AlibabaOpen weightsApril 28, 2025

Qwen3 32B

Intelligence, Performance & Price Analysis

Source:Artificial Analysis scrapeType:Open weights
Intelligence
12

score

Qwen3 32B (Reasoning) scores 12 on the Artificial Analysis Intelligence Index, placing it above …

vs class avg: 9

Speed
93.2

output tokens/sec

Qwen3 32B (Reasoning) generates output at 93.2 tokens per second (based on Alibaba's API), which is …

Latency
2.62s

TTFT

Qwen3 32B (Reasoning) has a time to first token (TTFT) of 2.62s (based on Alibaba's API), which is …

Input Price#127/130
$0.70

/ 1M tokens

Qwen3 32B (Reasoning) costs $0.70 per 1M input tokens (at the higher end, median: $0.18) and $8. …

Output Price#129/130
$8.40

/ 1M tokens

Qwen3 32B (Reasoning) costs $0.70 per 1M input tokens (at the higher end, median: $0.18) and $8. …

Decision Overview

Ethen's intelligence-driven routing assessment for this model

Overall verdict

Capable everyday model

Good for routine tasks; route complex reasoning and premium workloads to stronger models.

Best for

  • Routine Q&A
  • Content summarization
  • Classification
  • Light coding
  • High-value tasks where quality outweighs cost

Weak or unsuitable

  • Complex reasoning
  • Agentic workflows
  • Research-grade analysis
  • Routine high-volume generation
  • Simple extraction or labeling

Routing recommendation

1

Lower-cost models for repetitive or high-volume work

2

Cache-backed reuse for repeated prompts

Cost pressure

Premium pricing — $0.70 / M input, $8.40 / M output. Use cheaper routes for repetitive or low-risk work.

Model-fit matrix

Use this model where capability pays for itself; route away where volume, latency, or budget dominate.

Use caseFitReasonRouting note
Complex reasoning & agentic workflowsModerateIntelligence score 12 handles routine reasoning but may struggle with open-ended agentic tasks.Route simpler sub-tasks here; keep hard reasoning on a stronger model.
High-volume chat & customer-facingStrongOutput speed 93.2 tokens/sec is adequate for chat.Suitable for chat; monitor latency under concurrent load.
Latency-sensitive applicationsModerateTTFT 2.62s — latency may be noticeable in interactive use.Consider routing latency-critical paths to faster models.
Cost-sensitive pipelinesModerateOutput pricing at $8.40 is premium. Route high-volume simple tasks to cheaper alternatives.Use only for high-value tasks; route simple queries to budget models.

Cost pressure

High

Pricing is premium — input $0.70, output $8.40. This model is expensive for high-volume or output-heavy workloads.

Cheaper substitutes

  • Lower-cost models for repetitive or high-volume work
  • Cache-backed reuse for repeated prompts

Route away when

  • Output-heavy tasks
  • High-frequency chat at scale
  • Simple queries that cheaper models handle well

Highlights

Key benchmark results at a glance.

Intelligence

Intelligence position

Open section

Artificial Analysis Intelligence Index · Higher is better · Evaluation results measured independently by Artificial Analysis

Qwen3 32B (Reasoning) scores 12 on the Artificial Analysis Intelligence Index, placing it above average among other open weight models of similar size (median: 9).

0204060Claude Fable 5 (with fallback): 6060AClaude Fable 5 (with fal…GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)Gemini 3.5 Flash: 5050GGemini 3.5 FlashMiniMax-M3: 4444?MiniMax-M3DeepSeek V4 Pro (max): 4444DDeepSeek V4 Pro (max)Kimi K2.6: 4444KKimi K2.6Muse Spark: 4343?Muse SparkNemotron 3 Ultra: 3838NNemotron 3 UltraGrok 4.3 (high): 3838xGrok 4.3 (high)gpt-oss-120b (high): 2424AIgpt-oss-120b (high)Qwen3 32B: 1212QQwen3 32B

Speed

Speed position

Open section

Output tokens per second · Higher is better · Evaluation results measured independently by Artificial Analysis

Qwen3 32B (Reasoning) generates output at 93.2 tokens per second (based on Alibaba's API), which is below average compared to other open weight models of similar size (median: 101.0 t/s).

