The Atlas · column D ($0.30–1) · row 2 (32–128K)
GRIDD2 Models at $0.30–1 per 1M input with 32–128K tokens of context
7 models · 5 creatorsChecked 10 Oct 2026
7 models cost between $0.30 and $0.80 per 1M input tokens and hold 32–128K tokens of context. The cheapest on input is MiniMax M2-her at , tied with 1 other; Qwen2.5 72B Instruct has the lowest output price at $0.40. A request that fills each model’s window costs $0.01–$0.11 here, because windows differ within a square.
$0.30
observed We measured
- Source
- Our catalogue
- Retrieved
- 1 Sep 2026
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Cite this page
ModelsAtlas. “Models at $0.30–1 per 1M input with 32–128K tokens of context”. Retrieved 10 Oct 2026. https://modelsatlas.com/atlas/d2
Models in D2
Cheapest available standard-tier offer · USD per 1M tokens
| Model | Input | Output | Context | Listed | |
|---|---|---|---|---|---|
| MiniMax M2-herMiniMax | $0.30 | $1.20 | 65,536 | — | Alternatives |
| Nano Banana (Gemini 2.5 Flash Image)Google | $0.30 | $2.50 | 32,768 | — | Alternatives |
| Mistral Small 3.1 24BMistral AI | $0.35 | $0.56 | 128,000 | — | Alternatives |
| Qwen2.5 72B InstructQwen (Alibaba) | $0.36 | $0.40 | 32,768 | — | Alternatives |
| WizardLM-2 8x22BMicrosoft | $0.62 | $0.62 | 65,535 | — | Alternatives |
| Qwen2.5 Coder 32B InstructQwen (Alibaba) | $0.66 | $1.00 | 32,768 | — | Alternatives |
| Qwen2.5 VL 72B InstructQwen (Alibaba) | $0.80 | $1.00 | 128,000 | — | 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
← cheaper7GRIDC2$0.10–0.30 per 1M input, 32–128K context: Qwen2.5 7B Instruct, Voxtral Small 24B 2507 and 5 more.pricier →6GRIDE2$1–3 per 1M input, 32–128K context: Nano Banana 2.1, GPT-5.2 Chat and 4 more.↓ smaller2GRIDD1$0.30–1 per 1M input, <32K context: GPT-3.5 Turbo and Gemma 2 27B.↑ larger11GRIDD3$0.30–1 per 1M input, 128–256K context: Codestral 2508, Command A+ and 9 more.
Questions about square D2
What is the cheapest AI model with 32–128K tokens of context at $0.30–1 input?
MiniMax M2-her at $0.30 per 1M input tokens and $1.20 output, tied with 1 other. The other 6 in D2: Nano Banana (Gemini 2.5 Flash Image), Mistral Small 3.1 24B, Qwen2.5 72B Instruct, WizardLM-2 8x22B, Qwen2.5 Coder 32B Instruct and 1 more.
Which D2 model is cheapest for a request that fills its context window?
Qwen2.5 72B Instruct, at about $0.01 for a prompt that fills its 33K window plus its output. The dearest of the 7 is Qwen2.5 VL 72B Instruct at $0.11. The cheapest list price is not always the cheapest full-window request, because windows differ within a square.
Are any D2 models open-weight?
None of the 7 is marked open-weight in our records.
What does grid reference D2 mean?
D is the price column ($0.30–1 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.
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 32–128K tokens of context at $0.30–1 input?
- Which D2 model is cheapest for a request that fills its context window?
- Are any D2 models open-weight?