Model Library
OpenAIReleased April 16, 2025o4-mini (high)
OpenAI · Released April 16, 2025
Intelligence score
26
At a glance
- Intelligence
- 26
- Speed
- 160.8tokens/sec
- Latency
- 30.87stime to first token
- Input price
- $1.10per 1M tokens
- Output price
- $4.40per 1M tokens
- Context window
- 200Ktokens
- Parameters
- —
Summary
Comparison summary
o4-mini (high) scores 26 (estimated) on the Artificial Analysis Intelligence Index, placing it below average among other reasoning models in a similar price tier (median: 28). o4-mini (high) generates output at 160.8 tokens per second (based on OpenAI's API), which is well above average compared to other reasoning models in a similar price tier (median: 81.2 t/s). o4-mini (high) costs $1.10 per 1M input tokens (better than average, median: $1.50) and $4.40 per 1M output tokens (better than average, median: $8.40), based on OpenAI's API.
Specifications
Technical specifications
| Model name | o4-mini (high) |
|---|---|
| Provider | OpenAI |
| Release date | April 16, 2025 |
| Intelligence score | 26 |
| Speed | 160.8 tokens/sec |
| Latency (TTFT) | 30.87s |
| Input price | $1.10 / 1M tokens |
| Output price | $4.40 / 1M tokens |
| Context window | 200,000 tokens |
| Parameters | — |
| Reasoning | Yes |
| Input modalities | text, image |
| Output modalities | — |
| Open weights | No |
| License | — |
| API availability | — |
| Source | Model Intelligence legacy profile: o4-mini |
Pricing
Token prices
Price per 1M tokens
o4-mini (high), as listed in the catalog record
- Input$1.10
- Output$4.40
| Token type | Price per 1M |
|---|---|
| Input | $1.10 |
| Output | $4.40 |
Model Intelligence legacy profile: o4-mini
FAQ · 18
Frequently asked questions
o4-mini (high) was released on April 16, 2025.
o4-mini (high) was created by OpenAI.
o4-mini (high) scores 26 (estimated) on the Artificial Analysis Intelligence Index, placing it below average among other reasoning models in a similar price tier (median: 28).
o4-mini (high) generates output at 160.8 tokens per second (based on OpenAI's API), which is well above average compared to other reasoning models in a similar price tier (median: 81.2 t/s).
o4-mini (high) has a time to first token (TTFT) of 30.87s (based on OpenAI's API), which is at the higher end compared to other reasoning models in a similar price tier (median: 2.78s).
o4-mini (high) costs $1.10 per 1M input tokens (better than average, median: $1.50) and $4.40 per 1M output tokens (better than average, median: $8.40), based on OpenAI's API.
o4-mini (high) costs $1.10 per 1M input tokens and $4.40 per 1M output tokens (based on OpenAI's API). For a blended rate (7:2:1 cache hit/input/output ratio), this is $0.85 per 1M tokens. Pricing may vary by provider.
Yes, o4-mini (high) is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
o4-mini (high) supports text and image input.
o4-mini (high) supports text output.
Yes, o4-mini (high) supports image input and can analyze, describe, and answer questions about images.
Yes, o4-mini (high) is multimodal. It can process text and image input and generate text output.
o4-mini (high) has a context window of 200k tokens. This determines how much text and conversation history the model can process in a single request.
No, o4-mini (high) is proprietary. The model weights are not publicly available.
o4-mini (high) is a proprietary model and OpenAI has not disclosed the model size or parameter count.
o4-mini (high) achieves a score of 26 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, o4-mini (high) is available via API through 3 providers.
o4-mini (high) is available through 3 API providers.