Meta releases Muse Ember, scoring 36 on Artificial Analysis index at 14 cents per task

For the head of AI platforms at a regional bank

Meta released Muse Ember, a lower-cost model for routine AI agent work, on Monday, according to VentureBeat's report on Meta's announcement.1

VentureBeat reported that one support ticket can send an agent through lookups, document reads and tool calls, and that Ember is built to handle those steps as well as jobs like running tests and making small code fixes.1

In Artificial Analysis's launch evaluation, Ember scored 36 on its Intelligence Index at maximum reasoning effort, the same rounded score as Anthropic's Claude Haiku 5.5, according to VentureBeat's report; Ember cost about 14 cents per benchmark task, compared with 41 cents for Haiku, and Meta's underlying chart puts the unrounded scores at 35.8 and 36.2, respectively.1

Meta's API lists Ember at $0.10 per million uncached input tokens and $0.50 per million output tokens up to 200,000 input tokens, the same starting rates VentureBeat reports for Haiku 5.5 and OpenAI's GPT-6 Luna.1

Above 200,000 input tokens, Meta's rates rise to $0.30 for uncached input and $1.50 for output, and the higher rates apply to the entire request, including its output.1

Anthropic's Haiku rates rise to $0.50 input and $2.50 output above 100,000 input tokens, and OpenAI's long-context Luna rates are $0.20 input and $0.75 output, so VentureBeat reports a workload with large prompts and long answers can favor Luna on token rates.1

Why it matters

Per-task cost, not per-token price, drives agent bills, so teams should test Ember on their own workloads before assuming the benchmark gap holds. Long-document jobs above 200,000 input tokens lose much of the price advantage, and Meta would be a new vendor for model risk and third-party teams to review.

From the brief

Our take. Muse Ember lists the same token price as Claude Haiku 5.5 and scored within half a point, yet cost 14 cents a benchmark task to Haiku's 41. Worth a bake-off on your tickets, after Meta clears vendor and model-risk onboarding.

Action. AI platform: Run Muse Ember and Claude Haiku 5.5 on the same servicing-ticket and extraction sample, logging cost per task and any inputs over 200,000 tokens.

What our records say

Anthropic sells banks Claude seats and API access directly and through cloud marketplaces, and in 2026 added embedded engineering with Goldman Sachs and FIS, restricted Mythos cyber-defence access for a few large banks, and a services firm co-founded with Goldman Sachs.1 Goldman Sachs and JPMorganChase offer Claude to staff, BankUnited and Flagstar run Claude in internal AI platforms, and several large banks test the restricted Mythos model.1

  1. Claude: AI programme summary

From our records

Sources

  1. ReportMeta's Muse Ember nearly matches Claude Haiku 5.5 at a third the per-task cost Venturebeat