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The Atlas · column E ($1–3) · row 1 (<32K)

GRIDE1 Models at $1–3 per 1M input with under 32K tokens of context

1 model · 1 creatorChecked 17 Aug 2026

Open the map
GPT-3.5 Turbo Instruct is the only model in E1: $1.50 per 1M input tokens, under 32K tokens of context. A request that fills each model’s window costs $0.01 here, because windows differ within a square.
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ModelsAtlas. “Models at $1–3 per 1M input with under 32K tokens of context”. Retrieved 17 Aug 2026. https://modelsatlas.com/atlas/e1

Models in E1

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

ModelInputOutputContextListed
GPT-3.5 Turbo InstructOpenAI$1.50$2.004,095—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

GPT-3.5 Turbo Instruct4K 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

← cheaper2GRIDD1$0.30–1 per 1M input, <32K context: GPT-3.5 Turbo and Gemma 2 27B.pricier →1GRIDF1$3–10 per 1M input, <32K context: GPT-3.5 Turbo 16k.↑ larger6GRIDE2$1–3 per 1M input, 32–128K context: Nano Banana 2.1, GPT-5.2 Chat and 4 more.

Questions about square E1

What is the cheapest AI model with under 32K tokens of context at $1–3 input?
GPT-3.5 Turbo Instruct at $1.50 per 1M input tokens and $2.00 output. It is the only model in E1.
Which E1 model is cheapest for a request that fills its context window?
GPT-3.5 Turbo Instruct, at about $0.01 for a prompt that fills its 4K window plus its output. The cheapest list price is not always the cheapest full-window request, because windows differ within a square.
Are any E1 models open-weight?
None of the 1 is marked open-weight in our records.
What does grid reference E1 mean?
E is the price column ($1–3 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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