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OpenAI Whisper

OpenAI Whisper

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86/ 100
B
Score Breakdown86%

Lost points on 3 checks

  • time9/15
  • efficiency2/10
  • zero errors0/5
Eval Score (70% weight)81%
cost$0.08 (<$0.10, excellent)+10
time69s (60s–120s, great)+9
efficiency20 tool calls (≤20, acceptable)+2
found docsTouched docs at platform.openai.com: yes (7 matching tool calls)+10
zero errorsTool outputs with errors/tracebacks: 1+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)100%
Context7
Link+14
llms.txt
Link+14
MCP Server
Link+14
Typed SDK
Link+14
OpenAPI
Link+14
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%
(81 × 0.7) + (100 × 0.3)= 86%
Replay
Using https://platform.openai.com/docs, complete the following task:

Using the OpenAI Whisper Python SDK, build me a script that transcribes a sample audio file:

1. Install the official OpenAI Whisper Python SDK (pip install)
2. Transcribe this audio file and print the transcribed text:
   https://storage.googleapis.com/aai-web-samples/5_common_sports_injuries.mp3
3. If the SDK expects a local file, download the audio first
4. Print the transcription to stdout

You MUST use the official OpenAI Whisper Python SDK — do not make raw HTTP/REST calls.
transcribe.py

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Run completed Oct 26, 2026, 6:38 PM