The Atlas · column F ($3–10) · row 1 (<32K)
GRIDF1 Models at $3–10 per 1M input with under 32K tokens of context
1 model · 1 creatorChecked 17 Aug 2026
GPT-3.5 Turbo 16k is the only model in F1: $3.00 per 1M input tokens, under 32K tokens of context. A request that fills each model’s window costs $0.06 here, because windows differ within a square.
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ModelsAtlas. “Models at $3–10 per 1M input with under 32K tokens of context”. Retrieved 17 Aug 2026. https://modelsatlas.com/atlas/f1
Models in F1
Cheapest available standard-tier offer · USD per 1M tokens
| Model | Input | Output | Context | Listed | |
|---|---|---|---|---|---|
| GPT-3.5 Turbo 16kOpenAI | $3.00 | $4.00 | 16,385 | — | Alternatives |
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
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
← cheaper1GRIDE1$1–3 per 1M input, <32K context: GPT-3.5 Turbo Instruct.
pricier →0GRIDG1No model in G1 yet.
↑ larger0GRIDF2No model in F2 yet.
Questions about square F1
What is the cheapest AI model with under 32K tokens of context at $3–10 input?
GPT-3.5 Turbo 16k at $3.00 per 1M input tokens and $4.00 output. It is the only model in F1.
Which F1 model is cheapest for a request that fills its context window?
GPT-3.5 Turbo 16k, at about $0.06 for a prompt that fills its 16K window plus its output. The cheapest list price is not always the cheapest full-window request, because windows differ within a square.
Are any F1 models open-weight?
None of the 1 is marked open-weight in our records.
What does grid reference F1 mean?
F is the price column ($3–10 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.
Keep going in your AI
Opens with this page as the source. We add nothing else to the prompt.
- What is the cheapest AI model with under 32K tokens of context at $3–10 input?
- Which F1 model is cheapest for a request that fills its context window?
- Are any F1 models open-weight?