The first listed parameter quantities are 8B and 32B; the larger quantity is 4× the smaller. Total and active MoE parameters are not directly equivalent.
The catalog release dates are April 2025 and April 2025, about 0 months apart at the precision supplied.
Cost example: 1M input and 1M output tokens
A cost example for 1M input plus 1M output tokens cannot be calculated reliably because separate numeric input and output rates are not listed for both models.
Choose Qwen3 8B if…
Choose Qwen3 8B when your task aligns with catalog-listed uses or strengths such as Fast everyday coding assistance in Python, JS, and TypeScript, Multilingual chatbots targeting Asian and African markets, Edge deployment and cost-sensitive production APIs, Student homework help across 119 languages.
Choose Qwen3 32B if…
Choose Qwen3 32B when your task aligns with catalog-listed uses or strengths such as Production coding assistants for enterprise software teams, Mathematical reasoning and data science, Complex document analysis and long-form reporting, Multilingual enterprise applications.
Open source — free to download. API access via third-party providers ~$0.05-0.15/MTok
Open source — free. Third-party API ~$0.14-0.30/MTok
Listed input/output cost per 1M tokens
Separate numeric input/output rates not listed
input $0.3, output $0.7 per 1M tokens
License
Apache 2.0
Apache 2.0
Coding support
Listed
Listed
Reasoning support
Listed
Listed
Vision input
Not listed
Not listed
Multimodal
Not listed
Not listed
Open weights
Yes
Yes
Benchmark: MMLU
87.5%
92.0%
Benchmark: HumanEval
85.6%
92.7%
Benchmark: MATH
88.0%
94.0%
Figures are transcribed from LITHOVEX model records. Benchmark versions and evaluation setups may differ; pricing and specifications can change. Check each provider's current documentation before making a decision.
Frequently Asked Questions
What is different between Qwen3 8B and Qwen3 32B?
Qwen3 8B: 128K tokens; Qwen3 32B: 128K tokens. The listed context-window values are equal. Qwen3 8B is listed for coding, reasoning, long-context tasks; Qwen3 32B is listed for coding, reasoning, agentic workflows, long-context tasks. Shared catalog benchmark entries: MMLU: Qwen3 8B 87.5%; Qwen3 32B 92.0%; HumanEval: Qwen3 8B 85.6%; Qwen3 32B 92.7%; MATH: Qwen3 8B 88.0%; Qwen3 32B 94.0%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.
What benchmark values are listed for Qwen3 8B and Qwen3 32B?
MMLU: Qwen3 8B 87.5%; Qwen3 32B 92.0%; HumanEval: Qwen3 8B 85.6%; Qwen3 32B 92.7%; MATH: Qwen3 8B 88.0%; Qwen3 32B 94.0%. The catalog values may use different versions and evaluation setups, so they are reference points rather than a controlled head-to-head result.
Which model has the larger listed context window?
Qwen3 8B: 128K tokens; Qwen3 32B: 128K tokens. The listed context-window values are equal.
What are the listed costs per million tokens for Qwen3 8B and Qwen3 32B?
Qwen3 8B: Separate numeric input/output rates not listed (Open source — free to download. API access via third-party providers ~$0.05-0.15/MTok). Qwen3 32B: input $0.3, output $0.7 per 1M tokens (Open source — free. Third-party API ~$0.14-0.30/MTok). Where separate numeric input and output rates are available, the worked example uses 1M input plus 1M output tokens. Confirm current terms with each provider.
How far apart are the listed release dates for Qwen3 8B and Qwen3 32B?
The catalog lists Qwen3 8B as April 2025 and Qwen3 32B as April 2025, about 0 months apart at the precision supplied.
When was the comparison data last updated?
The model catalog records 2026-10-16 as its data update date. Provider specifications and prices may have changed since then.
How should I choose between Qwen3 8B and Qwen3 32B?
Compare the listed specifications and capabilities, review the benchmark notes, then test both with the same representative prompt for your task. This page does not claim a universal winner.