DeepSeek V3.1 Terminus
deepseek-v3.1-terminusDeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's... Built by DeepSeek.
Prices updated
Input price
$0.27
per 1M tokens · Standard
Output price
$1.00
per 1M tokens · Standard
Input limit
164K
tokens
Output limit
147K
tokens
Input formats
Output formats
DeepSeek V3.1 Terminus price history
2 price records since 9/25/2026
DeepSeek V3.1 Terminus cost calculator
$10/month
Standard pricing
Overview
What is DeepSeek V3.1 Terminus?
DeepSeek V3.1 Terminus is a text & reasoning model from DeepSeek. DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's... Its 164K context window and $0.27 input price make it a candidate for cost-sensitive, high-throughput applications.
Benchmarks
DeepSeek V3.1 Terminus benchmarks & speed
How DeepSeek V3.1 Terminus scores on standardized evaluations, and where it lands among every model we track.
13.9
Intelligence Index
Reasoning
GPQA Diamond
75.1%
Graduate-level scientific reasoning · top 63%
HLE
8.7%
Humanity's Last Exam · top 66%
Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.
Rates
DeepSeek V3.1 Terminus pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.27
Per 1M tokens
Cached input · Standard
$0.14
Per 1M tokens
Capabilities
DeepSeek V3.1 Terminus Tools
Tools available when using DeepSeek V3.1 Terminus through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Not supported
Deterministic seed
Not supported
Parallel tool calls
Not supported
Prompt caching
Not supported
Strengths and limitations
Strengths
- Low input cost at $0.27 per million tokens suits high-volume workloads.
- A 164K context window covers most focused application workflows.
- Supports text & reasoning workloads in one model.
Limitations
- Generated tokens cost 4× more than input tokens, which matters for verbose responses.
- The 164K context window is smaller than several long-context alternatives.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider