OpenAI: o1
Analysis Summary
OpenAI: o1 is OpenAIās entry in the o1 line-up. It was released in December 2024. On our leaderboard it earns Professional-tier status, ranking #10 of 565 models in our overall business-suitability ranking. For raw reasoning ability it ranks #107 of 374, putting it in the upper half for overall intelligence.
On coding it ranks #139 of 311, a reasonable fit for everyday development support. It also ranks #118 of 286 for agentic, multi-step tasks ā the autonomous, tool-driven workflows that underpin business automation. Its 200K-token context window is larger than 66% of the models we list, suiting long documents, large codebases, and retrieval-heavy workloads. Crucially for business adoption, OpenAI: o1 combines tool use, function calling, vision input, and step-by-step reasoning in a single model, letting teams consolidate several use cases instead of stitching together multiple services.
At $15.00 input and $60.00 output per 1M tokens, OpenAI: o1 is among the most expensive options we list, so it is best reserved for high-value work where answer quality matters more than per-token cost. OpenAI: o1 is a dependable pick for businesses that need strong, well-rounded performance without paying frontier prices.
Editorial notes
OpenAI o1 delivers strong reasoning, vision, file input, and tool use with a 200K context window, scoring well on GPQA and MMLU Pro, though its premium pricing and older generation place it behind current flagship models.
Assessed May 31, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How OpenAI: o1 compares
OpenAI: o1 ranks #107 of 374 AI models we track for overall intelligence, #139 of 311 for coding, #118 of 286 for agentic tasks. Its 200K-token context window is larger than 66% of the models we list. At $15.00 per million input tokens it is cheaper than 2% of comparable models.
About OpenAI: o1
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does OpenAI: o1 stack up?
Compare side-by-side with other professional models.
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $15.00 | $0.015000 |
| Output | $60.00 | $0.060000 |
Leaderboard Categories
External Resources
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Frequently asked questions about OpenAI: o1
How much does OpenAI: o1 cost?
OpenAI: o1 costs $15.00 per million input tokens and $60.00 per million output tokens.
What is the context window of OpenAI: o1?
OpenAI: o1 has a context window of 200,000 tokens (200K).
Is OpenAI: o1 good for coding?
On our coding benchmark index, OpenAI: o1 ranks #139 of 311 models, placing it in the broader range of the field for code generation and debugging.
What can OpenAI: o1 do?
OpenAI: o1 supports image/vision input, tool use, and function calling.
Who created OpenAI: o1?
OpenAI: o1 is developed by OpenAI and was released on December 17, 2024.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 5, 2026 8:38 pm