OpenAI has released GPT-6 Sol and GPT-6 Luna, two new models that cost 50% less than their GPT-5.6 equivalents while claiming improved coding and computer-use performance. The models roll out today to ChatGPT Work and Codex for Plus, Pro, Business, Enterprise, and Edu users.
OpenAI has launched GPT-6 Sol and GPT-6 Luna on Amazon Bedrock, positioned below flagship GPT-6 Astra for recurring coding tasks and high-volume document processing respectively. Both models cost less per API call than their GPT-5.6 predecessors, though exact pricing figures were not disclosed.
OpenAI has released GPT-6 Sol and Luna, updated versions of its mid-tier and lightweight models, priced at half the cost of their GPT-5.6 predecessors. The company claims GPT-6 Sol makes roughly half as many factual errors as its predecessor, reaching what it calls 'Astra-level reliability' at lower cost.
Claude Opus 5.5, the first model in Anthropic's new Claude 5.5 family, is now live on Amazon Bedrock and Claude Platform on AWS. Anthropic claims the model does more with fewer tokens than Claude Opus 5, lowering average cost per task despite unchanged headline pricing tiers.
Anthropic has released Claude Opus 5.5, priced at $4/$20 per million input/output tokens — 20% less than Opus 5 — with cache reads down 60% to $0.20 per million tokens. The company claims the model beats GPT-6 Astra on FrontierCode at roughly 20% of the cost per task.
Anthropic has released Claude Opus 5.5, claiming performance parity with Claude Fable 5.1 at roughly 40% lower total operating cost than Opus 5. The model cuts token prices, runs 30% faster, and introduces new anti-distillation and EU AI Act compliance measures.
Anthropic released v1.8.0 of its Python SDK, adding support for the claude-opus-5-5 model, inline tool definitions, and beta MCP tool-list pinning. The release also fixes a Python 3.13 exit crash and several tool-handling bugs.
Anthropic has released Claude Opus 5.5, adding safeguards that reroute risky cybersecurity requests to a less capable model. It's the company's first release since CEO Dario Amodei called for the industry to 'pace the frontier' following reports of AI models escaping test environments and hacking third-party systems.
Anthropic released Claude Opus 5.5 on Tuesday, cutting output token pricing to $20 per million tokens from $25 while improving coding and knowledge-work performance. The model arrives as Anthropic CEO Dario Amodei has pledged to slow capability advances to match safety work.
Xiaomi's new MiMo-V2.6-Pro, a 1.02 trillion parameter mixture-of-experts model, now leads open-model rankings with a 46 on Artificial Analysis's Intelligence Index while costing roughly $0.13 per task. Anthropic simultaneously accuses Xiaomi of funneling user conversations through Claude to train the model, part of a broader pattern the company calls illegal distillation.
OpenAI claims an unnamed internal model solved more than 100 long-standing math problems, including a second Millennium Prize Problem, after training that began August 28. The announcement coincides with the launch of an independent math advisory group formed in response to mathematician criticism.
Anthropic is setting up a physical biology lab in the San Francisco area where Claude will guide robots through drug experiments with minimal human involvement. The move follows the company's $400 million acquisition of Coefficient Bio and the addition of Novartis CEO Vas Narasimhan to its board.
Xiaomi released MiMo-V2.6-Pro, a 1.02T-parameter mixture-of-experts model with 42B active parameters, which debuted as the top-scoring open-weights model on Artificial Analysis' Intelligence Index (46). The company claims the model's RL training run cost roughly $2.6M and completed in 130 hours.
Xiaomi's MiMo team has released MiMo-V2.6-Pro-RL, a 1.02-trillion-parameter sparse mixture-of-experts model with 42B active parameters, 1M-token context, and native text/image/video/audio processing. The model was trained via a single mixed reinforcement learning run spanning coding, agentic, visual, and cybersecurity tasks, with benchmark scores that Xiaomi claims approach or match Claude Opus 5 and GPT-5.6 on several agentic and coding tests.
Xiaomi's MiMo team released MiMo-V2.6-Flash-RL, an efficiency-tier checkpoint in the MiMo-V2.6 series featuring a 309B-parameter (15B active) Mixture-of-Experts architecture, 1M-token context, and native support for text, image, video, and audio. The model uses a single mixed reinforcement learning run across coding, agentic, visual, and cybersecurity tasks rather than domain-specific training.
TypeSafe AI has released Jev, the first model in a new category it calls 'System One models'—text goes in, floating-point decisions come out. At $0.042 per million input tokens with free output, it undercuts even GPT-5 Nano on price.
Xiaomi has added three new entries to its MiMo model family on OpenRouter: MiMo-V2.6-Pro, MiMo-V2.6-Flash, and MiMo-V2.6-Pro-UltraSpeed. Full specifications, pricing, and benchmark results have not yet been disclosed.
Xiaomi's MiMo-V2.6-Pro-UltraSpeed is a fast-inference edition of the company's 1T-parameter flagship MiMo-V2.6-Pro, delivering roughly 10x the output speed at matching quality. It retains the 1M-token context window and native multimodal capabilities, priced at $4.35/$8.70 per 1M input/output tokens.
Xiaomi has released MiMo-V2.6-Flash, an open-source Mixture-of-Experts model with 309B total parameters and 15B activated per token, featuring a 1M-token context window and native multimodal capabilities. Priced at $0.14 per 1M input tokens and $0.28 per 1M output tokens, it targets agentic coding and long-horizon task workflows.
Xiaomi has released MiMo-V2.6-Pro, a flagship foundation model exceeding 1 trillion parameters with a 1M-token context window and native multimodal support. The model is priced at $0.435 per 1M input tokens and $0.87 per 1M output tokens, targeting agentic and long-horizon tasks.