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OpenAI•Open weights•April 14, 2025

GPT-4.1 nano

Intelligence, Performance & Price Analysis

Source:Artificial Analysis scrapeType:Open weights
Intelligence
10

score

GPT-4.1 nano scores 10 on the Artificial Analysis Intelligence Index, placing it below average …

vs class avg: 11

Speed
188.4

output tokens/sec

GPT-4.1 nano generates output at 188.4 tokens per second (based on OpenAI's API), which is well …

Latency
0.62s

TTFT

GPT-4.1 nano has a time to first token (TTFT) of 0.62s (based on OpenAI's API), which is very …

Input Price
$0.10

/ 1M tokens

GPT-4.1 nano costs $0.10 per 1M input tokens (very competitive, median: $0.20) and $0. …

Output Price
$0.40

/ 1M tokens

GPT-4.1 nano costs $0.10 per 1M input tokens (very competitive, median: $0.20) and $0. …

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
  • Low-latency chat
  • Interactive turn-taking

Weak or unsuitable

  • Complex reasoning
  • Agentic workflows
  • Research-grade analysis

Routing recommendation

1

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

Cost pressure

Competitive pricing — $0.10 / 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 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-facingExcellentOutput speed 188.4 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 applicationsExcellentTTFT 0.62s — among the lowest latencies, suitable for interactive latency-critical use cases.Good first choice for real-time applications.
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 $0.10, 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-4.1 nano scores 10 on the Artificial Analysis Intelligence Index, placing it below average among other non-reasoning models in a similar price tier (median: 11).

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-4.1 nano: 9.69.6AIGPT-4.1 nano

Speed

Speed position

Open section

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

GPT-4.1 nano generates output at 188.4 tokens per second (based on OpenAI's API), which is well above average compared to other non-reasoning models in a similar price tier (median: 95.5 t/s).

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 FlashGPT-4.1 nano: 188188AIGPT-4.1 nanoLing 2.6 Flash: 177177?Ling 2.6 FlashMistral Small 3.1: 171171MiMistral Small 3.1Grok 4.3 (high): 164164xGrok 4.3 (high)Mistral Small 3.2: 147147MiMistral Small 3.2Llama 4 Maverick: 118118MLlama 4 MaverickLlama 4 Scout: 109109MLlama 4 ScoutMiniMax-M3: 9999?MiniMax-M3

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 $0.10, 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.

-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 UltraDeepSeek V4 Pro (max): -10-10DDeepSeek V4 Pro (max)

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)

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-4.1 nano: 9.69.6AIGPT-4.1 nano

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)Gemini 3.5 Flash: 192192GGemini 3.5 FlashGPT-4.1 nano: 188188AIGPT-4.1 nanoLing 2.6 Flash: 177177?Ling 2.6 FlashMistral Small 3.1: 171171MiMistral Small 3.1Grok 4.3 (high): 164164xGrok 4.3 (high)Mistral Small 3.2: 147147MiMistral Small 3.2Llama 4 Maverick: 118118MLlama 4 Maverick

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 FlashGPT-4.1 nano: 188188AIGPT-4.1 nanoGrok 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)

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.

0s2.5s5s7.5s10sMistral Large 3: 9.4s9.4sMiMistral Large 3Kimi K2.6: 6.6s6.6sKKimi K2.6Ministral 3 14B: 6.4s6.4s?Ministral 3 14BLlama 3.3 70B: 5.8s5.8sMLlama 3.3 70BGPT-4.1 mini: 5.8s5.8sAIGPT-4.1 miniQwen3 Coder Next: 5.6s5.6sQQwen3 Coder NextMistral Medium 3.1: 5.6s5.6sMiMistral Medium 3.1Ministral 3 8B: 5.4s5.4s?Ministral 3 8BMiniMax-M3: 5s5s?MiniMax-M3Llama 4 Scout: 4.6s4.6sMLlama 4 ScoutGPT-4.1 nano: 2.7s2.7sAIGPT-4.1 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 K2.6MiniMax-M3: 20s20s?MiniMax-M3GLM-5.2 (max): 9.2s9.2s?GLM-5.2 (max)Nemotron 3 Ultra: 9.1s9.1sNNemotron 3 Ultragpt-oss-120b (high): 6.4s6.4sAIgpt-oss-120b (high)GPT-4.1 nano: 0s0sAIGPT-4.1 nanoMistral Small 3.2: 0s0sMiMistral Small 3.2Mistral Small 3.1: 0s0sMiMistral Small 3.1Ministral 3 8B: 0s0s?Ministral 3 8BLlama 4 Scout: 0s0sMLlama 4 Scout

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.

02.5M5M7.5M10MLlama 4 Scout: 10M10MMLlama 4 ScoutGPT-4.1 nano: 1M1MAIGPT-4.1 nanoGemini 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-M3GPT-4.1 mini: 1M1MAIGPT-4.1 miniLlama 4 Maverick: 1M1MMLlama 4 Maverick

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.

