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claude-haiku-4.5

OpenRouter · chat model

claude-haiku-4.5 is listed here as a chat model from OpenRouter. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$1.0000 / 1M tokens
Output
$5.0000 / 1M tokens
Cached input
$0.1000 / 1M tokens
Context
200.0K

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
$1.0000 / 1M tokens
Output
$5.0000 / 1M tokens
Cached input
$0.1000 / 1M tokens
Cache write
$1.2500 / 1M tokens
Embedding
$1.0000 / 1M tokens

Token limits

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

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 73.3% score Base model: Claude Haiku 4.5 (claude-haiku-4-5) 2026-05-31 Link
SWE-bench Verified 66.60% % resolved Base model: Claude 4.5 Haiku (Claude 4.5 Haiku (high reasoning)) 2026-05-31 Link
SWE-bench Verified 73.3% accuracy Base model: Claude Haiku 4.5 (claude-haiku-4.5) 2026-05-31 Link
GPQA Diamond 67.2% accuracy Base model: Claude Haiku 4.5 (anthropic/claude-haiku-4.5) 2026-05-31 Link
Terminal-Bench Hard 27.3% pass rate Base model: Claude Haiku 4.5 (anthropic/claude-haiku-4.5) 2026-05-31 Link
IFBench 54.3% accuracy Base model: Claude Haiku 4.5 (anthropic/claude-haiku-4.5) 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.

Comparing from
Model Cost Input shape Features Context Why it is close
claude-haiku-4.5
OpenRouter
In $1.0000 / 1M tokens
Out $5.0000 / 1M tokens
fileimagetext
Output: text
VisionFunction callingTool choicePrompt caching
200.0K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
claude-haiku-4.5
vercel_ai_gateway
In $1.0000 / 1M tokens
Out $5.0000 / 1M tokens
fileimagetext
Output: text
VisionFunction callingTool choicePrompt caching
64.0K
Text + image covered
Overall 86%
claude-sonnet-4.6
OpenRouter
In $3.0000 / 1M tokens
Out $15.0000 / 1M tokens
fileimagetext
Output: text
VisionFunction callingTool choicePrompt caching
128.0K
Same provider
Overall 81%
gpt-5.2
OpenRouter
In $1.7500 / 1M tokens
Out $14.0000 / 1M tokens
fileimagetext
Output: text
VisionFunction callingTool choicePrompt caching
128.0K
Same provider
Overall 80%
claude-opus-4.6
OpenRouter
In $5.0000 / 1M tokens
Out $25.0000 / 1M tokens
fileimagetext
Output: text
VisionFunction callingTool choicePrompt caching
128.0K
Same provider
Overall 79%
claude-sonnet-4
OpenRouter
In $3.0000 / 1M tokens
Out $15.0000 / 1M tokens
fileimagetext
Output: text
VisionFunction callingTool choicePrompt caching
64.0K
Same provider
Overall 76%
claude-sonnet-4.5
vercel_ai_gateway
In $3.0000 / 1M tokens
Out $15.0000 / 1M tokens
fileimagetext
Output: text
VisionFunction callingTool choicePrompt caching
64.0K
Text + image covered
Overall 76%
anthropic.claude-haiku-4-5-20251001-v1:0
bedrock_converse
In $1.0000 / 1M tokens
Out $5.0000 / 1M tokens
fileimagetext pdf
Output: text
VisionFunction callingTool choicePrompt caching
64.0K
Text + image covered
Overall 76%
anthropic.claude-haiku-4-5@20251001
bedrock_converse
In $1.0000 / 1M tokens
Out $5.0000 / 1M tokens
fileimagetext pdf
Output: text
VisionFunction callingTool choicePrompt caching
64.0K
Text + image covered
Overall 76%
claude-haiku-4-5
azure_ai
In $1.0000 / 1M tokens
Out $5.0000 / 1M tokens
fileimagetext pdf
Output: text
VisionFunction callingTool choicePrompt caching
64.0K
Text + image covered
Overall 76%
claude-haiku-4-5-20251001
Anthropic
In $1.0000 / 1M tokens
Out $5.0000 / 1M tokens
fileimagetext pdf
Output: text
VisionFunction callingTool choicePrompt caching
64.0K
Text + image covered
Overall 76%
claude-haiku-4-5
Anthropic
In $1.0000 / 1M tokens
Out $5.0000 / 1M tokens
fileimagetext pdf
Output: text
VisionFunction callingTool choicePrompt caching
64.0K
Text + image covered
Overall 76%
global.anthropic.claude-haiku-4-5-20251001-v1:0
bedrock_converse
In $1.0000 / 1M tokens
Out $5.0000 / 1M tokens
fileimagetext pdf
Output: text
VisionFunction callingTool choicePrompt caching
64.0K
Text + image covered
Overall 76%
gpt-5.1-codex-max
OpenRouter
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
fileimagetext
Output: text
VisionFunction callingTool choicePrompt caching
128.0K
Same provider
Overall 75%
claude-sonnet-4.5
OpenRouter
In $3.0000 / 1M tokens
Out $15.0000 / 1M tokens
fileimagetext
Output: text
VisionFunction callingTool choicePrompt caching
1.0M
Same provider
Overall 75%
claude-opus-4.5
OpenRouter
In $5.0000 / 1M tokens
Out $25.0000 / 1M tokens
fileimagetext
Output: text
VisionFunction callingTool choicePrompt caching
32.0K
Same provider
Overall 71%
claude-opus-4
OpenRouter
In $15.0000 / 1M tokens
Out $75.0000 / 1M tokens
fileimagetext
Output: text
VisionFunction callingTool choicePrompt caching
32.0K
Same provider
Overall 69%
claude-opus-4.1
OpenRouter
In $15.0000 / 1M tokens
Out $75.0000 / 1M tokens
fileimagetext
Output: text
VisionFunction callingTool choicePrompt caching
32.0K
Same provider
Overall 69%