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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 one-sentence changelog summary

Meta models side by side on "One-sentence changelog summary": Llama 4 Scout scores 9/10; Llama 4 Scout is the cheapest answer scoring 8+ at $0.02 per 1,000 runs. Outputs, checks, judge reasons, latency and cost.

The prompt every model received

User

Summarise this release note in one sentence of at most 30 words. Output only the sentence.

Release 4.7.0: The public API now enforces a rate limit of 600 requests per minute per key (previously unlimited). Requests over the limit return HTTP 429 with a Retry-After header. Webhook deliveries are now signed with HMAC-SHA256 and the old unsigned mode will be removed in 4.9. We also fixed a bug where exporting more than 10,000 rows produced an empty file.

Rubric for the judge: A single accurate sentence that prioritises the rate limit and signed webhooks; no bullet list, no preamble.

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
  • regex
(empty output)

Judge:

Muse Glimmer 30B

meta/muse-glimmer-30b

9/10
Latency
294ms
Cost
$0.00041
Per 1,000
$0.41

166 in · 337 out (210 reasoning) · 27 words · checks 2/3

  • max_words
  • contains
  • regex
Release 4.7.0 adds a 600 req/min API rate limit with 429 Retry-After, HMAC-SHA256 webhook signing, deprecates unsigned webhooks for 4.9, and fixes large export empty file bug.

Judge: Accurate single sentence under 30 words (28 words), prioritizes rate limit and signed webhooks as required, no preamble or bullet list, minor: could be slightly more concise but meets all rubric criteria.

Llama 4 Maverick

meta-llama/llama-4-maverick

9/10
Latency
464ms
Cost
$4.8e-5
Per 1,000
$0.05

120 in · 34 out · 18 words · checks 2/3

  • max_words
  • contains
  • regex
Release 4.7.0 introduces a 600 requests/minute rate limit, HMAC-SHA256 signed webhooks, and fixes a bug exporting large files.

Judge: Accurate single sentence under 30 words (17 words), prioritizes rate limit and signed webhooks as required, no preamble or bullet list, minor: could emphasize the deprecation timeline more explicitly.

Llama 4 Scout

meta-llama/llama-4-scout

9/10
top judge scorecheapest scoring 8+
Latency
208ms
Cost
$2.1e-5
Per 1,000
$0.02

120 in · 31 out · 23 words · checks 3/3

  • max_words
  • contains
  • regex
The public API now has a rate limit of 600 requests per minute per key, and webhook deliveries are now signed with HMAC-SHA256.

Judge: Accurate single sentence prioritizing rate limit and signed webhooks, within 30 words (26 words), no preamble or bullet list, though minor details like HTTP 429 response omitted.

Frequently asked

What does this prompt test?

Summarise: A single accurate sentence that prioritises the rate limit and signed webhooks; no bullet list, no preamble. The deterministic checks are max_words, contains, regex.

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 $0.02 per 1,000 runs. If you need the top score, Llama 4 Scout at $0.02 per 1,000 runs.

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