DeepSeek-V4.1-Flash
DeepSeekapi-docs.deepseek.com/quick_start/pricing
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...
Updated 32 min ago · first seen 11 Sept 2026
model_01M293WR6HM862PR1R3X4523QG
- Context
- 1M tokens
- T1 · 50 min ago
- Released
- 10 Sept 2026
- T2 · 32 min ago
Specification
- Family
- DeepSeek
Source:DeepSeek — site & API docsT1observed 50 min agohigh
- Release date
- 10 Sept 2026
Source:OpenRouter public model & pricing listingT2observed 32 min agomedium
- Context window
- 1M tokens
Source:DeepSeek — site & API docsT1observed 50 min agohigh
- Max output
- 384K tokens
Source:DeepSeek — site & API docsT1observed 50 min agohigh
- Modalities
- image, text
Source:OpenRouter public model & pricing listingT2observed 32 min agomedium
- Input modalities
- text, image
Source:DeepSeek — site & API docsT1observed 50 min agohigh
- Output modalities
- text
Source:OpenRouter public model & pricing listingT2observed 32 min agomedium
- Tokenizer
- DeepSeek
Source:OpenRouter public model & pricing listingT2observed 32 min agomedium
- API model id
- deepseek-flash
Source:DeepSeek — site & API docsT1observed 50 min agohigh
- Hugging Face repo
- deepseek-ai/DeepSeek-V4.1-Flash
Source:OpenRouter public model & pricing listingT2observed 32 min agomedium
- Official page
Source:DeepSeek — site & API docsT1observed 50 min agohigh
- Openrouter id
- deepseek/deepseek-v4.1-flash
Source:OpenRouter public model & pricing listingT2observed 32 min agomedium
- Supported parameters
- frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, reasoning_effort, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
Source:OpenRouter public model & pricing listingT2observed 32 min agomedium
Each value shows its source, tier and observation time. Conflicting claims are kept side by side and flagged — never averaged. How AI Atlas records facts →
Provenance
Attributed facts
18
Source tiers
T1T210 / 8
Freshest observation
32 min ago
Conflicts
2 flagged
Modalities
- Modalities
- imagetext
- Input
- textimage
- Output
- text
Capabilities
Tool calling
Yes
DeepSeek — site & API docs · T1
Structured output
Yes
DeepSeek — site & API docs · T1
Reasoning
Yes
DeepSeek — site & API docs · T1
Vision
Yes
DeepSeek — site & API docs · T1
Audio
Unavailable
Fine-tuning available
Unavailable
- Context window
- 1M tokens
Source:DeepSeek — site & API docsT1observed 50 min agohigh
- Max output
- 384K tokens
Source:DeepSeek — site & API docsT1observed 50 min agohigh
- Tokenizer
- DeepSeek
Source:OpenRouter public model & pricing listingT2observed 32 min agomedium
No benchmark results recorded
Current prices
| Provider | Input / 1M | Output / 1M | Cached in | Batch in / out | Context | Observed | Source |
|---|---|---|---|---|---|---|---|
| DeepSeek APIdeepseek/deepseek-v4.1-flash | $0.15 | $0.60 | $0.003 | — | 1.05M | 32 min ago | openrouter.aiT2 |
| Fireworks AIfireworks/deepseek-v4p1-flash | $0.22 | $0.66 | $0.007 | — | — | 42 min ago | app.fireworks.aiT1 |
| DeepSeek APIdeepseek-flash | $0.30 | $1.2 | $0.006 | — | — | 50 min ago | api-docs.deepseek.comT1 |
USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.
Available through 2
Price history
Input price · USD / 1M tokens
Output price · USD / 1M tokens
- DeepSeek API
- Fireworks AI
No hardware estimate available
No lineage recorded
Papers 0
No papers linked yet.
Repositories 0
No repositories linked yet.
As of
Rewind the record: see this entity's attributes exactly as AI Atlas knew them on a given day.
Claim history · Structured output
Structured outputstructured_output1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| Yes | → current | current | DeepSeek — site & API docsT1 | high | deterministic |
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
DeepSeek API lists DeepSeek-V4.1-Flash at $0.15 in / $0.6 out per 1M tokens
openrouterFireworks AI lists DeepSeek-V4.1-Flash at $0.22 in / $0.66 out per 1M tokens
fireworks_pricingDeepSeek API lists DeepSeek-V4.1-Flash at $0.3 in / $1.2 out per 1M tokens
deepseek
| Source | Document | Type | Tier | Last observed | Snapshots |
|---|---|---|---|---|---|
| Fireworks AI — pricing | docs.fireworks.ai/serverless/pricing.md | pricing | T1· Official | 37 min ago | 1 |
| DeepSeek — site & API docs | api-docs.deepseek.com/quick_start/pricing | pricing | T1· Official | 43 min ago | 1 |
| OpenRouter public model & pricing listing | openrouter.ai/api/v1/models | catalogue | T2· Quality secondary | 32 min ago | 1 |
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.