DeepSeek: DeepSeek V3.1 Terminus API Pricing — $0.270 Input / $1.00 Output per 1M Tokens

DeepSeek: DeepSeek V3.1 Terminus by DeepSeek — $0.270 input / $1.00 output per 1M tokens via OpenRouter. Context: 163K tokens. Pricing last updated Oct 29, 2026.

Input / 1M tokens
$0.270
Output / 1M tokens
$1.00
Provider
DeepSeek
Context window
163K tokens
Via
OpenRouter

Cost at common usage volumes

Usage Daily Monthly
Chatbot (100/day)$0.139$4.16
Small app (1K/day)$0.770$23.10
Mid-scale (10K/day)$10.40$312.00
Large scale (100K/day)$235.00$7050.00
Model ID: deepseek/deepseek-v3.1-terminus
Data source: OpenRouter public API — updated Oct 29, 2026.

About DeepSeek: DeepSeek V3.1 Terminus

DeepSeek: DeepSeek V3.1 Terminus is an LLM developed by DeepSeek. Input costs $0.270 per million tokens and output costs $1.00 per million tokens via OpenRouter. It supports a context window of 163K tokens.

Pricing Details

Via the OpenRouter API:

  • Input tokens: $0.270 per 1 million tokens
  • Output tokens: $1.00 per 1 million tokens

A token is roughly 0.75 words. For context: a typical user message of 100 words is approximately 133 tokens; a 500-word system prompt is about 650 tokens.

How Much Does DeepSeek: DeepSeek V3.1 Terminus Cost?

For a typical chatbot application (1,000 requests/day, 1,000 prompt tokens and 500 output tokens per request):

  • Daily cost: $0.7700
  • Monthly cost: $23.100

Accessing DeepSeek: DeepSeek V3.1 Terminus via OpenRouter

OpenRouter provides a unified API for 200+ LLMs including DeepSeek: DeepSeek V3.1 Terminus. You can use it with any OpenAI-compatible SDK by setting the base URL to https://openrouter.ai/api/v1 and using your OpenRouter API key. The model ID is deepseek/deepseek-v3.1-terminus.

Compare DeepSeek: DeepSeek V3.1 Terminus with Other Models

Use the AI Model Cost Comparison tool to compare DeepSeek: DeepSeek V3.1 Terminus against GPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Pro, or any other model side by side. Or use the LLM API Cost Calculator to browse all 456+ models sorted by cost for your specific usage.

Frequently Asked Questions