OpenAI · Frontier
GPT-4o
OpenAI's flagship multimodal model, handling text, images, and audio. Exceptional at understanding context and generating human-like responses.
- Tools
- Vision
- Input
- Text, Images
- Output
- Text
- Discovery tier
- Frontier
Pricing
USD per 1M tokens- Input
- $2.50
- Output
- $10.00
- Cache read
- $1.25
Reference prices as published by the model provider. API example
Specifications
- Context window
- 128K
- Max output
- 16.4K
- Average output (7 days)
- 101 tokens
- Longer than 10% of 468 models
Side by side
GPT-4o compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| GPT-4oOpenAIThis model | GPT Chat LatestOpenAIRemove | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Discovery tier | Frontier | Frontier |
| Added | May 13, 2025 | May 3, 2026 |
| Limits | ||
| Context window | 128K | 1.05MBest |
| Max output | 16.38K | 128KBest |
| Average output | 101 tokens | 408 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $2.50 | $2.00Best |
| Output | $10.00 | $10.00 |
| Cache read | $1.25 | $0.20Best |
| Cache write | — | $2.50 |
| Performance | ||
| Throughput | 69.2 tok/s | 83.7 tok/sBest |
| Time to first token | 1.4 sBest | 2.6 s |
| Request success (24h) | 100.0% | 100.0% |
| Benchmark indexes | ||
| Intelligence Index | 8.4 | 47.0Best |
| Coding Index | — | 77.4 |
| Math Index | 6.0 | — |
| Capabilities | ||
| Reasoning | No | Yes |
| Tools | Yes | Yes |
| Vision | Yes | Yes |
| Structured output | No | Yes |
| PDF input | No | Yes |
| Reasoning effort | — | none, low, medium, high, xhigh, max |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- GPT-4o
- GPT Chat Latest
Intelligence Index
- GPT-4o8.4
- GPT Chat Latest47.0
GPT-4o: Better than 13% of 326 scored models
Indexes
Coding Index
Composite of the coding evaluations
- GPT-4o: —
- GPT Chat Latest: 77.4
Math Index
Composite of the math evaluations
- GPT-4o: 6.0
- GPT Chat Latest: —
Agentic work
AutomationBench-AA
Workflow automation, penalized for guardrail violations
- GPT-4o: —
- GPT Chat Latest: 60.1%
AutomationBench-AA tasks completed
Workflows finished end to end without a guardrail violation
- GPT-4o: —
- GPT Chat Latest: 30.3%
AA-Briefcasev1.1
Agentic knowledge work, rated head to head
- GPT-4o: —
- GPT Chat Latest: 1,479 Elo
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- GPT-4o: —
- GPT Chat Latest: 1,609 Elo
Document reasoning
GDP.pdf
Professional reasoning over PDF documents, all-pass rate
- GPT-4o: —
- GPT Chat Latest: 27.2%
AA-LCRv1.1
Reasoning across long documents
- GPT-4o: 49.3%
- GPT Chat Latest: 84.0%Top
MLCR-AA
Long-context reasoning over medical records
- GPT-4o: —
- GPT Chat Latest: 30.0%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- GPT-4o: 2.4%
- GPT Chat Latest: 49.5%Top
GPQA Diamond
Graduate-level science questions
- GPT-4o: 54.3%
- GPT Chat Latest: 94.1%Top
MMLU-Pro
Multi-subject knowledge and reasoning
- GPT-4o: 74.8%
- GPT Chat Latest: —
IFBench
Following precise output instructions
- GPT-4o: 34.3%
- GPT Chat Latest: 72.7%Top
Coding
Terminal-Benchv4.0
Practical software engineering in a terminal
- GPT-4o: —
- GPT Chat Latest: 39.9%
SciCode
Scientific computing in Python
- GPT-4o: —
- GPT Chat Latest: 57.1%
LiveCodeBench
Recent competitive programming problems
- GPT-4o: 30.9%
- GPT Chat Latest: —
Math
AIME 2025
Competition mathematics, 2025 problems
- GPT-4o: 6.0%
- GPT Chat Latest: —
AIME
Competition mathematics
- GPT-4o: 15.0%
- GPT Chat Latest: —
MATH-500
Competition math problems
- GPT-4o: 75.9%
- GPT Chat Latest: —
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- GPT-4o: 8.3%
- GPT Chat Latest: 65.9%Top
τ²-Bench Telecom
Tool use in a customer-support simulation
- GPT-4o: 25.1%
- GPT Chat Latest: 85.1%Top
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- GPT-4o: 49.3%
- GPT Chat Latest: 84.0%Top
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
Live routing data
Performance and reliability
Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.
- Throughput
- 69.2 tok/s
- Faster than 45% of 254 models
- Time to first token
- 1.4 s
- Quicker than 92% of 254 models
- Prompt cache hits
- 56.8%
- About $1.79 per 1M input tokens with caching
- Request success (24h)
- 100.0%
- Reliable
Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.
- Healthy (98% or more)
- Degraded (90–98%)
- Down (under 90%)
- No requests
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "openai/gpt-4o",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="openai/gpt-4o",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)OpenAI
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