Qwen3 32B: API Pricing, Context Window & Benchmarks
Qwen3 32B is a language model from Qwen, released in April 2025, with a 128K-token context window, and pricing from $0.100/M input and $0.300/M output.
Qwen3-32B is a large language model from Alibaba's Qwen3 series. It features 32.8 billion parameters, a 128k token context window, support for 119 languages, and hybrid thinking modes allowing switching between deep reasoning and fast
Qwen3 32B benchmarks
Rankings
Quality Tracker
Qwen3 32B Performance Across Datasets
Scores sourced from the model's scorecard, paper, or official blog posts
llm-stats.com - Sat Aug 01 2026Qwen3 32B pricing
Providers
Qwen3 32B starts at $0.100 per million input tokens and $0.300 per million output tokens via DeepInfra. See all 3 providers below with their per-token pricing, latency, throughput, and modality support.
| Provider | Input $/M | Output $/M | Context in / out | TTFT p50 / p95 s | Output avg / p5 c/s | Success 7d | Modalities in / out |
|---|---|---|---|---|---|---|---|
 DeepInfra | $0.100 | $0.300 | 128.0K/128.0K | 0.00/0.00 | 113/94 | 71.43%(7) | / |
 Novita | $0.100 | $0.440 | 128.0K/128.0K | 0.00/0.00 | —/— | 0.00%(4) | / |
 Sambanova | $0.400 | $0.800 | 128.0K/128.0K | —/1.08 | 328/— | — | / |
Cached input is the discounted price for prompt tokens served from a provider cache. TTFT is time to first token. Output is characters per second; p5 is the sustained floor exceeded by 95% of observed requests. Success is calculated from completed versus failed requests over the trailing seven days.
Qwen3 32B model size
Qwen3 32B has 32.8 billion parameters. See how it compares to other models in the same parameter range.
Qwen3 32B context window
Input and output token limits for Qwen3 32B, plus how it ranks on long-context understanding.
Qwen3 32B API
Run a request to see the response
Use it in your code
Billed at $0.10 input / $0.30 output per 1M tokens through the LLM Stats gateway.
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://gateway.llm-stats.com/v1"
)
response = client.chat.completions.create(
model="qwen3-32b",
messages=[
{"role": "user", "content": "What is machine learning?"}
]
)
print(response.choices[0].message.content)Need an API key? Create one above in the playground, or read the API documentation.
Qwen3 32B latency
Qwen3 32B time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.
Provider operational metrics
Time to first token, output throughput, and failed-request rate from live API traffic
Qwen3 32B examples
Recent arena outputs from Qwen3 32B, picked from the highest-ranked matchups.
Qwen3 32B license
Qwen3 32B is released under the Apache 2.0 license, which permits commercial use, has 32.8B parameters.
- License
- Apache 2.0
- Commercial use allowed
- Parameters
- 32.8B
Apache License 2.0 - allows commercial use
Qwen3 32B resources
Official sources for Qwen3 32B: official playground, official launch post, source repository, model weights.
Qwen3 32B vs other models
The most-compared alternatives to Qwen3 32B are Llama 3.1 Nemotron Ultra 253B v1, Phi 4 Reasoning Plus, GPT-5.2. Open any pair side-by-side for benchmarks, pricing, context, and latency.
Models like Qwen3 32B
Models ranked just above and below Qwen3 32B by LLM Stats score.
FAQ
Common questions about Qwen3 32B.