Mistral Large 4 ships as open weights for coding and cyber
The 1.05T model has 52B active parameters and a 1M context; Mistral's ranking claims are narrower than independent scores.
The 1.05T model has 52B active parameters and a 1M context; Mistral's ranking claims are narrower than independent scores.
The trillion-parameter model leads some open coding scores but trails top Chinese models and Claude overall.
Nicknamed Le Chonk, ML4 is on Hugging Face and Mistral's API, and the company claims 47 percent fewer tokens than GLM-5.3.
It scores 59 and is limited to selected users, trailing Claude Opus 5.5 by 3 points on the coding-agent index.
DeepMind claims 88.2% on SEC-bench Pro; Artificial Analysis ranks Carbon first on Intelligence Index v5 at 59.
Carbon leads Artificial Analysis Intelligence Index v5.0 at 59 versus Argon’s 50, with stronger security-benchmark scores.
Nvidia says the 30-billion-parameter model keeps about 4 billion active and tops open-weight English ASR models.
Private tests now make up 60 percent of the index, and the open-to-closed gap rose from 3 to 12 points.
The author argues raising model scores is easier than designing evaluations that still mean something at the frontier.
The roundup also covers Genie 4's limited preview, a Lean formalization of CFSG, and disputed ETH claims.
Artificial Analysis scores it 48 on its Intelligence Index, six above GPT-5.6 Terra and four below GPT-6.1 Sol.
Hosts say weights are due by November 4 after about two weeks of exclusive access, with quality impressions still mixed.
The 2.8T mixture-of-experts model, with 104B active parameters, scored 55 on Artificial Analysis; the API is live but weights are not.
Weights stay closed until a promised November 4 release; a faster tier costs twice as much.
A planned November 4 weights release would, Moonshot says, make it the top open model, 3 points behind Claude Opus 5.5.
The listing puts Kimi K3.1 on the cost-performance Pareto line and says no public API is available.
Artificial Analysis scores the 552B MoE at 45, up six points, tying GLM-5.3 among open weights.
API pricing is $0.15 per million input tokens and $0.60 per million output tokens, with cached input at $0.015.
The listing uses Intelligence Index v4.3.2 across 10 evaluations and states no public API is available.
Gemini 4 Argon scored 97.5% on ARC-AGI-3, near GPT-6 Astra but weaker in math and coding.
Meta released Muse Spark Open, an 816B MoE that leads US open-weight models on Artificial Analysis.
Google pitches Gemini 4 Argon as one robotics model for control, simulation, and training-data grading.
SpaceXAI’s Grok Voice 3.0 voice-agent model is reported to rank first on Artificial Analysis.
Google made Gemini 4 Argon generally available, with independent benchmarks placing it near rival frontier models.
Meta Superintelligence Labs launched Muse Wonder and Muse Wonder Full, frontier models scoring near Claude Opus 5.5.
Meta released Muse Wonder and Muse Wonder Full, rated near GPT-6.1 Sol, with an llm plugin update.
Meta released Muse Wonder and Muse Wonder Full, scoring 52 and 56 on the Artificial Analysis Intelligence Index.
Anthropic released Claude Haiku 5.5, a cheaper small model priced to match GPT-6 Luna.
Mistral Large 4 scores 38 on Artificial Analysis Intelligence Index, leading non-Chinese open models but trailing Claude Opus 5.5 by 20 points.
Mistral previews Mistral Large 4, a 1-trillion-parameter open-weight multimodal model, with weights due by month's end.
Reflection launched Beam, a US-trained 501B-total, 23B-active MoE for coding and agents, with Apache 2.0 weights due this month.
Reflection AI’s Beam, a 501B open-weight coding model, trails top open models but claims lower inference compute.
Microsoft released MAI-Transcribe-2-Streaming, ranking first of 38 models on Artificial Analysis streaming speech-to-text accuracy.
Microsoft released MAI-Transcribe-2-Streaming and two MAI-Voice text-to-speech models for low-latency voice agents.
Latent Space recaps Pi 1.0 and Pi Durable plus Gemini 4 Argon, GPT-6.1 Sol, FLUX 3, and other AI launches.
Gemini 4 Argon ties GPT-6 Astra on an independent index but still trails Anthropic's top Claude models.
Artificial Analysis profiles Gemini 4 Argon, but scores and prices are not publicly listed.
GPT-6.1 Sol replaces GPT-6 Sol after seven days, landing one point below GPT-6 Astra.
A daily chart ranks LLMs by Artificial Analysis scores against blended API price.
Artificial Analysis lists Mercury 2.5 at 770 tokens per second on its model benchmark page.
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