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OpenAI•Open weights•April 16, 2025

o4-mini (high)

Intelligence, Performance & Price Analysis

Source:Artificial Analysis scrapeType:Open weights
Intelligence
26

score

o4-mini (high) scores 26 (estimated) on the Artificial Analysis Intelligence Index, placing it …

vs class avg: 28

Speed
160.8

output tokens/sec

o4-mini (high) generates output at 160.8 tokens per second (based on OpenAI's API), which is well …

Latency
30.87s

TTFT

o4-mini (high) has a time to first token (TTFT) of 30.87s (based on OpenAI's API), which is at the …

Input Price
$1.10

/ 1M tokens

o4-mini (high) costs $1.10 per 1M input tokens (better than average, median: $1.50) and $4. …

Output Price
$4.40

/ 1M tokens

o4-mini (high) costs $1.10 per 1M input tokens (better than average, median: $1.50) and $4. …

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
  • High-value tasks where quality outweighs cost

Weak or unsuitable

  • Extremely long-context tasks
  • Ultra-low-latency requirements
  • Routine high-volume generation
  • Simple extraction or labeling

Routing recommendation

1

Cheaper routes for predictable extraction, labeling, or summarization

2

Cache-backed reuse for repeated prompts

Cost pressure

Premium pricing — $1.10 / M input, $4.40 / 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 workflowsStrongIntelligence score 26 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 160.8 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 30.87s — latency may be noticeable in interactive use.Consider routing latency-critical paths to faster models.
Cost-sensitive pipelinesModerateOutput pricing at $4.40 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 $1.10, output $4.40. 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

o4-mini (high) scores 26 (estimated) on the Artificial Analysis Intelligence Index, placing it below average among other reasoning models in a similar price tier (median: 28).

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)o4-mini (high): 2626AIo4-mini (high)gpt-oss-120b (high): 2424AIgpt-oss-120b (high)

Speed

Speed position

Open section

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

o4-mini (high) generates output at 160.8 tokens per second (based on OpenAI's API), which is well above average compared to other reasoning models in a similar price tier (median: 81.2 t/s).

088175263350gpt-oss-120b (high): 314314AIgpt-oss-120b (high)Nemotron 3 Ultra: 250250NNemotron 3 UltraGLM-5.2 (max): 218218?GLM-5.2 (max)Qwen3.7 Max: 206206QQwen3.7 MaxGemini 3.5 Flash: 192192GGemini 3.5 FlashGPT-5.4 mini (xhigh): 179179AIGPT-5.4 mini (xhigh)GPT-5.4 (xhigh): 175175AIGPT-5.4 (xhigh)Grok 4.3 (high): 164164xGrok 4.3 (high)o4-mini (high): 161161AIo4-mini (high)Gemini 3.1 Pro Preview: 152152GGemini 3.1 Pro PreviewMiniMax-M3: 9999?MiniMax-M3Claude Sonnet 5 (max): 8989AClaude Sonnet 5 (max)

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 $1.10, output $4.40. 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.

0204060Claude Fable 5 (with fallback): 4040AClaude Fable 5 (with fal…Gemini 3.1 Pro Preview: 3333GGemini 3.1 Pro PreviewClaude Opus 4.8 (max): 2727AClaude Opus 4.8 (max)Claude Opus 4.7 (max): 2626AClaude Opus 4.7 (max)Gemini 3.5 Flash: 2323GGemini 3.5 FlashGPT-5.5 (xhigh): 2020AIGPT-5.5 (xhigh)GPT-5.5 (high): 1818AIGPT-5.5 (high)Grok 4.3 (high): 1818xGrok 4.3 (high)GPT-5.5 (medium): 1717AIGPT-5.5 (medium)Claude Sonnet 5 (max): 1515AClaude Sonnet 5 (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…Claude Opus 4.8 (max): 5656AClaude Opus 4.8 (max)GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)Claude Opus 4.7 (max): 5454AClaude Opus 4.7 (max)Claude Sonnet 5 (max): 5353AClaude Sonnet 5 (max)GPT-5.5 (high): 5353AIGPT-5.5 (high)GPT-5.4 (xhigh): 5151AIGPT-5.4 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)GPT-5.5 (medium): 5050AIGPT-5.5 (medium)Gemini 3.5 Flash: 5050GGemini 3.5 Flash