088175263350gpt-oss-120b (high): 314314AIgpt-oss-120b (high)Nemotron 3 Ultra: 250250NNemotron 3 UltraGLM-5.2 (max): 218218?GLM-5.2 (max)gpt-oss-20b (high): 195195AIgpt-oss-20b (high)Gemini 3.5 Flash: 192192GGemini 3.5 FlashMistral Small 3.1: 171171MiMistral Small 3.1Qwen3.6 35B A3B: 166166QQwen3.6 35B A3BGrok 4.3 (high): 164164xGrok 4.3 (high)Mistral Small 3.2: 147147MiMistral Small 3.2Qwen3 30B A3B 2507: 131131QQwen3 30B A3B 2507NVIDIA Nemotron 3 Nano: 110110NNVIDIA Nemotron 3 NanoMiniMax-M3: 9999?MiniMax-M3Qwen3 32B: 9393QQwen3 32B

Context, Cost & Pricing

Price/value position

Open section

Weighted average cost (USD) per Intelligence Index task · Lower is better · Evaluation results measured independently by Artificial Analysis

Pricing is premium — input $0.70, output $8.40. This model is expensive for high-volume or output-heavy workloads.

$0.00$1.00$2.00$3.00$4.00$5.00DeepSeek V4 Pro (max): $0.04$0.04DDeepSeek V4 Pro (max)gpt-oss-120b (high): $0.06$0.06AIgpt-oss-120b (high)MiniMax-M3: $0.12$0.12?MiniMax-M3Grok 4.3 (high): $0.14$0.14xGrok 4.3 (high)Nemotron 3 Ultra: $0.24$0.24NNemotron 3 UltraKimi K2.6: $0.35$0.35KKimi K2.6GLM-5.2 (max): $0.37$0.37?GLM-5.2 (max)Gemini 3.5 Flash: $0.59$0.59GGemini 3.5 FlashGPT-5.5 (xhigh): $0.86$0.86AIGPT-5.5 (xhigh)Claude Fable 5 (with fallback): $2.75$2.75AClaude Fable 5 (with fal…

Intelligence & Quality

Benchmark scores and quality indices measuring model capability.

AA-Omniscience Index

AA-Omniscience Index (higher is better) measures knowledge reliability and hallucination. It rewards correct answers, penalizes hallucinations, and has no penalty for refusing to answer. Scores range from -100 to 100, where 0 means as many correct as incorrect answers, and negative scores mean more incorrect than correct. · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

-100-50050Claude Fable 5 (with fallback): 4040AClaude Fable 5 (with fal…Gemini 3.5 Flash: 2323GGemini 3.5 FlashGPT-5.5 (xhigh): 2020AIGPT-5.5 (xhigh)Grok 4.3 (high): 1818xGrok 4.3 (high)Kimi K2.6: 6.46.4KKimi K2.6Muse Spark: 4.14.1?Muse SparkGLM-5.2 (max): 44?GLM-5.2 (max)MiniMax-M3: 1.41.4?MiniMax-M3Nemotron 3 Ultra: -0.8-0.8NNemotron 3 UltraDeepSeek V4 Pro (max): -10-10DDeepSeek V4 Pro (max)Qwen3 32B: -50.5-50.5QQwen3 32B

Artificial Analysis Intelligence Index by Open Weights / Proprietary

Artificial Analysis Intelligence Index v4.1 incorporates 9 evaluations: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0204060Claude Fable 5 (with fallback): 6060AClaude Fable 5 (with fal…GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)Gemini 3.5 Flash: 5050GGemini 3.5 FlashMiniMax-M3: 4444?MiniMax-M3DeepSeek V4 Pro (max): 4444DDeepSeek V4 Pro (max)Kimi K2.6: 4444KKimi K2.6Muse Spark: 4343?Muse SparkNemotron 3 Ultra: 3838NNemotron 3 UltraGrok 4.3 (high): 3838xGrok 4.3 (high)

