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OpenAI•Open weights•August 7, 2025

GPT-5 nano (high)

Intelligence, Performance & Price Analysis

Source:Artificial Analysis scrapeType:Open weights
Intelligence
20

score

GPT-5 nano (high) scores 20 (estimated) on the Artificial Analysis Intelligence Index, placing it …

vs class avg: 7

Speed
159.9

output tokens/sec

GPT-5 nano (high) generates output at 159.9 tokens per second (based on OpenAI's API), which is …

Latency
121.38s

TTFT

GPT-5 nano (high) has a time to first token (TTFT) of 121.38s (based on OpenAI's API), which is at …

Input Price
$0.05

/ 1M tokens

GPT-5 nano (high) costs $0.05 per 1M input tokens (better than average, median: $0.05) and $0. …

Output Price
$0.40

/ 1M tokens

GPT-5 nano (high) costs $0.05 per 1M input tokens (better than average, median: $0.05) and $0. …

Decision Overview

Ethen's intelligence-driven routing assessment for this model

Overall verdict

Strong general-purpose model

Suitable for most production tasks, but high-volume or repetitive work should still be compared against cheaper routes.

Best for

  • Code generation
  • Content analysis
  • Structured extraction
  • Customer-facing chat
  • Low-latency chat

Weak or unsuitable

  • Extremely long-context tasks
  • Ultra-low-latency requirements

Routing recommendation

1

Use the fit matrix to compare against cheaper routes when volume rises

Cost pressure

Competitive pricing — $0.05 / M input, $0.40 / M output. Cost pressure is low enough for sustained production use.

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 workflowsStrongIntelligence score 20 supports capable reasoning, but very hard tasks may benefit from higher-tier models.Good for most complex tasks; consider a frontier model for the hardest 10%.
High-volume chat & customer-facingExcellentOutput speed 159.9 tokens/sec and capable intelligence make this suitable for real-time chat at scale.Ideal for interactive chat; enable caching for repeated queries.
Latency-sensitive applicationsModerateTTFT 121.38s — latency may be noticeable in interactive use.Consider routing latency-critical paths to faster models.
Cost-sensitive pipelinesExcellentOutput pricing at $0.40 is very competitive for high-volume workloads.Excellent for budget-constrained pipelines; enable caching to reduce costs further.

Cost pressure

Low

Pricing is competitive — input $0.05, output $0.40. Suitable for sustained production use.

Cheaper substitutes

No cheaper substitute is supported by the current price data.

Route away when

  • Extreme scale where even low costs matter

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

GPT-5 nano (high) scores 20 (estimated) on the Artificial Analysis Intelligence Index, placing it well above average among other reasoning models in a similar price tier (median: 7).

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)GPT-5 nano (high): 2020AIGPT-5 nano (high)

Speed

Speed position

Open section

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

GPT-5 nano (high) generates output at 159.9 tokens per second (based on OpenAI's API), which is above average compared to other reasoning models in a similar price tier (median: 128.6 t/s).

0100200300400HyperNova 60B 2605: 353353?HyperNova 60B 2605gpt-oss-120b (high): 314314AIgpt-oss-120b (high)Nemotron 3 Ultra: 250250NNemotron 3 UltraGLM-5.2 (max): 218218?GLM-5.2 (max)Command A+: 196196?Command A+gpt-oss-20b (high): 195195AIgpt-oss-20b (high)Gemini 3.5 Flash: 192192GGemini 3.5 FlashMinistral 3 3B: 178178?Ministral 3 3BGrok 4.3 (high): 164164xGrok 4.3 (high)GPT-5 nano (high): 160160AIGPT-5 nano (high)Llama 3.1 8B: 144144MLlama 3.1 8BNVIDIA Nemotron 3 Nano: 110110NNVIDIA Nemotron 3 Nano

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 competitive — input $0.05, output $0.40. Suitable for sustained production use.

$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.

-40-200204060Claude 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 UltraCommand A+: -4-4?Command A+GPT-5 nano (high): -27.8-27.8AIGPT-5 nano (high)

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)GPT-5 nano (high): 2020AIGPT-5 nano (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)GPT-5 nano (high): 2020AIGPT-5 nano (high)

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)GPT-5 nano (high): 2020AIGPT-5 nano (high)

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.

0100200300400HyperNova 60B 2605: 353353?HyperNova 60B 2605gpt-oss-120b (high): 314314AIgpt-oss-120b (high)Nemotron 3 Ultra: 250250NNemotron 3 UltraGLM-5.2 (max): 218218?GLM-5.2 (max)Command A+: 196196?Command A+gpt-oss-20b (high): 195195AIgpt-oss-20b (high)Gemini 3.5 Flash: 192192GGemini 3.5 FlashMinistral 3 3B: 178178?Ministral 3 3BGrok 4.3 (high): 164164xGrok 4.3 (high)GPT-5 nano (high): 160160AIGPT-5 nano (high)

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)GPT-5 nano (high): 160160AIGPT-5 nano (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)

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 31BPhi-4 Mini: 11s11s?Phi-4 MiniQwen3.5 9B: 8.4s8.4sQQwen3.5 9BDevstral Small 2: 7.4s7.4s?Devstral Small 2DeepSeek V4 Pro (max): 7s7sDDeepSeek V4 Pro (max)Kimi K2.6: 6.6s6.6sKKimi K2.6Devstral 2: 6.6s6.6s?Devstral 2GPT-5.5 (xhigh): 5.7s5.7sAIGPT-5.5 (xhigh)MiniMax-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.

