o3-mini
OpenAI · chat model
o3-mini is listed here as a chat model from OpenAI. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$1.1000 / 1M tokens
Output
$4.4000 / 1M tokens
Cached input
$0.5500 / 1M tokens
Context
100.0K
Quick read
Best for
Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.
Things to verify
Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.
Pricing
| Item | Price |
|---|---|
| Input | $1.1000 / 1M tokens |
| Output | $4.4000 / 1M tokens |
| Cached input | $0.5500 / 1M tokens |
| Embedding | $1.1000 / 1M tokens |
Token limits
Context window
100.0K
Max input tokens
200.0K
Max output tokens
100.0K
Max tokens
100.0K
Capabilities
| Capability | Supported |
|---|---|
| Vision | — |
| Function calling | ✅ |
| Parallel function calling | — |
| Tool choice | ✅ |
| Prompt caching | ✅ |
| Reasoning | ✅ |
| Response schema | ✅ |
| System messages | — |
| Audio input | — |
| Audio output | — |
| Web search | — |
| PDF input | — |
| Video input | — |
Benchmarks
Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer
| Benchmark | Score | Metric | Scope | Checked | Source |
|---|---|---|---|---|---|
| AIME 2024 | 83.6% | accuracy (%) | Base model: o3-mini (o3-mini (high)) | 2026-05-31 | Link |
| GPQA Diamond | 77.0% | accuracy (%) | Base model: o3-mini (o3-mini (high)) | 2026-05-31 | Link |
| SWE-bench Verified | 48.9% | accuracy (%) | Base model: o3-mini (o3-mini (high)) | 2026-05-31 | Link |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Docs
| Official docs |
Similar models
This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.
Comparing from
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| o3-mini OpenAI | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | text
Output: text | Function callingTool choicePrompt cachingReasoning | 100.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| o3-mini-2025-01-31 OpenAI | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | text
Output: text | Function callingTool choicePrompt cachingReasoning | 100.0K | Same provider Overall 100% |
| o3-mini Azure | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | text
Output: text | Tool choicePrompt cachingReasoningResponse schema | 100.0K | Text covered Overall 95% |
| o3-mini-2025-01-31 Azure | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | text
Output: text | Tool choicePrompt cachingReasoning | 100.0K | Text covered Overall 90% |
| o3-mini vercel_ai_gateway | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 100.0K | Text covered Overall 90% |
| o3-mini-2025-01-31 Azure | In $1.2100 / 1M tokens Out $4.8400 / 1M tokens | text
Output: text | Tool choicePrompt cachingReasoning | 100.0K | Text covered Overall 88% |
| o3-mini-2025-01-31 Azure | In $1.2100 / 1M tokens Out $4.8400 / 1M tokens | text
Output: text | Tool choicePrompt cachingReasoning | 100.0K | Text covered Overall 88% |
| o4-mini-2025-04-16 Azure | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | text image
Output: text | Function callingTool choicePrompt cachingReasoning | 100.0K | Text covered Overall 84% |
| mimo-v2.5-pro OpenRouter | In $1.0000 / 1M tokens Out $3.0000 / 1M tokens | text
Output: text | Function callingTool choicePrompt cachingReasoning | 16.4K | Text covered Overall 83% |
| o1-mini-2024-09-12 Azure | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | text
Output: text | Function callingPrompt cachingReasoning | 65.5K | Text covered Overall 82% |
| o4-mini-2025-04-16 Azure | In $1.2100 / 1M tokens Out $4.8400 / 1M tokens | text image
Output: text | Function callingTool choicePrompt cachingReasoning | 100.0K | Text covered Overall 82% |
| magistral-medium-2506 Mistral | In $2.0000 / 1M tokens Out $5.0000 / 1M tokens | text
Output: text | Function callingTool choiceReasoningResponse schema | 40.0K | Text covered Overall 81% |
| o4-mini OpenAI | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | text imagepdf
Output: text | Function callingTool choicePrompt cachingReasoning | 100.0K | Same provider Overall 79% |
| o4-mini-2025-04-16 OpenAI | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | text imagepdf
Output: text | Function callingTool choicePrompt cachingReasoning | 100.0K | Same provider Overall 79% |
| deepseek-v3.2 azure_ai | In $0.5800 / 1M tokens Out $1.6800 / 1M tokens | text
Output: text | Function callingTool choicePrompt cachingReasoning | 163.8K | Text covered Overall 78% |
| deepseek-v3.2-speciale azure_ai | In $0.5800 / 1M tokens Out $1.6800 / 1M tokens | text
Output: text | Function callingTool choicePrompt cachingReasoning | 163.8K | Text covered Overall 78% |
| deepseek-v3p2 fireworks_ai | In $0.5600 / 1M tokens Out $1.6800 / 1M tokens | text
Output: text | Function callingTool choiceReasoningResponse schema | 163.8K | Text covered Overall 78% |
| o4-mini Azure | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | text
Output: text | Function callingTool choicePrompt cachingReasoning | 100.0K | Partial I/O overlap Overall 72% Missing text |
| o3 OpenAI | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens | text imagepdf
Output: text | Function callingTool choicePrompt cachingReasoning | 100.0K | Same provider Overall 70% |
| o3-2025-04-16 OpenAI | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens | text imagepdf
Output: text | Function callingTool choicePrompt cachingReasoning | 100.0K | Same provider Overall 70% |
| gpt-5.4-mini OpenAI | In $0.7500 / 1M tokens Out $4.5000 / 1M tokens | text imagepdf
Output: text | Function callingTool choicePrompt cachingReasoning | 128.0K | Same provider Overall 69% |
| openai-o3-mini gradient_ai | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | text
Output: unknown | Low overlap | 100.0K | Partial I/O overlap Overall 35% Missing text |
No models match this filter.