Model Cost Profile

OpenAI: o3 Deep Research

Developer: openai

Pricing updated Mar 16, 2026

Input rank: #334Output rank: #334

Live Pricing

Input: $10.00

Output: $40.00

Pricing via OpenRouter API Β· Last synced Mar 16, 2026

OpenAI's o3 Deep Research model offers an extensive context window of 200,000 tokens, making it ideal for complex research tasks that require deep understanding and analysis of large datasets. Teams utilizing this API model can expect input costs of $10.00 per 1M tokens and output costs of $40.00 per 1M tokens, which can significantly impact budget planning for projects involving extensive text generation or data processing. This model is particularly beneficial for academic institutions, research organizations, and enterprises that need to synthesize vast amounts of information into coherent insights.

πŸ‘ VisionπŸ”§ Tool CallingπŸ”Œ MCP CompatibleπŸ“‹ Structured Output🧠 Reasoning

Context Window

200,000

Tokens

Input Price / 1M

$10.00

Prompt tokens

Output Price / 1M

$40.00

Completion tokens

Top Benchmark

Pending

No benchmark data yet

Quality & Benchmarks

Evaluation scores for OpenAI: o3 Deep Research. The β€œTop Benchmark” shown above is the highest-priority score available (MMLU > GPQA > MATH > HumanEval).

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Tool Calling SupportedπŸ”Œ MCP Compatible

Price History

OpenAI: o3 Deep Research Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 β€” Mar 16
$10.00$25.00$40.00Mar 7Mar 9Mar 12Mar 14Mar 16

Current Input / 1M

$10.00

Current Output / 1M

$40.00

Performance History

OpenAI: o3 Deep Research Speed Trend

Not enough data yet. Performance tracking started recently β€” check back in a few days.

Cheaper Alternatives to Compare

Quick links for cost-down decisions before production rollout.