The Atlas · column C ($0.10–0.30) · row 2 (32–128K)
GRIDC2 Models at $0.10–0.30 per 1M input with 32–128K tokens of context
7 models · 4 creatorsChecked 10 Oct 2026
7 models cost between $0.10 and $0.25 per 1M input tokens and hold 32–128K tokens of context. The cheapest on input is Qwen2.5 7B Instruct at , tied with 1 other. A request that fills each model’s window costs $0.00–$0.02 here, because windows differ within a square.
$0.10
observed We measured
- Source
- Our catalogue
- Retrieved
- 17 Aug 2026
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ModelsAtlas. “Models at $0.10–0.30 per 1M input with 32–128K tokens of context”. Retrieved 10 Oct 2026. https://modelsatlas.com/atlas/c2
Models in C2
Cheapest available standard-tier offer · USD per 1M tokens
| Model | Input | Output | Context | Listed | |
|---|---|---|---|---|---|
| Qwen2.5 7B InstructQwen (Alibaba) · open weights | $0.10 | $0.20 | 32,768 | text | Alternatives |
| Voxtral Small 24B 2507Mistral AI | $0.10 | $0.30 | 32,768 | — | Alternatives |
| Qwen3 14BQwen (Alibaba) · open weights | $0.12 | $0.24 | 40,960 | text | Alternatives |
| Qwen3 30B A3BQwen (Alibaba) | $0.12 | $0.50 | 40,960 | — | Alternatives |
| Command R (08-2024)Cohere | $0.15 | $0.60 | 128,000 | — | Alternatives |
| SabaMistral AI | $0.20 | $0.60 | 32,768 | — | Alternatives |
| Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)Google | $0.25 | $1.50 | 65,536 | — | 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
← cheaper3GRIDB2<$0.10 per 1M input, 32–128K context: Llama 3.2 1B Instruct, Command R7B (12-2024) and 1 more.pricier →7GRIDD2$0.30–1 per 1M input, 32–128K context: MiniMax M2-her, Nano Banana (Gemini 2.5 Flash Image) and 5 more.
↓ smaller0GRIDC1No model in C1 yet.
↑ larger10GRIDC3$0.10–0.30 per 1M input, 128–256K context: Ministral 3 3B 2512, Llama Guard 4 12B and 8 more.Questions about square C2
What is the cheapest AI model with 32–128K tokens of context at $0.10–0.30 input?
Qwen2.5 7B Instruct at $0.10 per 1M input tokens and $0.20 output, tied with 1 other. The other 6 in C2: Voxtral Small 24B 2507, Qwen3 14B, Qwen3 30B A3B, Command R (08-2024), Saba and 1 more.
Which C2 model is cheapest for a request that fills its context window?
Qwen2.5 7B Instruct, at about $0.00 for a prompt that fills its 33K window plus its output. The dearest of the 7 is Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) at $0.02. The cheapest list price is not always the cheapest full-window request, because windows differ within a square.
Are any C2 models open-weight?
2 models: Qwen2.5 7B Instruct and Qwen3 14B.
What does grid reference C2 mean?
C is the price column ($0.10–0.30 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 $0.10–0.30 input?
- Which C2 model is cheapest for a request that fills its context window?
- Are any C2 models open-weight?