claude-opus-4@20250514
vertex_ai-anthropic_models · chat model
claude-opus-4@20250514 is listed here as a chat model from vertex_ai-anthropic_models. 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 | $15.0000 / 1M tokens |
| Output | $75.0000 / 1M tokens |
| Cached input | $1.5000 / 1M tokens |
| Cache write | $18.7500 / 1M tokens |
| Embedding | $15.0000 / 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 | 72.5% | score | Base model: Claude Opus 4 (Claude Opus 4) | 2026-05-31 | Link |
| Terminal-Bench | 43.2% | score | Base model: Claude Opus 4 (Claude Opus 4) | 2026-05-31 | Link |
| GPQA Diamond | 74.9% | score | Base model: Claude Opus 4 (Claude Opus 4) | 2026-05-31 | Link |
| MMMLU | 87.4% | score | Base model: Claude Opus 4 (Claude Opus 4) | 2026-05-31 | Link |
| MMMU | 73.7% | score | Base model: Claude Opus 4 (Claude Opus 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 |
|---|---|---|---|---|---|
| claude-opus-4@20250514 vertex_ai-anthropic_models | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | codeimagepdftext
Output: text | VisionFunction callingTool choicePrompt caching | 32.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| anthropic.claude-opus-4-1-20250805-v1:0 bedrock_converse | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | codeimagepdftext
Output: text | VisionFunction callingTool choicePrompt caching | 32.0K | Text + image covered Overall 92% |
| anthropic.claude-opus-4-20250514-v1:0 bedrock_converse | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | codeimagepdftext
Output: text | VisionFunction callingTool choicePrompt caching | 32.0K | Text + image covered Overall 92% |
| claude-opus-4-1 azure_ai | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | codeimagepdftext
Output: text | VisionFunction callingTool choicePrompt caching | 32.0K | Text + image covered Overall 92% |
| claude-4-opus-20250514 Anthropic | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | codeimagepdftext
Output: text | VisionFunction callingTool choicePrompt caching | 32.0K | Text + image covered Overall 92% |
| claude-opus-4-1 Anthropic | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | codeimagepdftext
Output: text | VisionFunction callingTool choicePrompt caching | 32.0K | Text + image covered Overall 92% |
| claude-opus-4-1-20250805 Anthropic | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | codeimagepdftext
Output: text | VisionFunction callingTool choicePrompt caching | 32.0K | Text + image covered Overall 92% |
| claude-opus-4-1@20250805 vertex_ai-anthropic_models | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | codeimagepdftext
Output: text | VisionFunction callingTool choice | 32.0K | Same provider Overall 84% |
| claude-sonnet-4@20250514 vertex_ai-anthropic_models | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | codeimagepdftext
Output: text | VisionFunction callingTool choicePrompt caching | 64.0K | Same provider Overall 77% |
| claude-3-7-sonnet@20250219 vertex_ai-anthropic_models | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | codeimagepdftext
Output: text | VisionFunction callingTool choicePrompt caching | 8.2K | Same provider Overall 73% |
| claude-3-opus@20240229 vertex_ai-anthropic_models | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | codeimagepdftext
Output: text | VisionFunction callingTool choice | 4.1K | Same provider Overall 71% |
| claude-sonnet-4-5@20250929 vertex_ai-anthropic_models | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | codeimagepdftext documents
Output: text | VisionFunction callingTool choicePrompt caching | 64.0K | Same provider Overall 71% |
| claude-3-opus-20240229 Anthropic | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | codeimagepdftext
Output: text | VisionFunction callingTool choicePrompt caching | 4.1K | Text + image covered Overall 70% |
| anthropic.claude-3-opus-20240229-v1:0 Bedrock | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | codeimagepdftext
Output: text | VisionFunction callingTool choiceResponse schema | 4.1K | Text + image covered Overall 66% |
| claude-3-5-sonnet@20240620 vertex_ai-anthropic_models | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | codeimagepdftext
Output: text | VisionFunction callingTool choicePDF input | 8.2K | Same provider Overall 60% |
| claude-3-5-haiku@20241022 vertex_ai-anthropic_models | In $1.0000 / 1M tokens Out $5.0000 / 1M tokens | codeimagepdftext
Output: text | Function callingTool choicePDF input | 8.2K | Same provider Overall 55% |
| claude-3-haiku@20240307 vertex_ai-anthropic_models | In $0.2500 / 1M tokens Out $1.2500 / 1M tokens | codeimagepdftext
Output: text | VisionFunction callingTool choice | 4.1K | Same provider Overall 52% |
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