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The Atlas · column G ($10–30) · row 4 (256K–1M)

GRIDG4 Models at $10–30 per 1M input with 256K–1M tokens of context

1 model · 1 creatorChecked 17 Aug 2026

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GPT-5 Image is the only model in G4: $10.00 per 1M input tokens, 256K–1M tokens of context. A request that fills each model’s window costs $4.04 here, because windows differ within a square.
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ModelsAtlas. “Models at $10–30 per 1M input with 256K–1M tokens of context”. Retrieved 17 Aug 2026. https://modelsatlas.com/atlas/g4

Models in G4

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

ModelInputOutputContextListed
GPT-5 ImageOpenAI$10.00$10.00400,000—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-5 Image400K window
$4.04

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

← cheaper2GRIDF4$3–10 per 1M input, 256K–1M context: GPT Chat Latest and GPT-5.4 Image 2.
pricier →0GRIDH4No model in H4 yet.
↓ smaller3GRIDG3$10–30 per 1M input, 128–256K context: Claude Opus 4, Claude Opus 4.1 and 1 more.↑ larger2GRIDG5$10–30 per 1M input, 1M context: Claude Fable 5 and Claude Fable 5.1.

Questions about square G4

What is the cheapest AI model with 256K–1M tokens of context at $10–30 input?
GPT-5 Image at $10.00 per 1M input tokens and $10.00 output. It is the only model in G4.
Which G4 model is cheapest for a request that fills its context window?
GPT-5 Image, at about $4.04 for a prompt that fills its 400K window plus its output. The cheapest list price is not always the cheapest full-window request, because windows differ within a square.
Are any G4 models open-weight?
None of the 1 is marked open-weight in our records.
What does grid reference G4 mean?
G is the price column ($10–30 per 1M input tokens) and 4 is the context row (256K–1M). Models in the same square are like-for-like on price and context only; the grid says nothing about quality.

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