LLM Reference

o3

Released
2025-04-16
Last refreshed
2026-05-29
Status
Researched 6d ago
ProprietaryMultimodalCodingRAGAgentsLong contextVisionJSON / Tool use

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
Specifications
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
Created by

Cutting-edge research and development.

San Francisco, California, United States
Founded 2015
Website
Pricing
Output / 1M
$8.00
Input / 1M
$2.00

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/$ D

4 relevant benchmarks in the decision map.

RAG

Included by capability and metadata signals in the decision map.

Agents

Q/$ C

1 relevant benchmark in the decision map.

Provider price ladder

Compare all 3

Compare API pricing across 3 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MBatch in / outCacheRoute
OpenAI API$2.00$8.00$1.00 / $4.00read $0.500
Serverless
OpenRouter$2.00$8.00--
Serverless
Vercel AI Gateway$2.00$8.00-read $0.500
Serverless

Capabilities

VisionMultimodalReasoningFunction CallingTool UseStructured OutputsCode ExecutionPrompt CachingBatch API

Benchmark peer barsfor Coding

Benchmark scores(10)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionSource
HumanEval96.72025-04https://openai.com/index/introducing-o3-and-o4-mini/
SWE-bench Verified71.7https://openai.com/index/openai-o3-system-card/
LiveCodeBench79.12025-04https://openai.com/index/introducing-o3-and-o4-mini/
Aider Polyglot81.32026-04 (high)https://aider.chat/docs/leaderboards
Chatbot Arena1412.0https://lmarena.ai
Google-Proof Q&A87.7https://openai.com/index/openai-o3-system-card/
Massive Multi-discipline Multimodal Understanding82.9https://mmmu-benchmark.github.io/
MathVista86.8https://llm-stats.com/benchmarks/mathvista
MathVista86.8https://llm-stats.com/benchmarks/mathvista
AIME 202496.7https://openai.com/index/openai-o3-system-card/

Migration checks

No linked migration route is available for this model yet.

Rankings & picks(10)

Comparison and alternatives

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