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claude-opus-4-5@20251101

vertex_ai-anthropic_models · chat model

claude-opus-4-5@20251101 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
$5.0000 / 1M tokens
Output
$25.0000 / 1M tokens
Cached input
$0.5000 / 1M tokens
Context
64.0K

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

Context window
64.0K
Max input tokens
200.0K
Max output tokens
64.0K
Max tokens
64.0K

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.

Comparing from
Model Cost Input shape Features Context Why it is close
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
Current model
Reference row

Overall blends cost, modality overlap, capabilities, and context.

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
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%