70B Instruct costs $0.20/M input and $0.20/M output via lambda. Qwen3 VL 4B Instruct costs $0.10/M input and $0.60/M output via deepinfra.

What are the context window sizes for Llama 3.1 70B Instruct and Qwen3 VL 4B Instruct?

Llama 3.1 70B Instruct 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 Llama 3.1 70B Instruct and Qwen3 VL 4B Instruct?

Key differences include context window (128K vs 262K), input pricing ($0.20 vs $0.10/M), multimodal support (no vs yes), licensing (Llama 3.1 Community License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.1 70B Instruct and Qwen3 VL 4B Instruct?

Llama 3.1 70B Instruct is developed by Meta and Qwen3 VL 4B Instruct is developed by Alibaba Cloud / Qwen Team.