LLM Pricing
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mercury-coder-small

vercel_ai_gateway · chat model

Input
$0.2500 / 1M tokens
Output
$1.0000 / 1M tokens
Cached input
N/A
Context
16.4K

Pricing

Item Raw value (per token) Normalized
Input 2.5e-7 $0.2500 / 1M tokens
Output 0.000001 $1.0000 / 1M tokens
Embedding 2.5e-7 $0.2500 / 1M tokens

Token limits

Context window
16.4K
Max input tokens
32.0K
Max output tokens
16.4K
Max tokens
16.4K

Capabilities

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

Similar models

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

Model Provider Input Output Context Coding Features
qwen3-235b-a22b-instruct-2507-maas vertex_ai-qwen_models $0.2500 / 1M tokens $1.0000 / 1M tokens 16.4K N/A Tools
DeepSeek-V3.1 deepinfra $0.2700 / 1M tokens $1.0000 / 1M tokens 163.8K N/A Tools Reasoning
DeepSeek-V3.1-Terminus deepinfra $0.2700 / 1M tokens $1.0000 / 1M tokens 163.8K N/A Tools
deepseek-v3.1-terminus novita $0.2700 / 1M tokens $1.0000 / 1M tokens 32.8K N/A Tools Reasoning
deepseek-v3.1 novita $0.2700 / 1M tokens $1.0000 / 1M tokens 32.8K N/A Tools Reasoning
minimax-m2 OpenRouter $0.2550 / 1M tokens $1.0200 / 1M tokens 204.8K N/A Tools Cache Reasoning

Sources

Pricing source LiteLLM model cost map
Synced at 2026-05-27
Manual review Not reviewed
Raw LiteLLM fields
{
  "input_cost_per_token": 2.5e-7,
  "litellm_provider": "vercel_ai_gateway",
  "max_input_tokens": 32000,
  "max_output_tokens": 16384,
  "max_tokens": 16384,
  "mode": "chat",
  "output_cost_per_token": 0.000001
}