Agent news
NEWS
Coverage of AI agent launches, model releases, pricing, and security, with links to related software and agent profiles.
Kimi K3.1 Pro cuts API rates; weights promised by November 4
Moonshot's new model lowers K3's per-token API rates by a third. Independent testing puts it near the top on intelligence, but slow output and heavy token use complicate the savings.
Grok Voice 3.0 tops the independent speech-to-speech index at the same $0.08 a minute
SpaceXAI’s new voice model now runs every agent that uses the grok-voice-latest alias. Artificial Analysis ranks it first overall, but the same leaderboard shows GPT-Live-1 ahead on agentic support calls and a Gemini model ahead on human preference.
Meta’s Muse Wonder reaches the API at $4/$20, while Wonder Full stays inside Muse Code
Meta’s new frontier pair targets personal and professional agents. Muse Wonder is in preview on the Meta Model API with a 1M-token context; the stronger Muse Wonder Full is limited to higher Muse Code plans, which default to training on your content.
Claude Haiku 5.5 brings cheaper tokens and adjustable effort to subagents
Anthropic’s small model adds a million-token context and adjustable effort. The cheapest rates stop at 100,000 prompt tokens, and its strongest benchmark scores do not represent the default setting.
OpenAI’s Decisions API enters public beta for fixed-answer agent routing
The new endpoint turns text and images into probabilities, categories or rubric scores. Its narrow output contract brings input-only billing to routing work, but evaluation and permissions remain the builder’s responsibility.
Gemini 4 Argon starts with cyber defenders, not a public API
Google’s new frontier model promises a one-million-token output ceiling and long-horizon coding gains. The first access is tightly restricted; its advertised API price is for a later launch.
GPT-6.1 Sol narrows the gap to Astra, but the price claim has boundaries
OpenAI's new model reaches Work, Codex and the API before Chat. Its standard input and output rates are one-fifth of Astra's; the benchmark and caching picture is more complicated.
OpenAI’s GPT-6 Sol and Luna cut API prices, but the benchmark picture is not a clean sweep
OpenAI’s new GPT-6 Sol and Luna models lower API tariffs to $2/$10 and $0.10/$0.50 per million input/output tokens. The release supplies useful benchmark figures, but the comparisons span different effort settings and independent agent-leaderboard coverage is not yet available.
Claude Opus 5.5 lowers API prices, but its benchmark story needs more than a 40% headline
Anthropic’s new flagship model starts at $4 per million input tokens and $20 per million output tokens. Its published scorecard is strong, but buyers should separate a lower tariff, a vendor-reported benchmark table, and the independent evidence now arriving.
GPT-6 Astra is live. OpenAI calls it the most intelligent model. The vendor table is more complicated.
OpenAI launched GPT-6 Astra on September 3 with SOTA computer-use and math scores, $10/$50 API pricing, and a mixed vendor scorecard against Claude Fable 5.1.
OpenAI Cuts GPT-5.6 Sol to $4 / $20 for Three Months
The flagship API rate is now $4 input and $20 output per million tokens, promotional through at least November 21. ChatGPT Pro, Plus, and Business allowances did not move.
OpenAI Cuts GPT-5.6 Luna to $0.20 Per Million Input Tokens
OpenAI has cut GPT-5.6 Luna API input pricing to $0.20 per million tokens, cut Terra by 20%, and added Sol Fast Mode for latency-sensitive work.
OpenAI GPT-5.6 turns frontier intelligence into a control surface
Sol, Terra, and Luna give OpenAI one model generation at three price points, while max reasoning, ultra multi-agent execution, and programmatic tool calling let users decide how much compute a job deserves.