The Orchestrator › Models › DeepSeek

DeepSeek: DeepSeek V4.1 Flash

DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...

Specifications

ProviderDeepSeek
Model IDdeepseek/deepseek-v4.1-flash
Context window1.0M tokens (1,048,576)
Modalitiestext + image → text
TokenizerDeepSeek
Router sourcesOpenRouter, TrustedRouter, Vercel AI Gateway
Released2026-09-10
Tracked since2026-11-14
Popularity#2 by usage · peak 64.7% spend share in an OpenRouter category
ReasoningOn by default

Pricing (per million tokens)

VariantSourceAPI IDInputOutputContext
standardOpenRouterdeepseek/deepseek-v4.1-flash$0.051$0.2031.0M
batchOpenRouterdeepseek/deepseek-v4.1-flash:batch$0.112$0.3361.0M
standardTrustedRouterdeepseek/deepseek-v4p1-flash$0.317$1.271.0M
standardVercel AI Gatewaydeepseek/deepseek-v4.1-flash$0.3$1.201.0M

Recorded price history

DateInput / 1MOutput / 1MContext
2026-11-14$0.3$1.201.0M
2026-11-14$0.317$1.271.0M
2026-11-14$0.317$1.271M
2026-11-14$0.011$0.1271.0M
2026-11-14$0.051$0.2031.0M

Capabilities

Vision (image input)Agentic tool useStructured outputsReasoning mode1M+ context windowControllable reasoningNo content storage (attested)

Trust flags come from TrustedRouter's per-provider attestations.

Supported parameters

frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, parallel_tool_calls, presence_penalty, reasoning, reasoning_effort, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_a, top_k, top_logprobs, top_p