The Atlas · column F ($3–10) · row 3 (128–256K)

GRIDF3 Models at $3–10 per 1M input with 128–256K tokens of context

2 models · 1 creatorChecked 10 Oct 2026

2 models cost between $3.00 and $5.00 per 1M input tokens and hold 128–256K tokens of context. The cheapest on input is Claude Sonnet 4 at
$3.00
asserted Vendor states
Source
docs.anthropic.com/en/docs/about-claude/pricing
Retrieved
17 Aug 2026
. A request that fills each model’s window costs $0.66–$1.10 here, because windows differ within a square.
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ModelsAtlas. “Models at $3–10 per 1M input with 128–256K tokens of context”. Retrieved 10 Oct 2026. https://modelsatlas.com/atlas/f3

Models in F3

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

ModelInputOutputContextListed
Claude Sonnet 4Anthropic$3.00$15.00200,000—Alternatives
Claude Opus 4.5Anthropic$5.00$25.00200,000batch 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

Claude Sonnet 4200K window
$0.66
Claude Opus 4.5200K window
$1.10

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 F3

What is the cheapest AI model with 128–256K tokens of context at $3–10 input?
Claude Sonnet 4 at $3.00 per 1M input tokens and $15.00 output. The other 1 in F3: Claude Opus 4.5.
Which F3 model is cheapest for a request that fills its context window?
Claude Sonnet 4, at about $0.66 for a prompt that fills its 200K window plus its output. The dearest of the 2 is Claude Opus 4.5 at $1.10. The cheapest list price is not always the cheapest full-window request, because windows differ within a square.
Are any F3 models open-weight?
None of the 2 is marked open-weight in our records.
What does grid reference F3 mean?
F is the price column ($3–10 per 1M input tokens) and 3 is the context row (128–256K). Models in the same square are like-for-like on price and context only; the grid says nothing about quality.

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