claude-opus-4-5
vertex_ai-anthropic_models · chat model
claude-opus-4-5 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 | $5.0000 / 1M tokens |
| Output | $25.0000 / 1M tokens |
| Cached input | $0.5000 / 1M tokens |
| Cache write | $6.2500 / 1M tokens |
| Embedding | $5.0000 / 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 |
| LiveBench | 59.10 | score | Base model: Claude Opus 4.5 (Claude 4.5 Opus Medium Effort) | 2026-05-31 | Link |
| SWE-bench Verified | 80.9% | score | Base model: Claude Opus 4.5 (Claude Opus 4.5) | 2026-05-31 | Link |
| Terminal-Bench 2.0 | 59.8% | score | Base model: Claude Opus 4.5 (Claude Opus 4.5) | 2026-05-31 | Link |
| τ²-bench (Retail) | 88.9% | score | Base model: Claude Opus 4.5 (Claude Opus 4.5) | 2026-05-31 | Link |
| GPQA Diamond | 87.0% | score | Base model: Claude Opus 4.5 (Claude Opus 4.5) | 2026-05-31 | Link |
| SWE-bench Verified | 76.80% | % resolved | Base model: Claude 4.5 Opus (Claude 4.5 Opus (high reasoning)) | 2026-05-31 | Link |
| LiveBench | 75.96 | LiveBench score | Base model: Claude 4.5 Opus (Claude 4.5 Opus Thinking High Effort) | 2026-05-31 | Link |
| LMArena Text Arena (English) | 1484±5 | Arena Elo | Base model: Claude Opus 4.5 (claude-opus-4-5-20251101-thinking-32k) | 2026-05-31 | Link |
| MMLU-Pro | 89.5% | accuracy | Base model: Claude Opus 4.5 (Claude Opus 4.5 (Reasoning)) | 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.
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| claude-opus-4-5 vertex_ai-anthropic_models | In $5.0000 / 1M tokens Out $25.0000 / 1M tokens | pdf
Output: unknown | VisionFunction callingTool choicePrompt caching | 64.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| anthropic.claude-opus-4-5-20251101-v1:0 bedrock_converse | In $5.0000 / 1M tokens Out $25.0000 / 1M tokens | pdf imagetext
Output: text | VisionFunction callingTool choicePrompt caching | 64.0K | Partial I/O overlap Overall 60% |
| claude-opus-4-5 azure_ai | In $5.0000 / 1M tokens Out $25.0000 / 1M tokens | pdf imagetext
Output: text | VisionFunction callingTool choicePrompt caching | 64.0K | Partial I/O overlap Overall 60% |
| claude-opus-4-5-20251101 Anthropic | In $5.0000 / 1M tokens Out $25.0000 / 1M tokens | pdf imagetext
Output: text | VisionFunction callingTool choicePrompt caching | 64.0K | Partial I/O overlap Overall 60% |
| claude-opus-4-5 Anthropic | In $5.0000 / 1M tokens Out $25.0000 / 1M tokens | pdf imagetext
Output: text | VisionFunction callingTool choicePrompt caching | 64.0K | Partial I/O overlap Overall 60% |
| global.anthropic.claude-opus-4-5-20251101-v1:0 bedrock_converse | In $5.0000 / 1M tokens Out $25.0000 / 1M tokens | pdf imagetext
Output: text | VisionFunction callingTool choicePrompt caching | 64.0K | Partial I/O overlap Overall 60% |
| eu.anthropic.claude-opus-4-5-20251101-v1:0 bedrock_converse | In $5.0000 / 1M tokens Out $25.0000 / 1M tokens | pdf imagetext
Output: text | VisionFunction callingTool choicePrompt caching | 64.0K | Partial I/O overlap Overall 60% |
| claude-opus-4-5@20251101 vertex_ai-anthropic_models | In $5.0000 / 1M tokens Out $25.0000 / 1M tokens | pdf
Output: unknown | VisionFunction callingTool choicePrompt caching | 64.0K | Same provider Overall 60% |
| anthropic.claude-opus-4-6-v1 bedrock_converse | In $5.0000 / 1M tokens Out $25.0000 / 1M tokens | pdf imagetext
