o4-mini
Azure · chat model
o4-mini is listed here as a chat model from Azure. 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
$0.2750 / 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 | $0.2750 / 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 2025 | 92.7% | accuracy (%) | Base model: o4-mini (OpenAI o4-mini (high)) | 2026-05-31 | Link |
| GPQA Diamond | 81.4% | accuracy (%) | Base model: o4-mini (OpenAI o4-mini (high)) | 2026-05-31 | Link |
| SWE-bench Verified | 68.1% | accuracy (%) | Base model: o4-mini (OpenAI o4-mini (high)) | 2026-05-31 | Link |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
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 |
|---|---|---|---|---|---|
| o4-mini Azure | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens |
Output: text | VisionFunction callingTool choicePrompt caching | 100.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| o4-mini-2025-04-16 Azure | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choicePrompt caching | 100.0K | Same provider Overall 76% |
| o4-mini-2025-04-16 Azure | In $1.2100 / 1M tokens Out $4.8400 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choicePrompt caching | 100.0K | Same provider Overall 74% |
| o3-mini OpenAI | 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% |
| 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 | Partial I/O overlap Overall 72% |
| o4-mini OpenAI | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | imagepdf
Output: text | VisionFunction callingTool choicePrompt caching | 100.0K | Partial I/O overlap Overall 70% |
| o4-mini-2025-04-16 OpenAI | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | imagepdf
Output: text | VisionFunction callingTool choicePrompt caching | 100.0K | Partial I/O overlap Overall 70% |
| o3-mini Azure | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | text
Output: text | Tool choicePrompt cachingReasoningResponse schema | 100.0K | Same provider Overall 68% |
| azure Azure | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens |
Output: text | VisionFunction callingTool choicePrompt caching | 100.0K | Same provider Overall 67% |
| o3-2025-04-16 Azure | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens |
Output: text | VisionFunction callingTool choicePrompt caching | 100.0K | Same provider Overall 67% |
| o3-2025-04-16 Azure | In $2.2000 / 1M tokens Out $8.8000 / 1M tokens |
Output: text | VisionFunction callingTool choicePrompt caching | 100.0K | Same provider Overall 66% |
| claude-haiku-4.5 vercel_ai_gateway | In $1.0000 / 1M tokens Out $5.0000 / 1M tokens | fileimage
Output: text | VisionFunction callingTool choicePrompt caching | 64.0K | Partial I/O overlap Overall 65% |
| o3-mini-2025-01-31 Azure | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | text
Output: text | Tool choicePrompt cachingReasoning | 100.0K | Same provider Overall 64% |
| o1-mini-2024-09-12 Azure | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | text
Output: text | Function callingPrompt cachingReasoning | 65.5K | Same provider Overall 57% |
| claude-3-7-sonnet vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimage
Output: text | VisionFunction callingTool choicePrompt caching | 64.0K | Partial I/O overlap Overall 54% |
| openai-o3-mini gradient_ai | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens |
Output: unknown | Low overlap | 100.0K | Partial I/O overlap Overall 35% |
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