Qwen: Qwen3 32B
Analysis Summary
Qwen3 32B is the strongest measured member of this Qwen3 group for technical workloads, with a 131,072-token context window, tool use, and function calling. Its reported mathematics, live coding, and general benchmark results are ahead of the smaller variants, although the overall reasoning and agentic indices remain well below current flagship models. Input is text-only.
It is well suited to technical SEO, schema and data transformations, code assistance, content audits, and structured workflows that benefit from a large working context. The low terminal and agentic results argue against giving it unrestricted access to production systems or relying on it for autonomous multi-step operations. Client-facing strategic writing should receive editorial review.
At $0.08 per million input tokens and $0.28 per million output tokens, it is an excellent volume candidate. Adopt it for validated technical automation and high-throughput structured work.
Assessed August 9, 2026
Editorial notes
Qwen3 32B provides a 131K context, strong mathematical results, tool use, and very low pricing for technical SEO and structured automation; its overall reasoning and agentic reliability are not flagship-level.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen3 32B provides a 131K context, strong mathematical results, tool use, and very low pricing for technical SEO and structured automation; its overall reasoning and agentic reliability are not flagship-level.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
11.4 Intelligence Index·15.3 Coding Index·1.8 Agentic Index·73 Math Index
How Qwen: Qwen3 32B compares
Qwen: Qwen3 32B ranks #260 of 432 AI models we track for overall intelligence, #160 of 205 for coding, #162 of 187 for agentic tasks. Its 131K-token context window is larger than 49% of the models we list. At $0.08 per million input tokens it is cheaper than 71% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.08 | $0.000080 |
| Output | $0.28 | $0.000280 |
What would Qwen: Qwen3 32B cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 743 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen: Qwen3 32B for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Qwen: Qwen3 32B
Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for..
Frequently asked questions about Qwen: Qwen3 32B
How much does Qwen: Qwen3 32B cost?
Qwen: Qwen3 32B costs $0.08 per million input tokens and $0.28 per million output tokens.
What is the context window of Qwen: Qwen3 32B?
Qwen: Qwen3 32B has a context window of 131,072 tokens (131K).
Is Qwen: Qwen3 32B good for coding?
On our coding benchmark index, Qwen: Qwen3 32B ranks #160 of 205 models, placing it in the broader range of the field for code generation and debugging.
What can Qwen: Qwen3 32B do?
Qwen: Qwen3 32B supports tool use and function calling.
Who created Qwen: Qwen3 32B?
Qwen: Qwen3 32B is developed by Qwen and was released on April 28, 2025.