o4-mini
vercel_ai_gateway · chat model
o4-mini is listed here as a chat model from vercel_ai_gateway. 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 |
| Cache write | N/A 0 in raw data; semantics unverified |
| 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 |
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 |
|---|---|---|---|---|---|
| o4-mini vercel_ai_gateway | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceResponse schema | 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 choiceResponse schema | 100.0K | Text + image covered Overall 92% |
| openai vercel_ai_gateway | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceResponse schema | 100.0K | Same provider Overall 91% |
| o4-mini-2025-04-16 Azure | In $1.2100 / 1M tokens Out $4.8400 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceResponse schema | 100.0K | Text + image covered Overall 90% |
| pixtral-large-2411 Mistral | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceResponse schema | 128.0K | Text + image covered Overall 90% |
| o4-mini OpenAI | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | imagetext pdf
Output: text | VisionFunction callingTool choiceResponse schema | 100.0K | Text + image covered Overall 88% |
| o4-mini-2025-04-16 OpenAI | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | imagetext pdf
Output: text | VisionFunction callingTool choiceResponse schema | 100.0K | Text + image covered Overall 88% |
| mistral-medium-latest Mistral | In $0.4000 / 1M tokens Out $2.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceResponse schema | 131.1K | Text + image covered Overall 85% |
| magistral-medium vercel_ai_gateway | In $2.0000 / 1M tokens Out $5.0000 / 1M tokens | imagetext
Output: text | Function callingTool choiceResponse schema | 64.0K | Same provider Overall 83% |
| o3-mini vercel_ai_gateway | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | imagetext
Output: text | Function callingTool choiceResponse schema | 100.0K | Same provider Overall 82% Missing image |
| openai vercel_ai_gateway | In $15.0000 / 1M tokens Out $60.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceResponse schema | 100.0K | Same provider Overall 81% |
| gpt-4.1 vercel_ai_gateway | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceResponse schema | 32.8K | Same provider Overall 81% |
| pixtral-large vercel_ai_gateway | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceResponse schema | 4.0K | Same provider Overall 79% |
| Mistral Large Mistral | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceResponse schema | 262.1K | Text + image covered Overall 79% |
| mistral-large-2512 Mistral | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceResponse schema | 262.1K | Text + image covered Overall 79% |
| claude-3.5-haiku vercel_ai_gateway | In $0.8000 / 1M tokens Out $4.0000 / 1M tokens | imagetext file
Output: text | VisionFunction callingTool choiceResponse schema | 8.2K | Same provider Overall 75% |
| anthropic.claude-3-5-sonnet-20240620-v1:0 Bedrock | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceResponse schema | 4.1K | Text + image covered Overall 72% |
| o3-mini Azure | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | imagetext
Output: text | Tool choiceResponse schema | 100.0K | Partial I/O overlap Overall 71% Missing image |
| gemini-2.5-pro vercel_ai_gateway | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens | imagetext audiopdf
Output: text | VisionFunction callingTool choiceResponse schema | 65.5K | Same provider Overall 69% |
| o4-mini Azure | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceResponse schema | 100.0K | Partial I/O overlap Overall 68% Missing text, image |
| o3-mini-2025-01-31 Azure | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | imagetext
Output: text | Tool choice | 100.0K | Partial I/O overlap Overall 67% Missing image |
| anthropic.claude-3-opus-20240229-v1:0 Bedrock | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceResponse schema | 4.1K | Text + image covered Overall 67% |
| eu.anthropic.claude-3-opus-20240229-v1:0 Bedrock | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceResponse schema | 4.1K | Text + image covered Overall 67% |
| o1-mini-2024-09-12 Azure | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | imagetext
Output: text | Function calling | 65.5K | Partial I/O overlap Overall 61% Missing image |
| openai-o3-mini gradient_ai | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | imagetext
Output: unknown | Low overlap | 100.0K | Partial I/O overlap Overall 35% Missing text, image |
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