The Atlas · column E ($1–3) · row 2 (32–128K)

GRIDE2 Models at $1–3 per 1M input with 32–128K tokens of context

6 models · 4 creatorsChecked 10 Oct 2026

6 models cost between $1.50 and $2.50 per 1M input tokens and hold 32–128K tokens of context. The cheapest on input is Nano Banana 2.1 at
$1.50
observed We measured
Source
Our catalogue
Retrieved
10 Oct 2026
; Mixtral 8x22B Instruct has the lowest output price at $6.00. A request that fills each model’s window costs $0.13–$0.36 here, because windows differ within a square.
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ModelsAtlas. “Models at $1–3 per 1M input with 32–128K tokens of context”. Retrieved 10 Oct 2026. https://modelsatlas.com/atlas/e2

Models in E2

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

ModelInputOutputContextListed
Nano Banana 2.1Google$1.50$7.5065,536—Alternatives
GPT-5.2 ChatOpenAI$1.75$14.00128,000—Alternatives
Mixtral 8x22B InstructMistral AI$2.00$6.0065,536—Alternatives
Command R+ (08-2024)Cohere$2.50$10.00128,000—Alternatives
GPT AudioOpenAI$2.50$10.00128,000—Alternatives
GPT-4oOpenAI$2.50$10.00128,000batch 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

Nano Banana 2.166K window
$0.13
$0.16
GPT-5.2 Chat128K window
$0.28
$0.36
GPT Audio128K window
$0.36
GPT-4o128K window
$0.36

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

Questions about square E2

What is the cheapest AI model with 32–128K tokens of context at $1–3 input?
Nano Banana 2.1 at $1.50 per 1M input tokens and $7.50 output. The other 5 in E2: GPT-5.2 Chat, Mixtral 8x22B Instruct, Command R+ (08-2024), GPT Audio and GPT-4o.
Which E2 model is cheapest for a request that fills its context window?
Nano Banana 2.1, at about $0.13 for a prompt that fills its 66K window plus its output. The dearest of the 6 is GPT-4o at $0.36. The cheapest list price is not always the cheapest full-window request, because windows differ within a square.
Are any E2 models open-weight?
None of the 6 is marked open-weight in our records.
What does grid reference E2 mean?
E is the price column ($1–3 per 1M input tokens) and 2 is the context row (32–128K). Models in the same square are like-for-like on price and context only; the grid says nothing about quality.

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