Deepgram vs Continue

Side-by-side comparison to help you choose the best tool.

Deepgram

freemium

4.7 / 5.0

Deepgram is an AI speech recognition platform purpose-built for production applications, offering some of the fastest and most accurate transcription models available via API for both real-time streaming and batch audio. Its Nova-3 model delivers industry-leading word error rates while maintaining very low latency, making it the choice for voice agents, call centre analytics, and real-time captioning systems. Deepgram also provides text-to-speech and audio intelligence endpoints.

Best for: Engineering teams building real-time voice AI applications that require the lowest possible transcription latency.

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Continue

free

4.4 / 5.0

Continue is an open-source AI coding assistant that connects any LLM to VS Code and JetBrains, enabling developers to customise their AI coding experience with any model - local or cloud. It provides autocomplete, chat, and edit modes, and supports integration with local models via Ollama. Continue is popular with developers who want full control over their AI coding setup without vendor lock-in.

Best for: Developers wanting full control over their AI coding assistant — choosing any LLM, including local models, with zero vendor lock-in

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Feature Comparison

Feature	Deepgram	Continue
Pricing	freemium	free
Category	-	-
Rating	★★★★½ 4.7	★★★★☆ 4.4
Best For	Engineering teams building real-time voice AI applications that require the lowest possible transcription latency.	Developers wanting full control over their AI coding assistant — choosing any LLM, including local models, with zero vendor lock-in
Views	35	32

Pros & Cons — Deepgram

Pros

Fastest transcription latency available for real-time use cases
Highly competitive pricing at scale
On-premises and cloud options for enterprise

Cons

Dashboard and docs less polished than some competitors
Fewer out-of-the-box audio intelligence features than AssemblyAI

Pros & Cons — Continue

Pros

Completely free and open-source
Use any LLM including local models via Ollama
Full customisation and no vendor lock-in

Cons

More setup than Copilot or Codeium
Quality depends on LLM choice

Key Features — Deepgram

Ultra-low-latency real-time transcription
Nova-3 state-of-the-art ASR model
Text-to-speech API
Speaker diarisation and language detection
On-premises deployment option

Key Features — Continue

Open-source AI coding assistant
Any LLM support (cloud & local)
Ollama local model integration
VS Code & JetBrains plugins
Customisable context & prompts

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