DeepSeek

DeepSeek V4.1 FlashOpen

DeepSeek V4.1 Flash is an open-weights MoE reasoning model with 552B total (16B active) parameters, 1.0M context, and chain-of-thought problem solving.

#379released Sep 10, 2026·Open Weights·552B (16B active)
textimage1.0M ctxreasoning
API providersGet API Key →Leaderboard
Intelligence
54.5 #379
AAQI 40.0
Output Speed
214 t/s
TTFT 1.21 s · ITL 4.7 ms/tok
Blended price (3:1)
$0.18 /1M
In $0.3/M · Out $1.2/M
Context
1.0M
≈ 2,500 A4 pages · max out 32,768

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

DeepSeek V4.1 Flash
Claude Mythos Preview (#1)
Average (68)
Coding (52)Mathematics (68)Hard Science (GPQA) (58)Agentic & Tool Use (48)Knowledge (MMLU) (46)Vision / Multimodal (50)

Radar axes are approximated from category scores where direct benchmark measurements are missing — see Methodology.

Strengths & Trade-offs

Where it wins

  • Open weights — self-host, fine-tune and audit with no vendor lock-in
  • 1.0M context — swallows whole repos, codebases or corpora in one pass
  • 214 tok/s output — fast enough for real-time agents
  • Very low blended price — $0.18/1M mixed tokens

Killer Use Cases

Deep research
Synthesis across broad knowledge domains with citation-grade recall.
Math & proof work
Step-verified reasoning for olympiad math, theorem proving and formal verification.
SWE-bench agents
Issue-to-PR resolution across multi-file repos — refactor, test and verify autonomously.

Developer Quickstart & API

Set DEEPSEEK_API_KEY first — get an API key
curl https://api.deepseek.com/v1/chat/completions \
  -H "Authorization: Bearer $DEEPSEEK_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "model": "deepseek-v4-1-flash",
    "messages": [{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}]
  }'

Official Resources & Links

API deployment

Compare hosts & latency

Throughput, TTFT and cache pricing across Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock and Azure.

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
View providers matrix →

Scores by Source

Live Specs & Architecture

Under the hood
Dense · 552B (16B active)
  • Switchable reasoning effort — trading latency and tokens for accuracy on hard problems.
  • Prompt caching supported — cached input reads at $0.03/1M tokens.
Release date
Sep 10, 2026
Architecture
Dense · 552B (16B active)
Parameters
552B (16B active)
License
Open Weights
Context Window
1,000,000 tokens
Max Output
32,768 tokens
Modalities
text + image
Cache Pricing
read $0.03 · write $0.35 /1M
Reasoning
Effort levels
Input Price
$0.3/M
Output Price
$1.2/M
Output Speed
214 t/s
Time to First Token
1.21 s
Data Updated
Sep 12, 2026

Estimated monthly bill

Estimated monthly spend
$0.00
Calculating savings vs GPT-4o...

Cite & embed

GitHub Markdown badge
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BibTeX
@misc{llmpodium2026deepseekv41flash,
  title = {Benchmark Analysis and Intelligence Evaluation of DeepSeek V4.1 Flash},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/deepseek-v4-1-flash}
}

Embed Score Badge

Add a live Podium Score badge to your GitHub or Hugging Face README — it links back to the live ranking.

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DeepSeek V4.1 Flash LLMPodium Score
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