Meta Superintelligence Lab released Muse Ember, its lightest and most cost-efficient model yet, built for the repetitive work agents do all day: tool calls, coding subtasks, routing, extraction, and long document parsing. At 10 cents per million input tokens, Meta positions Ember as cheaper and smarter than Anthropic's Haiku and OpenAI's Luna on Artificial Analysis's composite benchmark, while staying price-competitive with open-source rivals DeepSeek V4.1 Flash and GLM 5.3 Flash. Ember is designed to pair with a larger model such as Muse Wonder inside an agentic harness.
Modelsslug: deepseek-v4-1-flash
DeepSeek-V4.1 Flash
DeepSeek's lightweight fast model variant offered with discounted credits on Workbuddy.
Curated Intelligence
TechCrunch AIT2·Models
78 pts
IT之家 · IT业界T2·Industry
22 pts
Tencent Workbuddy apologized for failing to announce the end of its DeepSeek-V4.1 Flash discount, and will settle credits consumed between Nov 5 and Nov 8 at 50% of list price, auto-refunding the difference. The incident is an operational pricing-communication misstep rather than a change in model capability or product features.