> ## Documentation Index > Fetch the complete documentation index at: https://polargrid.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # Models > Available models, capabilities, and specifications # Models PolarGrid serves open-weight models on GPU-accelerated edge infrastructure. All models are available via our [OpenAI-compatible API](/api-reference/overview). PolarGrid runs open-source models optimized for low-latency edge inference. These models are selected for speed and efficiency in real-time applications like voice AI. For workloads that require large cloud-hosted reasoning models (e.g., GPT-4, Gemini, Claude), use those providers directly — PolarGrid does not proxy requests to third-party APIs. ## LLM Models ### Qwen 3.5 27B | | | | ---------------- | ------------------------------------------------- | | **Parameters** | 27B | | **Quantization** | FP8 (native) | | **Max context** | 8,192 tokens | | **License** | Apache 2.0 | | **Pricing** | $0.20 / 1M input tokens, $0.75 / 1M output tokens | General-purpose large language model with strong performance across reasoning, coding, and multilingual tasks. Our largest deployed LLM, suitable for complex workloads where reply quality is the priority. Available fleet-wide on every edge node. **Endpoint:** `POST /v1/chat/completions` with `"model": "qwen-3.5-27b"` *** ## Speech-to-Text Models ### Whisper Large V3 Turbo | | | | -------------- | ------------- | | **Parameters** | 809M | | **License** | Apache 2.0 | | **Pricing** | \$0.004 / min | OpenAI's Whisper model optimized for speed. Supports multilingual transcription with high accuracy. **Endpoint:** `POST /v1/audio/transcriptions` with `"model": "whisper-large-v3-turbo"` [Full model card →](/models/whisper-large-v3-turbo) *** ### Cohere Transcribe | | | | ----------------------- | -------------------------------------------------------------------------------------------------------------------------- | | **Parameters** | 2B | | **License** | [Apache 2.0](https://huggingface.co/CohereLabs/cohere-transcribe-03-2026) | | **Supported languages** | English, French, German, Italian, Spanish, Portuguese, Greek, Dutch, Polish, Chinese, Japanese, Korean, Vietnamese, Arabic | | **Pricing** | \$0.004 / min | High-accuracy multilingual transcription with support for 14 languages. Supports punctuation toggling. Available on `yvr-02` (Blackwell production). **Endpoint:** `POST /v1/audio/transcriptions?sync=true` with `"model": "cohere-transcribe-03-2026"` (use the full model ID; the short alias `cohere-transcribe` is not routable) **Latency** (yvr-02 Blackwell, external bench from a Vancouver-area laptop, 100 sync runs, 2026-05-27): server inference p50 **238 ms** / p95 **305 ms**, server-only RTF p50 **0.041** (24× faster than real time). End-to-end TTFB p50 **1068 ms** is upload-dominated — each request ships a \~300 KB WAV body before inference can start; the network leg is the upload time, not POP-to-client RTT. See the [Cohere Transcribe model page](/models/cohere-transcribe-03-2026) for the full breakdown. *** ## Text-to-Speech Models ### Hume AI TADA | | | | ----------------------- | -------------------------------------------------------------------------------------------------------------- | | **Parameters** | \~4B (Llama 3.2 3B text base + audio components) | | **License** | [Llama 3.2 Community License](https://huggingface.co/HumeAI/tada-3b-ml) | | **Output** | 24 kHz mono — caller picks the container via `response_format` (`pcm`, `wav`, or `mp3`) | | **Supported languages** | English, French, German, Spanish, Italian, Portuguese, Polish, Japanese, Arabic, Chinese | | **Capabilities** | Cross-lingual voice cloning, speed control (batch only) | | **Streaming** | ✓ chunked HTTP, `pcm` + `opus` (per-token via decoupled Triton handler; `speed` not honored in streaming mode) | | **Pricing** | \$0.009 / min | Expressive text-to-speech with cross-lingual voice cloning. Generates natural-sounding speech across 10 languages from a short reference clip. **Endpoint:** `POST /v1/audio/speech` with `"model": "tada-3b-ml"` *** ### Kokoro 82M | | | | -------------- | ------------------------------ | | **Parameters** | 82M | | **License** | Apache 2.0 | | **Streaming** | ✓ chunked HTTP, `pcm` + `opus` | | **Pricing** | \$0.006 / min | Lightweight, fast text-to-speech model. Ideal for low-latency voice applications where speed is critical. **Endpoint:** `POST /v1/audio/speech` with `"model": "kokoro-82m"` [Full model card →](/models/kokoro-82m) *** ## Voice Pipeline ### PersonaPlex | | | | -------------- | ---------------------------- | | **Parameters** | 7B | | **Pipeline** | STT + LLM + TTS (end-to-end) | | **Pricing** | \$0.070 / min | Integrated voice-to-voice pipeline that combines speech recognition, language model reasoning, and speech synthesis into a single low-latency stream. Billed by wall-clock duration. See the [PersonaPlex guide](/guides/personaplex) for setup details. *** ## Performance Latency benchmarks per model and region are actively being measured. Performance depends on: * **Client proximity** to the nearest [edge region](/guides/regions) * **Model size** — smaller models have lower TTFT and higher throughput * **Request complexity** — token count, audio length, streaming vs. batch The [autorouter](https://autorouter.polargrid.ai) optimizes for the lowest-latency region automatically. For detailed performance data, [contact us](mailto:hello@polargrid.ai). ## Custom Models Enterprise customers can deploy custom fine-tuned models on PolarGrid infrastructure. PolarGrid handles provisioning and loading — contact us to discuss your model requirements. For custom model deployments, contact [hello@polargrid.ai](mailto:hello@polargrid.ai). See full pricing details and volume discounts Full endpoint documentation