claude-3.5-sonnet
vercel_ai_gateway · chat model
claude-3.5-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
8.2K
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
8.2K
Max input tokens
200.0K
Max output tokens
8.2K
Max tokens
8.2K
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 |
|---|---|---|---|---|---|
| SWE-bench Verified | 49% | score | Base model: Claude 3.5 Sonnet (Claude 3.5 Sonnet) | 2026-05-31 | Link |
| Aider Code Editing | 84.2% | score | Base model: Claude 3.5 Sonnet (claude-3-5-sonnet-20241022) | 2026-05-31 | Link |
| Aider Polyglot | 45.3% | score | Base model: Claude 3.5 Sonnet (claude-3-5-sonnet-20241022) | 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 |
|---|---|---|---|---|---|
| claude-3.5-sonnet vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext
Output: text | VisionFunction callingTool choiceResponse schema | 8.2K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| claude-3-5-sonnet vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext
Output: text | VisionFunction callingTool choiceResponse schema | 8.2K | Same provider Overall 92% |
| claude-3-5-sonnet-20241022 vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext
Output: text | VisionFunction callingTool choiceResponse schema | 8.2K | Same provider Overall 92% |
| claude-3.7-sonnet vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext
Output: text | VisionFunction callingTool choiceResponse schema | 64.0K | Same provider Overall 87% |
| claude-3.5-haiku vercel_ai_gateway | In $0.8000 / 1M tokens Out $4.0000 / 1M tokens | fileimagetext
Output: text | VisionFunction callingTool choiceResponse schema | 8.2K | Same provider Overall 85% |
| anthropic.claude-3-5-sonnet-20240620-v1:0 Bedrock | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext
Output: text | VisionFunction callingTool choiceResponse schema | 4.1K | Text + image covered Overall 85% |
| anthropic.claude-3-5-sonnet-20240620-v1:0 Bedrock | In $3.6000 / 1M tokens Out $18.0000 / 1M tokens | fileimagetext pdf
Output: text | VisionFunction callingTool choiceResponse schema | 8.2K | Text + image covered Overall 84% |
| anthropic.claude-3-5-sonnet-20241022-v2:0 Bedrock | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext pdf
Output: text | VisionFunction callingTool choiceResponse schema | 8.2K | Text + image covered Overall 81% |
| anthropic.claude-3-7-sonnet-20250219-v1:0 bedrock_converse | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext pdf
Output: text | VisionFunction callingTool choiceResponse schema | 8.2K | Text + image covered Overall 80% |
| anthropic.claude-3-5-sonnet-20240620-v1:0 Bedrock | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext pdf
Output: text | VisionFunction callingTool choiceResponse schema | 4.1K | Text + image covered Overall 80% |
| anthropic.claude-3-sonnet-20240229-v1:0 Bedrock | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext pdf
Output: text | VisionFunction callingTool choiceResponse schema | 4.1K | Text + image covered Overall 80% |
| gpt-4o vercel_ai_gateway | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens | fileimagetext
Output: text | VisionFunction callingTool choiceResponse schema | 16.4K | Same provider Overall 79% |
| gpt-4o OpenRouter | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens | fileimagetext
Output: text | VisionFunction callingTool choice | 4.1K | Text + image covered Overall 77% |
| claude-3-7-sonnet vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext
Output: text | VisionFunction callingTool choiceResponse schema | 64.0K | Same provider Overall 76% |
| gpt-4.1 vercel_ai_gateway | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens | fileimagetext
Output: text | VisionFunction callingTool choiceResponse schema | 32.8K | Same provider Overall 73% |
| openai vercel_ai_gateway | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens | fileimagetext
Output: text | VisionFunction callingTool choiceResponse schema | 100.0K | Same provider Overall 70% |
| anthropic.claude-sonnet-4-6 bedrock_converse | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext pdf
Output: text | VisionFunction callingTool choiceResponse schema | 64.0K | Text + image covered Overall 66% |
| global.anthropic.claude-sonnet-4-6 bedrock_converse | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimagetext pdf
Output: text | VisionFunction callingTool choiceResponse schema | 64.0K | Text + image covered Overall 66% |
| gemini-2.5-pro vercel_ai_gateway | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens | fileimagetext audiopdf
Output: text | VisionFunction callingTool choiceResponse schema | 65.5K | Same provider Overall 66% |
| mistral-large-2512 OpenRouter | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | fileimagetext
Output: text | VisionFunction callingTool choice | 262.1K | Text + image covered Overall 62% |
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