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DeepSeekReleased on Apr 23, 2026

DeepSeek-V4-Flash-Max: Benchmarks, Pricing & Context Window

DeepSeek-V4-Flash-Max is a language model from DeepSeek, released in April 2026, with a 1.0M-token context window, and pricing from $0.090/M input, $0.018/M cached input, $0.180/M output.

DeepSeek-V4-Flash-Max is the maximum reasoning effort mode of DeepSeek-V4-Flash, a 284B-parameter MoE model with 13B activated parameters and a 1M-token context window. Sharing the V4 series' hybrid attention architecture (Compressed

Input
Text
Output
Text

DeepSeek-V4-Flash-Max benchmarks

Capability tiers

Standing within each category, adjusted for leaderboard depth.

Real tasks performance

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

Performance by conversation depth

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

Quality Tracker

DeepSeek-V4-Flash-Max Performance Across Datasets

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

LLM Stats Logollm-stats.com - Wed Sep 09 2026
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DeepSeek-V4-Flash-Max pricing

Providers

DeepSeek-V4-Flash-Max starts at $0.0900 per million input tokens and $0.180 per million output tokens via DeepInfra. Reused prompt prefixes cost $0.0180 per million cached input tokens. See all 2 providers below with their per-token pricing, latency, throughput, and modality support.

ProviderInput $/MCached input $/MOutput $/MContext in / outTTFT p95 sOutput p5 c/sModalities in / out
DeepInfra logoDeepInfra
$0.0900$0.0180$0.1801.0M/1.0M
/
DeepSeek logoDeepSeek
$0.140$0.0028$0.2801.0M/393.2K
/

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.

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DeepSeek-V4-Flash-Max model size

DeepSeek-V4-Flash-Max has 284 billion parameters and was trained on 32 trillion tokens. See how it compares to other models in the same parameter range.

ParametersTraining tokens
284BMoE
32Ttokens
113× tokens-to-params ratio
Frontier (200B+)
284B
1B7B70B405B

DeepSeek-V4-Flash-Max context window

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

InputOutput
1.0Mtokens
1.0Mtokens
1.6k pages of text
1.0M
8K128K1M

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DeepSeek-V4-Flash-Max latency

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

DeepSeek-V4-Flash-Max examples

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

DeepSeek-V4-Flash-Max license

DeepSeek-V4-Flash-Max is released under the MIT license, which permits commercial use, has 284.0B parameters.

License
MIT
Commercial use allowed
Parameters
284.0B

MIT License - allows commercial use

DeepSeek-V4-Flash-Max resources

Official sources for DeepSeek-V4-Flash-Max: provider documentation, official playground, source repository, model weights.

DeepSeek-V4-Flash-Max vs other models

The most-compared alternatives to DeepSeek-V4-Flash-Max are Gemini 3 Pro, Gemini 3 Flash, GPT-5 Medium. Open any pair side-by-side for benchmarks, pricing, context, and latency.

Models like DeepSeek-V4-Flash-Max

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

 

Gemini 3 Pro

Score pending
 

Gemini 3 Flash

Score pending
 

GPT-5 Medium

Score pending
 

GPT-5.1 High

Score pending
 

MiMo-V2.5-Pro

Score pending
 

GPT-5.2

Score pending

FAQ

Common questions about DeepSeek-V4-Flash-Max.

When was DeepSeek-V4-Flash-Max released?

DeepSeek-V4-Flash-Max was released on April 23, 2026 by DeepSeek. This is the official DeepSeek-V4-Flash-Max release date tracked on LLM Stats.

How much does DeepSeek-V4-Flash-Max cost?

DeepSeek-V4-Flash-Max pricing starts at $0.09 per million input tokens, $0.02 per million cached input tokens, $0.18 per million output tokens via DeepInfra, the lowest price among tracked providers.

How big is DeepSeek-V4-Flash-Max?

DeepSeek-V4-Flash-Max has 284 billion parameters. It was trained on 32.0 trillion tokens. It ships as an open-weight model, so you can download and run it on your own hardware.

Who created DeepSeek-V4-Flash-Max?

DeepSeek-V4-Flash-Max was created by DeepSeek.

What is the license for DeepSeek-V4-Flash-Max?

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

Where can I use DeepSeek-V4-Flash-Max?

DeepSeek-V4-Flash-Max is available through 2 providers including DeepInfra, DeepSeek.

What models should I compare DeepSeek-V4-Flash-Max against?

Common DeepSeek-V4-Flash-Max comparisons include DeepSeek-V4-Flash-Max vs Gemini 3 Pro, DeepSeek-V4-Flash-Max vs Gemini 3 Flash, DeepSeek-V4-Flash-Max vs GPT-5 Medium. Compare them side by side for benchmark scores, pricing, context window, latency and provider availability.