LLM ReferenceLLM Reference

DeepSeek V3.1 Terminus

deepseek-v3.1-terminus

Researched 29d ago

Last refreshed 2026-05-11. Next refresh: weekly.

Open SourceRAGLong contextClassificationJSON / Tool use

DeepSeek V3.1 Terminus is worth evaluating for rag, long context, and classification when its provider route and context window match the workload.

Decision context: RAG task fit, 2 tracked provider routes, and research from 2026-04-19.

Use it for

  • Teams evaluating rag, long context, and classification
  • Workloads that can use a 164K context window
  • Buyers comparing 2 tracked provider routes

Do not use it for

  • Vision or document-understanding workloads

Cheapest output

$0.790

OpenRouter per 1M tokens

Provider routes

2

Tracked API hosts

Quality / dollar

Unknown

No task benchmark coverage yet

Freshness

2026-04-19

Researched 29d ago

fresh

Top use-case fit

RAG

Included by capability and metadata signals in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Classification

Included by capability and metadata signals in the decision map.

Provider price ladder

ProviderInput / 1MOutput / 1MRoute
OpenRouter$0.210$0.790
Serverless
NVIDIA NIM--
ServerlessPartial

Benchmark peer barsfor RAG

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

About

DeepSeek: DeepSeek V3.1 Terminus available via OpenRouter. Pricing: $0.21/1M input, $0.79/1M output.

DeepSeek V3.1 Terminus has a 164K-token context window.

DeepSeek V3.1 Terminus input tokens at $0.21/1M, output at $0.79/1M.

Capabilities

Structured Outputs

Rankings

Specifications

FamilyDeepSeek
Released2025-04-01
Context164K
ArchitectureDecoder Only
Specializationgeneral

Created by

Advancing artificial general intelligence (AGI).

Hangzhou, Zhejiang, China
Founded 2023
Website