Inception says Mercury 3 beats GPT-6 Luna and Claude Haiku 5.5 at up to 8x the speed
Diffusion language model startup Inception AI Inc. today released Mercury 3, its new flagship model. In the company’s own benchmarks, Mercury 3 beat OpenAI Group PBC’s GPT-6 Luna and Anthropic PBC’s Claude Haiku 5.5 on eight of 12 tests at four to eight times their speed. The release takes on the main doubt about Inception’s […] The post Inception says Mercury 3 beats GPT-6 Luna and Claude Haiku 5.5 at up to 8x the speed appeared first on SiliconANGLE.
Get smart on it
Inception AI Inc. has released Mercury 3, a new language model that the company says outperforms competing models from OpenAI and Anthropic on most benchmark tests while operating at significantly higher speeds. Mercury 3 uses a different architecture than conventional language models, drafting entire responses upfront and refining them in parallel rather than generating text one token at a time, which allows it to reach 1,068 tokens per second compared to about 240 for one competitor and 130 for another. The model's speed advantage matters for real-time applications like smart glasses and tutoring software where users notice delays, with early customers reporting response times around one second. Inception, founded in 2024 by computer science professors, has priced Mercury 3 higher than competing models but is currently offering a promotional discount, and the model is available through multiple platforms and compatible with existing software written for competitor APIs.
Explainer: Choosing Your Claude Model: Why Cheaper Isn't Always Faster for Agentic Workflows
Relevant courses
Want to go deeper than the news? Explore live, cohort-based AI courses taught by practitioners.
Browse AI courses on MavenRelated news
Deepseek V4.1 Flash 1017 beats larger rivals in agentic tasks while once again massively cutting per-task costs
Deepseek has released V4.1-Flash-1017 as an open-weight model that posts better benchmarks, finishes tasks faster, and produces shorter outputs than its predecessor. The company is also opening up its internal search engine through new Search and Fetch APIs at $0.75 per 1,000 calls. API users in tools like Claude Code and Codex get free access for now. The article Deepseek V4.1 Flash 1017 beats larger rivals in agentic tasks while once again massively cutting per-task costs appeared fir
Also reported by SiliconANGLE
Four Gemini 4 Argon agents beat Minecraft without any human help
Four AI agents running on Google's Gemini 4 Argon have beaten Minecraft for the first time without human help, slaying the Ender Dragon in a fully autonomous run. With no predefined roles or strategies, they coordinated on their own, wrote 2,783 programs, exchanged 229 chat messages, and died 605 times. The session cost $1,620. The article Four Gemini 4 Argon agents beat Minecraft without any human help appeared first on The Decoder.
ALTK-Evolve: How learned memory tops the τ²-bench leaderboard on customer service tasks without a frontier model
A system using adaptive memory mechanisms outperformed larger proprietary models on customer service benchmarks, suggesting scale isn't the only path to performance.
Anthropics' Claude cracks a 25-year-old NSA cryptography mystery in under 30 minutes
Anthropic's AI model Claude has solved a 25-year-old cryptography puzzle. The mysterious seeds behind NIST's standard curves for digital signatures were provided by the NSA without explanation, raising long-standing suspicion about built-in backdoors. Claude figured out in under 30 minutes that the seeds came from "lrand48," a simple C random number generator, making deliberate backdoors far less likely. The article Anthropics' Claude cracks a 25-year-old NSA cryptography mystery i
Exa 3.0 Search API Tops Perplexity, Brave and Parallel on 8 Benchmarks
Exa has released Exa 3.0, an upgrade to its web search API for AI agents. The Exa 3.0 search API ships a larger embedding model and a cheaper search type, Exa Lite. Dynamic Highlights is now generally available. Exa claims that it leads Perplexity, Brave and Parallel on 8 benchmarks. Those benchmarks were run by Exa, so you can treat them as self-reported. For developers, the practical change is cost: Lite costs $4 per 1,000 requests. TL;DR Size: Exa tracks over 2 trillion URLs and serve
Elorian’s first AI model wants to reason with images, not just about them
According to Elorian's evaluations, Glimpse outperforms even GPT-6 Astra on scientific chart reasoning and short-form video captioning, with competitive results on other visual reasoning tasks.