DeepSeek V4 Flash 0731

On July 31, 2026, DeepSeek shipped DeepSeek-V4-Flash-0731, the official release of V4-Flash that supersedes the April preview at the same launch price (later shifted to peak/off-peak rates on August 16, 2026). The release posts a 82.7 score on Terminal Bench 2.1, up from 61.8 for the preview and above the larger V4-Pro DeepSeek-V4-Flash carries 284 billion total parameters with 13 billion active per token, a native one-million-token context window, and is distributed under the MIT license on Hugging Face, through the DeepSeek API, and via chat.deepseek.com. At one-million-token inputs, V4-Flash uses roughly 10% of the single-token in

DeepSeek released DeepSeek-V4-Flash-0731 on July 31, 2026 as an open model under a commercially usable license, available on Hugging Face and ModelScope under deepseek-ai/DeepSeek-V4-Flash-0731. Per DeepSeek's own X post (quoted in the article), the 0731 build keeps the exact same MoE architecture and parameter counts On Artificial Analysis intelligence evaluations, DeepSeek-V4-Flash-0731 is rated on par with Google's Gemini 3.6 Flash and ranked third among open models behind Kimi K3 and GLM-5.2. Coding benchmarks place it above GLM-5.2, and agent benchmarks show it significantly outperforming Gemini 3.6 Flash while edging out OpenA

MorphLLM's reference (verified 7 September 2026) lists the current V4-Flash checkpoint as V4-Flash-0731, GA on 31 July 2026, with 284B total / 13B active parameters, a 1,000,000-token context and 384K max output under MIT. Off-peak API pricing is given as $0.22 input / $0.66 output per 1M with a $0.007 cache-hit rate, It contrasts Flash against V4-Pro-0813 (1.6T/49B, off-peak $0.66/$1.98, cache $0.022) and lists first-party and partner runtimes including api.deepseek.com, OpenRouter, Cloudflare Workers AI, DeepInfra, Together, Lightning, NVIDIA build and NIM, LM Studio GGUF builds, and Morph's own morph-dsv4flash endpoint at 16-bit

An August 16, 2026 analysis on kie.ai describes the DeepSeek V4 Flash 0731 release as a post-training-only refresh of the April Preview rather than an architectural rebuild, keeping the same 284B total / 13B active MoE structure with a 1M-token context. Citing DeepSeek's July 31, 2026 changelog, the report says the 073 The analysis flags that the headline agent scores were produced with an unreleased "DeepSeek Harness minimal mode" and therefore should be treated as vendor-reported until independently reproduced. Independent evaluator Artificial Analysis is cited as scoring the model at 50 on its Intelligence Index (rank 3 of 101), o

DeepSeek released V4-Flash-0731 on July 31, 2026 as a retrained checkpoint of the April-previewed V4-Flash, keeping the 284B-parameter MoE backbone with 13B active parameters per token. The delta is entirely in post-training: an expanded reinforcement-learning stage targeting instruction-following fidelity, tool-call a The release is reported to beat DeepSeek's own V4-Pro-Preview on nine published benchmarks, combining open weights with what the article describes as frontier-level performance, though the piece itself flags reproducibility asterisks on the headline numbers. The economic framing emphasizes what happens when a $0.28/M-o

DeepSeek released DeepSeek-V4-Flash-0731 on July 31, 2026, publishing the weights on Hugging Face under an MIT licence and moving the official V4-Flash API into public beta. The model is a 284 billion parameter Mixture-of-Experts that activates 13 billion parameters per token, supports a 1 million token context window, DeepSeek-V4-Flash-0731 is a decoder-only MoE model with 1 shared expert and 256 routed experts per MoE layer (intermediate dimension 2048), and 6 routed experts fire per token. The deepseek-v4-flash endpoint natively supports the Responses API format and has been adapted for Codex, while the V4-Pro API and DeepSeek app

TextQL announced that DeepSeek V4 Flash 0731 is now available in its Ana analytics platform, joining Claude, GPT, and Kimi model families in the model picker. The post frames V4 Flash as an efficiency option for routine workloads—scheduled reports, straightforward tool calls, repetitive analysis—where a frontier model For TextQL/Ana users, the model is available organization-wide: admins can enable DeepSeek V4 Flash 0731 by going to Settings → Models and toggling Enabled, with full configuration options in the documentation. This integration is relevant to developers building on Ana who want a cheaper model tier for high-volume rout

A NVIDIA NIM user request thread dated 2 August 2026 asks NVIDIA to update the hosted DeepSeek V4 Flash to deepseek-ai/DeepSeek-V4-Flash-0731, characterizing it as a significant post-training upgrade with stronger coding/software engineering, better agentic reasoning and tool use, and improved coding/agent benchmark pe A subsequent reply dated 8 August 2026 states that fetching the NIM v1/models endpoint returns a list including deepseek flash 0731, indicating downstream platform adoption of the 0731 build. The thread concerns NVIDIA NIM catalog rollout, not Alibaba Token Plan, and identifies DeepSeek as the model creator.

A Medium benchmark analysis reports that DeepSeek V4 Flash 0731 now outscores DeepSeek's own flagship V4 Pro preview across all nine benchmarks DeepSeek published on July 31, including DeepSWE (54.4 vs 7.3 for the April preview), Terminal Bench 2.1, NL2Repo, Cybergym, Toolathlon-Verified, Agents' Last Exam, AutomationB The piece notes that DeepSeek V4 Flash shares the V4 series' 284B-total/13B-active MoE architecture with 1M context under an MIT licence, and points out discrepancies between reported numbers (e.g., the April preview's 7.3 DeepSWE vs. OpenRouter's reported 79.0% SWE-bench Verified). For developers, the takeaway is that

On July 31, 2026, the DeepSeek research team published the open-weight repository for DeepSeek-V4-Flash-0731 (deepseek-ai/DeepSeek-V4-Flash-0731) on Hugging Face, transitioning the high-speed model variant from preview to a production-ready release. The base architecture retains the 284B total / 13B active MoE configur The post-training overhaul reportedly boosted scores in coding, mathematics, and agentic tool-use benchmarks beyond even larger variants like the earlier V4-Pro Preview. By activating only 13B parameters per token through MoE and using Multi-Head Latent Attention, output speeds exceed traditional dense models while low

On July 31, 2026, DeepSeek's API Changelog introduced DeepSeek-V4-Flash-0731 as a Public Beta while keeping the API alias deepseek-v4-flash, updating only the V4-Flash API and leaving the web interface and V4-Pro API unchanged. Architecturally it matches the April Preview with 284B total / 13B active MoE parameters and In Artificial Analysis's Intelligence Index v4.1, DeepSeek-V4-Flash-0731 scored 50 points at Max effort, up 10 from the Preview's 40, ranking second among open-weight models behind Kimi K3 max at 57. This places it in the commercial mid-tier alongside Gemini 3.6 Flash (50), GPT-5.6 Luna (51), and GLM-5.2 (51), undercut

DeepSeek-V4-Flash-0731 was officially announced on July 31, 2026 as the General Availability (GA) release of DeepSeek's Flash model, according to a third-party Medium explainer by Mehul Gupta. The model retains the same architecture as the prior April Preview: 284 billion total parameters with 13 billion active per tok The core change in DeepSeek-V4-Flash-0731 is a significantly improved post-training pipeline targeting coding, AI agents, reasoning, and tool use. Per the announcement as summarized in the Medium article, this re-training delivers substantially better performance while keeping the same architecture, API endpoint, laten