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Anthropic filed a Form S-1 for a proposed IPO of Class A common stock, planning to list on the Nasdaq Global Select Market under the ticker "ANT"; share count and price range are not yet set. Latent Space reports a 1400% growth rate, 48% of revenue through cloud partners, 85% margin, $1B operating profit in Q2 and $134B cash.
Mistral Large 4 is a 1-trillion-parameter natively multimodal MoE with 52B active parameters, trained in Europe and now downloadable on Hugging Face. Mistral claims it is the best open-weight model for coding and defensive cybersecurity, edging GLM-5.3 by 1 point on coding.
DeepSeek's update scores 45 on the Artificial Analysis Intelligence Index, up 6 points and tied for #2 among open-weights models. It jumps Terminal-Bench 4.0 from 31.2 to 42.3 and hits 77.0 on DeepSWE, above Opus 5 (74.0) and GPT-5.6 Sol.
Kimi K3.1 Pro is a 2.8T-total/104B-active MoE with a 1M-token context, scoring 55 on the Artificial Analysis Intelligence Index — behind only Claude Opus 5.5 (58). Weights aren't out yet; Moonshot promises full release by Nov 4, 2026. API pricing is $2/M input and $10/M output.
The open-weight 30B MoE (~4B active) transcribes 40 languages, translates 31 to and from English, and separates up to eight speakers. It ranks first on Hugging Face's Open ASR leaderboard for English at 5.33% average word error rate, but handles only recorded audio, not live streams.
The open-weight multimodal MoE has ~23B active parameters and a 1M-token context, with reasoning always on across five effort levels. MiniMax claims 70% lower agent costs and leads Automation-Bench v1.0.6 at 62.2, but scores 38.1 on Terminal Bench 4.0 versus 51.8 for Opus 5.
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