OpenAIMultimodalLIVE INDEX

o3 (batch)

Name: o3 (batch)
Brand: OpenAI
Price: 1.000000 USD

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

o3 (batch) is a multimodal AI model from OpenAI. It costs $1.000 per million input tokens and $4.000 per million output tokens (blended $1.900/M), with a 200,000-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

$1.000/M

per million input tokens

OUTPUT

$4.000/M

per million output tokens

BLENDED 70/30

$1.900/M

default reference rate · how it is calculated →

CONTEXT

200,000

tokens

What it is 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.