Output: text | VisionFunction callingTool choicePrompt caching | 128.0K | Partial I/O overlap Overall 53% |
| global.anthropic.claude-opus-4-6-v1 bedrock_converse | In $5.0000 / 1M tokens Out $25.0000 / 1M tokens | pdf imagetext
Output: text | VisionFunction callingTool choicePrompt caching | 128.0K | Partial I/O overlap Overall 53% |
| anthropic.claude-opus-4-7 bedrock_converse | In $5.0000 / 1M tokens Out $25.0000 / 1M tokens | pdf imagetext
Output: text | VisionFunction callingTool choicePrompt caching | 128.0K | Partial I/O overlap Overall 53% |
| global.anthropic.claude-opus-4-7 bedrock_converse | In $5.0000 / 1M tokens Out $25.0000 / 1M tokens | pdf imagetext
Output: text | VisionFunction callingTool choicePrompt caching | 128.0K | Partial I/O overlap Overall 53% |
| claude-opus-4-6 vertex_ai-anthropic_models | In $5.0000 / 1M tokens Out $25.0000 / 1M tokens | pdf
Output: unknown | VisionFunction callingTool choicePrompt caching | 128.0K | Same provider Overall 53% |
| claude-opus-4-6@default vertex_ai-anthropic_models | In $5.0000 / 1M tokens Out $25.0000 / 1M tokens | pdf
Output: unknown | VisionFunction callingTool choicePrompt caching | 128.0K | Same provider Overall 53% |
| claude-opus-4-7 vertex_ai-anthropic_models | In $5.0000 / 1M tokens Out $25.0000 / 1M tokens | pdf
Output: unknown | VisionFunction callingTool choicePrompt caching | 128.0K | Same provider Overall 53% |
| claude-opus-4-7@default vertex_ai-anthropic_models | In $5.0000 / 1M tokens Out $25.0000 / 1M tokens | pdf
Output: unknown | VisionFunction callingTool choicePrompt caching | 128.0K | Same provider Overall 53% |
| claude-sonnet-4-5 vertex_ai-anthropic_models | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | pdf
Output: unknown | VisionFunction callingTool choicePrompt caching | 64.0K | Same provider Overall 52% |
| anthropic.claude-haiku-4-5-20251001-v1:0 bedrock_converse | In $1.0000 / 1M tokens Out $5.0000 / 1M tokens | pdf imagetext
Output: text | VisionFunction callingTool choicePrompt caching | 64.0K | Partial I/O overlap Overall 44% |
| anthropic.claude-haiku-4-5@20251001 bedrock_converse | In $1.0000 / 1M tokens Out $5.0000 / 1M tokens | pdf imagetext
Output: text | VisionFunction callingTool choicePrompt caching | 64.0K | Partial I/O overlap Overall 44% |
| anthropic.claude-3-7-sonnet-20240620-v1:0 Bedrock | In $3.6000 / 1M tokens Out $18.0000 / 1M tokens | pdf
Output: unknown | VisionFunction callingTool choicePrompt caching | 8.2K | Partial I/O overlap Overall 41% |
| anthropic.claude-opus-4-1-20250805-v1:0 bedrock_converse | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | pdf imagetext
Output: text | VisionFunction callingTool choicePrompt caching | 32.0K | Partial I/O overlap Overall 39% |
| anthropic.claude-opus-4-20250514-v1:0 bedrock_converse | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | pdf imagetext
Output: text | VisionFunction callingTool choicePrompt caching | 32.0K | Partial I/O overlap Overall 39% |
| anthropic.claude-3-7-sonnet-20250219-v1:0 bedrock_converse | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | pdf imagetext
Output: text | VisionFunction callingTool choicePrompt caching | 8.2K | Partial I/O overlap Overall 39% |
No models match this filter.