OverpayingForAIPricing desk

Tool call · 7 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 emit a calendar tool call

Meta models side by side on "Emit a calendar tool call": Llama 4 Scout scores 10/10; Llama 4 Scout is the cheapest answer scoring 8+ at $0.03 per 1,000 runs. Outputs, checks, judge reasons, latency and cost.

The prompt every model received

System

You are a function-calling engine. Reply with JSON only, no prose, no code fences.

User

You have one tool:
{"name": "create_event", "parameters": {"title": "string", "start": "ISO 8601 date-time without timezone, e.g. 2026-01-31T09:00", "duration_minutes": "integer", "attendees": "array of email strings"}}

Produce the tool call for this user message as a JSON object of the shape {"name": string, "arguments": object}.

User: Book a 45-minute design review with [email protected] and [email protected] on 2 October 2026 at 3pm.

Rubric for the judge: Correct tool name, ISO start 2026-10-02T15:00, integer duration 45, both attendees in an array, a sensible title.

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 0/7

  • json_valid
  • json_keys
  • regex
  • contains
  • regex
  • contains
  • contains
(empty output)

Judge:

Muse Glimmer 30B

meta/muse-glimmer-30b

10/10
Latency
156ms
Cost
$0.00023
Per 1,000
$0.23

168 in · 165 out (91 reasoning) · 13 words · checks 7/7

  • json_valid
  • json_keys
  • regex
  • contains
  • regex
  • contains
  • contains
{"name": "create_event", "arguments": {"title": "design review", "start": "2026-10-02T15:00", "duration_minutes": 45, "attendees": ["[email protected]", "[email protected]"]}}

Judge: All rubric criteria met: correct tool name, proper ISO 8601 start datetime, integer duration of 45 minutes, both attendees in array format, and sensible title.

Llama 4 Maverick

meta-llama/llama-4-maverick

10/10
Latency
210ms
Cost
$6.9e-5
Per 1,000
$0.07

156 in · 55 out · 13 words · checks 7/7

  • json_valid
  • json_keys
  • regex
  • contains
  • regex
  • contains
  • contains
{"name": "create_event", "arguments": {"title": "Design Review", "start": "2026-10-02T15:00", "duration_minutes": 45, "attendees": ["[email protected]", "[email protected]"]}}

Judge: All rubric criteria met: correct tool name, proper ISO 8601 start datetime, integer duration of 45 minutes, both attendees in array format, and sensible title.

Llama 4 Scout

meta-llama/llama-4-scout

10/10
top judge scorecheapest scoring 8+
Latency
1.6s
Cost
$3.2e-5
Per 1,000
$0.03

156 in · 55 out · 13 words · checks 7/7

  • json_valid
  • json_keys
  • regex
  • contains
  • regex
  • contains
  • contains
{"name": "create_event", "arguments": {"title": "design review", "start": "2026-10-02T15:00", "duration_minutes": 45, "attendees": ["[email protected]", "[email protected]"]}}

Judge: All rubric criteria met: correct tool name, proper ISO 8601 start datetime, integer duration of 45 minutes, both attendees in array format, and sensible title.

Frequently asked

What does this prompt test?

Tool call: Correct tool name, ISO start 2026-10-02T15:00, integer duration 45, both attendees in an array, a sensible title. The deterministic checks are json_valid, json_keys, regex, contains, regex, contains, 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 $0.03 per 1,000 runs. If you need the top score, Llama 4 Scout at $0.03 per 1,000 runs.

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