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Llama 3.1 8B vs Qwen3 VL 30B A3B Thinking

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Llama 3.1 8B and Qwen3 VL 30B A3B Thinking.

Meta

Llama 3.1 8B

Llama 3.1 8B is Meta's lightweight open-weight model from the Llama 3.1 generation, optimized for efficient deployment on consumer hardware and edge devices. Despite its compact 8-billion-parameter size, it delivers strong performance on instruction following, text summarization, and lightweight coding tasks. Lllama 3.1 8B is the most downloaded model in the Llama family and runs efficiently on laptops, single GPUs, and CPU via quantization โ€” making it the default choice for on-device AI applications and local prototyping.

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Alibaba

Qwen3 VL 30B A3B Thinking

Qwen3-VL-30B-A3B-Thinking is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Thinking variant enhances reasoning in STEM, math, and complex tasks. It excels...

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Technical Specifications

SpecificationLlama 3.1 8BQwen3 VL 30B A3B Thinking
ProviderMetaAlibaba
Context Window131,072 tokens131,072 tokens
Agent Suitability74/100N/A
Time to First Token (TTFT)80 msN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-07-232025-10-06

API Pricing Comparison

Input Price per Million Tokens

Llama 3.1 8B

$0.04

Qwen3 VL 30B A3B Thinking

$0.13

Output Price per Million Tokens

Llama 3.1 8B

$0.04

Qwen3 VL 30B A3B Thinking

$1.56

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

Llama 3.1 8B Quirks & Gotchas

  • โ–ธPerfect for CPU/edge deployment โ€” runs on Raspberry Pi with quantization
  • โ–ธLimited tool calling vs larger models โ€” best for simple classification and chat

Qwen3 VL 30B A3B Thinking Quirks & Gotchas

No developer gotchas reported.