upcube
Alibaba•Open weights•April 28, 2025

Qwen3 14B

Intelligence, Performance & Price Analysis

Source:Artificial Analysis scrapeType:Open weights
Intelligence
10

score

Qwen3 14B (Reasoning) scores 10 on the Artificial Analysis Intelligence Index, placing it above …

vs class avg: 9

Speed
57.6

output tokens/sec

Qwen3 14B (Reasoning) generates output at 57.6 tokens per second (based on Alibaba's API), which is …

Latency
2.82s

TTFT

Qwen3 14B (Reasoning) has a time to first token (TTFT) of 2.82s (based on Alibaba's API), which is …

Input Price#118/130
$0.35

/ 1M tokens

Qwen3 14B (Reasoning) costs $0.35 per 1M input tokens (at the higher end, median: $0.18) and $4. …

Output Price#128/130
$4.20

/ 1M tokens

Qwen3 14B (Reasoning) costs $0.35 per 1M input tokens (at the higher end, median: $0.18) and $4. …

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

Weak or unsuitable

  • Complex reasoning
  • Agentic workflows
  • Research-grade analysis
  • Predictable high-volume throughput

Routing recommendation

1

Cheaper routes for predictable extraction, labeling, or summarization

2

Cache-backed reuse for repeated prompts

Cost pressure

Moderate pricing — $0.35 / M input, $4.20 / M output. Costs are manageable, but volume should still be reviewed.

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 10 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 57.6 tokens/sec is adequate for chat.Suitable for chat; monitor latency under concurrent load.
Latency-sensitive applicationsModerateTTFT 2.82s — latency may be noticeable in interactive use.Consider routing latency-critical paths to faster models.
Cost-sensitive pipelinesModerateOutput pricing at $4.20 is premium. Route high-volume simple tasks to cheaper alternatives.Use only for high-value tasks; route simple queries to budget models.

Cost pressure

Medium

Pricing is moderate — input $0.35, output $4.20. Costs accumulate at volume but are manageable for valuable tasks.

Cheaper substitutes

  • Cheaper routes for predictable extraction, labeling, or summarization

Route away when

  • Predictable high-volume throughput
  • Non-critical classification and extraction

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 14B (Reasoning) scores 10 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 14B: 1010QQwen3 14B

Speed

Speed position

Open section

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

Qwen3 14B (Reasoning) generates output at 57.6 tokens per second (based on Alibaba's API), which is at the lower end 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)Qwen3 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 moderate — input $0.35, output $4.20. Costs accumulate at volume but are manageable for valuable tasks.

$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.

-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 14B: -49.2-49.2QQwen3 14B

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 14B: 1010QQwen3 14B

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)Qwen3 30B A3B 2507: 131131QQwen3 30B A3B 2507NVIDIA Nemotron 3 Nano: 110110NNVIDIA Nemotron 3 Nano

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-M3GPT-5.5 (xhigh): 8888AIGPT-5.5 (xhigh)Kimi K2.6: 7676KKimi K2.6DeepSeek V4 Pro (max): 7272DDeepSeek V4 Pro (max)Claude Fable 5 (with fallback): 7171AClaude Fable 5 (with fal…Qwen3 14B: 5858QQwen3 14B

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 14B: 8.7s8.7sQQwen3 14BQwen3.5 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-M3

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 14B: 35s35sQQwen3 14BQwen3.5 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 2507

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.

00.51GPT-5.5 (xhigh): 0.10.1AIGPT-5.5 (xhigh)Gemini 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)

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 A3BGPT-5.5 (xhigh): 132132AIGPT-5.5 (xhigh)Gemini 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)

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 14B: 4.54.5QQwen3 14BQwen3.6 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 1.2inputoutputcache 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.

02468DeepSeek V4 Pro (max): 6.86.8DDeepSeek V4 Pro (max)Qwen3.6 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 A3B

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 31BQwen3 14B: 1515QQwen3 14Bpassive Paramsactive Params

Specifications

Technical Specifications

Qwen3 14B (Reasoning) scores 10 on the Artificial Analysis Intelligence Index, placing it above average among other open weight models of similar size (median: 9). Qwen3 14B (Reasoning) generates output at 57.6 tokens per second (based on Alibaba's API), which is at the lower end compared to other open weight models of similar size (median: 101.0 t/s). Qwen3 14B (Reasoning) costs $0.35 per 1M input tokens (at the higher end, median: $0.18) and $4.20 per 1M output tokens (at the higher end, median: $0.40), based on Alibaba's API.

Qwen3 14B

Model type
Open weights
Reasoning
Yes
Input modalities
Qwen3 14B (Reasoning) supports text input.
Output modalities
Qwen3 14B (Reasoning) supports text output.
Context window
33k tokens
Open weights / source
Yes, Qwen3 14B (Reasoning) is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Parameters
Qwen3 14B (Reasoning) has 14.8 billion parameters.
License
Qwen3 14B (Reasoning) is released under the Apache 2.0 license. This license allows commercial use.
API availability
Yes, Qwen3 14B (Reasoning) is available via API through 2 providers.

Methodology & Provenance

This page is rendered from the normalized profile and page JSON for Qwen3 14B.

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

Frequently Asked Questions