Sulat.com
AI models
$10 off the fastest DeepSeek V4.1 Flash, Kimi K3 and GLM 5.3 from Synthetic
Venice AI logo

Model details

DeepSeek V4 Flash 0423

DeepSeek V4 Flash belongs to the broader deepseek family of language models and is tracked across multiple distribution channels, including a cataloged entry under the nim organization on NVIDIA NGC and a related community variant hosted on Hugging Face. This multi-channel presence signals that the model is positioned as a generally accessible text-to-text system rather than a niche research artifact, with at least one variant (DeepSeek-V4-Flash-DSpark) being discussed by DGX Spark / GB10 users in accelerated-computing forums. The forum thread links directly to a deepseek-ai hosted Hugging Face repository, reinforcing that the lineage is tied to the deepseek-ai organization and its open-weights approach to publishing models.

Practically, DeepSeek V4 Flash is best understood as a text-generation foundation model aimed at developers who want a fast, open-weight option for reasoning and structured tasks. Its appearance on NVIDIA NGC under the nim/deepseek-ai path suggests it is packaged for optimized inference on NVIDIA hardware, while the parallel Hugging Face availability gives researchers an easy path to local experimentation and fine-tuning. The combination of a large-context design, reasoning-oriented capabilities, and broad deployment support makes it a flexible choice for agent-style workflows, tool-augmented applications, and other text-heavy use cases where throughput and openness matter more than maximal scale.

Venice AIdeepseek-v4-flashdeepseek

Quick Info

Powered by
Provider
Venice AI
Model key
deepseek-v4-flash
Release date
Apr 24, 2026
Last updated
Jun 11, 2026
Knowledge cutoff
2025-05
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.138
Output token cost
$0.275

Limits

Output tokens
32,768 tokens
Context window
1,000,000 tokens

Transparent token rates

Compare DeepSeek V4 Flash 0423 pricing

Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

Browse this family

Latest news about DeepSeek V4 Flash 0423

Venice AI

Coverage

The 36Kr article states that DeepSeek V4 Flash ranked first globally on OpenRouter's weekly call-volume leaderboard with 7.22 trillion tokens for July 27 to August 2, 2026, and that on August 1 alone the model processed 8 trillion tokens in a single day (5 trillion via a free-trial quota and 3 trillion paid by develope The piece is a third-party usage and ranking report, not a first-party DeepSeek or Venice release note, so its contribution to a model-focused feed is the explicit 0423-variant adoption signal at very high token volumes rather than new benchmark or capability data. Xiaomi's MiMo-V2.5 is described as second with 5.1 tri

Venice AI

CoverageBenchmark

BlockBeats reports that in OpenRouter's weekly Token-usage ranking, "DeepSeek V4 Flash 0423" placed first with 6.92 trillion tokens, with Chinese models occupying eight of the top ten positions and only OpenAI's GPT-5.6 Luna and NVIDIA's Nemotron 3 Ultra representing US entries. The same ranking places Xiaomi's MiMo-V2 The piece is a translation of a BlockBeats flash brief rather than a first-party DeepSeek or Venice announcement, and it does not contain new technical details about the 0423 variant itself. Its signal value for a model-focused feed is the deployment-side observation that the 0423 variant leads global aggregated token

Venice AI

CoverageBenchmark

OpenRouter's model catalog lists "DeepSeek V4 Flash 0731" as a sparse Mixture-of-Experts model from DeepSeek with 13B active parameters out of 284B total, published July 31, 2026. The listing indicates the model is reposted on Venice, aligning with the subject's Venice-routed DeepSeek V4 Flash variant, and is positione The OpenRouter entry specifies a 1.05M token context window, 21.9B token variant label, and pricing of $0.14 per million input tokens and $0.28 per million output tokens. However, because the source is a third-party aggregator rather than Venice's own documentation or DeepSeek's primary release notes, these specs and p

Videos about DeepSeek V4 Flash 0423

More models around DeepSeek V4 Flash 0423