o3-mini
vercel_ai_gateway · chat model
o3-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
$0.5500 / 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 |
| 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 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 vercel_ai_gateway | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 100.0K | Current model Reference row |
| 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 choiceResponse schema | 100.0K | Text covered Overall 90% |
| o3-mini-2025-01-31 OpenAI | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 100.0K | Text covered Overall 90% |
| mistral-large-2411 Mistral | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 128.0K | Text covered Overall 90% |
| mixtral-8x22b-instruct-hf fireworks_ai | In $1.2000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 65.5K | Text covered Overall 86% |
| mistral-large-2407 Mistral | In $3.0000 / 1M tokens Out $9.0000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 128.0K | Text covered Overall 85% |
| deepseek-r1-distill-llama-70b vercel_ai_gateway | In $0.7500 / 1M tokens Out $0.9900 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 131.1K | Same provider Overall 85% |
| o3-mini Azure | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | text
Output: text | Tool choiceResponse schema | 100.0K | Text covered Overall 85% |
| grok-3-mini-fast vercel_ai_gateway | In $0.6000 / 1M tokens Out $4.0000 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Same provider Overall 83% |
| o4-mini vercel_ai_gateway | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | text image
Output: text | Function callingTool choiceResponse schema | 100.0K | Same provider Overall 82% |
| kimi-k2-instruct-0905 fireworks_ai | In $0.6000 / 1M tokens Out $2.5000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 32.8K | Text covered Overall 81% |
| o3-mini-2025-01-31 Azure | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | text
Output: text | Tool choice | 100.0K | Text covered Overall 80% |
| open-mixtral-8x22b Mistral | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 8.2K | Text covered Overall 79% |
| kimi-k2-instruct fireworks_ai | In $0.6000 / 1M tokens Out $2.5000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 16.4K | Text covered Overall 79% |
| glm-4.5 vercel_ai_gateway | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Same provider Overall 79% |
| llama-v3p1-405b-instruct fireworks_ai | In $3.0000 / 1M tokens Out $3.0000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 16.4K | Text covered Overall 78% |
| devstral-small vercel_ai_gateway | In $0.0700 / 1M tokens Out $0.2800 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 128.0K | Same provider Overall 78% |
| minimax-m2p1 fireworks_ai | In $0.3000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 204.8K | Text covered Overall 78% |
| magistral-medium vercel_ai_gateway | In $2.0000 / 1M tokens Out $5.0000 / 1M tokens | text image
Output: text | Function callingTool choiceResponse schema | 64.0K | Same provider Overall 77% |
| firefunction-v2 fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 8.2K | Text covered Overall 76% |
| o4-mini-2025-04-16 Azure | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | text image
Output: text | Function callingTool choiceResponse schema | 100.0K | Text covered Overall 75% |
| o1-mini-2024-09-12 Azure | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | text
Output: text | Function calling | 65.5K | Text covered Overall 74% |
| kimi-k2p5 fireworks_ai | In $0.6000 / 1M tokens Out $3.0000 / 1M tokens | text image
Output: text | Function callingTool choiceResponse schema | 262.1K | Text covered Overall 71% |
| kimi-k2p5 fireworks_ai | In $0.6000 / 1M tokens Out $3.0000 / 1M tokens | text image
Output: text | Function callingTool choiceResponse schema | 262.1K | Text covered Overall 71% |
| o4-mini Azure | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 100.0K | Partial I/O overlap Overall 64% Missing text |
| 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.