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Summarise · 3 checks · max 400 tokens · benched 2026-09-16

Muse Spark 1.3 vs Muse Glimmer 30B vs Llama 4 Maverick vs Llama 4 Scout on summarise a support thread in 60 words

Meta models side by side on "Summarise a support thread in 60 words": Llama 4 Scout scores 9/10; Llama 4 Scout is the cheapest answer scoring 8+ at $0.04 per 1,000 runs. Outputs, checks, judge reasons, latency and cost.

The prompt every model received

System

You are a concise assistant. Follow length limits exactly and output plain text only.

User

Summarise the following customer support thread in no more than 60 words. Mention what the customer wanted and how it was resolved.

---
Customer (Mon 09:12): Hi, I was charged twice for my Team plan on 1 September. Order references are 88213 and 88214. I only have one workspace. Can you fix this?
Agent (Mon 10:40): Sorry about that. I can see the duplicate charge. Could you confirm the last four digits of the card so I can raise the refund?
Customer (Mon 11:02): 4471.
Agent (Mon 11:30): Thanks. I have refunded order 88214 in full (USD 96.00). It should appear on your statement within 5 business days. I have also added a note so it cannot recur next cycle.
Customer (Mon 11:35): Great, thanks for the quick turnaround.
---

Rubric for the judge: Accurate, complete summary of the double charge and its refund, within 60 words, no leaked card digits.

Side by side

Every cell is one OpenRouter call at temperature 0 with the prompt's token cap and reasoning effort "low" where the model supports it. Cost is usage × the catalogue rate in models.json. Quality is one judge call to anthropic/claude-haiku-4.5 against the prompt's rubric, cached per prompt version.

Muse Spark 1.3

meta/muse-spark-1.3

unjudged
failed: OpenRouter HTTP 403: This model requires you to complete the following before use: 18+ age confirmation. Confirm at https://openrouter.ai/settings/preferences.
Latency
0ms
Cost
$0
Per 1,000
$0

0 in · 0 out · 0 words · checks 0/3

  • max_words
  • contains
  • not_contains
(empty output)

Judge:

Muse Glimmer 30B

meta/muse-glimmer-30b

3/10
Latency
156ms
Cost
$0.00037
Per 1,000
$0.37

233 in · 273 out (186 reasoning) · 49 words · checks 2/3

  • max_words
  • contains
  • not_contains
Customer wanted a refund for a duplicate Team plan charge on 1 September, orders 88213 and 88214, with one workspace. Agent verified card ending 4471, refunded order 88214 in full USD 96.00 within 5 business days, and added a note to prevent recurrence. Customer thanked for the quick turnaround.

Judge: Output exceeds 60-word limit (62 words) and leaks sensitive card digits (4471), violating the rubric's explicit requirement to not leak card information.

Llama 4 Maverick

meta-llama/llama-4-maverick

9/10
Latency
161ms
Cost
$8.5e-5
Per 1,000
$0.09

221 in · 58 out · 45 words · checks 3/3

  • max_words
  • contains
  • not_contains
The customer was charged twice for their Team plan. The issue was resolved when the agent refunded the duplicate charge (order 88214, USD 96.00) after confirming the customer's card details, and added a note to prevent it from happening again in the next billing cycle.

Judge: Accurate summary covering what the customer wanted (fix double charge) and resolution (refund + prevention measure), well under 60 words (42 words), no card digits leaked, minor deduction for not explicitly stating the customer had one workspace.

Llama 4 Scout

meta-llama/llama-4-scout

9/10
top judge scorecheapest scoring 8+
Latency
8.8s
Cost
$4.1e-5
Per 1,000
$0.04

221 in · 62 out · 52 words · checks 3/3

  • max_words
  • contains
  • not_contains
A customer was charged twice for their Team plan. The agent identified the duplicate charge, refunded the incorrect charge of $96, and added a note to prevent future recurrence. The issue was resolved within an hour, and the customer was informed the refund would appear on their statement within 5 business days.

Judge: Accurate summary covering what the customer wanted (duplicate charge fixed) and resolution (refund issued, prevention note added), well under 60 words (52 words), no card digits leaked, though could have been slightly more explicit about the two order references.

Frequently asked

What does this prompt test?

Summarise: Accurate, complete summary of the double charge and its refund, within 60 words, no leaked card digits. The deterministic checks are max_words, contains, not_contains.

Which model should I pick for this task?

If the judge's bar of 8/10 is good enough for you, Llama 4 Scout at $0.04 per 1,000 runs. If you need the top score, Llama 4 Scout at $0.04 per 1,000 runs.

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