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…Claude Opus 4.8 (max): 5656AClaude Opus 4.8 (max)GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)Claude Opus 4.7 (max): 5454AClaude Opus 4.7 (max)Claude Sonnet 5 (max): 5353AClaude Sonnet 5 (max)GPT-5.5 (high): 5353AIGPT-5.5 (high)GPT-5.4 (xhigh): 5151AIGPT-5.4 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)GPT-5.5 (medium): 5050AIGPT-5.5 (medium)Gemini 3.5 Flash: 5050GGemini 3.5 Flash

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)o4-mini (high): 2626AIo4-mini (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.

088175263350gpt-oss-120b (high): 314314AIgpt-oss-120b (high)Nemotron 3 Ultra: 250250NNemotron 3 UltraGLM-5.2 (max): 218218?GLM-5.2 (max)Qwen3.7 Max: 206206QQwen3.7 MaxGemini 3.5 Flash: 192192GGemini 3.5 FlashGPT-5.4 mini (xhigh): 179179AIGPT-5.4 mini (xhigh)GPT-5.4 (xhigh): 175175AIGPT-5.4 (xhigh)Grok 4.3 (high): 164164xGrok 4.3 (high)o4-mini (high): 161161AIo4-mini (high)Gemini 3.1 Pro Preview: 152152GGemini 3.1 Pro Preview

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)o4-mini (high): 161161AIo4-mini (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.

0s2.5s5s7.5s10sKimi K2.7 Code: 9.7s9.7sKKimi K2.7 CodeClaude Opus 4.7 (max): 8.9s8.9sAClaude Opus 4.7 (max)Claude Opus 4.8 (max): 7.6s7.6sAClaude Opus 4.8 (max)Grok Build 0.1 0616: 7.2s7.2sxGrok Build 0.1 0616DeepSeek V4 Pro (max): 7s7sDDeepSeek V4 Pro (max)GPT-5.5 (medium): 6.9s6.9sAIGPT-5.5 (medium)Kimi K2.6: 6.6s6.6sKKimi K2.6GLM-5.1: 6.3s6.3s?GLM-5.1GPT-5.5 (low): 6.1s6.1sAIGPT-5.5 (low)GPT-5.5 (high): 6s6sAIGPT-5.5 (high)o4-mini (high): 3.1s3.1sAIo4-mini (high)

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 K2.6GLM-5.1: 48s48s?GLM-5.1Kimi K2.7 Code: 43s43sKKimi K2.7 CodeGrok Build 0.1 0616: 29s29sxGrok Build 0.1 0616MiniMax-M3: 20s20s?MiniMax-M3Qwen3.7 Max: 12s12sQQwen3.7 MaxGLM-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)o4-mini (high): 0s0sAIo4-mini (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.

0500k1M1.5M2MGPT-5.4 (xhigh): 1.1M1.1MAIGPT-5.4 (xhigh)Gemini 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-M3Claude Opus 4.8 (max): 1M1MAClaude Opus 4.8 (max)Claude Opus 4.7 (max): 1M1MAClaude Opus 4.7 (max)Claude Sonnet 5 (max): 1M1MAClaude Sonnet 5 (max)

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)Claude Sonnet 4.6 (max): 0.10.1AClaude Sonnet 4.6 (max)GPT-5.5 (high): 0.10.1AIGPT-5.5 (high)Gemini 3.5 Flash: 0.10.1GGemini 3.5 FlashGPT-5.5 (medium): 0.10.1AIGPT-5.5 (medium)GPT-5.4 (xhigh): 0.10.1AIGPT-5.4 (xhigh)GPT-5.5 (low): 00AIGPT-5.5 (low)GLM-5.1: 00?GLM-5.1Qwen3.7 Max: 00QQwen3.7 MaxGemini 3.1 Pro Preview: 00GGemini 3.1 Pro Preview

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.

