Deepseek/Deepseek V3.1 Terminus
Deepseek/Deepseek V3.1 Terminus is available via Novita AI with a 131K context window and up to 32,768 output tokens. Pricing: $0.2700/1M input tokens, $1.00/1M output tokens.
Deepseek/Deepseek V3.1 Terminus Pricing & Specifications
What is Deepseek/Deepseek V3.1 Terminus?
Deepseek/Deepseek V3.1 Terminus is a large language model by Novita AI with a 131K context window and up to 32,768 output tokens. It costs $0.27 per 1M input tokens and $1.00 per 1M output tokens. Deepseek/Deepseek V3.1 Terminus is available via Novita AI with a 131K context window and up to 32,768 output tokens. Pricing: $0.2700/1M input tokens, $1.00/1M output tokens.
Capabilities
text function calling reasoning json mode
Deepseek/Deepseek V3.1 Terminus Cost Examples
Short prompt (500 tokens)
$0.000135
Medium prompt (2K tokens)
$0.00054
Long output (4K tokens)
$0.00400
Count tokens for Deepseek/Deepseek V3.1 Terminus
Paste your prompt to see exact token counts and API cost estimates.
Open Token CounterSimilar Models to Deepseek/Deepseek V3.1 Terminus
Frequently Asked Questions
How much does Deepseek/Deepseek V3.1 Terminus cost per token? +
Deepseek/Deepseek V3.1 Terminus costs $0.27 per 1M input tokens and $1.00 per 1M output tokens. For a typical 1,000-token request with a 500-token response, that works out to roughly $0.000770.
What is the context window for Deepseek/Deepseek V3.1 Terminus? +
Deepseek/Deepseek V3.1 Terminus supports a context window of 131,072 tokens (131K). This determines the maximum combined length of your prompt and conversation history in a single API call.
What is the maximum output length for Deepseek/Deepseek V3.1 Terminus? +
Deepseek/Deepseek V3.1 Terminus can generate up to 32,768 tokens in a single response. If you need longer outputs, you can make multiple API calls and concatenate the results.
Is Deepseek/Deepseek V3.1 Terminus good for coding tasks? +
Yes, Deepseek/Deepseek V3.1 Terminus supports capabilities well-suited for coding tasks including code generation, debugging, and refactoring.