The Atlas · column B (<$0.10) · row 1 (<32K)
GRIDB1 Models at <$0.10 per 1M input with under 32K tokens of context
1 model · 1 creatorChecked 17 Aug 2026
Phi 4 is the only model in B1: $0.07 per 1M input tokens, under 32K tokens of context. A request that fills each model’s window costs $0.00 here, because windows differ within a square.
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ModelsAtlas. “Models at <$0.10 per 1M input with under 32K tokens of context”. Retrieved 17 Aug 2026. https://modelsatlas.com/atlas/b1
Models in B1
Cheapest available standard-tier offer · USD per 1M tokens
| Model | Input | Output | Context | Listed | |
|---|---|---|---|---|---|
| Phi 4Microsoft | $0.07 | $0.14 | 16,384 | — | Alternatives |
What a window-filling request costs here
One prompt that fills the model’s context window plus up to 4,000 output tokens · Σ derived
Arithmetic from the listed standard-tier rates, not a quote; the cheapest list price is not always the cheapest full-window request.
Neighbouring squares
One step cheaper, pricier, smaller or larger
← cheaper0GRIDA1No model in A1 yet.
pricier →0GRIDC1No model in C1 yet.
↑ larger3GRIDB2<$0.10 per 1M input, 32–128K context: Llama 3.2 1B Instruct, Command R7B (12-2024) and 1 more.Questions about square B1
What is the cheapest AI model with under 32K tokens of context at under $0.10 input?
Phi 4 at $0.07 per 1M input tokens and $0.14 output. It is the only model in B1.
Which B1 model is cheapest for a request that fills its context window?
Phi 4, at about $0.00 for a prompt that fills its 16K window plus its output. The cheapest list price is not always the cheapest full-window request, because windows differ within a square.
Are any B1 models open-weight?
None of the 1 is marked open-weight in our records.
What does grid reference B1 mean?
B is the price column (<$0.10 per 1M input tokens) and 1 is the context row (<32K). Models in the same square are like-for-like on price and context only; the grid says nothing about quality.
Keep going in your AI
Opens with this page as the source. We add nothing else to the prompt.
- What is the cheapest AI model with under 32K tokens of context at under $0.10 input?
- Which B1 model is cheapest for a request that fills its context window?
- Are any B1 models open-weight?