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index v4.1 incorporates 9 evaluations: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0204060Claude Fable 5 (with fallback): 6060AClaude Fable 5 (with fal…GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)Gemini 3.5 Flash: 5050GGemini 3.5 FlashMiniMax-M3: 4444?MiniMax-M3DeepSeek V4 Pro (max): 4444DDeepSeek V4 Pro (max)Kimi K2.6: 4444KKimi K2.6Muse Spark: 4343?Muse SparkNemotron 3 Ultra: 3838NNemotron 3 UltraGrok 4.3 (high): 3838xGrok 4.3 (high)

Artificial Analysis Openness Index: Score

Openness Index assesses model openness on a 0 to 100 normalized scale (higher is more open) · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

050100Nemotron 3 Ultra: 8383NNemotron 3 UltraNVIDIA Nemotron 3 Nano: 8383NNVIDIA Nemotron 3 NanoDeepSeek V4 Pro (max): 5050DDeepSeek V4 Pro (max)Magistral Small 1.2: 5050?Magistral Small 1.2GLM-5.2 (max): 4444?GLM-5.2 (max)Qwen3 30B A3B 2507: 4444QQwen3 30B A3B 2507gpt-oss-120b (high): 3939AIgpt-oss-120b (high)Qwen3.6 27B: 3939QQwen3.6 27BQwen3.6 35B A3B: 3939QQwen3.6 35B A3BQwen3.6 27B: 3939QQwen3.6 27B

Intelligence

Artificial Analysis Intelligence Index · Higher is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0204060Claude Fable 5 (with fallback): 6060AClaude Fable 5 (with fal…GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)Gemini 3.5 Flash: 5050GGemini 3.5 FlashMiniMax-M3: 4444?MiniMax-M3DeepSeek V4 Pro (max): 4444DDeepSeek V4 Pro (max)Kimi K2.6: 4444KKimi K2.6Muse Spark: 4343?Muse SparkNemotron 3 Ultra: 3838NNemotron 3 UltraGrok 4.3 (high): 3838xGrok 4.3 (high)Qwen3 32B: 1212QQwen3 32B

Speed & Throughput

Output tokens per second and generation throughput.

Output Speed

Output tokens per second · Higher is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

088175263350gpt-oss-120b (high): 314314AIgpt-oss-120b (high)Nemotron 3 Ultra: 250250NNemotron 3 UltraGLM-5.2 (max): 218218?GLM-5.2 (max)gpt-oss-20b (high): 195195AIgpt-oss-20b (high)Gemini 3.5 Flash: 192192GGemini 3.5 FlashMistral Small 3.1: 171171MiMistral Small 3.1Qwen3.6 35B A3B: 166166QQwen3.6 35B A3BGrok 4.3 (high): 164164xGrok 4.3 (high)Mistral Small 3.2: 147147MiMistral Small 3.2Qwen3 30B A3B 2507: 131131QQwen3 30B A3B 2507Qwen3 32B: 9393QQwen3 32B

Speed

Output tokens per second · Higher is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

088175263350gpt-oss-120b (high): 314314AIgpt-oss-120b (high)Nemotron 3 Ultra: 250250NNemotron 3 UltraGLM-5.2 (max): 218218?GLM-5.2 (max)Gemini 3.5 Flash: 192192GGemini 3.5 FlashGrok 4.3 (high): 164164xGrok 4.3 (high)MiniMax-M3: 9999?MiniMax-M3Qwen3 32B: 9393QQwen3 32BGPT-5.5 (xhigh): 8888AIGPT-5.5 (xhigh)Kimi K2.6: 7676KKimi K2.6DeepSeek V4 Pro (max): 7272DDeepSeek V4 Pro (max)

Latency & Response Time

Time to first token and end-to-end response latency.

End-to-End Response Time

Seconds to output 500 tokens, including reasoning model 'thinking' time · Lower is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0s15s30s45s60sGemma 4 31B: 15s15s?Gemma 4 31BQwen3.5 9B: 8.4s8.4sQQwen3.5 9BQwen3.6 27B: 8.3s8.3sQQwen3.6 27BDevstral Small 2: 7.4s7.4s?Devstral Small 2Kimi K2.6: 6.6s6.6sKKimi K2.6Ministral 3 14B: 6.4s6.4s?Ministral 3 14BMagistral Small 1.2: 6.2s6.2s?Magistral Small 1.2Qwen3 32B: 5.4s5.4sQQwen3 32BMiniMax-M3: 5s5s?MiniMax-M3NVIDIA Nemotron 3 Nano: 4.6s4.6sNNVIDIA Nemotron 3 Nano

