OpenAI: o3
Analysis Summary
OpenAI o3 is a frontier reasoning model with an intelligence index of 38.4, placing it in the very strong tier, and an agentic index of 58.9 that ranks among the highest in the current field. Its math index of 88.3 and livecodebench of 0.808 confirm exceptional performance on structured reasoning and coding tasks. Vision, file input, tool use, and function calling round out a broad capability profile suited to demanding business workflows.
For businesses, o3 is well suited to autonomous coding agents, complex multi-step analysis, long-document reasoning, and any workflow where answer quality on hard problems is critical. The 200K context window supports large codebase or document tasks. Instruction following (ifbench 0.714) and long-context reasoning (lcr 0.693) are both strong, making it reliable for client-facing content generation as well.
At $2 input and $8 output per million tokens, pricing is mid-range for this capability tier. Teams running high-value, low-volume tasks where accuracy and depth justify the cost will find o3 a strong fit. It is one of the most capable benchmarked models available at this price point.
Assessed June 6, 2026
Editorial notes
OpenAI o3 delivers world-class math and agentic performance, strong coding benchmarks, vision and file input, and reliable instruction following across complex multi-step tasks.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How OpenAI: o3 compares
OpenAI: o3 ranks #72 of 374 AI models we track for overall intelligence, #49 of 311 for coding, #62 of 286 for agentic tasks. Its 200K-token context window is larger than 66% of the models we list. At $2.00 per million input tokens it is cheaper than 16% of comparable models.
About OpenAI: o3
o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does OpenAI: o3 stack up?
Compare side-by-side with other professional models.
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $2.00 | $0.002000 |
| Output | $8.00 | $0.008000 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Frequently asked questions about OpenAI: o3
How much does OpenAI: o3 cost?
OpenAI: o3 costs $2.00 per million input tokens and $8.00 per million output tokens.
What is the context window of OpenAI: o3?
OpenAI: o3 has a context window of 200,000 tokens (200K).
Is OpenAI: o3 good for coding?
On our coding benchmark index, OpenAI: o3 ranks #49 of 311 models, placing it in the top quartile of the field for code generation and debugging.
What can OpenAI: o3 do?
OpenAI: o3 supports image/vision input, tool use, and function calling.
Who created OpenAI: o3?
OpenAI: o3 is developed by OpenAI and was released on April 16, 2025.
