
Captured November 4, 2026 at 1440px wide.
SambaNova plans and prices
| Plan | Price | Billing |
|---|---|---|
| MiniMax-M3.1-Flash | 0.30 USD | Input (per 1M tokens) |
| gemma-4-31B-it | 0.38 USD | Input (per 1M tokens) |
| gpt-oss-120b | 0.22 USD | Input (per 1M tokens) |
| Meta-Llama-3.3-70B-Instruct | 0.60 USD | Input (per 1M tokens) |
As printed on the page captured November 4, 2026.
How does SambaNova pricing work?
The value metric is the token, priced per million and split three ways in the column headers: 'Cached Input Tokens', 'Input (per 1M tokens)' and 'Output (per 1M tokens)'. Packaging is the model list itself. Four models, MiniMax-M3.1-Flash, gemma-4-31B-it, gpt-oss-120b and Meta-Llama-3.3-70B-Instruct, each carry their own rates, so choosing a model is choosing a price. Output runs above input on every row, about 2x on Meta-Llama-3.3-70B-Instruct (0.60 USD to 1.20 USD) and 4x on MiniMax-M3.1-Flash (0.30 USD to 1.20 USD), which follows the higher cost of generating a token than reading one.
The motion is self-serve, and the page lives inside the cloud console. A left nav runs 'Dashboard', 'Playground', 'API Keys', then 'Plans', which opens to 'Pricing', 'Billing', 'Usage' and 'Commits and Credits', with 'Login/Signup' at the foot. The page itself is an H1, 'Pricing', over one table. It is written for a developer who has already arrived: the rate card sits one click from an API key and a playground, and the buying journey is sign up, create a key, call a model.
Under the hood, this is a dimensional price: one meter, tokens, with the rate looked up by model and by token type. The cached input rate on MiniMax-M3.1-Flash, 0.03 USD against 0.30 USD for fresh input, passes the saving from prompt reuse to the buyer, and 'N/A' marks the three models where the page lists no cached rate. 'Commits and Credits' as its own page under Plans points to committed spend and prepaid balances beside pay-as-you-go, the route larger inference buyers take to a better rate. Worth borrowing: the rate card placed next to Billing and Usage, so the price, the meter and the bill share one menu.
What does SambaNova's pricing page do well?
- The column headers carry the unit, 'Input (per 1M tokens)' and 'Output (per 1M tokens)', so every cell reads as a rate without a footnote
- 'N/A' fills the cached column for gemma-4-31B-it, gpt-oss-120b and Meta-Llama-3.3-70B-Instruct, a stated answer in every cell
- Pricing sits in the console nav beside 'Billing', 'Usage' and 'Commits and Credits', so rate, meter and invoice are neighbors
- 'Playground' and 'API Keys' are one click from the rate card, so a developer can try a model at the price just read
What does SambaNova's pricing page reveal about its pricing strategy?
- A cached input rate of 0.03 USD against 0.30 USD on MiniMax-M3.1-Flash prices prompt reuse at a tenth of a fresh read
- Output-to-input ratios run from 2x to 4x by model, so each row carries that model's own serving economics
- gpt-oss-120b at 0.22 USD input sits below Meta-Llama-3.3-70B-Instruct at 0.60 USD, so rates follow the cost of serving each model, not the size in its name
- 'Commits and Credits' under Plans points to committed spend and prepaid balances sitting behind the per-token list
Learn with Orb
- ProductPrice modeling Each SambaNova model carries its own 'Cached Input Tokens', 'Input (per 1M tokens)' and 'Output (per 1M tokens)' rates, a dimensional price keyed by model and token type, the pricing logic Orb's price modeling is built to represent.
- GuidePay-as-you-go pricing for SaaS A four-row rate card one click from 'API Keys' and 'Playground' lets a developer start paying per token with no plan to choose, the low-barrier entry Orb's pay-as-you-go guide describes.
- GuideAn AI founder's guide to prepaid credits 'Commits and Credits' sits under Plans beside the per-token list, the choice between committing a dollar amount and buying credits that Orb's founder's guide to prepaid credits walks through.
Questions about SambaNova pricing
How much does SambaNova cost?
SambaNova's pricing starts at $0.22/1M input tokens. The page shows 4 plans.
What pricing model does SambaNova use?
SambaNova prices by usage. Buyers choose a plan and sign up on their own. Its plans are aimed mainly at developers.
Does SambaNova have a free plan?
SambaNova's pricing page shows no free plan or free trial. The lowest paid plan starts at $0.22/1M input tokens.
Does SambaNova offer an annual discount?
SambaNova's pricing page shows a single billing period. The listed prices start at $0.22/1M input tokens.
How is SambaNova's pricing page laid out?
The page shows 4 plans. The breakdown above marks 12 points on it: 6 things it does well and 6 insights into the pricing.
Does SambaNova discount cached input tokens?
Yes, for MiniMax-M3.1-Flash. The rate card lists "0.03 USD" per million cached input tokens against "0.30 USD" for standard input, a tenth of the fresh rate. The other three models, gemma-4-31B-it, gpt-oss-120b and Meta-Llama-3.3-70B-Instruct, show "N/A" in the cached column.
What does SambaNova charge for output tokens?
Output is priced per million tokens and varies by model. MiniMax-M3.1-Flash and Meta-Llama-3.3-70B-Instruct are "1.20 USD", gemma-4-31B-it is "1.15 USD" and gpt-oss-120b is "0.59 USD". Every model's output rate sits above its input rate.
Which models are on SambaNova Cloud's pricing page?
The rate card lists four models: MiniMax-M3.1-Flash, gemma-4-31B-it, gpt-oss-120b and Meta-Llama-3.3-70B-Instruct. Each has an input and an output rate per million tokens, and only MiniMax-M3.1-Flash has a cached input rate. The lowest input rate is "0.22 USD" on gpt-oss-120b.
From the page as captured November 4, 2026. Current prices are on cloud.sambanova.ai