0s25s50s75s100sDeepSeek V4 Pro (max): 61s61sDDeepSeek V4 Pro (max)Kimi K2.6: 58s58sKKimi K2.6Gemma 4 31B: 51s51s?Gemma 4 31BQwen3.5 9B: 34s34sQQwen3.5 9BMiniMax-M3: 20s20s?MiniMax-M3NVIDIA Nemotron 3 Nano: 18s18sNNVIDIA Nemotron 3 Nanogpt-oss-20b (high): 10s10sAIgpt-oss-20b (high)Command A+: 10s10s?Command A+GLM-5.2 (max): 9.2s9.2s?GLM-5.2 (max)Nemotron 3 Ultra: 9.1s9.1sNNemotron 3 Ultra

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)GPT-5 nano (high): 400k400kAIGPT-5 nano (high)Nemotron 3 Ultra: 262k262kNNemotron 3 Ultra

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.

00.51Claude Fable 5 (with fallback): 0.40.4AClaude Fable 5 (with fal…GPT-5.5 (xhigh): 0.10.1AIGPT-5.5 (xhigh)Gemini 3.5 Flash: 0.10.1GGemini 3.5 FlashGLM-5.2 (max): 00?GLM-5.2 (max)Kimi K2.6: 00KKimi K2.6Nemotron 3 Ultra: 00NNemotron 3 UltraMiniMax-M3: 00?MiniMax-M3Grok 4.3 (high): 00xGrok 4.3 (high)DeepSeek V4 Pro (max): 00DDeepSeek V4 Pro (max)gpt-oss-120b (high): 00AIgpt-oss-120b (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.

0200400600Claude Fable 5 (with fallback): 508508AClaude Fable 5 (with fal…GPT-5.5 (xhigh): 132132AIGPT-5.5 (xhigh)Gemini 3.5 Flash: 114114GGemini 3.5 FlashNemotron 3 Ultra: 3434NNemotron 3 UltraGLM-5.2 (max): 3333?GLM-5.2 (max)Kimi K2.6: 2525KKimi K2.6MiniMax-M3: 1515?MiniMax-M3Grok 4.3 (high): 1313xGrok 4.3 (high)DeepSeek V4 Pro (max): 7.27.2DDeepSeek V4 Pro (max)gpt-oss-120b (high): 3.53.5AIgpt-oss-120b (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.

0250k500k750k1MClaude Fable 5 (with fallback): 6161AClaude Fable 5 (with fal…GPT-5.5 (xhigh): 3636AIGPT-5.5 (xhigh)Gemini 3.5 Flash: 1111GGemini 3.5 FlashGLM-5.2 (max): 6.16.1?GLM-5.2 (max)Kimi K2.6: 5.15.1KKimi K2.6Grok 4.3 (high): 44xGrok 4.3 (high)Nemotron 3 Ultra: 3.63.6NNemotron 3 UltraMiniMax-M3: 1.61.6?MiniMax-M3DeepSeek V4 Pro (max): 1.31.3DDeepSeek V4 Pro (max)gpt-oss-120b (high): 0.90.9AIgpt-oss-120b (high)GPT-5 nano (high): 0.460.46AIGPT-5 nano (high)cache Hitinputoutput

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.

051015Phi-4 Mini: 1111?Phi-4 MiniKimi K2.6: 8.28.2KKimi K2.6Qwen3.5 9B: 7.57.5QQwen3.5 9BDeepSeek V4 Pro (max): 6.86.8DDeepSeek V4 Pro (max)Gemma 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)GLM-5.2 (max): 2.82.8?GLM-5.2 (max)

Specifications

Technical Specifications

GPT-5 nano (high) scores 20 (estimated) on the Artificial Analysis Intelligence Index, placing it well above average among other reasoning models in a similar price tier (median: 7). GPT-5 nano (high) generates output at 159.9 tokens per second (based on OpenAI's API), which is above average compared to other reasoning models in a similar price tier (median: 128.6 t/s). GPT-5 nano (high) costs $0.05 per 1M input tokens (better than average, median: $0.05) and $0.40 per 1M output tokens (at the higher end, median: $0.20), based on OpenAI's API.

GPT-5 nano (high)

Model type
Open weights
Reasoning
Yes
Input modalities
GPT-5 nano (high) supports text and image input.
Output modalities
GPT-5 nano (high) supports text output.
Context window
400k tokens
Open weights / source
No, GPT-5 nano (high) is proprietary. The model weights are not publicly available.
Parameters
GPT-5 nano (high) is a proprietary model and OpenAI has not disclosed the model size or parameter count.
Knowledge cutoff
GPT-5 nano (high) has a knowledge cutoff of May 2024. The model's training data includes information up to this date.
API availability
Yes, GPT-5 nano (high) is available via API through 3 providers.

Methodology & Provenance

This page is rendered from the normalized profile and page JSON for GPT-5 nano (high).

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

Frequently Asked Questions