DeepSeek V4.1 Flash
Flagshipby DeepSeek
DeepSeek V4.1 Flash shipped on September 10, 2026 and immediately became the default across the DeepSeek API. It is a 552 billion parameter mixture-of-experts, roughly double the 284 billion in V4 Flash, trained from scratch on 45 trillion multimodal tokens and built on an asymmetric Causal Encoder-Decoder: a 20-layer causal encoder feeding a 20-layer decoder, so only about 8 billion parameters activate per token on input and 16 billion on output. A separate 196 billion parameter Engram memory table sits outside that count. Context is 1,048,576 tokens with up to 384K output and native image input, and the weights are MIT licensed on Hugging Face. DeepSeek retired V4 Flash and V4 Flash Vision Exp on launch day, routing their old model names to V4.1 Flash, and announced that from September 14 every deepseek-v4-pro request would follow. That second half did not happen. On September 11, in response to user demand, DeepSeek withdrew the V4 Pro phase-out: its changelog now says it will continue providing API services for DeepSeek V4 Pro after September 14, 2026 with the billing method unchanged, so a request naming V4 Pro is still answered by V4 Pro at V4 Pro rates. The benchmark claim needs one correction to the launch coverage: V4.1 Flash beats V4 Pro on the agentic rows, not on all of them. DeepSeek reports Terminal-Bench 2.1 at 90.6 against 87.9, DeepSWE v1.1 at 74.2 against 62.7, CyberGym at 88.1 against 83.3, NL2Repo-Bench at 64.0 against 61.5, HLE with tools at 63.9 against 60.0, and a 3,471 Codeforces rating, while V4 Pro keeps GPQA Diamond (92.4 to 90.9) and HLE without tools. Every figure is self-reported. Pricing splits by the clock: $0.30 per million input tokens and $1.20 output at peak, half that off-peak at $0.15 and $0.60, with cache hits at $0.006 and $0.003. Peak is Monday through Friday, 01:00 to 04:00 and 06:00 to 10:00 UTC. Even the peak rate sits below the $0.44 and $1.32 that V4 Flash charged, so the upgrade doubles as a price cut. Budget the peak number if your workload cannot choose its hours, and treat the $0.003 cache figure as a discount on reused context only.
Input Price
$0.30
per 1M tokens
Output Price
$1.20
per 1M tokens
Context Window
1.0M
tokens
Released
2026-09
Open source
Capabilities
Key Strengths
- ✓552B MoE with ~8B active on input and ~16B on output
- ✓MIT licensed open weights on Hugging Face
- ✓1,048,576 token context with native vision and 384K output
- ✓Ahead of V4 Pro on Terminal-Bench 2.1, DeepSWE, and CyberGym, self-reported
- ✓Peak price below the V4 Flash it replaced
- ✓Off-peak rates halve to $0.15 and $0.60
Best For
- ▸Agentic coding at volume where hours are flexible
- ▸Self-hosted deployment under MIT terms
- ▸Long-context document and repository work
- ▸Cache-heavy agent loops that reuse system prompts
Benchmark Scores
| Benchmark | Score | Description |
|---|---|---|
| GPQA Diamond | 90.9 | Graduate-level science questions verified by domain experts |
| Terminal-Bench 4.0 | 11.6 | Long-horizon agentic work in a terminal across software, science, ML, operations, hardware, security, and media (66 tasks, all-or-nothing verifiers) |
| Humanity's Last Exam (tools) | 63.9 | Multidisciplinary expert-level reasoning with tool access |
Scores sourced from public benchmark datasets. See full benchmark leaderboard for all models.
Pricing Details
Input tokens
$0.30
per 1M tokens
Output tokens
$1.20
per 1M tokens
Estimated cost per 1K requests
$0.90
~1K input + ~500 output tokens avg
Prices are subject to change. Check the official documentation for current pricing. See the cost calculator for detailed estimates.
Open Source Model
DeepSeek V4.1 Flash is free to download and self-host under the MIT. Hosted API pricing varies by provider (e.g., Together, Fireworks, Groq). See our open source LLM guide for deployment options.