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Qwen3 30B A3B Instruct 2507 vs Qwen3 8B

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 Qwen3 30B A3B Instruct 2507 and Qwen3 8B.

Alibaba

Qwen3 30B A3B Instruct 2507

Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and...

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Alibaba

Qwen3 8B

Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math,...

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Technical Specifications

SpecificationQwen3 30B A3B Instruct 2507Qwen3 8B
ProviderAlibabaAlibaba
Context Window131,072 tokens131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-07-292025-04-28

API Pricing Comparison

Input Price per Million Tokens

Qwen3 30B A3B Instruct 2507

$0.05

Qwen3 8B

$0.12

Output Price per Million Tokens

Qwen3 30B A3B Instruct 2507

$0.19

Qwen3 8B

$0.46

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Benchmark Performance Metrics

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

Qwen3 30B A3B Instruct 2507 Quirks & Gotchas

No developer gotchas reported.

Qwen3 8B Quirks & Gotchas

No developer gotchas reported.