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A field guide to pricing pages.

The Pricing Atlas is a reference library of the pages where leading SaaS companies turn products into revenue. Every page is captured full-length at desktop width, so you see the whole argument a company makes, from the hero to the FAQ, exactly as a buyer would.

Each capture carries a read of the page by our in-house strategist and a set of annotations pinned to the screenshot. Filled notes mark practices worth borrowing. Outlined notes go under the hood: what a choice reveals about how the company prices.

Pages
196
Captured
November 2026
Filters
Pricing model, industry, motion, buyer, page features

Made by Orb, the platform to plan and build revenue.

All pages

How SambaNova prices

Usage-basedAIcloud.sambanova.ai Captured
Full-page screenshot of the SambaNova pricing page

Captured November 4, 2026 at 1440px wide.

SambaNova plans and prices

PlanPriceBilling
MiniMax-M3.1-Flash0.30 USDInput (per 1M tokens)
gemma-4-31B-it0.38 USDInput (per 1M tokens)
gpt-oss-120b0.22 USDInput (per 1M tokens)
Meta-Llama-3.3-70B-Instruct0.60 USDInput (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.

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

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