219 summarised stories about Model Releases, each linking back to the original source. Browse all topics →
Ars Technica 3 weeks ago 51 ● 7 sources
Anthropic and OpenAI both released newer model options aimed at cutting inference costs while keeping safety protections in place. Anthropic said Opus 5.5 can deliver about 40% savings on typical workloads at default settings. OpenAI’s GPT-6 Sol and Luna also aim for similar quality with around half the usage cost compared with prior models.
Amazon Web Services 3 weeks ago 30 ● 8 sources
Anthropic made Claude Opus 5.5 available on Amazon Bedrock and Claude Platform on AWS, its first Claude 5.5 model-family release. The company says Opus 5.5 offers lower per-token prices than Claude Opus 5, with max caching reads that are much cheaper. Teams can now run longer-running agentic coding and knowledge-work tasks with clearer, refused-more-often safety behavior and lower average cost per task through AWS APIs and tooling.
The New Stack 3 weeks ago 23 ● 8 sources
Anthropic released Claude Opus 5.5 and reduced its API prices while adding a feature that can route certain requests to older models. The new model was priced at $4 per million input tokens and $20 per million output tokens, with cache reads dropping to $0.20 per million from $0.50. Pricing drops and efficiency improve, but some agent traffic may be handled by different model versions due to safety classifier rerouting, which can change downstream behavior and evaluation assumptions.
TechCrunch 3 weeks ago 13 ● 8 sources
Anthropic released Opus 5.5 on Tuesday, positioning it as stronger at coding and knowledge work than its larger Fable model. Opus 5.5 output tokens cost $20 per million tokens versus $25 for the previous Opus model. The update lowers pricing and compute, and changes communication behavior by using less jargon and placing key information earlier.
Ben's Bites 3 weeks ago 45 ● 19 sources
Jev was opened up to everyone, and builders shared examples of how they use it inside tools rather than as a general LLM. Grok 4.7 is reported as performing better than GPT-5.6-Sol and Opus 5 on benchmarks, but needing more tokens and losing cost efficiency. Claude Code reorganized projects into a single master chat in beta and will add AGENTS.md support via Claude Mods, while Speechmatics released an STT model with 25% lower cost than Deepgram Flux.
GitHub 3 weeks ago 39 ● 19 sources
Kev, a GitHub repo for small Jev-like decision models, was released with local training and a TypeSafe System One–compatible API plus a web playground. The repo ships Kev models sized 0.8B, 4B, and 9B, including a note that Kev-4B and Kev-9B fit a 32 GB Mac. Users can run a local server, call /v1/systemone with multiple question types that return calibrated probabilities and confidence, and compare answer effects via permuting and isolation demos.
MarkTechPost 3 weeks ago 42 ● 9 sources
SpaceXAI released Grok 4.7 as its new flagship model for coding, agentic tasks, and knowledge work. Grok 4.7 keeps the same pricing as Grok 4.6 at $2 per million input tokens and $6 per million output tokens. The main changes are a larger base model, a longer reinforcement learning run, improved self-verification and long-context handling, and native Grok Bot harness support, with a 500,000-token context window and updated safety measures.
Hugging Face 3 weeks ago 10
EvalEval and the UK AI Security Institute (AISI) have expanded their collaboration by using EvalEval’s Evaluation Cards infrastructure to publicly share reproducible benchmark evaluation methods and results. The release includes verified results for five benchmarks from AISI’s main experiment and covers six frontier models, including GPT-5.4. This makes the evaluation setup and configurations available alongside results for those benchmarks, enabling closer comparison and reproducibility across studies.
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18 October 2026
The sharpest AI story today isn’t a new model—it’s a new gate. U.S. banks and brokerages are blocking outside AI agents from logging into customer accounts and moving money, with Charles Schwab reporting it blocks external agents “in the tens and twenties each week.” The pattern is practical: outside assistants like Meta’s Muse can view balances and run analysis via Schwab’s MCP servers, but they can’t touch transactions. Regulators have been contacted, and the subtext is clear: as agents move from chat to action, the financial system is answering with permissions, not prompts.
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