OpenAI: Whisper Large V3
openai/whisper-large-v3
Model weightsWhisper Large V3 is OpenAI's open-source automatic speech recognition model offering both audio transcription and translation. It supports 99+ languages and accepts common audio formats including mp3, mp4, wav, webm, flac, and ogg. With 1,550M parameters, it achieves a 10.3% word error rate and is well-suited for noise-robust, multilingual transcription in demanding conditions. Supports timestamp granularities at word and segment levels.
Providers
Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick: Balanced (price + speed), Nitro (fastest), or Floor (cheapest).
| $0.000008 | 0.92s | 7.5× | ||
| $0.000025 | 0.37s | 17.8× | ||
| $0.000031 | 0.31s | 19.4× |
Audio $0.0000080.92s latency100.00% uptime- Audio $0.0000250.37s latency98.27% uptime
- Audio $0.0000310.31s latency100.00% uptime
Pricing
The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.
Weighted average
Whisper Large V3 — Price history
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Performance
Latency is how long it takes to return the full transcript (lower is better). Speed is seconds of audio transcribed per second of waiting (higher is better).
P50, best provider
P50, best across providers
Uptime
Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.
Availability over the last 3 days
Last 72 hoursAvailability over the last 24 hours
When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.
Apps
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.
No chart data available
Activity
Token volume and request traffic to this model over time.
API
Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.
Not currently available through EU in-region routing. In-region routing docs
Documentation
Guides, cookbooks, blog posts, and tools for building with OpenAI: Whisper Large V3 on OpenRouter.
Frequently asked questions
Whisper Large V3 is OpenAI's open-source automatic speech recognition model offering both audio transcription and translation. It supports 99+ languages and accepts common audio formats including mp3, mp4, wav, webm, flac, and ogg. With 1,550M parameters, it achieves a 10.3% word error rate and is well-suited for noise-robust, multilingual transcription in demanding conditions.
The Whisper Large V3 documentation on OpenRouter includes the How to Build a Voice AI Agent blog post. The quickstart covers API keys and your first request, and the API reference lists every parameter.
Whisper Large V3 costs $0.000008/second.
Whisper Large V3 accepts audio as input and returns transcribed text.
Whisper Large V3 is served by 3 providers on OpenRouter: DeepInfra, Together, and Groq. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.
Whisper Large V3 was released on May 1, 2026.