Magic vs Snowflake — Pricing, Plans, and Verified Costs (2026)
Snowflake starts at Free. Magic uses custom pricing — request a quote to compare.
How pricing works
These two tools don't price the same way, so the headline numbers below aren't directly comparable until you plug in your own volume.
- Magic (Per Usage) — Magic bills purely on usage. There is no fixed per-seat fee, so the monthly cost depends entirely on how much you consume.
- Snowflake (Per Usage) — Snowflake bills purely on usage — $2-$4+ per compute credit (per-second billing) + ~$23/TB/mo storage. There is no fixed per-seat fee, so the monthly cost depends entirely on how much you consume.
Per-minute, per-credit and per-token rates exclude any downstream model, speech or telephony costs unless the vendor states otherwise.
Frontier AI research lab building autonomous coding models with long-context capability (up to 100M tokens claimed). All pricing custom-quoted, enterprise-only. Partnered with Google Cloud for infrastructure. Focus on enterprise engineering teams that need agent capabilities with massive context windows. No self-serve.
Snowflake is the AI data cloud with decoupled compute + storage pricing. Standard ~$2/credit; Enterprise ~$3/credit; Business Critical ~$4/credit (HIPAA/PCI); Virtual Private Snowflake custom. Compute per second (60-sec minimum); storage ~$23/TB/mo. 30-day trial with $400 credit.
All plans compared
| Tier role | Plan | Magic monthly | Magic annual | Snowflake monthly | Snowflake annual |
|---|---|---|---|---|---|
| Entry paid | — / Standard | — | — | $2 | $2 |
| Teams | — / Business Critical | — | — | $4 | $4 |
| Enterprise | Enterprise | Custom | Custom | $3 | $3 |
Tier names differ across vendors. Rows are aligned by tier role, not name. Full tier structures on each tool's page.
What each is best for
Magic is worth it if… Magic is only worth engaging with if you're a large engineering org that specifically needs an AI agent with a very long context window (repositories >1M lines, or complex multi-repo reasoning). The 100M-token context claim is the differentiator.
Snowflake is worth it if… Snowflake is ideal for enterprises building a data cloud who want decoupled compute + storage billing so idle warehouses don't rack up cost.
Bottom line: Similar positioning, closer to a preference call than a strategic one.
Choose Magic over Snowflake if…
Choose Magic if…
- You want to pay only for actual usage (per usage, custom pricing).
- You match the profile Magic is built for: only worth engaging with if you're a large engineering org that specifically needs an AI agent with a very long context window (repositories >1M lines, or complex multi-repo reasoning).
- You need a general-purpose developer & infrastructure option rather than a vertical-specific one.
Choose Snowflake if…
- You want to pay only for actual usage (per usage, a free entry tier).
- You match the profile Snowflake is built for: ideal for enterprises building a data cloud who want decoupled compute + storage billing so idle warehouses don't rack up cost.
- You need a general-purpose developer & infrastructure option rather than a vertical-specific one.
At a glance
| Magic | Snowflake | |
|---|---|---|
| Free plan | No | No |
| Entry price | Custom | Free |
| Enterprise available | Yes | Yes |
| Pricing model | Per Usage | Per Usage |
| Last verified | — | September 16, 2026 |
| Full pricing | View full pricing | View full pricing |
Pricing last verified September 16, 2026. Tracked daily.