claude-3-opus
vertex_ai-anthropic_models · chat model
claude-3-opus 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.
Input
$15.0000 / 1M tokens
Output
$75.0000 / 1M tokens
Cached input
N/A
Context
4.1K
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 | $15.0000 / 1M tokens |
| Output | $75.0000 / 1M tokens |
| Embedding | $15.0000 / 1M tokens |
Token limits
Context window
4.1K
Max input tokens
200.0K
Max output tokens
4.1K
Max tokens
4.1K
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
| Benchmark | Score | Metric | Scope | Checked | Source |
|---|---|---|---|---|---|
| Aider Refactoring | 72.3% | score | Base model: Claude 3 Opus (claude-3-opus-20240229) | 2026-05-31 | Link |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
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-opus vertex_ai-anthropic_models | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens |
Output: unknown | VisionFunction callingTool choice | 4.1K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| claude-3-opus@20240229 vertex_ai-anthropic_models | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | codeimage
Output: text | VisionFunction callingTool choice | 4.1K | Same provider Overall 60% |
| anthropic.claude-3-opus-20240229-v1:0 Bedrock | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 4.1K | Partial I/O overlap Overall 54% |
| eu.anthropic.claude-3-opus-20240229-v1:0 Bedrock | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 4.1K | Partial I/O overlap Overall 54% |
| us.anthropic.claude-3-opus-20240229-v1:0 Bedrock | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 4.1K | Partial I/O overlap Overall 54% |
| claude-3-opus vercel_ai_gateway | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 4.1K | Partial I/O overlap Overall 54% |
| gpt-4-turbo vercel_ai_gateway | In $10.0000 / 1M tokens Out $30.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 4.1K | Partial I/O overlap Overall 50% |
| claude-3-opus-20240229 Anthropic | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 4.1K | Partial I/O overlap Overall 50% |
| claude-opus-4-1 vertex_ai-anthropic_models | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens |
Output: unknown | VisionFunction callingTool choice | 32.0K | Same provider Overall 47% |
| claude-opus-4-1@20250805 vertex_ai-anthropic_models | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | codeimage
Output: text | VisionFunction callingTool choice | 32.0K | Same provider Overall 47% |
| claude-3-sonnet vertex_ai-anthropic_models | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens |
Output: unknown | VisionFunction callingTool choice | 4.1K | Same provider Overall 44% |
| claude-3-sonnet@20240229 vertex_ai-anthropic_models | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens |
Output: unknown | VisionFunction callingTool choice | 4.1K | Same provider Overall 44% |
| claude-3-haiku vertex_ai-anthropic_models | In $0.2500 / 1M tokens Out $1.2500 / 1M tokens |
Output: unknown | VisionFunction callingTool choice | 4.1K | Same provider Overall 40% |
| Llama-3.2-90B-Vision-Instruct azure_ai | In $2.0400 / 1M tokens Out $2.0400 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 2.0K | Partial I/O overlap Overall 34% |
| mistral-large-3 azure_ai | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 8.2K | Partial I/O overlap Overall 33% |
| Llama-3.2-11B-Vision-Instruct azure_ai | In $0.3700 / 1M tokens Out $0.3700 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 2.0K | Partial I/O overlap Overall 33% |
| anthropic.claude-opus-4-1-20250805-v1:0 bedrock_converse | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | imagepdf
Output: text | VisionFunction callingTool choice | 32.0K | Partial I/O overlap Overall 31% |
| anthropic.claude-opus-4-20250514-v1:0 bedrock_converse | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | imagepdf
Output: text | VisionFunction callingTool choice | 32.0K | Partial I/O overlap Overall 31% |
| claude-opus-4-1 azure_ai | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | imagepdf
Output: text | VisionFunction callingTool choice | 32.0K | Partial I/O overlap Overall 31% |
| claude-4-opus-20250514 Anthropic | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | imagepdf
Output: text | VisionFunction callingTool choice | 32.0K | Partial I/O overlap Overall 31% |
| v0-1.0-md vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 32.0K | Partial I/O overlap Overall 31% |
| v0-1.5-md vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 32.8K | Partial I/O overlap Overall 31% |
| Llama-4-Maverick-17B-128E-Instruct-FP8 azure_ai | In $1.4100 / 1M tokens Out $0.3500 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 16.4K | Partial I/O overlap Overall 30% |
| Llama-4-Scout-17B-16E-Instruct azure_ai | In $0.2000 / 1M tokens Out $0.7800 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 16.4K | Partial I/O overlap Overall 29% |
| mistral-small-2503 azure_ai | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 128.0K | Partial I/O overlap Overall 26% |
No models match this filter.