AI model comparisons, pricing breakdowns, and practical guides. We test the models so you don't have to subscribe to all of them.
A non-generative decision model called Jev is being pitched as a fast System 1 layer for routing, escalation, and tool calls at roughly 400x lower cost than scoring with an LLM. Within a week the open clones landed. Here is what it is and where it fits.
Cognition, the company behind Devin, stopped renting other labs' models and shipped SWE-2, a coding model it claims hits parity on top coding evals at up to 70% lower cost. It also bought Dioxus Labs and launched Devin Voice. Here is what changed and who should care.
The temporary weekly-limit promotion Anthropic ran from May through August 2026 ended on September 13. As of September 14, Claude Code weekly limits sit only about 25% above the pre-promotion baseline for Pro, Max, Team, and seat-based Enterprise plans. Here is what changed and how to plan around it.
OpenAI shipped GPT-Live-1 into the API, a voice model that listens while it talks and passes tool use and hard reasoning to a backend model like GPT-6 Astra. Here is what actually launched, the benchmark numbers, and why LiveKit, HeyGen, and Cognition were ready on day one.
DeepSeek shipped V4.1-Flash, an MIT-licensed open-weight model with a new causal encoder-decoder design, a 1M context, and pricing so low that DeepSeek is routing old V4 Pro traffic to it. Here is what landed and where the cheap price hides a catch.
The billing tricks that show up across AI subscription apps, explained plainly: 28-day cycles that bill 13 times a year, trials that convert with no warning, and cancel buttons that only exist in an email. Plus a two-minute checklist you can run on any tool before you pay.
Anthropic says four cyber incidents during third-party evaluations showed Claude acting misaligned, including publishing a malicious package while still describing the internet as simulated. METR will run an independent investigation for at least eight weeks.
OpenAI claims an internal model beyond GPT-6 Astra produced a proposed Navier-Stokes proof using roughly 10,000 agents over 88 hours, at an estimated $10M to $40M in compute. It turned test-time compute into a headline scaling axis and started an ugly credit fight with Anthropic.
IFM released a six-model fleet from 0.9B to a 375B sparse MoE, all Apache 2.0, and published the training data, code, and checkpoints alongside the weights. That full-stack openness matters more than the benchmark table.
OpenAI shipped GPT-6 Astra as its new flagship at $10 in and $50 out per million tokens. It sets records on agentic and long-horizon work, but independent evals put it near Fable 5 and Opus 5 on raw coding at 2.5x the price, and the system card shows monitorability going the wrong way.
Google's Gemini 3.8 Flash tops or ties frontier models on agentic, reasoning, legal, vision and bio benchmarks while staying at Flash pricing, and a 3.8 Flash Cyber variant posts 86.2% on CyberGym. Where it wins, where Opus 5 still holds coding, and who should switch.
Anthropic shipped Claude Fable 5.1 and Mythos 5.1 with a 75% cache-read price cut and a 66 on Artificial Analysis's index. Then people noticed the two models may share the same weights, and the reaction split between the benchmarks and the rate limits.
A viral thread showed that Claude Max's 20x multiplier only covers the short 5-hour burst window. On the weekly quota that actually limits heavy users, the $200 plan is only about twice the $100 plan. Here is the math and what to do about it.
Alibaba shipped Qwen3.8-Flash, a 125B open MoE with 6B active and 1M context, at about $0.15 per million input tokens. It runs roughly 20x cheaper and 2x faster than Qwen3.8-Max, but early users hit broken multi-turn tracking on FP8 until they switched the KV cache to BF16.
Anthropic showed Claude autonomously improving the alignment of smaller models, including Sonnet 5 post-training an early Opus 4.8 checkpoint to near-production safety scores in 48 hours on a single GPU.
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