# VoiceCodeBench / wer

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Can speech recognition preserve exact structured values in workplace audio?

Canonical URL: https://benchize.com/benchmarks/vals-ai%3Avoice-code-bench%3Awer
Last updated: Wed, 21 Oct 2026 18:05:10 GMT

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Can speech recognition preserve exact structured values in workplace audio?

Multimodal · Models tested: 1 · Score publishers: Vals AI

## Model results

| # | Model | Score | ± | Cost | Latency |  |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | [GPT-4o Transcribe](https://benchize.com/models/gpt-4o-transcribe.md) | 4.04% | SE ±0 pp | $0.00312 | 2.66source duration |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 4.041 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.003121 \| USD \| per_test \| Lower is better \| \| `latency` \| 2.661 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens Not reported provider OpenAI reasoning Not reported Reasoning effort unknown Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±0 pp sourcePopulation 20 stderr 0 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_voice_code_bench.BBxJTuao.json) Source Vals AI Original model label openai/gpt-4o-transcribe Source version 1 Observed 2026-10-21T16:46:08.124Z Evidence SHA-256 `7753d162bfe3fa3470d586da3917bf8ddd96f14e10f9aa8f03dd517b8d5f003b` Source locator `/tasks/wer/openai~1gpt-4o-transcribe` |  |  |  |  |  |  |

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Cite as: VoiceCodeBench / wer — Benchize, https://benchize.com/benchmarks/vals-ai%3Avoice-code-bench%3Awer (retrieved 2026-10-21)