# OpenAI Whisper Muse API Evaluation

**Category:** Voice STT
**Score:** 78 (B)

This is the agent-readable Devtool Arena evaluation page for OpenAI Whisper on Muse API.

## Summary

| Metric | Value |
|--------|-------|
| Status | completed |
| Overall score | 78 |
| Grade | B |
| Eval score | 74 |
| Discovery score | 86 |
| Cost | $0.16 |
| Runtime | 2m 31s |
| Tool calls | 12 |
| Errors | 3 |
| Tokens used | 582850 |
| Success | Yes |

## Agent-Readiness Checklist

| Signal | Evidence |
|--------|----------|
| Context7 | https://context7.com/openai/whisper |
| llms.txt | https://developers.openai.com/llms.txt |
| MCP server | https://github.com/openai/openai-mcpkit |
| Typed SDK | https://github.com/openai/openai-node |
| OpenAPI | https://github.com/openai/openai-openapi |
| Agent skills | Not found |
| CLI | https://github.com/openai/whisper/blob/main/pyproject.toml |

## Evaluation Prompt

````text

# Task
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. 

## Execution
After creating the script, run it to verify it works:
```bash
cd /home/daytona/app && python <your_script>.py
```

The script should print output to stdout. If there are errors, debug and fix them until it runs successfully.

````

## Grader Results

| Check | Passed | Weight | Score | Details |
|-------|--------|--------|-------|---------|
| Cost | Yes | 0 | 1 | $0.16 ($0.10–0.20, great) |
| Time | Yes | 0 | 0 | 151s (2–3min, good) |
| Efficiency | Yes | 0 | 0 | 12 tool calls (≤15, good) |
| Found Docs | Yes | 0 | — | Touched docs at platform.openai.com: yes (2 matching tool calls) |
| Zero Errors | No | 0 | — | Tool outputs with errors/tracebacks: 3 |
| Syntax Valid | Yes | 0 | — | Code compiles/parses correctly |
| Created Files | Yes | 0 | — | Generated files: 1 (need ≥1) |
| Full Execution | Yes | 0 | — | Method: full_execution, Exit: 0 |

## Run Artifacts

| Artifact | Value |
|----------|-------|
| Conversation turns | 13 |
| Tool call traces | 12 |
| Generated files | 1 |
| Exit code | 0 |
| Completed at | 2026-10-15T05:10:12.214331+00:00 |

### Generated Files

- /home/daytona/app/transcribe.py

## Related Pages

- [Muse API leaderboard](/leaderboard/muse/api)
- [Compare Muse API companies](/leaderboard/muse/api/compare)
- [Agent Landscape](/leaderboard/discoverability)

Canonical URL: https://devtoolarena.com/muse/api/openai-whisper