Claude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/MClaude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/M
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o3 Deep Research

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Headline reasoning model in the o-series. Trades latency for depth on math, science and code benchmarks.

o3 Deep Research is a multimodal AI model from OpenAI. It costs $10.000 per million input tokens and $40.000 per million output tokens (blended $19.000/M), with a 200K-token context window.

Profile inherited from upstream o3 ↗ — this is a hosted variant of the same open-weights model.

Modalities text, visionOfficial model page ↗Provider pricing ↗API docs ↗Pricing source ↗Compare with another model →Estimate monthly cost →
INPUT
$10.000/M
per million input tokens
OUTPUT
$40.000/M
per million output tokens
BLENDED 70/30
$19.000/M
default reference rate · how it's calculated →
CONTEXT
200K
200,000 tokens
What it's good at
  • Best-in-class on math & science benchmarks
  • Multi-step planning
  • Tool use
Typical use cases
  • Hard math/science questions
  • Complex coding
  • Research assistants
Benchmarks
vs. best public score
Scores inherited from o3 — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.
MMLU90%
Multitask academic knowledge across 57 subjects.
GPQA Diamond88%
Graduate-level science questions, "Google-proof".
MATH96%
High-school competition math problems.
HumanEval95%
Python function synthesis from docstrings.
SWE-bench Verified71%
Real GitHub issues solved end-to-end.
LMArena Elo1380 Elo
Crowd-sourced head-to-head preference Elo rating.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources — treat as directional rather than authoritative.
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in $1.750/Mout $14.000/M
GPT-5.2-Codex
Coding · 400K ctx
in $1.750/Mout $14.000/M
GPT-5
Frontier · 400K ctx
in $1.250/Mout $10.000/M
GPT-4.1
Frontier · 1M ctx
in $2.000/Mout $8.000/M
GPT-4.1 mini
Efficient · 1M ctx
in $0.400/Mout $1.600/M
Frequently asked questions

How much does o3 Deep Research cost?

o3 Deep Research costs $10.000 per million input tokens and $40.000 per million output tokens, for a blended reference rate of $19.000 per million tokens.

What is o3 Deep Research's context window?

o3 Deep Research supports up to 200K tokens of context (200,000 tokens).

What is o3 Deep Research best for?

o3 Deep Research is well suited to Best-in-class on math & science benchmarks, Multi-step planning and Tool use.

Who makes o3 Deep Research?

o3 Deep Research is developed and served by OpenAI.