Qwen3 4B (Reasoning) Compare Qwen3 30B A3B

Qwen3 4B (Reasoning)
vs
Qwen3 30B A3B

Comparing Qwen3 4B (Reasoning) and Qwen3 30B A3B, which one is better? We will compare Qwen3 4B (Reasoning) and Qwen3 30B A3B, including model features, token pricing, API costs, performance benchmarks, and actual capabilities to help you choose the LLM that suits your needs

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Qwen3 4B (Reasoning)

Qwen3 30B A3B

Qwen3 4B (Reasoning)

Qwen3 30B A3B

Qwen3-30B-A3B is a relatively small Mixture-of-Experts (MoE) model in Alibaba Cloud's Qwen3 series, with a total of 30.5 billion parameters and 3.3 billion active parameters. This model features a hybrid thinking/non-thinking mode, supports 119 languages, and has enhanced agent capabilities. Its goal is to outperform previous models such as QwQ-32B while significantly reducing the number of active parameters.

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Input and output token cost comparison

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Performance metrics from various standardized tests and evaluations

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Qwen3 4B (Reasoning)vsQwen3 30B A3B

Basic ParametersCompare

PricingCompare

Benchmark ScoresCompare

Qwen3 4B (Reasoning)
vs
Qwen3 30B A3B