DeepSeek V4-Pro
PulseAugur coverage of DeepSeek V4-Pro — every cluster mentioning DeepSeek V4-Pro across labs, papers, and developer communities, ranked by signal.
- instance of DeepSeek-V4 Flash 90%
- used by Claude Opus 4-8 90%
- used by DeepSeek-V4 Flash 90%
- developed by DeepSeek Chat 90%
- developed by Fireworks AI 90%
- affiliated with deepseek-reasoner 90%
- uses DeepClaude 90%
- used by Ascend 910C 90%
- used by Huawei Ascend 90%
- used by Tencent 90%
- uses Nexotao 90%
- used by LiveCodeBench 80%
- 2026-09-12 product_launch DeepSeek is retiring its DeepSeek V4-Pro model and rerouting all requests to the V4.1-Flash variant. source
- 2026-09-09 product_launch DeepSeek has reportedly discontinued its DeepSeek V4 Pro model. source
- 2026-09-05 product_launch DeepSeek has launched its V4 Pro model. source
- 2026-08-31 product_launch DeepSeek V4 Pro experienced significant price volatility, with reports of both a price cut and a subsequent surge. source
- 2026-08-31 product_launch DeepSeek V4 Pro announced a 22% price cut. source
- 2026-08-18 product_launch DeepSeek V4 Pro API prices increased significantly, particularly for cache hit inputs. source
- 2026-08-16 product_launch DeepSeek launched its V4-Pro model with enhanced agent capabilities and a significant price increase. source
- 2026-08-13 product_launch DeepSeek has launched its V4-Pro model and open-sourced its agent software Harness v0.1. source
- 2026-08-13 product_launch DeepSeek V4-Pro and Grok 4.6 models were identified, marking new releases in the LLM space. source
- 2026-08-13 product_launch DeepSeek is launching its V4 lineup of AI models and updating API pricing. source
- 2026-08-13 regulatory DeepSeek V4 Pro's input price increased by 86%. source
- 2026-08-13 product_launch DeepSeek has officially released the DeepSeek-V4-Pro model. source
- 2026-08-13 product_launch DeepSeek officially released its V4 Pro model on August 12, 2026, featuring significant improvements in agentic coding benchmarks. source
- 2026-08-12 product_launch DeepSeek launched its V4-Pro-0813 model with a one-million-token context window and agent-developer tooling. source
- 2026-08-03 research_milestone DeepSeek V4-Pro achieved a reported 80.6% on the SWE-bench Verified benchmark, positioning it among top closed-source models. source
17 day(s) with sentiment data
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DeepSeek V4 Pro and Nova 2.0 Lite benchmarks revealed · 2 sources tracked
Independent benchmarks reveal the performance of two large language models, DeepSeek V4 Pro and Nova 2.0 Lite. DeepSeek V4 Pro achieved high scores in reasoning-focused tasks, with 92.8% on GPQA and 80.3% on Long Contex…
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Open-Source vs. Proprietary LLMs: A Strategic Decision Framework · 3 sources tracked
The debate between open-source and proprietary Large Language Models (LLMs) is evolving, with open-source models increasingly closing the capability gap with their proprietary counterparts. While proprietary models like…
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AIBridge launches prompt library to prevent prompt amnesia
AIBridge has launched a new platform designed to help users manage and reuse their AI prompts, addressing the common issue of prompt "amnesia" where valuable prompts are lost after a single use. The service allows users…
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DeepSeek's V4.1 Flash model offers speed and low cost but struggles with market share
DeepSeek has released its V4.1 Flash model, a 552B parameter Mixture-of-Experts model that boasts impressive speed and a significantly reduced KV cache size, making it one of the cheapest frontier-class models available…
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DeepSeek launches V4.1-Flash with novel architecture for efficient AI agents
DeepSeek has released V4.1-Flash, a new open-weight flagship model featuring a novel causal Encoder-Decoder architecture. This model emphasizes extreme inference efficiency and cost-effectiveness, with a 763 billion par…
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DeepSeek retires V4-Pro model, rerouting to faster, cheaper V4.1-Flash variant · 3 sources tracked
DeepSeek is retiring its flagship DeepSeek V4-Pro model, rerouting all requests to its V4.1-Flash variant. This decision follows internal and external testing that indicated V4.1-Flash outperforms V4-Pro in capability, …
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ByteDance's HarnessDev benchmark tests LLMs' ability to build agent code
