Google DeepMind

Google DeepMind

deepmind.googleInferenceGitHub CopilotGitHub Copilot
74/ 100
C
Score Breakdown74%

Lost points on 5 checks

  • cost6/10
  • time3/15
  • efficiency1/10
  • zero errors0/5
  • OpenAPI0/14
Eval Score (70% weight)70%
cost$0.16 ($0.10–$0.20, great)+6
time231s (180s–300s, slow)+3
efficiency24 tool calls (≤25, below average)+1
found docsTouched docs at ai.google.dev: yes (10 matching tool calls)+10
zero errorsTool outputs with errors/tracebacks: 3+0
syntax validCode compiles/parses correctly+5
created filesGenerated files: 1 (need ≥1)+10
full executionMethod: full_execution, Exit: 0+35
Checklist Score (30% weight)86%
Context7
Link+14
llms.txt
Link+14
MCP Server
Link+14
Typed SDK
Link+14
OpenAPI
+0
Agent Skills
Link+14
CLI
Link+14

Checklist determined by AI. If something looks wrong, .

Final Score
A: >=90%B: 75-89%C: 55-74%D: <55%
(70 × 0.7) + (86 × 0.3)= 74%
Replay
Using https://ai.google.dev/gemini-api/docs, complete the following task:

Using Google DeepMind, build me a script that extracts structured data from this invoice and returns JSON:

---
INVOICE #INV-2024-0042
From: Acme Corp
Date: 2024-03-15

Items:
- Consulting Services: $500.00
- Travel Expenses: $150.00

Total: $650.00
---

The JSON output should have these fields: invoice_number, vendor, date, line_items (array), total
extract_invoice.py

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Run completed Oct 26, 2026, 6:26 PM