050100150Claude Sonnet 4.6 (max): 149149AClaude Sonnet 4.6 (max)GPT-5.5 (xhigh): 132132AIGPT-5.5 (xhigh)GPT-5.5 (high): 119119AIGPT-5.5 (high)Gemini 3.5 Flash: 114114GGemini 3.5 FlashGPT-5.5 (medium): 9999AIGPT-5.5 (medium)GPT-5.4 (xhigh): 8989AIGPT-5.4 (xhigh)GPT-5.5 (low): 6565AIGPT-5.5 (low)Gemini 3.1 Pro Preview: 4949GGemini 3.1 Pro PreviewQwen3.7 Max: 4848QQwen3.7 MaxGLM-5.1: 4040?GLM-5.1

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 Opus 4.8 (max): 3131AClaude Opus 4.8 (max)Claude Sonnet 4.6 (max): 1818AClaude Sonnet 4.6 (max)GPT-5.4 (xhigh): 1818AIGPT-5.4 (xhigh)Gemini 3.1 Pro Preview: 1414GGemini 3.1 Pro PreviewClaude Sonnet 5 (max): 1212AClaude Sonnet 5 (max)Claude Sonnet 5 (Non-reasoning): 1212AClaude Sonnet 5 (Non-rea…Gemini 3.5 Flash: 1111GGemini 3.5 FlashQwen3.7 Max: 1010QQwen3.7 MaxGLM-5.2 (max): 6.16.1?GLM-5.2 (max)GLM-5.1: 6.16.1?GLM-5.1o4-mini (high): 5.85.8AIo4-mini (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.

02468DeepSeek V4 Pro (max): 6.86.8DDeepSeek V4 Pro (max)Claude Opus 4.8 (max): 6.86.8AClaude Opus 4.8 (max)Claude Opus 4.7 (max): 5.95.9AClaude Opus 4.7 (max)Kimi K2.7 Code: 55KKimi K2.7 CodeGLM-5.1: 4.94.9?GLM-5.1Claude Fable 5 (with fallback): 4.84.8AClaude Fable 5 (with fal…MiniMax-M3: 3.93.9?MiniMax-M3Grok Build 0.1 0616: 3.83.8xGrok Build 0.1 0616GPT-5.5 (xhigh): 33AIGPT-5.5 (xhigh)GPT-5.4 (xhigh): 33AIGPT-5.4 (xhigh)

Specifications

Technical Specifications

o4-mini (high) scores 26 (estimated) on the Artificial Analysis Intelligence Index, placing it below average among other reasoning models in a similar price tier (median: 28). o4-mini (high) generates output at 160.8 tokens per second (based on OpenAI's API), which is well above average compared to other reasoning models in a similar price tier (median: 81.2 t/s). o4-mini (high) costs $1.10 per 1M input tokens (better than average, median: $1.50) and $4.40 per 1M output tokens (better than average, median: $8.40), based on OpenAI's API.

o4-mini (high)

Model type
Open weights
Reasoning
Yes
Input modalities
o4-mini (high) supports text and image input.
Output modalities
o4-mini (high) supports text output.
Context window
200k tokens
Open weights / source
No, o4-mini (high) is proprietary. The model weights are not publicly available.
Parameters
o4-mini (high) is a proprietary model and OpenAI has not disclosed the model size or parameter count.
API availability
Yes, o4-mini (high) is available via API through 3 providers.

Methodology & Provenance

This page is rendered from the normalized profile and page JSON for o4-mini (high).

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

Frequently Asked Questions