Latency: Time To First Answer Token

Seconds to first answer token received · Accounts for reasoning model 'thinking' time · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0s15s30s45s60sKimi K2.6: 58s58sKKimi K2.6Gemma 4 31B: 51s51s?Gemma 4 31BQwen3.5 9B: 34s34sQQwen3.5 9BQwen3.6 35B A3B: 33s33sQQwen3.6 35B A3BMagistral Small 1.2: 25s25s?Magistral Small 1.2Qwen3 32B: 21s21sQQwen3 32BMiniMax-M3: 20s20s?MiniMax-M3NVIDIA Nemotron 3 Nano: 18s18sNNVIDIA Nemotron 3 NanoQwen3 30B A3B 2507: 15s15sQQwen3 30B A3B 2507gpt-oss-20b (high): 10s10sAIgpt-oss-20b (high)

Context, Cost & Pricing

Context window size, cost per task, and token pricing.

Context Window

Context window: tokens limit · Higher is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0250k500k750k1MGemini 3.5 Flash: 1M1MGGemini 3.5 FlashClaude Fable 5 (with fallback): 1M1MAClaude Fable 5 (with fal…GLM-5.2 (max): 1M1M?GLM-5.2 (max)DeepSeek V4 Pro (max): 1M1MDDeepSeek V4 Pro (max)Grok 4.3 (high): 1M1MxGrok 4.3 (high)MiniMax-M3: 1M1M?MiniMax-M3NVIDIA Nemotron 3 Nano: 1M1MNNVIDIA Nemotron 3 NanoGPT-5.5 (xhigh): 922k922kAIGPT-5.5 (xhigh)Nemotron 3 Ultra: 262k262kNNemotron 3 UltraMuse Spark: 262k262k?Muse Spark

Cost per Intelligence Index Task

Weighted average cost (USD) per Artificial Analysis Intelligence Index task, segmented by token type. Lower is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

00.51Gemini 3.5 Flash: 0.10.1GGemini 3.5 FlashQwen3.6 27B: 00QQwen3.6 27BGLM-5.2 (max): 00?GLM-5.2 (max)Qwen3.6 27B: 00QQwen3.6 27BKimi K2.6: 00KKimi K2.6Qwen3.6 35B A3B: 00QQwen3.6 35B A3BNemotron 3 Ultra: 00NNemotron 3 UltraMiniMax-M3: 00?MiniMax-M3Grok 4.3 (high): 00xGrok 4.3 (high)Magistral Small 1.2: 00?Magistral Small 1.2

Cost per Task

Weighted average cost (USD) per Intelligence Index task · Lower is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

$0.00$1.00$2.00$3.00$4.00$5.00Claude Fable 5 (with fallback): $2.75$2.75AClaude Fable 5 (with fal…GPT-5.5 (xhigh): $0.86$0.86AIGPT-5.5 (xhigh)Gemini 3.5 Flash: $0.59$0.59GGemini 3.5 FlashGLM-5.2 (max): $0.37$0.37?GLM-5.2 (max)Kimi K2.6: $0.35$0.35KKimi K2.6Nemotron 3 Ultra: $0.24$0.24NNemotron 3 UltraGrok 4.3 (high): $0.14$0.14xGrok 4.3 (high)MiniMax-M3: $0.12$0.12?MiniMax-M3gpt-oss-120b (high): $0.06$0.06AIgpt-oss-120b (high)DeepSeek V4 Pro (max): $0.04$0.04DDeepSeek V4 Pro (max)

Cost to Run Artificial Analysis Intelligence Index

Cost (USD) to run all evaluations in the Artificial Analysis Intelligence Index · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

050100150200Qwen3.6 35B A3B: 165165QQwen3.6 35B A3BGemini 3.5 Flash: 114114GGemini 3.5 FlashQwen3.6 27B: 8888QQwen3.6 27BNemotron 3 Ultra: 3434NNemotron 3 UltraGLM-5.2 (max): 3333?GLM-5.2 (max)Qwen3.6 27B: 2828QQwen3.6 27BKimi K2.6: 2525KKimi K2.6MiniMax-M3: 1515?MiniMax-M3Grok 4.3 (high): 1313xGrok 4.3 (high)Magistral Small 1.2: 8.28.2?Magistral Small 1.2

