o3
o3 is worth evaluating for coding, rag, and agents when its provider route and context window match the workload.
Use it for
- Teams evaluating coding, rag, and agents
- Workloads that can use a 200k context window
- Buyers comparing 3 tracked provider routes
Do not use it for
- Workloads where another current model has stronger sourced task evidence
- Family
- o3
- Released
- 2025-04-16
- Context
- 200k
- Max output
- 100,000
- Architecture
- Decoder Only
- Knowledge cutoff
- 2024-06
- Specialization
- general
- License
- Proprietary
- Training
- finetuned
Cheapest of 3 routes · OpenAI API · cache read $0.500
About
OpenAI o3 reasoning model with advanced multi-step problem-solving capabilities.
o3 is a proprietary model. The structured metadata tracks a 200k-token context window, multimodal input, reasoning, function calling, tool use, structured outputs, and code execution. This page tracks provider routes through OpenAI API, OpenRouter, and Vercel AI Gateway, with the cheapest tracked route listed at $2 input and $8 output per 1M tokens. Headline tracked benchmarks include HumanEval 96.7, SWE-bench Verified 71.7, and LiveCodeBench 79.1.
Top use-case fit: coding, agents, and build tasks
Coding
Q/$ D4 relevant benchmarks in the decision map.
RAG
Included by capability and metadata signals in the decision map.
Agents
Q/$ C1 relevant benchmark in the decision map.
Provider price ladder
Compare all 3Compare API pricing across 3 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Batch in / out | Cache | Route |
|---|---|---|---|---|---|
| OpenAI API | $2.00 | $8.00 | $1.00 / $4.00 | read $0.500 | Serverless |
| OpenRouter | $2.00 | $8.00 | - | - | Serverless |
| Vercel AI Gateway | $2.00 | $8.00 | - | read $0.500 | Serverless |
Capabilities
Benchmark peer barsfor Coding
Benchmark scores(10)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| HumanEval | 96.7 | 2025-04 | https://openai.com/index/introducing-o3-and-o4-mini/ |
| SWE-bench Verified | 71.7 | — | https://openai.com/index/openai-o3-system-card/ |
| LiveCodeBench | 79.1 | 2025-04 | https://openai.com/index/introducing-o3-and-o4-mini/ |
| Aider Polyglot | 81.3 | 2026-04 (high) | https://aider.chat/docs/leaderboards |
| Chatbot Arena | 1412.0 | — | https://lmarena.ai |
| Google-Proof Q&A | 87.7 | — | https://openai.com/index/openai-o3-system-card/ |
| Massive Multi-discipline Multimodal Understanding | 82.9 | — | https://mmmu-benchmark.github.io/ |
| MathVista | 86.8 | — | https://llm-stats.com/benchmarks/mathvista |
| MathVista | 86.8 | — | https://llm-stats.com/benchmarks/mathvista |
| AIME 2024 | 96.7 | — | https://openai.com/index/openai-o3-system-card/ |
Migration checks
No linked migration route is available for this model yet.