20 articles tagged
OpenAI split Daybreak into Blue and Red tiers on 7 August 2026. Red bills 3.1x Blue's input rate, carries a long-context surcharge that can never fire, and is in no regional processing list.
OpenAI dropped GPT-5.6 Sol list pricing 20% on input and 33% on output on 21 August 2026. Vercel rebased its 50% discount to $2/$10 the same day. Cloudflare's 19 August page still shows $2.50/$15.
DeepSeek released V4-Flash-Vision-Exp on 21 August 2026 at V4-Flash pricing. Images bill as input tokens with a 384-token ceiling each, and the peak window covers the entire Indian working morning.
DeepSeek's V4 rate card now has two prices for every token. Peak hours are 01:00-04:00 and 06:00-10:00 UTC, off-peak is half, and one of the two peak blocks lands inside the Indian working day.
xAI announced Grok 4.6 on Amazon Bedrock at $2 input and $6 output per million tokens. AWS's own model card prices two of the three inference paths at $2.20 and $6.60, and publishes no long-context tier at all.
Zed's 1.16.1 release on 19 August 2026 switched the default model for OpenAI subscription users to GPT-5.6 Sol. Its hosted price table still carries OpenAI's pre-30-July rates for Terra and Luna, so the published Luna
Grok 4.6 matches GPT-5.6 Sol on the Artificial Analysis Intelligence Index at 60% lower headline pricing. Three billing rules decide whether that discount survives contact with a real agent workload.
Two AI code reviewers, two pricing models, one shared deadline. OpenAI retires GPT-5.4 from Codex on 31 August 2026 while GitHub's promotional credits end the same night, and the token economics move in opposite
Muse Code's contributor tier prices Muse Spark 1.2 at $0.10 per million input tokens against $1.25 on standard. The discount is real, and so is the second price: 50x fewer requests and a licence to train on your code.
DeepSeek's V4-Flash-0731 (July 31, 2026) adds native Responses API and an official OpenAI Codex path at $0.14/$0.28 per million tokens. How to wire a coding agent to it, its agent-benchmark scores, and the cost math.
OpenAI's July 30, 2026 update drops GPT-5.6 Luna to $0.20/$1.20 and Terra to $2/$12 per million tokens and folds Priority Processing into a new Fast mode. What changes for your LLM spend, and how to migrate.
Anthropic shipped Claude Opus 5 on 24 July 2026 and OpenAI shipped GPT-5.6 (Sol, Terra, Luna) on 9 July. For coding agents the two flagships cost almost the same on input and diverge on output, benchmarks and token
The price war we flagged in June arrived. On 30 July 2026 OpenAI cut GPT-5.6 Luna by 80% and Terra by 20%, and gave Sol a faster mode. Here are the new numbers, the competitive backdrop with Anthropic, and how the cut
Three budget-tier models now sit far below the flagships: Gemini 3.5 Flash-Lite at $0.30/$2.50, GPT-5.6 Luna at $1/$6, and Claude Sonnet 5 at $2/$10 per million tokens. A worked cost comparison for high-volume
Everyone compares Gemini 3.5 Pro with GPT-5.6 and Claude Fable 5 off leaked specs. Here is the honest 2026 picture: official prices and benchmarks for what ships today, and why Gemini 3.5 Pro is not really out.
Meta's Muse Spark 1.1 API launched at $1.25/$4.25 per million tokens, about a quarter of OpenAI and Anthropic rates. The real monthly cost math against GPT-5.6 and Claude, plus when switching your agents makes sense.
OpenAI's GPT-5.6 shipped on July 9, 2026 in three tiers, Sol, Terra, and Luna, priced from $1 to $30 per million tokens. How to match each tier to coding, agent, and high-volume workloads by cost.
GPT-5.6 reached general availability on July 9, 2026 as three models: Sol at $5, Terra at $2.50 and Luna at $1 per million input tokens. How to pick the right tier for coding, agents and high-volume work.
OpenAI's GPT-5.6 (Sol, Terra, Luna) went public on July 9, 2026, with Luna at $1/$6 per million tokens. We compare the new tiers to Claude Sonnet 5 and Gemini, and the levers that cut inference bills 60 to 80 percent.
Anthropic shipped Claude Sonnet 5 on 30 June 2026; OpenAI made GPT-5.6 generally available on 9 July 2026. Here is how they compare on price, agentic benchmarks, availability and governance.
