Author's Description
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 tasks like math, coding, and logical inference, and a "non-thinking" mode for faster, general-purpose conversation. The model demonstrates strong performance in instruction-following, agent tool use, creative writing, and multilingual tasks across 100+ languages and dialects. It natively handles 32K token contexts and can extend to 131K tokens using YaRN-based scaling.
Key Specifications
Supported Parameters
This model supports the following parameters:
Features
This model supports the following features:
Performance Summary
Qwen3-32B demonstrates exceptional reliability, consistently providing usable responses with a 100th percentile ranking across benchmarks, indicating virtually no technical failures. While its speed tends to be slower, ranking in the 14th percentile, it offers competitive pricing, placing in the 57th percentile. The model excels in accuracy across several critical domains. It achieved perfect scores in both Ethics and General Knowledge, often being the most accurate model at its price point and among models of similar speed. Its performance in Coding (95.0% accuracy) and Reasoning (98.0% accuracy) is also very strong, again standing out for its accuracy relative to cost. Email Classification shows robust performance at 99.0% accuracy. The primary area for improvement is Instruction Following, where it achieved 55.7% accuracy, placing it in the 62nd percentile, suggesting room for enhancement in handling complex, multi-layered instructions. Overall, Qwen3-32B is a highly reliable and accurate model, particularly strong in knowledge-based and logical tasks, with competitive pricing, though its response times are generally longer.
Model Pricing
Current Pricing
Feature | Price (per 1M tokens) |
---|---|
Prompt | $0.1 |
Completion | $0.3 |
Price History
Available Endpoints
Provider | Endpoint Name | Context Length | Pricing (Input) | Pricing (Output) |
---|---|---|---|---|
DeepInfra
|
DeepInfra | qwen/qwen3-32b-04-28 | 40K | $0.1 / 1M tokens | $0.3 / 1M tokens |
Nebius
|
Nebius | qwen/qwen3-32b-04-28 | 40K | $0.1 / 1M tokens | $0.3 / 1M tokens |
Lambda
|
Lambda | qwen/qwen3-32b-04-28 | 40K | $0.1 / 1M tokens | $0.3 / 1M tokens |
Novita
|
Novita | qwen/qwen3-32b-04-28 | 40K | $0.1 / 1M tokens | $0.45 / 1M tokens |
Parasail
|
Parasail | qwen/qwen3-32b-04-28 | 40K | $0.018 / 1M tokens | $0.072 / 1M tokens |
GMICloud
|
GMICloud | qwen/qwen3-32b-04-28 | 32K | $0.1 / 1M tokens | $0.6 / 1M tokens |
Nebius
|
Nebius | qwen/qwen3-32b-04-28 | 40K | $0.2 / 1M tokens | $0.6 / 1M tokens |
Cerebras
|
Cerebras | qwen/qwen3-32b-04-28 | 131K | $0.4 / 1M tokens | $0.8 / 1M tokens |
SambaNova
|
SambaNova | qwen/qwen3-32b-04-28 | 32K | $0.4 / 1M tokens | $0.8 / 1M tokens |
Groq
|
Groq | qwen/qwen3-32b-04-28 | 131K | $0.29 / 1M tokens | $0.59 / 1M tokens |
Friendli
|
Friendli | qwen/qwen3-32b-04-28 | 131K | $0.15 / 1M tokens | $0.5 / 1M tokens |
Chutes
|
Chutes | qwen/qwen3-32b-04-28 | 40K | $0.018 / 1M tokens | $0.072 / 1M tokens |
Benchmark Results
Benchmark | Category | Reasoning | Free | Executions | Accuracy | Cost | Duration |
---|
Other Models by qwen
|
Released | Params | Context |
|
Speed | Ability | Cost |
---|---|---|---|---|---|---|---|
Qwen: Qwen3 30B A3B Instruct 2507 | Jul 29, 2025 | 30B | 131K |
Text input
Text output
|
★★★★ | ★★★★ | $$$ |
Qwen: Qwen3 235B A22B Thinking 2507 | Jul 25, 2025 | 235B | 131K |
Text input
Text output
|
★ | ★★★★ | $$$$$ |
Qwen: Qwen3 Coder | Jul 22, 2025 | 480B | 1M |
Text input
Text output
|
★★★★ | ★★★ | $$$ |
Qwen: Qwen3 235B A22B Instruct 2507 | Jul 21, 2025 | 235B | 262K |
Text input
Text output
|
★ | ★★★ | $$$ |
Qwen: Qwen3 30B A3B | Apr 28, 2025 | 30B | 40K |
Text input
Text output
|
★ | ★★★★★ | $$$$ |
Qwen: Qwen3 8B | Apr 28, 2025 | 8B | 128K |
Text input
Text output
|
★ | ★★★ | $$$ |
Qwen: Qwen3 14B | Apr 28, 2025 | 14B | 40K |
Text input
Text output
|
★★ | ★★★★★ | $$$ |
Qwen: Qwen3 235B A22B | Apr 28, 2025 | 235B | 40K |
Text input
Text output
|
★ | ★★★★ | $$$$ |
Qwen: Qwen2.5 VL 32B Instruct | Mar 24, 2025 | 32B | 128K |
Text input
Image input
Text output
|
★★ | ★★★ | $$$ |
Qwen: QwQ 32B | Mar 05, 2025 | 32B | 131K |
Text input
Text output
|
★ | ★★★ | $$$ |
Qwen: Qwen VL Plus | Feb 04, 2025 | — | 7K |
Text input
Image input
Text output
|
★★★★ | ★★ | $$$ |
Qwen: Qwen VL Max | Feb 01, 2025 | — | 7K |
Text input
Image input
Text output
|
★★★★★ | ★★★ | $$$$ |
Qwen: Qwen-Turbo | Feb 01, 2025 | — | 1M |
Text input
Text output
|
★★★★★ | ★★★★ | $$ |
Qwen: Qwen2.5 VL 72B Instruct | Feb 01, 2025 | 72B | 32K |
Text input
Image input
Text output
|
★★★★ | ★★★★ | $$ |
Qwen: Qwen-Plus | Feb 01, 2025 | — | 131K |
Text input
Text output
|
★★★ | ★★★★ | $$$ |
Qwen: Qwen-Max | Feb 01, 2025 | — | 32K |
Text input
Text output
|
★★★ | ★★★★ | $$$$ |
Qwen: QwQ 32B Preview | Nov 27, 2024 | 32B | 32K |
Text input
Text output
|
— | ★ | $$ |
Qwen2.5 Coder 32B Instruct | Nov 11, 2024 | ~500B | 32K |
Text input
Text output
|
★★★★★ | ★★★★★ | $ |
Qwen2.5 7B Instruct | Oct 15, 2024 | ~500B | 32K |
Text input
Text output
|
★ | ★★★ | $$ |
Qwen2.5 72B Instruct | Sep 18, 2024 | ~500B | 32K |
Text input
Text output
|
★★★ | ★★★ | $$$ |
Qwen: Qwen2.5-VL 7B Instruct | Aug 27, 2024 | ~500B | 32K |
Text input
Image input
Text output
|
★★★ | ★★★ | $$$ |
Qwen 2 72B Instruct | Jun 06, 2024 | ~500B | 32K |
Text input
Text output
|
★★★★ | ★★ | $$$$ |