Compare the listed model data for Qwen3 32B by Qwen and Qwen3.5 27B by Qwen. Benchmark and pricing records are not a controlled test and may change.
Data last updated: 2026-10-16. Verify current model details with each provider.
What the listed data says
Qwen3 32B: 128K tokens; Qwen3.5 27B: 128K tokens. The listed context-window values are equal. Qwen3 32B is listed for coding, reasoning, agentic workflows, long-context tasks; Qwen3.5 27B is listed for no specific capability flags. Shared catalog benchmark entries: MMLU: Qwen3 32B 92.0%; Qwen3.5 27B 91.8%; HumanEval: Qwen3 32B 92.7%; Qwen3.5 27B 91.3%; MATH: Qwen3 32B 94.0%; Qwen3.5 27B 94.5%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.
Catalog source links
Use these model and provider links to verify current specifications, pricing, and availability.
The first listed parameter quantities are 32B and 27B; the larger quantity is 1.19× the smaller. Total and active MoE parameters are not directly equivalent.
A release-date gap cannot be calculated from the catalog values (Qwen3 32B: April 2025; Qwen3.5 27B: 2025).
Cost example: 1M input and 1M output tokens
Using only the catalog's listed per-million-token rates, 1M input plus 1M output tokens costs about $1 for Qwen3 32B and $1 for Qwen3.5 27B. This excludes provider-specific discounts, caching, and other fees.
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.
Choose Qwen3.5 27B if…
Choose Qwen3.5 27B when your task aligns with catalog-listed uses or strengths such as Enterprise AI at accessible 27B scale with Qwen3.5 quality, Qwen3.5 improvements at 27B scale, Strong balance of capability and efficiency, Apache 2.0.
Catalog specifications for Qwen3 32B and Qwen3.5 27B
Specification
Qwen3 32B
Qwen3.5 27B
Provider
Qwen
Qwen
Parameters
32B
27B
Context window
128K tokens
128K tokens
Maximum output
Not listed
Not listed
Catalog pricing
Open source — free. Third-party API ~$0.14-0.30/MTok
Apache 2.0 — free
Listed input/output cost per 1M tokens
input $0.3, output $0.7 per 1M tokens
input $0.3, output $0.7 per 1M tokens
License
Apache 2.0
Apache 2.0
Coding support
Listed
Not listed
Reasoning support
Listed
Not listed
Vision input
Not listed
Not listed
Multimodal
Not listed
Not listed
Open weights
Yes
Yes
Benchmark: MMLU
92.0%
91.8%
Benchmark: HumanEval
92.7%
91.3%
Benchmark: MATH
94.0%
94.5%
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 32B and Qwen3.5 27B?
Qwen3 32B: 128K tokens; Qwen3.5 27B: 128K tokens. The listed context-window values are equal. Qwen3 32B is listed for coding, reasoning, agentic workflows, long-context tasks; Qwen3.5 27B is listed for no specific capability flags. Shared catalog benchmark entries: MMLU: Qwen3 32B 92.0%; Qwen3.5 27B 91.8%; HumanEval: Qwen3 32B 92.7%; Qwen3.5 27B 91.3%; MATH: Qwen3 32B 94.0%; Qwen3.5 27B 94.5%. 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 32B and Qwen3.5 27B?
MMLU: Qwen3 32B 92.0%; Qwen3.5 27B 91.8%; HumanEval: Qwen3 32B 92.7%; Qwen3.5 27B 91.3%; MATH: Qwen3 32B 94.0%; Qwen3.5 27B 94.5%. 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 32B: 128K tokens; Qwen3.5 27B: 128K tokens. The listed context-window values are equal.
What are the listed costs per million tokens for Qwen3 32B and Qwen3.5 27B?
Qwen3 32B: input $0.3, output $0.7 per 1M tokens (Open source — free. Third-party API ~$0.14-0.30/MTok). Qwen3.5 27B: input $0.3, output $0.7 per 1M tokens (Apache 2.0 — free). 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 32B and Qwen3.5 27B?
The catalog lists Qwen3 32B as April 2025 and Qwen3.5 27B as 2025; a release-date gap cannot be calculated from both records.
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 32B and Qwen3.5 27B?
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.