Model Comparison

Llama 3.1 8B Instruct vs Qwen3 VL 30B A3B InstructWhich is better in 2026?

Qwen3 VL 30B A3B Instruct significantly outperforms across most benchmarks. Llama 3.1 8B Instruct is 10.8x cheaper per token.

Verdict: Llama 3.1 8B Instruct vs Qwen3 VL 30B A3B Instruct — which is better?

Llama 3.1 8B Instruct (by Meta) and Qwen3 VL 30B A3B 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 8B Instruct outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Instruct is better at 4 benchmarks (GPQA, IFEval, MMLU, MMLU-Pro). Qwen3 VL 30B A3B Instruct significantly outperforms across most benchmarks.

On price, Llama 3.1 8B Instruct is roughly 10.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Choose Llama 3.1 8B Instruct if…

  • cost matters — it's about 10.8x cheaper per token

Choose Qwen3 VL 30B A3B Instruct if…

  • you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Llama 3.1 8B Instruct outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Instruct is better at 4 benchmarks (GPQA, IFEval, MMLU, MMLU-Pro).

Qwen3 VL 30B A3B Instruct significantly outperforms across most benchmarks.

Tue Jun 09 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.1 8B Instruct costs less

For input processing, Llama 3.1 8B Instruct ($0.03/1M tokens) is 6.7x cheaper than Qwen3 VL 30B A3B Instruct ($0.20/1M tokens).

For output processing, Llama 3.1 8B Instruct ($0.03/1M tokens) is 23.3x cheaper than Qwen3 VL 30B A3B Instruct ($0.70/1M tokens).

In conclusion, Qwen3 VL 30B A3B Instruct is more expensive than Llama 3.1 8B Instruct.*

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

Lowest available price from all providers
Tue Jun 09 2026 • llm-stats.com
Meta
Llama 3.1 8B Instruct
Input tokens$0.03
Output tokens$0.03
Best providerLambda
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Instruct
Input tokens$0.20
Output tokens$0.70
Best providerNovita
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

23.0B diff

Qwen3 VL 30B A3B Instruct has 23.0B more parameters than Llama 3.1 8B Instruct, making it 287.5% larger.

Meta
Llama 3.1 8B Instruct
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Instruct
31.0Bparameters
8.0B
Llama 3.1 8B Instruct
31.0B
Qwen3 VL 30B A3B Instruct

Context Window

Maximum input and output token capacity

Both models have the same input context window of 131,072 tokens. Llama 3.1 8B Instruct can generate longer responses up to 131,072 tokens, while Qwen3 VL 30B A3B Instruct is limited to 32,768 tokens.

Meta
Llama 3.1 8B Instruct
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Instruct
Input131,072 tokens
Output32,768 tokens
Tue Jun 09 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 30B A3B Instruct supports multimodal inputs, whereas Llama 3.1 8B Instruct does not.

Qwen3 VL 30B A3B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama 3.1 8B Instruct

Text
Images
Audio
Video

Qwen3 VL 30B A3B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.1 8B Instruct is licensed under Llama 3.1 Community License, while Qwen3 VL 30B A3B Instruct uses Apache 2.0.

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

Llama 3.1 8B Instruct

Llama 3.1 Community License

Open weights

Qwen3 VL 30B A3B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.1 8B Instruct was released on 2024-07-23, while Qwen3 VL 30B A3B Instruct was released on 2025-09-22.

Qwen3 VL 30B A3B Instruct is 14 months newer than Llama 3.1 8B Instruct.

Llama 3.1 8B Instruct

Jul 23, 2024

1.9 years ago

Qwen3 VL 30B A3B Instruct

Sep 22, 2025

8 months ago

1.2yr newer

Knowledge Cutoff

When training data ends

Llama 3.1 8B Instruct has a documented knowledge cutoff of 2023-12-31, while Qwen3 VL 30B A3B Instruct's cutoff date is not specified.

We can confirm Llama 3.1 8B Instruct's training data extends to 2023-12-31, but cannot make a direct comparison without Qwen3 VL 30B A3B Instruct's cutoff date.

Llama 3.1 8B Instruct

Dec 2023

Qwen3 VL 30B A3B Instruct

Provider Availability

Llama 3.1 8B Instruct is available from Lambda, DeepInfra, Groq, Sambanova, Cerebras, Hyperbolic, Together, Fireworks, Bedrock. Qwen3 VL 30B A3B Instruct is available from Novita, DeepInfra.

Llama 3.1 8B Instruct

lambda logo
Lambda
Input Price:Input: $0.03/1MOutput Price:Output: $0.03/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.05/1M
groq logo
Groq
Input Price:Input: $0.05/1MOutput Price:Output: $0.08/1M
sambanova logo
Sambanova
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M
cerebras logo
Cerebras
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
together logo
Together
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.22/1MOutput Price:Output: $0.22/1M

Qwen3 VL 30B A3B Instruct

novita logo
Novita
Input Price:Input: $0.20/1MOutput Price:Output: $0.70/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.29/1MOutput Price:Output: $0.99/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Less expensive input tokens
Less expensive output tokens
Alibaba Cloud / Qwen Team

Qwen3 VL 30B A3B Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Higher GPQA score (70.4% vs 30.4%)
Higher IFEval score (85.8% vs 80.4%)
Higher MMLU score (85.0% vs 69.4%)
Higher MMLU-Pro score (77.8% vs 48.3%)

Detailed Comparison

AI Model Comparison Table
Feature
Meta
Llama 3.1 8B Instruct
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Instruct

FAQ

Common questions about Llama 3.1 8B Instruct vs Qwen3 VL 30B A3B Instruct.

Which is better, Llama 3.1 8B Instruct or Qwen3 VL 30B A3B Instruct?

Qwen3 VL 30B A3B Instruct significantly outperforms across most benchmarks. Llama 3.1 8B Instruct is made by Meta and Qwen3 VL 30B A3B 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 8B Instruct compare to Qwen3 VL 30B A3B Instruct in benchmarks?

Llama 3.1 8B Instruct scores GSM-8K (CoT): 84.5%, ARC-C: 83.4%, API-Bank: 82.6%, IFEval: 80.4%, BFCL: 76.1%. Qwen3 VL 30B A3B Instruct scores DocVQAtest: 95.0%, ScreenSpot: 94.7%, OCRBench: 90.3%, MMLU-Redux: 88.4%, MMBench-V1.1: 87.0%.

Is Llama 3.1 8B Instruct cheaper than Qwen3 VL 30B A3B Instruct?

Llama 3.1 8B Instruct is 6.7x cheaper for input tokens. Llama 3.1 8B Instruct costs $0.03/M input and $0.03/M output via lambda. Qwen3 VL 30B A3B Instruct costs $0.20/M input and $0.70/M output via novita.

What are the context window sizes for Llama 3.1 8B Instruct and Qwen3 VL 30B A3B Instruct?

Llama 3.1 8B Instruct supports 131K tokens and Qwen3 VL 30B A3B Instruct supports 131K 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 8B Instruct and Qwen3 VL 30B A3B Instruct?

Key differences include input pricing ($0.03 vs $0.20/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 8B Instruct and Qwen3 VL 30B A3B Instruct?

Llama 3.1 8B Instruct is developed by Meta and Qwen3 VL 30B A3B Instruct is developed by Alibaba Cloud / Qwen Team.