ft:o4-mini-2025-04-16
OpenAI · chat model
ft:o4-mini-2025-04-16 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
$4.0000 / 1M tokens
Output
$16.0000 / 1M tokens
Cached input
$1.0000 / 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 | $4.0000 / 1M tokens |
| Output | $16.0000 / 1M tokens |
| Cached input | $1.0000 / 1M tokens |
| Embedding | $4.0000 / 1M tokens |
| Batch input | $2.0000 / 1M tokens |
| Batch output | $8.0000 / 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 |
|---|---|---|---|---|---|
| ft:o4-mini-2025-04-16 OpenAI | In $4.0000 / 1M tokens Out $16.0000 / 1M tokens |
Output: unknown | Function callingTool choicePrompt cachingReasoning | 100.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| o3-2025-04-16 Azure | In $2.2000 / 1M tokens Out $8.8000 / 1M tokens |
Output: text | Function callingTool choicePrompt cachingReasoning | 100.0K | Partial I/O overlap Overall 47% |
| azure Azure | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens |
Output: text | Function callingTool choicePrompt cachingReasoning | 100.0K | Partial I/O overlap Overall 46% |
| o3-2025-04-16 Azure | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens |
Output: text | Function callingTool choicePrompt cachingReasoning | 100.0K | Partial I/O overlap Overall 46% |
| o3-mini OpenAI | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | text
Output: text | Function callingTool choicePrompt cachingReasoning | 100.0K | Same provider Overall 46% |
| 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 46% |
| claude-3-7-sonnet vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimage
Output: text | Function callingTool choicePrompt cachingReasoning | 64.0K | Partial I/O overlap Overall 45% |
| gpt-5.4 OpenAI | In $2.5000 / 1M tokens Out $15.0000 / 1M tokens | imagepdf
Output: text | Function callingTool choicePrompt cachingReasoning | 128.0K | Same provider Overall 42% |
| gpt-5.4-2026-03-05 OpenAI | In $2.5000 / 1M tokens Out $15.0000 / 1M tokens | imagepdf
Output: text | Function callingTool choicePrompt cachingReasoning | 128.0K | Same provider Overall 42% |
| o4-mini Azure | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens |
Output: text | Function callingTool choicePrompt cachingReasoning | 100.0K | Partial I/O overlap Overall 41% |
| o3 OpenAI | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens | imagepdf
Output: text | Function callingTool choicePrompt cachingReasoning | 100.0K | Same provider Overall 41% |
| o3-2025-04-16 OpenAI | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens | imagepdf
Output: text | Function callingTool choicePrompt cachingReasoning | 100.0K | Same provider Overall 41% |
| mimo-v2.5-pro OpenRouter | In $1.0000 / 1M tokens Out $3.0000 / 1M tokens | text
Output: text | Function callingTool choicePrompt cachingReasoning | 16.4K | Partial I/O overlap Overall 32% |
| gpt-realtime-2025-08-28 Azure | In $4.0000 / 1M tokens Out $16.0000 / 1M tokens |
Output: audio, text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 26% |
| gpt-realtime-1.5-2026-02-23 Azure | In $4.0000 / 1M tokens Out $16.0000 / 1M tokens |
Output: audio, text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 26% |
| gpt-realtime OpenAI | In $4.0000 / 1M tokens Out $16.0000 / 1M tokens |
Output: audio, text | Function callingTool choice | 4.1K | Same provider Overall 26% |
| gpt-realtime-1.5 OpenAI | In $4.0000 / 1M tokens Out $16.0000 / 1M tokens |
Output: audio, text | Function callingTool choice | 4.1K | Same provider Overall 26% |
| gpt-realtime-2 OpenAI | In $4.0000 / 1M tokens Out $16.0000 / 1M tokens |
Output: audio, text | Function callingTool choice | 4.1K | Same provider Overall 26% |
| gpt-realtime-2025-08-28 OpenAI | In $4.0000 / 1M tokens Out $16.0000 / 1M tokens |
Output: audio, text | Function callingTool choice | 4.1K | Same provider Overall 26% |
No models match this filter.