grok-3-fast
vercel_ai_gateway · chat model
grok-3-fast 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
$5.0000 / 1M tokens
Output
$25.0000 / 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 | $5.0000 / 1M tokens |
| Output | $25.0000 / 1M tokens |
| Embedding | $5.0000 / 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-fast vercel_ai_gateway | In $5.0000 / 1M tokens Out $25.0000 / 1M tokens | imagetext
Output: text | Function calling | 131.1K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| grok-3 vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | imagetext
Output: text | Function calling | 131.1K | Same provider Overall 80% |
| anthropic.claude-opus-4-6-v1 bedrock_converse | In $5.0000 / 1M tokens Out $25.0000 / 1M tokens | imagetext pdf
Output: text | Function calling | 128.0K | Text + image covered Overall 78% |
| global.anthropic.claude-opus-4-6-v1 bedrock_converse | In $5.0000 / 1M tokens Out $25.0000 / 1M tokens | imagetext pdf
Output: text | Function calling | 128.0K | Text + image covered Overall 78% |
| anthropic.claude-opus-4-7 bedrock_converse | In $5.0000 / 1M tokens Out $25.0000 / 1M tokens | imagetext pdf
Output: text | Function calling | 128.0K | Text + image covered Overall 78% |
| global.anthropic.claude-opus-4-7 bedrock_converse | In $5.0000 / 1M tokens Out $25.0000 / 1M tokens | imagetext pdf
Output: text | Function calling | 128.0K | Text + image covered Overall 78% |
| claude-opus-4-6 azure_ai | In $5.0000 / 1M tokens Out $25.0000 / 1M tokens | imagetext pdf
Output: text | Function calling | 128.0K | Text + image covered Overall 78% |
| magistral-small vercel_ai_gateway | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | imagetext
Output: text | Function calling | 64.0K | Same provider Overall 74% |
| grok-4 vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | imagetext
Output: text | Function calling | 256.0K | Same provider Overall 72% |
| anthropic.claude-opus-4-5-20251101-v1:0 bedrock_converse | In $5.0000 / 1M tokens Out $25.0000 / 1M tokens | imagetext pdf
Output: text | Function calling | 64.0K | Text + image covered Overall 70% |
| claude-opus-4-5 azure_ai | In $5.0000 / 1M tokens Out $25.0000 / 1M tokens | imagetext pdf
Output: text | Function calling | 64.0K | Text + image covered Overall 70% |
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Output: text | Function calling | 4.1K | Text + image covered Overall 66% |
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Output: text | Function calling | 4.1K | Text + image covered Overall 66% |
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Output: text | Function calling | 4.1K | Text + image covered Overall 66% |
| us.meta.llama4-scout-17b-instruct-v1:0 bedrock_converse | In $0.1700 / 1M tokens Out $0.6600 / 1M tokens | imagetext
Output: text | Function calling | 4.1K | Text + image covered Overall 66% |
| openai vercel_ai_gateway | In $15.0000 / 1M tokens Out $60.0000 / 1M tokens | imagetext
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| openai vercel_ai_gateway | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens | imagetext
Output: text | Function calling | 100.0K | Same provider Overall 65% |
| v0-1.5-md vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | imagetext
Output: text | Function calling | 32.8K | Same provider Overall 64% |
| eu.mistral.pixtral-large-2502-v1:0 bedrock_converse | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | imagetext
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