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OpenAI: o3 Mini (batch)

by OpenAI

OpenAI: o3 Mini (batch) is a large language model from OpenAI. It costs $0.550 per million input tokens and $2.20 per million output tokens. Its context window is 200K tokens.

ReasoningTool callingStructured outputPrompt cachingBatch tierfile input
Input / 1M tokens
$0.550
Output / 1M tokens
$2.20
Cached input / 1M
$0.275

On repeated prefixes

Context window
200K

tokens

This model also charges $0.01 per search request

That is $10.00 per 1,000 requests, billed on top of the token prices above. On a typical 1,000-in / 500-out exchange the tokens cost $0.0016, so the search fee is 6.1× the token cost. Per-token rankings elsewhere ignore this entirely.

About o3 Mini (batch)

OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning_effort` parameter, which can be set to...

Specifications

OpenAI: o3 Mini (batch) specifications
Model IDopenai/o3-mini
ProviderOpenAI
Context window200K tokens
Max output100K tokens
Input modalitiestext, file
Output modalitiestext
Knowledge cutoff2023-10-31
Open weightsNo
ReleasedJanuary 31, 2025

Cheaper alternatives

Models that cost less than o3 Mini (batch) while keeping at least half its context window and every input modality it supports.

Frequently asked

How much does OpenAI: o3 Mini (batch) cost?

$0.550 per million input tokens and $2.20 per million output tokens. Cached input reads cost $0.275 per million tokens.

What is the context window of OpenAI: o3 Mini (batch)?

200K tokens, with up to 100K tokens of output per request.

Does OpenAI: o3 Mini (batch) have extra fees beyond per-token pricing?

Yes. OpenAI: o3 Mini (batch) charges $0.01 per search request - $10.00 per 1,000 requests - on top of $0.550 per million input tokens and $2.20 per million output tokens. On a typical 1,000-input / 500-output exchange the search fee alone is 6.1× the token cost.

Confirm against the source: OpenAI official pricing.