LLM Pricing
← All models

deepseek-v3.1-terminus

novita · chat model

Input
$0.2700 / 1M tokens
Output
$1.0000 / 1M tokens
Cached input
$0.1350 / 1M tokens
Context
32.8K

Pricing

Item Raw value (per token) Normalized
Input 2.7e-7 $0.2700 / 1M tokens
Output 0.000001 $1.0000 / 1M tokens
Cached input 1.35e-7 $0.1350 / 1M tokens
Embedding 2.7e-7 $0.2700 / 1M tokens

Token limits

Context window
32.8K
Max input tokens
131.1K
Max output tokens
32.8K
Max tokens
32.8K

Capabilities

Capability Supported
Vision No
Function calling Yes
Parallel function calling Yes
Tool choice Yes
Prompt caching No
Reasoning Yes
Response schema Yes
System messages Yes
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
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 novita $0.2700 / 1M tokens $1.0000 / 1M tokens 32.8K N/A Tools Reasoning
mercury-coder-small vercel_ai_gateway $0.2500 / 1M tokens $1.0000 / 1M tokens 16.4K N/A
qwen3-235b-a22b-instruct-2507-maas vertex_ai-qwen_models $0.2500 / 1M tokens $1.0000 / 1M tokens 16.4K N/A Tools
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
{
  "litellm_provider": "novita",
  "mode": "chat",
  "input_cost_per_token": 2.7e-7,
  "output_cost_per_token": 0.000001,
  "max_input_tokens": 131072,
  "max_output_tokens": 32768,
  "max_tokens": 32768,
  "supports_function_calling": true,
  "supports_parallel_function_calling": true,
  "supports_tool_choice": true,
  "supports_system_messages": true,
  "supports_response_schema": true,
  "cache_read_input_token_cost": 1.35e-7,
  "input_cost_per_token_cache_hit": 1.35e-7,
  "supports_reasoning": true
}