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The Atlas · column D ($0.30–1) · row 1 (<32K)

GRIDD1 Models at $0.30–1 per 1M input with under 32K tokens of context

2 models · 2 creatorsChecked 17 Aug 2026

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2 models cost between $0.50 and $0.65 per 1M input tokens and hold under 32K tokens of context. The cheapest on input is GPT-3.5 Turbo at
$0.50
observed We measured
Source
Our catalogue
Retrieved
17 Aug 2026
; Gemma 2 27B has the lowest output price at $0.65. A request that fills each model’s window costs $0.01–$0.01 here, because windows differ within a square.
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ModelsAtlas. “Models at $0.30–1 per 1M input with under 32K tokens of context”. Retrieved 17 Aug 2026. https://modelsatlas.com/atlas/d1

Models in D1

Cheapest available standard-tier offer · USD per 1M tokens

ModelInputOutputContextListed
GPT-3.5 TurboOpenAI$0.50$1.5016,385batch Alternatives
Gemma 2 27BGoogle$0.65$0.658,192—Alternatives
Highlighted: lowest in column. “Listed” is what our records state: modalities, and whether a batch or free offer exists.

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

Gemma 2 27B8K window
$0.01
GPT-3.5 Turbo16K window
$0.01

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

← cheaper0GRIDC1No model in C1 yet.
pricier →1GRIDE1$1–3 per 1M input, <32K context: GPT-3.5 Turbo Instruct.↑ larger7GRIDD2$0.30–1 per 1M input, 32–128K context: MiniMax M2-her, Nano Banana (Gemini 2.5 Flash Image) and 5 more.

Questions about square D1

What is the cheapest AI model with under 32K tokens of context at $0.30–1 input?
GPT-3.5 Turbo at $0.50 per 1M input tokens and $1.50 output. The other 1 in D1: Gemma 2 27B.
Which D1 model is cheapest for a request that fills its context window?
Gemma 2 27B, at about $0.01 for a prompt that fills its 8K window plus its output. The dearest of the 2 is GPT-3.5 Turbo at $0.01. The cheapest list price is not always the cheapest full-window request, because windows differ within a square.
Are any D1 models open-weight?
None of the 2 is marked open-weight in our records.
What does grid reference D1 mean?
D is the price column ($0.30–1 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.

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