OpenAI has launched a newer model, GPT-5 mini (medium), we suggest considering this model instead.
For more information, see Comparison of GPT-5 mini (medium) to other models and API provider benchmarks for GPT-5 mini (medium).
o3-mini Intelligence, Performance & Price Analysis
Model summary
Intelligence
Artificial Analysis Intelligence Index
Speed
Output tokens per second
Input Price
USD per 1M tokens
Output Price
USD per 1M tokens
Verbosity
Output tokens from Intelligence Index
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
- <$0.15 per 1M tokens
- $0.15–$1 per 1M tokens
- >$1 per 1M tokens
| Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text |
| Output modality | Supports: text |
| Context window | 200k ~300 A4 pages of size 12 Arial font |
o3-mini is below average in intelligence, but reasonably priced when comparing to other models of similar price. It's also notably fast and fairly concise. The model supports text input, outputs text, and has a 200k tokens context window.
o3-mini scores 26 on the Artificial Analysis Intelligence Index, placing it below average among comparable models (averaging 31). When evaluating the Intelligence Index, it generated 12M tokens, which is fairly concise in comparison to the average of 13M.
Pricing for o3-mini is $1.10 per 1M input tokens (moderately priced, average: $1.50) and $4.40 per 1M output tokens (competitively priced, average: $10.00). In total, it cost $80.09 to evaluate o3-mini on the Intelligence Index.
At 140 tokens per second, o3-mini is notably fast (64).
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Openness
Artificial Analysis Openness Index: Results
Intelligence Index Comparisons
Intelligence vs. Price
Intelligence Index Token Use & Cost
Output Tokens Used to Run Artificial Analysis Intelligence Index
Cost to Run Artificial Analysis Intelligence Index
Context Window
Context Window
Pricing
Pricing: Input and Output Prices
Intelligence vs. Price (Log Scale)
Pricing Comparison of o3-mini API Providers
Speed
Measured by Output Speed (tokens per second)
Output Speed
Output Speed vs. Price
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 Tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only)
Model Size: Total and Active Parameters
Frequently Asked Questions
Common questions about o3-mini
o3-mini was released on January 31, 2025.
o3-mini was created by OpenAI.
o3-mini scores 26 (estimated) on the Artificial Analysis Intelligence Index, placing it below average among other reasoning models in a similar price tier (median: 31).
o3-mini generates output at 140.4 tokens per second (based on OpenAI's API), which is well above average compared to other reasoning models in a similar price tier (median: 64.3 t/s).
o3-mini has a time to first token (TTFT) of 9.29s (based on OpenAI's API), which is somewhat higher than average compared to other reasoning models in a similar price tier (median: 2.72s).
o3-mini costs $1.10 per 1M input tokens (better than average, median: $1.50) and $4.40 per 1M output tokens (very competitive, median: $10.00), based on OpenAI's API.
o3-mini costs $1.10 per 1M input tokens and $4.40 per 1M output tokens (based on OpenAI's API). For a blended rate (3:1 input to output ratio), this is $1.93 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, o3-mini generated 12M output tokens, which is better than average compared to other reasoning models in a similar price tier (median: 13M).
Yes, o3-mini is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
o3-mini supports text input.
o3-mini supports text output.
No, o3-mini does not support image input. It can only process text.
No, o3-mini is not multimodal. It only supports text input.
o3-mini has a context window of 200k tokens. This determines how much text and conversation history the model can process in a single request.
No, o3-mini is proprietary. The model weights are not publicly available.
o3-mini is a proprietary model and OpenAI has not disclosed the model size or parameter count.
o3-mini achieves a score of 26 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, o3-mini is available via API through 2 providers. Compare API providers
o3-mini is available through 2 API providers. Compare providers