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DeepSeekReleased on Oct 17, 2026

DeepSeek-V4.1-Flash-1017: Benchmarks, Pricing & Context Window

DeepSeek-V4.1-Flash-1017 is a language model from DeepSeek, released in October 2026, with multimodal input, a 1.0M-token context window, and pricing from $0.300/M input, $0.006/M cached input, $1.20/M output.

DeepSeek-V4.1-Flash-1017 is a minor update to DeepSeek-V4.1-Flash with the same architecture and API model name deepseek-flash. It delivers substantial gains on reasoning, coding, agentic, and visual benchmarks, with shorter task runtime

Input
TextImage
Output
Text

DeepSeek-V4.1-Flash-1017 benchmarks

Capability tiers

Standing within each category, adjusted for leaderboard depth.

Real tasks performance

High-confidence performance for DeepSeek-V4.1-Flash-1017 across real-world prompt categories. Only 95% intervals at most 4 points wide are shown.

Performance by conversation depth

How DeepSeek-V4.1-Flash-1017 holds up as conversations get longer.

Quality Tracker

DeepSeek-V4.1-Flash-1017 Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

LLM Stats Logollm-stats.com - Mon Oct 19 2026
Notice missing or incorrect data?

DeepSeek-V4.1-Flash-1017 pricing

Providers

DeepSeek-V4.1-Flash-1017 starts at $0.300 per million input tokens and $1.20 per million output tokens via DeepSeek. Reused prompt prefixes cost $0.0060 per million cached input tokens.

ProviderInput $/MCached input $/MOutput $/MContext in / outTTFT p95 sOutput p5 c/sModalities in / out
DeepSeek logoDeepSeek
$0.300$0.0060$1.201.0M/393.2K
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Cached input is the discounted price for prompt tokens served from a provider cache. TTFT is time to first token. Output is characters per second; p5 is the sustained floor exceeded by 95% of observed requests.

DeepSeek-V4.1-Flash-1017 model size

DeepSeek-V4.1-Flash-1017 has 763.2 billion parameters and was trained on 45 trillion tokens. See how it compares to other models in the same parameter range.

ParametersTraining tokens
763.2BMoE
45Ttokens
59× tokens-to-params ratio
Frontier (200B+)
763.2B
1B7B70B405B

DeepSeek-V4.1-Flash-1017 context window

Input and output token limits for DeepSeek-V4.1-Flash-1017, plus how it ranks on long-context understanding.

InputOutput
1.0Mtokens
393Ktokens
≈ 1.6k pages of text
1.0M
8K128K1M

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DeepSeek-V4.1-Flash-1017 latency

DeepSeek-V4.1-Flash-1017 time to first token, sustained output throughput, and failed-request rate from live model usage over the trailing 7 days.

DeepSeek-V4.1-Flash-1017 examples

Recent arena outputs from DeepSeek-V4.1-Flash-1017, picked from the highest-ranked matchups.

DeepSeek-V4.1-Flash-1017 license

DeepSeek-V4.1-Flash-1017 is released under the MIT license, which permits commercial use, has 763.2B parameters.

License
MIT
Commercial use allowed
Parameters
763.2B

MIT License - allows commercial use

DeepSeek-V4.1-Flash-1017 resources

Official sources for DeepSeek-V4.1-Flash-1017: provider documentation, official playground, paper or system card, official launch post, source repository, model weights.

DeepSeek-V4.1-Flash-1017 vs other models

The most-compared alternatives to DeepSeek-V4.1-Flash-1017 are Gemini 3 Flash, Qwen3.7 Max, Muse Spark 1.3. Open any pair side-by-side for benchmarks, pricing, context, and latency.

Models like DeepSeek-V4.1-Flash-1017

Models ranked just above and below DeepSeek-V4.1-Flash-1017 by LLM Stats score.

 

Gemini 3 Flash

Score pending
 

Qwen3.7 Max

Score pending
 

Muse Spark 1.3

Score pending
 

GLM-4.7

Score pending
 

Gemini 4 Argon

Score pending
 

GPT-6.1 Sol

Score pending

FAQ

Common questions about DeepSeek-V4.1-Flash-1017.

When was DeepSeek-V4.1-Flash-1017 released?

DeepSeek-V4.1-Flash-1017 was released on October 17, 2026 by DeepSeek. This is the official DeepSeek-V4.1-Flash-1017 release date tracked on LLM Stats.

How much does DeepSeek-V4.1-Flash-1017 cost?

DeepSeek-V4.1-Flash-1017 pricing starts at $0.30 per million input tokens, $0.01 per million cached input tokens, $1.20 per million output tokens via DeepSeek, the lowest price among tracked providers.

How big is DeepSeek-V4.1-Flash-1017?

DeepSeek-V4.1-Flash-1017 has 763.2 billion parameters. It was trained on 45.0 trillion tokens. It ships as an open-weight model, so you can download and run it on your own hardware.

Who created DeepSeek-V4.1-Flash-1017?

DeepSeek-V4.1-Flash-1017 was created by DeepSeek.

What is the license for DeepSeek-V4.1-Flash-1017?

DeepSeek-V4.1-Flash-1017 is released under the MIT license. This is an open-source / open-weight license that permits self-hosting.

Is DeepSeek-V4.1-Flash-1017 multimodal?

Yes, DeepSeek-V4.1-Flash-1017 is multimodal and can accept both text and images as input.

Where can I use DeepSeek-V4.1-Flash-1017?

DeepSeek-V4.1-Flash-1017 is available through 1 provider including DeepSeek.

Where is the DeepSeek-V4.1-Flash-1017 paper or technical report?

DeepSeek-V4.1-Flash-1017 has a paper or technical report available at https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash/blob/main/DeepSeek_V41_Tech_Report.pdf. Use that source for architecture, training, release and evaluation details.

What models should I compare DeepSeek-V4.1-Flash-1017 against?

Common DeepSeek-V4.1-Flash-1017 comparisons include DeepSeek-V4.1-Flash-1017 vs Gemini 3 Flash, DeepSeek-V4.1-Flash-1017 vs Qwen3.7 Max, DeepSeek-V4.1-Flash-1017 vs Muse Spark 1.3. Compare them side by side for benchmark scores, pricing, context window, latency and provider availability.