00.51GLM-5.2 (max): 00?GLM-5.2 (max)Kimi K2.6: 00KKimi K2.6Nemotron 3 Ultra: 00NNemotron 3 UltraQwen3 Coder Next: 00QQwen3 Coder NextMiniMax-M3: 00?MiniMax-M3Mistral Medium 3.1: 00MiMistral Medium 3.1Grok 4.3 (high): 00xGrok 4.3 (high)MiMo-V2-Flash: 00?MiMo-V2-FlashDeepSeek V4 Pro (max): 00DDeepSeek V4 Pro (max)GPT-4.1 mini: 00AIGPT-4.1 mini

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.

010203040Qwen3 Coder Next: 3939QQwen3 Coder NextNemotron 3 Ultra: 3434NNemotron 3 UltraGLM-5.2 (max): 3333?GLM-5.2 (max)Kimi K2.6: 2525KKimi K2.6Mistral Medium 3.1: 1717MiMistral Medium 3.1MiniMax-M3: 1515?MiniMax-M3Grok 4.3 (high): 1313xGrok 4.3 (high)MiMo-V2-Flash: 1111?MiMo-V2-FlashMistral Large 3: 8.48.4MiMistral Large 3GPT-4.1 mini: 8.38.3AIGPT-4.1 mini

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.

0250k500k750k1MGrok 4.3 (high): 44xGrok 4.3 (high)Nemotron 3 Ultra: 3.63.6NNemotron 3 UltraMistral Medium 3.1: 2.42.4MiMistral Medium 3.1GPT-4.1 mini: 2.12.1AIGPT-4.1 miniMistral Large 3: 22MiMistral Large 3Qwen3 Coder Next: 1.91.9QQwen3 Coder NextLlama 3.3 70B: 1.91.9MLlama 3.3 70BMiniMax-M3: 1.61.6?MiniMax-M3Llama 4 Maverick: 1.51.5MLlama 4 MaverickDeepSeek V4 Pro (max): 1.31.3DDeepSeek V4 Pro (max)GPT-4.1 nano: 0.530.53AIGPT-4.1 nanocache 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.

01234MiniMax-M3: 3.93.9?MiniMax-M3GPT-5.5 (xhigh): 33AIGPT-5.5 (xhigh)GLM-5.2 (max): 2.82.8?GLM-5.2 (max)Qwen3 Coder Next: 2.62.6QQwen3 Coder NextMinistral 3 8B: 2.52.5?Ministral 3 8BMinistral 3 14B: 2.22.2?Ministral 3 14BGemini 3.5 Flash: 2.22.2GGemini 3.5 Flashgpt-oss-120b (high): 1.91.9AIgpt-oss-120b (high)Grok 4.3 (high): 1.61.6xGrok 4.3 (high)Nemotron 3 Ultra: 1.41.4NNemotron 3 UltraGPT-4.1 nano: 0.60.6AIGPT-4.1 nano

Additional Benchmarks

Further benchmark and comparison data.

Output Tokens per Intelligence Index Task

Weighted average number of output tokens used to run one task 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.

0100002000030000MiMo-V2-Flash: 2707527075?MiMo-V2-FlashMinistral 3 8B: 1568615686?Ministral 3 8BQwen3 Coder Next: 1535515355QQwen3 Coder NextLing 2.6 Flash: 1307013070?Ling 2.6 FlashMinistral 3 14B: 1174611746?Ministral 3 14BMiniMax-M3: 1162311623?MiniMax-M3Mistral Small 3.2: 80688068MiMistral Small 3.2Nemotron 3 Ultra: 77977797NNemotron 3 UltraGPT-4.1 nano: 63276327AIGPT-4.1 nanoMistral Medium 3.1: 50475047MiMistral Medium 3.1

Specifications

Technical Specifications

GPT-4.1 nano scores 10 on the Artificial Analysis Intelligence Index, placing it below average among other non-reasoning models in a similar price tier (median: 11). GPT-4.1 nano generates output at 188.4 tokens per second (based on OpenAI's API), which is well above average compared to other non-reasoning models in a similar price tier (median: 95.5 t/s). GPT-4.1 nano costs $0.10 per 1M input tokens (very competitive, median: $0.20) and $0.40 per 1M output tokens (very competitive, median: $0.70), based on OpenAI's API.

GPT-4.1 nano

Model type
Open weights
Reasoning
No
Input modalities
GPT-4.1 nano supports text and image input.
Output modalities
GPT-4.1 nano supports text output.
Context window
GPT-4.1 nano has a context window of 1.0M tokens. This determines how much text and conversation history the model can process in a single request.
Open weights / source
No, GPT-4.1 nano is proprietary. The model weights are not publicly available.
Parameters
GPT-4.1 nano is a proprietary model and OpenAI has not disclosed the model size or parameter count.
Knowledge cutoff
GPT-4.1 nano has a knowledge cutoff of May 2024. The model's training data includes information up to this date.
API availability
Yes, GPT-4.1 nano is available via API through 2 providers.

Methodology & Provenance

This page is rendered from the normalized profile and page JSON for GPT-4.1 nano.

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

Frequently Asked Questions