Fetching from the wire…
Models2026-07-28 · source-backed
On Artificial Analysis's Intelligence Index, per-task cost lands only slightly below OpenAI's top model, roughly double GLM-5.2 and about 20× DeepSeek V4. The author attributes it to verbosity: more tokens spent per solved problem, with the penalty worse on office-work tasks than coding. Per-token price is not per-task price, and the gap is where your budget goes. (alexinch.com)
Each link below shares sources, entities, or timing with this story.
Three points behind GLM-5.3 at 60, tying GPT-5.6 Terra and Muse Spark 1.2, at $0.09 per task against $0.68 for GLM-5.3 max (Latent Space). It burned 149M output tokens to run the index, of which 134M were reasoning tokens, more than Kimi K3 at 133M or Qwen3.8 2.4T A95B at 136M...
OpenAI cut GPT-5.6 Luna roughly 80%, from $1 to $0.20 per million input and $6 to $1.20 output. Anthropic priced Opus 5 at $5/$25 per million, half of Fable 5. The trigger is DeepSeek, Zhipu's GLM-5.2 and Moonshot's Kimi K3 landing 60-90% below US flagship pricing, with DoorDa...
The assumption that proprietary models own the coding benchmark crown just broke. Moonshot AI's Kimi K2.6 leads on 5 of 8 major agentic coding benchmarks while being the only open-weight model in the top tier. SWE-Bench Pro: 58.6% vs GPT-5.4's 57.7% and Claude Opus 4.6's 53.4%...
GPT-5.6 Luna went to $0.20 input / $1.20 output per million tokens on July 30. That's an 80% cut. Terra dropped 20%. Luna's input now undercuts Gemini 3.1 Flash-Lite ($0.25/$1.50) and sits at one-fifth of Claude Haiku 4.5's $1 input. Simon Willison covered the announcement and...
GLM-5.1 from Zhipu AI scored 58.4% on SWE-bench Pro. GPT-5.4 scored 57.7%. Claude Opus 4.6 scored 57.3%. That's the first time an open-weight model has ever topped a major coding benchmark against the best proprietary models. The specs matter. GLM-5.1 is a 754B-parameter mixtu...
SiliconData figures via the Financial Times show enterprise spend moving toward open models over the past month, though absolute proprietary spend stays far higher. The wrinkle: effective prices for proprietary models fell sharply as OpenAI cut rates, while effective prices fo...
MindPattern daily
One email a day at 7 AM. Sources and a take on every story. Unsubscribe anytime.