claude-4-sonnet
vercel_ai_gateway · chat model
claude-4-sonnet 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
$3.0000 / 1M tokens
Output
$15.0000 / 1M tokens
Cached input
$0.3000 / 1M tokens
Context
64.0K
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 | $3.0000 / 1M tokens |
| Output | $15.0000 / 1M tokens |
| Cached input | $0.3000 / 1M tokens |
| Cache write | $3.7500 / 1M tokens |
| Embedding | $3.0000 / 1M tokens |
Token limits
Context window
64.0K
Max input tokens
200.0K
Max output tokens
64.0K
Max tokens
64.0K
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 | — |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Docs
| Official docs |
Similar models
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Comparing from
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| claude-4-sonnet vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext
Output: text | Function callingTool choice | 64.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| claude-3.7-sonnet vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext
Output: text | Function callingTool choice | 64.0K | Same provider Overall 88% |
| grok-3 vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext
Output: text | Function callingTool choice | 131.1K | Same provider Overall 84% |
| claude-sonnet-4 OpenRouter | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext
Output: text | Function callingTool choice | 64.0K | Text + image covered Overall 83% |
| claude-sonnet-4.5 vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext
Output: text | Function callingTool choice | 64.0K | Same provider Overall 83% |
| claude-3-7-sonnet vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext
Output: text | Function callingTool choice | 64.0K | Same provider Overall 82% |
| claude-sonnet-4 vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext
Output: text | Function callingTool choice | 64.0K | Same provider Overall 82% |
| grok-4 vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext
Output: text | Function callingTool choice | 256.0K | Same provider Overall 81% |
| claude-3-7-sonnet-latest deepinfra | In $3.3000 / 1M tokens Out $16.5000 / 1M tokens | fileimagetext
Output: text | Function callingTool choice | 200.0K | Text + image covered Overall 80% |
| claude-4-sonnet deepinfra | In $3.3000 / 1M tokens Out $16.5000 / 1M tokens | fileimagetext
Output: text | Function callingTool choice | 200.0K | Text + image covered Overall 80% |
| anthropic.claude-sonnet-4-6 bedrock_converse | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext pdf
Output: text | Function callingTool choice | 64.0K | Text + image covered Overall 73% |
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Output: text | Function callingTool choice | 64.0K | Text + image covered Overall 73% |
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Output: text | Function callingTool choice | 4.1K | Text + image covered Overall 68% |
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Output: text | Function callingTool choice | 4.1K | Text + image covered Overall 63% |
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Output: text | Function callingTool choice | 4.1K | Text + image covered Overall 63% |
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Output: text | Function callingTool choice | 128.0K | Text + image covered Overall 62% |
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Output: text | Function callingTool choice | 8.2K | Text + image covered Overall 61% |
| gemini-2.5-pro deepinfra | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | fileimagetext audiocode
Output: text | Function callingTool choice | 1.0M | Text + image covered Overall 61% |
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Output: text | Function callingTool choice | 8.2K | Text + image covered Overall 60% |
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