global.anthropic.claude-sonnet-4-20250514-v1:0
bedrock_converse · chat model
global.anthropic.claude-sonnet-4-20250514-v1:0 is listed here as a chat model from bedrock_converse. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
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
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 | 72.7% | score | Base model: Claude Sonnet 4 (Claude Sonnet 4) | 2026-05-31 | Link |
| GPQA Diamond | 70.0% | score | Base model: Claude Sonnet 4 (Claude Sonnet 4) | 2026-05-31 | Link |
| MMMLU | 85.4% | score | Base model: Claude Sonnet 4 (Claude Sonnet 4) | 2026-05-31 | Link |
| MMMU | 72.6% | score | Base model: Claude Sonnet 4 (Claude Sonnet 4) | 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.
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| global.anthropic.claude-sonnet-4-20250514-v1:0 bedrock_converse | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | pdftext
Output: text | VisionFunction callingTool choicePrompt caching | 64.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| anthropic.claude-sonnet-4-6 bedrock_converse | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | pdftext image
Output: text | VisionFunction callingTool choicePrompt caching | 64.0K | Same provider Overall 88% |
| global.anthropic.claude-sonnet-4-6 bedrock_converse | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | pdftext image
Output: text | VisionFunction callingTool choicePrompt caching | 64.0K | Same provider Overall 88% |
| anthropic.claude-sonnet-4-20250514-v1:0 bedrock_converse | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | pdftext image
Output: text | VisionFunction callingTool choicePrompt caching | 64.0K | Same provider Overall 88% |
| anthropic.claude-sonnet-4-5-20250929-v1:0 bedrock_converse | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | pdftext image
Output: text | VisionFunction callingTool choicePrompt caching | 64.0K | Same provider Overall 88% |
| claude-sonnet-4-5 azure_ai | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | pdftext image
Output: text | VisionFunction callingTool choicePrompt caching | 64.0K | Text covered Overall 88% |
| claude-sonnet-4-6 azure_ai | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | pdftext image
Output: text | VisionFunction callingTool choicePrompt caching | 64.0K | Text covered Overall 88% |
| eu.anthropic.claude-sonnet-4-20250514-v1:0 bedrock_converse | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | pdftext image
Output: text | VisionFunction callingTool choicePrompt caching | 64.0K | Same provider Overall 88% |
| global.anthropic.claude-sonnet-4-5-20250929-v1:0 bedrock_converse | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | pdftext image
Output: text | VisionFunction callingTool choicePrompt caching | 64.0K | Same provider Overall 88% |
| anthropic.claude-3-7-sonnet-20250219-v1:0 bedrock_converse | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | pdftext image
Output: text | VisionFunction callingTool choicePrompt caching | 8.2K | Same provider Overall 75% |
| anthropic.claude-3-5-sonnet-20241022-v2:0 Bedrock | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | pdftext image
Output: text | VisionFunction callingTool choicePrompt caching | 8.2K | Text covered Overall 72% |
| anthropic.claude-3-5-sonnet-20240620-v1:0 Bedrock | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | pdftext image
Output: text | VisionFunction callingTool choiceResponse schema | 4.1K | Text covered Overall 65% |
| anthropic.claude-3-sonnet-20240229-v1:0 Bedrock | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | pdftext image
Output: text | VisionFunction callingTool choiceResponse schema | 4.1K | Text covered Overall 65% |
| o1-preview-2024-09-12 Azure | In $15.0000 / 1M tokens Out $60.0000 / 1M tokens | pdftext
Output: text | Function callingPrompt cachingReasoningPDF input | 32.8K | Text covered Overall 63% |
| us.writer.palmyra-x4-v1:0 bedrock_converse | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens | pdftext
Output: text | Function callingPDF input | 8.2K | Same provider Overall 63% |
| us.anthropic.claude-3-5-haiku-20241022-v1:0 Bedrock | In $0.8000 / 1M tokens Out $4.0000 / 1M tokens | pdftext
Output: text | Function callingTool choicePrompt cachingResponse schema | 8.2K | Text covered Overall 63% |
| eu.anthropic.claude-3-5-haiku-20241022-v1:0 Bedrock | In $0.2500 / 1M tokens Out $1.2500 / 1M tokens | pdftext
Output: text | Function callingTool choicePrompt cachingResponse schema | 8.2K | Text covered Overall 59% |
| gpt-4-turbo-preview OpenAI | In $10.0000 / 1M tokens Out $30.0000 / 1M tokens | pdftext
Output: text | Function callingTool choicePrompt cachingPDF input | 4.1K | Text covered Overall 59% |
| us.writer.palmyra-x5-v1:0 bedrock_converse | In $0.6000 / 1M tokens Out $6.0000 / 1M tokens | pdftext
Output: text | Function callingPDF input | 8.2K | Same provider Overall 54% |
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