LLM Pricing
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deepseek-chat-v3.1

OpenRouter · chat model

Input
$0.2000 / 1M tokens
Output
$0.8000 / 1M tokens
Cached input
$0.0200 / 1M tokens
Context
163.8K

Pricing

Item Raw value (per token) Normalized
Input 2e-7 $0.2000 / 1M tokens
Output 8e-7 $0.8000 / 1M tokens
Cached input N/A $0.0200 / 1M tokens
Embedding 2e-7 $0.2000 / 1M tokens

Token limits

Context window
163.8K
Max input tokens
163.8K
Max output tokens
163.8K
Max tokens
163.8K

Capabilities

Capability Supported
Vision No
Function calling Yes
Parallel function calling No
Tool choice Yes
Prompt caching Yes
Reasoning Yes
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
ft:gpt-4.1-nano-2025-04-14 OpenAI $0.2000 / 1M tokens $0.8000 / 1M tokens 32.8K N/A Tools Cache
qwen3-235b-a22b-fp8 novita $0.2000 / 1M tokens $0.8000 / 1M tokens 20.0K N/A Reasoning
Llama-4-Scout-17B-16E-Instruct azure_ai $0.2000 / 1M tokens $0.7800 / 1M tokens 16.4K N/A Vision Tools
gpt-oss-120b OpenRouter $0.1800 / 1M tokens $0.8000 / 1M tokens 32.8K N/A Tools Reasoning
DeepSeek-R1-Distill-Llama-70B nebius $0.2500 / 1M tokens $0.7500 / 1M tokens 128.0K N/A Tools
qwen-mt-plus novita $0.2500 / 1M tokens $0.7500 / 1M tokens 8.2K N/A

Sources

Pricing source LiteLLM model cost map
Synced at 2026-05-27
Manual review Not reviewed
Raw LiteLLM fields
{
  "input_cost_per_token": 2e-7,
  "input_cost_per_token_cache_hit": 2e-8,
  "litellm_provider": "openrouter",
  "max_input_tokens": 163840,
  "max_output_tokens": 163840,
  "max_tokens": 163840,
  "mode": "chat",
  "output_cost_per_token": 8e-7,
  "supports_assistant_prefill": true,
  "supports_function_calling": true,
  "supports_prompt_caching": true,
  "supports_reasoning": true,
  "supports_tool_choice": true
}