Pricing: Cache Hit, Input, and Output

Price (USD per M Tokens) · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0250k500k750k1MQwen3 32B: 9.19.1QQwen3 32BGLM-5.2 (max): 6.16.1?GLM-5.2 (max)Kimi K2.6: 5.15.1KKimi K2.6Qwen3.6 27B: 4.24.2QQwen3.6 27BQwen3.6 27B: 4.24.2QQwen3.6 27BGrok 4.3 (high): 44xGrok 4.3 (high)Nemotron 3 Ultra: 3.63.6NNemotron 3 UltraQwen3 30B A3B 2507: 2.62.6QQwen3 30B A3B 2507Magistral Small 1.2: 22?Magistral Small 1.2Qwen3.6 35B A3B: 1.71.7QQwen3.6 35B A3Binputoutputcache Hit

Time per Intelligence Index Task

Weighted average decode time (minutes) per task; excludes TTFT and overhead time · Lower is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

02468Qwen3.6 27B: 6.56.5QQwen3.6 27BGemma 4 31B: 5.55.5?Gemma 4 31BClaude Fable 5 (with fallback): 4.84.8AClaude Fable 5 (with fal…MiniMax-M3: 3.93.9?MiniMax-M3NVIDIA Nemotron 3 Nano: 3.23.2NNVIDIA Nemotron 3 NanoGPT-5.5 (xhigh): 33AIGPT-5.5 (xhigh)Qwen3.6 27B: 33QQwen3.6 27BGLM-5.2 (max): 2.82.8?GLM-5.2 (max)Qwen3.6 35B A3B: 2.62.6QQwen3.6 35B A3BQwen3 30B A3B 2507: 2.32.3QQwen3 30B A3B 2507

Architecture & Scale

Model size, parameters, and architectural details.

Model Size: Total and Active Parameters

Comparison between total model parameters and parameters active during inference · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0250k500k750k1MDeepSeek V4 Pro (max): 1.6k1.6kDDeepSeek V4 Pro (max)Kimi K2.6: 1k1kKKimi K2.6GLM-5.2 (max): 753753?GLM-5.2 (max)Nemotron 3 Ultra: 550550NNemotron 3 UltraMiniMax-M3: 428428?MiniMax-M3gpt-oss-120b (high): 117117AIgpt-oss-120b (high)Qwen3.6 35B A3B: 3636QQwen3.6 35B A3BQwen3 32B: 3333QQwen3 32BNVIDIA Nemotron 3 Nano: 3232NNVIDIA Nemotron 3 NanoGemma 4 31B: 3131?Gemma 4 31Bpassive Paramsactive Params

Specifications

Technical Specifications

Qwen3 32B (Reasoning) scores 12 on the Artificial Analysis Intelligence Index, placing it above average among other open weight models of similar size (median: 9). Qwen3 32B (Reasoning) generates output at 93.2 tokens per second (based on Alibaba's API), which is below average compared to other open weight models of similar size (median: 101.0 t/s). Qwen3 32B (Reasoning) costs $0.70 per 1M input tokens (at the higher end, median: $0.18) and $8.40 per 1M output tokens (at the higher end, median: $0.40), based on Alibaba's API.

Qwen3 32B

Model type
Open weights
Reasoning
Yes
Input modalities
Qwen3 32B (Reasoning) supports text input.
Output modalities
Qwen3 32B (Reasoning) supports text output.
Context window
33k tokens
Open weights / source
Yes, Qwen3 32B (Reasoning) is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Parameters
Qwen3 32B (Reasoning) has 32.8 billion parameters.
License
Qwen3 32B (Reasoning) is released under the Apache 2.0 license. This license allows commercial use.
API availability
Yes, Qwen3 32B (Reasoning) is available via API through 6 providers.

Methodology & Provenance

This page is rendered from the normalized profile and page JSON for Qwen3 32B.

Benchmark values are preserved as normalized; only layout, disclosure ordering, and typography are adjusted for readability.

Frequently Asked Questions