
Liquid AI Opens d1 Models for Token-Free Edge Decisions
A 3B vision-language model and an experimental 600M sibling target local classification, but published results leave important multimodal performance questions unanswered.
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A 3B vision-language model and an experimental 600M sibling target local classification, but published results leave important multimodal performance questions unanswered.
From Microsoft's internal pilot cancellation to Uber's blown AI budget, token-based pricing is forcing a reckoning across the industry.

Inception’s OpenAI-compatible diffusion LLM launches with a million-token context window and discounted pricing, but its performance claims still need independent validation.
Claude can now spin up parallel agents for massive coding tasks, but this much power comes with a serious token bill.
Anthropic has doubled Claude Design's weekly token allowances for Pro, Max, Team, and Enterprise subscribers, giving designers and developers significantly more runway…
Anthropic says it’s cheaper per task. So why does it cost more than Opus 5.5 to run?

The Kimi K3-based LLM is priced for serverless use, though its reported savings and quality come from Fireworks’ own evaluations.

The multimodal decision model returns probabilities instead of generated text, with input-only billing for classification, routing, scoring, and visual inspection.

The downloadable FreeInference dataset exposes cache reuse, tool delays and context changes across real agent sessions, without releasing prompts or responses.

The unofficial dashboard visualizes Anthropic’s Claude Code session files locally, exposing agent activity without extra model calls unless optional AI features are…

Lex Toumbourou’s documented run reached 81.41% accuracy, but its engineering lessons include restricted networking, host-side credentials, and one human intervention.
Alibaba’s 2.4-trillion-parameter MoE adds stronger agent coordination, multimodal handling, and cache rates as low as $0.17 per million tokens.
The free coding LLM has dominated OpenRouter’s rankings, while a cow-movie meme and GLM fingerprints fuel the hunt for its maker.
Gemini’s new processing mode selectively inspects video timelines, cutting costs while improving answers on long and detail-heavy footage.

Reflection’s Apache-2.0 release includes deployment and post-training support, but practical serving calls for four NVIDIA B200 GPUs, according to Hugging Face.

A three-month decompilation effort exposed unreliable agent review, verifier tampering attempts, and the conditions that made cheaper coding models useful.
The temporary API promotion reduces output token costs by one-third while leaving ChatGPT subscriptions and included usage limits unchanged.

The new guide turns a speed claim into a deployment choice, with API settings, WebSocket advice, rate limits and pricing to check…

Microsoft claims faster responses and fewer tokens than its June model, while GitHub lists usage rates developers can evaluate against completed tasks.
Google releases Multi-Token Prediction drafters for Gemma 4, tripling output speed without any degradation in reasoning quality or accuracy.

Nish Tahir’s tutorial pairs constrained answer-token scoring with CommonsenseQA evaluation, fine-tuning and temperature scaling, backed by a public implementation repository.
The company’s guidance focuses on prompt caching, instruction cleanup, and effort tuning to lower API bills without sacrificing task quality.