This model is deprecated. We only continue performance benchmarking for the default 10k input token workload. Results for other workloads are historical and no longer updated.
OpenAI has launched a newer release, GPT-5 mini. We suggest considering it instead.
o3-mini Intelligence, Performance & Price Analysis
Model summary
Verbosity
o3-mini is among the least intelligent models, but reasonably priced when comparing to other models of similar price. The model supports text input, outputs text, and has a 200k tokens context window.
o3-mini scores 12 on the Artificial Analysis Intelligence Index, placing it at the lower end among comparable models (median: 27).
Pricing for o3-mini is $1.10 per 1M input tokens (competitively priced, median: $2.00) and $4.40 per 1M output tokens (moderately priced, median: $10.00).
At 178 tokens per second, o3-mini is notably fast (78).
| 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 |
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
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Index vs. Cost per Intelligence Index Task
Intelligence Evaluations
Agentic knowledge work, (Elo-500)/2000
Knowledge
1 - hallucination rate
Agentic SaaS workflows
Agentic real-world work tasks, (Elo-500)/2000
Reasoning & knowledge
Professional document reasoning, All-pass
Agentic coding & terminal use
Long context reasoning
Coding
Physics reasoning
Agentic scientific research workflows in a terminal
Agentic software engineering in open-source repositories
Quantitative analysis on spreadsheets & documents
Legal agentic work, Hallucination-Gated All-Pass Rate
Agentic business operations
Kubernetes incident root-cause analysis
Medical long context reasoning
Visual reasoning
Intelligence Index Comparisons
Intelligence Index vs. Cost per Intelligence Index Task
Cost
Cost per Intelligence Index Task
Cost to Run Artificial Analysis Intelligence Index
Pricing: Cache Hit, Input, and Output
Context Window
Context Window
Speed
Measured by Output Speed (tokens per second)
Output Speed
Time per Intelligence Index Task
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
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 12 (estimated) on the Artificial Analysis Intelligence Index, placing it at the lower end among other models in a similar price tier (median: 27).
o3-mini generates output at 177.7 tokens per second (based on OpenAI's API), which is well above average compared to other models in a similar price tier (median: 77.6 t/s).
o3-mini has a time to first token (TTFT) of 6.39s (based on OpenAI's API), which is somewhat higher than average compared to other models in a similar price tier (median: 4.04s).
o3-mini costs $1.10 per 1M input tokens (very competitive, median: $2.00) and $4.40 per 1M output tokens (better than average, 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 (7:2:1 cache hit/input/output ratio), this is $1.05 per 1M tokens. Pricing may vary by provider. Compare provider pricing
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 12 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