Deepgram vs OpenAI Pricing (2026)
How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.
| Deepgram pricing | OpenAI pricing | |
|---|---|---|
| Starts at | Custom | $8/mo |
| Number of plans | 3 | 4 |
| Free plan | ||
| Free trial | — | |
| Pricing model | usage-based | per-seat |
Price is one row. To weigh the features too, use our feature comparison template →
Pay As You Go
- All endpoint in public models
- Up to 50 for the REST API
- Up to 150 for the WSS API
- Up to 5 for Deepgram Whisper Cloud
- Up to 45 for the REST API + WSS API
- Up to 45 for the WSS API
- Up to 10 for the REST API
- Community & Discord
- Standard Uptime
Growth
Popular- All endpoints in public models
- Up to 50 for the REST API
- Up to 225 for the WSS API
- Up to 5 for Deepgram Whisper Cloud
- Up to 60 for the REST API + WSS API
- Up to 60 for the WSS API
- Up to 10 for the REST API
- Community & Discord
- Standard Uptime
Enterprise
Free
- Unlimited text chats with GPT-5.6 Luna
- Limited messages with uploads
- Limited image creation
- Limited voice chats
- Limited deep research
- Limited memory and context
- Limited Codex access
- Limited ChatGPT Work access on desktop
Go
- More messages with tools
- More uploads
- More image creation
- More voice chats
- Longer memory
Plus
Popular- Advanced reasoning models with GPT-6
- Expanded messages and uploads
- More complex and accurate image creation
- Expanded deep research
- Expanded memory and context
- Projects, scheduled tasks, and custom GPTs
- Expanded Codex usage
- Expanded access to ChatGPT Work on desktop, web, and mobile
- Early access to new features
Pro
- Your choice of 3 usage tiers
- Pro reasoning powered by GPT-6 Astra
- Longer Codex and ChatGPT Work sessions
- Dot, your always-on agent
- Unlimited and faster image creation
- Maximum deep research
- Maximum memory and context
- Expanded projects, tasks, and custom GPTs
- Research preview of new features
Deepgram vs OpenAI FAQ
- Which one is cheaper?
- One or both use custom pricing, so it depends on your specific needs.
- Can I use either one for free?
- Both offer free plans, so you can try each without paying. Start with whichever fits your workflow better and upgrade when you hit the limits.
- How do they charge?
- Different approach here. Deepgram uses usage-based pricing, while OpenAI goes with per-seat. That changes the math depending on your team size and usage.
- Which one is a better deal?
- Depends on what you need. Deepgram: Deepgram plays the developer-friendly, usage-first lane against AssemblyAI and cloud giants like Google/AWS speech APIs — cheap to start, transparent-ish per-minute rates, but pricing opacity creeps in once you're comparing STT models, TTS, and Voice Agent add-ons that aren't in the tier table. They're chasing technical buyers who want to prototype fast and scale on consumption rather than negotiate a seat-based contract upfront. OpenAI: At $20/mo, Plus sits right at the now-standard price point for consumer AI subscriptions (matching Claude, Gemini Advanced), so they're not competing on price at the mid-tier — they're competing on being the default. The $8 Go tier is a newer, cheaper wedge clearly aimed at price-sensitive users tempted by free alternatives, while Pro at $100+ chases power users and prosumers away from needing API access.
Still deciding? See the best Deepgram alternatives or the best OpenAI alternatives, ranked with verified pricing.
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