grok-3-mini
vercel_ai_gateway · chat model
grok-3-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
$0.3000 / 1M tokens
Output
$0.5000 / 1M tokens
Cached input
N/A
Context
131.1K
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 | $0.3000 / 1M tokens |
| Output | $0.5000 / 1M tokens |
| Embedding | $0.3000 / 1M tokens |
Token limits
Context window
131.1K
Max input tokens
131.1K
Max output tokens
131.1K
Max tokens
131.1K
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
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 |
|---|---|---|---|---|---|
| grok-3-mini vercel_ai_gateway | In $0.3000 / 1M tokens Out $0.5000 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| Llama-3.3-70B-Instruct deepinfra | In $0.2300 / 1M tokens Out $0.4000 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Text covered Overall 96% |
| Meta-Llama-3.1-70B-Instruct deepinfra | In $0.4000 / 1M tokens Out $0.4000 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Text covered Overall 96% |
| DeepSeek-R1-Distill-Qwen-32B deepinfra | In $0.2700 / 1M tokens Out $0.2700 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Text covered Overall 94% |
| Llama-3.1-Nemotron-70B-Instruct deepinfra | In $0.6000 / 1M tokens Out $0.6000 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Text covered Overall 94% |
| QwQ-32B deepinfra | In $0.1500 / 1M tokens Out $0.4000 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Text covered Overall 93% |
| Llama-3.3-70B-Instruct-Turbo deepinfra | In $0.1300 / 1M tokens Out $0.3900 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Text covered Overall 92% |
| 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 87% |
| glm-4.5-air vercel_ai_gateway | In $0.2000 / 1M tokens Out $1.1000 / 1M tokens | text
Output: text | Function callingTool choice | 96.0K | Same provider Overall 87% |
| 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 86% |
| Qwen3-235B-A22B deepinfra | In $0.1800 / 1M tokens Out $0.5400 / 1M tokens | text
Output: text | Function callingTool choice | 41.0K | Text covered Overall 85% |
| grok-3-mini xai | In $0.3000 / 1M tokens Out $0.5000 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Text covered Overall 85% |
| grok-3-mini-beta xai | In $0.3000 / 1M tokens Out $0.5000 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Text covered Overall 85% |
| grok-3-mini-latest xai | In $0.3000 / 1M tokens Out $0.5000 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Text covered Overall 85% |
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Output: text | Function callingTool choice | 32.8K | Text covered Overall 84% |
| qwen3-coder vercel_ai_gateway | In $0.4000 / 1M tokens Out $1.6000 / 1M tokens | text
Output: text | Function callingTool choice | 66.5K | Same provider Overall 83% |
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Output: text | Function callingTool choice | 16.4K | Text covered Overall 82% |
| deepseek-r1-distill-llama-70b vercel_ai_gateway | In $0.7500 / 1M tokens Out $0.9900 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Same provider Overall 81% |
| codestral vercel_ai_gateway | In $0.3000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Function callingTool choice | 4.0K | Same provider Overall 81% |
| Llama-3.3-70B-Instruct azure_ai | In $0.7100 / 1M tokens Out $0.7100 / 1M tokens | text
Output: text | Function callingTool choice | 2.0K | Text covered Overall 77% |
| gpt-3.5-turbo Azure | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Text covered Overall 75% |
| gpt-35-turbo Azure | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Text covered Overall 75% |
| gpt-35-turbo-16k-0613 Azure | In $3.0000 / 1M tokens Out $4.0000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Text covered Overall 68% |
| gpt-4-0613 Azure | In $30.0000 / 1M tokens Out $60.0000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Text covered Overall 66% |
| xai.grok-3-mini oci | In $0.3000 / 1M tokens Out $0.5000 / 1M tokens | text
Output: unknown | Function calling | 131.1K | Partial I/O overlap Overall 48% Missing text |
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Output: unknown | Function callingTool choice | 8.2K | Partial I/O overlap Overall 27% Missing text |
| deepseek-reasoner DeepSeek | In $0.2800 / 1M tokens Out $0.4200 / 1M tokens | text
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No models match this filter.