LLM Pricing
← All models

anthropic.claude-3-5-haiku-20241022-v1:0

Bedrock · chat model

Input
$0.8000 / 1M tokens
Output
$4.0000 / 1M tokens
Cached input
$0.0800 / 1M tokens
Context
8.2K

Pricing

Item Raw value (per token) Normalized
Input 8e-7 $0.8000 / 1M tokens
Output 0.000004 $4.0000 / 1M tokens
Cached input 8e-8 $0.0800 / 1M tokens
Cache write N/A $1.0000 / 1M tokens
Embedding 8e-7 $0.8000 / 1M tokens

Token limits

Context window
8.2K
Max input tokens
200.0K
Max output tokens
8.2K
Max tokens
8.2K

Capabilities

Capability Supported
Vision No
Function calling Yes
Parallel function calling No
Tool choice Yes
Prompt caching Yes
Reasoning No
Response schema Yes
System messages No
Audio input No
Audio output No
Web search No
PDF input Yes
Video input No

Similar models

Models with comparable pricing in the same mode (chat).

Model Provider Input Output Context Coding Features
us.anthropic.claude-3-5-haiku-20241022-v1:0 Bedrock $0.8000 / 1M tokens $4.0000 / 1M tokens 8.2K N/A Tools Cache
anthropic-claude-3.5-haiku gradient_ai $0.8000 / 1M tokens $4.0000 / 1M tokens 1.0K N/A
us.anthropic.claude-3-5-haiku-20241022-v1:0 Bedrock $0.8000 / 1M tokens $4.0000 / 1M tokens 8.2K N/A Tools Cache
claude-3.5-haiku vercel_ai_gateway $0.8000 / 1M tokens $4.0000 / 1M tokens 8.2K N/A Vision Tools
kimi-k2.6 moonshot $0.9500 / 1M tokens $4.0000 / 1M tokens 262.1K N/A Vision Tools Reasoning
qwen3-vl-235b-a22b-thinking novita $0.9800 / 1M tokens $3.9500 / 1M tokens 32.8K N/A Vision Reasoning

Sources

Pricing source LiteLLM model cost map
Synced at 2026-05-27
Manual review Not reviewed
Raw LiteLLM fields
{
  "cache_creation_input_token_cost": 0.000001,
  "cache_read_input_token_cost": 8e-8,
  "input_cost_per_token": 8e-7,
  "litellm_provider": "bedrock",
  "max_input_tokens": 200000,
  "max_output_tokens": 8192,
  "max_tokens": 8192,
  "mode": "chat",
  "output_cost_per_token": 0.000004,
  "supports_assistant_prefill": true,
  "supports_function_calling": true,
  "supports_pdf_input": true,
  "supports_prompt_caching": true,
  "supports_response_schema": true,
  "supports_tool_choice": true
}