Researchers from ByteDance Seed and other institutions have introduced HarnessDev, a new benchmark designed to evaluate an LLM's ability to create its own agent harnesses. Unlike traditional benchmarks that fix the harn…
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AIBridge API prioritizes streaming for faster LLM user experience
AIBridge has launched a new API that prioritizes streaming responses to improve user experience, arguing that token-to-token delivery is more critical than raw model size for perceived performance. The service supports …
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Claude Code and Cline pricing corrected; core comparison holds
A recent comparison of Claude Code and Cline has been updated to correct pricing inaccuracies for both tools. Claude Code, previously presented as expensive pay-per-token via API, is now clarified to be included with Cl…
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PARSER agent design boosts long-context AI accuracy and speed
A new research paper introduces PARSER, a novel long-context agent design that improves accuracy and reduces latency by decoupling document traversal from reasoning. Unlike sequential agents that process chunks one by o…
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AIBridge enables OpenAI SDK access to 15 models from 4 vendors
AIBridge has launched a new service that allows developers to access 15 different large language models from four vendors using their existing OpenAI SDK. By changing just two lines of code—the API key and the base URL—…
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DeepSeek releases V4.1 Flash with efficient MoE architecture
DeepSeek has officially released its V4.1 Flash model, a 552 billion parameter Mixture-of-Experts (MoE) model featuring a Causal-Encoder-Decoder (CED) architecture and native multimodal capabilities. This new model is d…
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DeepSeek quietly retires V4 Pro model
DeepSeek has reportedly discontinued its DeepSeek V4 Pro model, with users noting its removal from Hugging Face and other platforms. This development suggests a potential shift in DeepSeek's model strategy or a transiti…
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Developer cuts AI API costs by 66% using model routing strategy
A developer detailed a strategy for reducing AI API costs by intelligently routing requests between more expensive, powerful models and cheaper alternatives. By analyzing specific tasks and ensuring that cheaper models …
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AIBridge launches API with hard spending limits for LLMs
AIBridge has launched a new API designed to mitigate the risk of runaway costs associated with leaked API keys for large language models. The service offers a single API key that can access 15 different models from four…
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Author adds DeepSeek V4-Pro for unique AI failure modes
The author details a research process for selecting an additional AI model to complement their existing subscriptions, emphasizing the need for models that exhibit different failure modes. After evaluating multiple opti…
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AIBridge advocates tiered LLM routing for speed and cost efficiency
AIBridge is promoting a strategy of using different LLM tiers for various tasks to manage latency and cost. The company suggests routing simple requests like autocomplete or classification to faster, cheaper 'flash' mod…
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DeepSeek launches V4 Pro model with enhanced reasoning and coding
DeepSeek has launched its V4 Pro model, building on previous previews. The company has focused on enhancing the model's reasoning and coding capabilities. DeepSeek V4 Pro aims to improve performance in complex tasks and…
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LLM API prices surge as DeepSeek triples rates, OpenAI cuts costs
Frontier Large Language Model (LLM) API prices, which had been stable for five months, saw significant shifts in August. DeepSeek tripled its peak rate for its V4 Pro model by introducing a tiered pricing schedule based…
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LLM benchmarks are misleading; A/B test models on your own data
The article argues that relying on public benchmarks to select the best large language model (LLM) is misleading, as these benchmarks often fail to account for specific application needs like domain vocabulary, output f…