Daylite vs Together AI: Pricing, Latency, and Features Compared
March 21, 2026 · 6 min read
Both Daylite and Together AI offer OpenAI-compatible inference APIs for open-source models. Here's an honest comparison to help you choose.
Pricing Comparison (Llama 3.1 70B)
| Metric | Daylite | Together AI |
|---|---|---|
| Standard (in/out) | $0.30 / $0.50 | $0.88 / $0.88 |
| Batch (in/out) | $0.20 / $0.35 | N/A |
| Per-customer cost tracking | Native (0ms) | No |
| Egress fees | $0 | $0 |
| Free tier | 50K requests/mo | Limited |
Latency
| Location | Daylite | Together AI |
|---|---|---|
| Bay Area | 5-8ms | ~100ms |
| US West Coast | 8-15ms | ~100ms |
| US East Coast | ~60ms | ~50ms |
When to Use Daylite
- You're in the Bay Area and need low latency
- You want the cheapest Llama/DeepSeek inference available
- You have batch workloads that can run during solar hours (60% savings)
- You care about green/carbon-negative compute
- You want zero egress fees and transparent pricing
When to Use Together AI
- You need the widest model selection (200+ models)
- You're on the US East Coast (lower latency)
- You need fine-tuning infrastructure
- You want a more mature platform with longer track record
The Honest Take
Together AI is a great product with a bigger model catalog and more features. Daylite is cheaper and faster for Bay Area users, with a unique solar energy angle. They're not mutually exclusive — many teams use multiple providers.
If you're spending $3K+/month on Llama 70B or DeepSeek inference from the Bay Area, try Daylite for your batch workloads and see the savings yourself.
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