DeepSWE v1.1
PulseAugur coverage of DeepSWE v1.1 — every cluster mentioning DeepSWE v1.1 across labs, papers, and developer communities, ranked by signal.
- developed V4.1-Flash-1017 95%
- instance of V4.1-Flash-1017 95%
- instance of GPT -6 Astra 90%
- instance of Gemini 4 Argon 90%
- instance of AutomationBench 90%
- instance of Vals Index 90%
- instance of CWE-bench v1 90%
- instance of Gemini 3.6 Flash 90%
- competes with Claude (Opus 5.5) 80%
- competes with GPT -6 Astra 80%
- competes with GPT 5.6 "Sol" 70%
- competes with Gemini 4 Argon 70%
9 day(s) with sentiment data
-
Beam AI Model Leaks API Keys, Exposing Security Flaws
A user reported that the Beam-1.0-501B-A23B model, developed by Reflection AI, leaked their API keys twice during a task involving email automation. The user found the model to be poor in real-world applications, partic…
-
Mistral Large 4 released with new license, demanding hardware requirements
Mistral AI has released the open weights for its trillion-parameter model, Mistral Large 4, nicknamed "Le Chonk." The model is available for download on Hugging Face and features a 1-million-token context window, multim…
-
OpenAI's GPT-6.1 Sol offers near-Astra performance at lower cost on Amazon Bedrock
OpenAI has released GPT-6.1 Sol, a new model available on Amazon Bedrock, designed to offer performance comparable to GPT-6 Astra at a significantly lower cost. This model is particularly beneficial for AI agents that r…
-
MiniMax releases 428B coding model, but self-hosting remains costly
MiniMax has released the open weights for its 428B-parameter coding and agent model, M3.1 Flash. The model boasts a 1 million token context window and multimodal input capabilities, targeting coding and AI agent tasks. …
-
MiniMax M3.1 Flash open-source model released with 428B parameters
MiniMax M3.1 Flash, a new open-source model, has been released with 428 billion parameters, activating 23 billion per token. The model demonstrates significant advancements in agentic tasks, coding, and cybersecurity, a…
-
MiniMax M3.1 Flash open weights released with vLLM day-zero hardware support
MiniMax has released the open weights for its M3.1 Flash model, a multimodal mixture-of-experts architecture with 428 billion total parameters and a 1 million token context window. The model utilizes MiniMax Sparse Atte…
-
DeepSeek V4.1-Flash-1017 offers benchmark gains with shorter outputs at unchanged API prices
DeepSeek has released V4.1-Flash-1017, an updated version of its V4.1-Flash model, available under the MIT license. This new iteration shows performance improvements across 11 benchmarks, with gains ranging from 2.0 to …
-
Google's Gemini 4 Argon now public; pricing and benchmarks detailed
Google has made its Gemini 4 Argon model generally available, following an initial two-week period accessible only to select cyber defenders. The model is available through various Google platforms and the Gemini API, w…
-
MiniMax M3.1 Flash excels in Agent tasks, challenging DeepSeek
MiniMax has released its M3.1 Flash model, which has demonstrated strong performance in complex Agent tasks, outperforming DeepSeek's V4.1 Flash-1017 in this area. While DeepSeek maintains an edge in software engineerin…
-
MiniMax M3.1 Flash launches with lower prices, API-only access
MiniMax has launched its M3.1 Flash model, offering a significant price reduction compared to its predecessor, M3, with input tokens priced at $0.15 and output tokens at $0.60 per million. While MiniMax claims a 70% cos…
-
DeepSeek V4.1 Flash 1017 debuts with major gains in coding and agent tasks
DeepSeek has released an updated version of its open-source large language model, DeepSeek V4.1 Flash 1017, on October 17, 2026. This iteration features a significant improvement across various benchmarks, particularly …
-
DeepSeek V4.1 Flash 1017 excels at coding tasks, offers flexible reasoning settings
DeepSeek V4.1 Flash 1017, released on October 17, demonstrates strong performance on coding tasks, solving all 30 small edit-and-test coding tasks with its "thinking" feature disabled. When the "thinking" feature was en…
-
MiniMax M3.1 Flash model challenges top AI with high performance and low cost · 1 source tracked
MiniMax has released its M3.1 Flash model, demonstrating strong performance across various benchmarks, particularly in agent capabilities and coding tasks. This new model achieves top-tier scores in areas like Agents' L…
-
MiniMax launches 428B M3.1 Flash MoE model with 1M context
MiniMax has launched its M3.1 Flash model, a 428B parameter Mixture-of-Experts model with a 1 million token context window. The model is available via the MiniMax API and is designed for agentic tasks, coding, and visua…
-
DeepSeek releases free coding model, undercuts search rivals
DeepSeek has released an updated version of its open-source coding model, V4.1-Flash-1017, which reportedly outperforms Claude Opus-5 and GPT-5.6 Sol on a specific coding benchmark. The company also launched free-to-acc…
-
DeepSeek launches V4.1 Flash and cheap search API, repricing AI stack · 1 source tracked
DeepSeek has released two significant updates that are poised to disrupt the AI industry. The V4.1 Flash 1017 model update, despite being labeled "minor," showed substantial improvements across multiple benchmarks, nota…
-
DeepSeek releases V4.1-Flash-1017, boosting agent performance and cutting costs · 9 sources tracked
DeepSeek has released V4.1-Flash-1017, an updated open-weight model that offers improved performance and cost efficiency for agentic tasks. This new checkpoint boasts higher scores across 11 reported benchmarks, faster …
-
Google releases Gemini 4 Argon with 1M context, but top scores use 'High' setting
Google has released its Gemini 4 Argon model, touting it as its most capable to date. The model offers a 1M token context window and advanced reasoning capabilities, with introductory API pricing set at $2 per million i…
-
Mistral Large 4 trails competitors on DeepSWE v1.1 coding benchmark
Mistral Large 4 has demonstrated a performance of 61.7% on the DeepSWE v1.1 benchmark for coding tasks. This score places it behind both Chinese open-weight models, which achieved approximately 69%, and leading closed-s…
-
Google releases Gemini 4 Argon with 1M token limit for cyber defenders
Google has announced Gemini 4 Argon, a new large language model designed for long-horizon tasks, particularly in software engineering, enterprise knowledge work, and cybersecurity. The model is being released in a phase…