Articles Tagged “LLM Release”
9 articles found

Claude Haiku 5.5 Pricing: What a 90% Cheaper Haiku Unlocks
Claude Haiku 5.5 launches at $0.10 per million input tokens with a 1M context window, adjustable effort, and a 72.4% OSWorld score, up from 15.7%.

Mistral Large 4: What a 1T Open-Weight Model Means for You
Mistral Large 4 packs 1 trillion parameters with 49B active, costs $1.36 per million input tokens, and its open weights are due by the end of October.

Tencent Hy4 Ships 770B Open Weights Under Apache 2.0
Tencent open-sourced Hy4 preview on August 28 with 770B total parameters, 49B active per token, a 1M-token context window and Apache 2.0 weights.

Gemini 3.7 Flash Benchmarks: What Developers Get Now
Gemini 3.7 Flash arrived August 13 with DeepSWE v1.1 at 65.3%, WebDev Arena Elo of 1588, and intro pricing of $0.75 per million input tokens.

Kimi K3 Open Weights Ship 2.8T Parameters and 1M Context
Moonshot AI released Kimi K3 open weights on July 26: 2.8 trillion parameters, 104B active per token, 1M context, and a modified MIT license.

Grok 4.5 Arrives as an Opus-Class Coding Model at Budget Pricing
xAI's Grok 4.5 lands as an Opus-class coding and agentic model — trained alongside Cursor, priced low, and available today across Grok, Cursor, and the console.

OpenAI GPT-6 Arrives With 2M Token Context and Sub-0.1% Hallucination Rate
OpenAI's GPT-6 sets a new benchmark ceiling: 2 million token context, under 0.1% hallucination rate, and 40%+ gains over GPT-5.4 across coding, reasoning, and agentic task completion.

Meta Muse Spark Launches From Superintelligence Labs: Personal AI Gets Its Biggest Upgrade Yet
Meta Superintelligence Labs launched Muse Spark on April 9 — a natively multimodal reasoning model now powering personal AI across all Meta platforms.

OpenAI Launches GPT-5.4 With Native Computer Use, 1M Token Context, and 33% Fewer Errors
OpenAI's newest frontier model can autonomously operate your desktop, processes up to a million tokens of context, and cuts hallucinations by a third compared to GPT-5.2.
