The Atlas · column C ($0.10–0.30) · row 4 (256K–1M)
GRIDC4 Models at $0.10–0.30 per 1M input with 256K–1M tokens of context
13 models · 2 creatorsChecked 10 Oct 2026
13 models cost between $0.10 and $0.26 per 1M input tokens and hold 256K–1M tokens of context. The cheapest on input is Qwen3 30B A3B Instruct 2507 at , tied with 3 others; Qwen3.5-9B has the lowest output price at $0.15. A request that fills each model’s window costs $0.03–$0.08 here, because windows differ within a square.
$0.10
observed We measured
- Source
- Our catalogue
- Retrieved
- 10 Oct 2026
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Cite this page
ModelsAtlas. “Models at $0.10–0.30 per 1M input with 256K–1M tokens of context”. Retrieved 10 Oct 2026. https://modelsatlas.com/atlas/c4
Models in C4
Cheapest available standard-tier offer · USD per 1M tokens
| Model | Input | Output | Context | Listed | |
|---|---|---|---|---|---|
| Qwen3 30B A3B Instruct 2507Qwen (Alibaba) | $0.10 | $0.30 | 262,144 | — | Alternatives |
| Qwen3 Next 80B A3B InstructQwen (Alibaba) | $0.10 | $1.10 | 262,144 | — | Alternatives |
| Qwen3.5-9BQwen (Alibaba) | $0.10 | $0.15 | 262,144 | — | Alternatives |
| Qwen3.6 35B A3BQwen (Alibaba) · open weights | $0.10 | $0.95 | 262,144 | text | Alternatives |
| Qwen3 Coder NextQwen (Alibaba) | $0.12 | $0.80 | 262,144 | — | Alternatives |
| Ministral 3 8B 2512Mistral AI | $0.15 | $0.15 | 262,144 | batch | Alternatives |
| Mistral Small 4Mistral AI | $0.15 | $0.60 | 262,144 | batch | Alternatives |
| Qwen3 VL 30B A3B InstructQwen (Alibaba) | $0.15 | $0.60 | 262,144 | — | Alternatives |
| Ministral 3 14B 2512Mistral AI | $0.20 | $0.20 | 262,144 | — | Alternatives |
| Qwen3 VL 235B A22B InstructQwen (Alibaba) | $0.21 | $1.90 | 262,144 | — | Alternatives |
| Qwen3 VL 8B InstructQwen (Alibaba) · open weights | $0.25 | $0.75 | 262,144 | text | Alternatives |
| Qwen3.5-122B-A10BQwen (Alibaba) | $0.26 | $2.08 | 262,144 | — | Alternatives |
| Qwen3.5-27BQwen (Alibaba) | $0.26 | $2.60 | 262,144 | — | 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
← cheaper7GRIDB4<$0.10 per 1M input, 256K–1M context: Nemotron 3 Nano 30B A3B, Gemma 4 26B A4B and 5 more.pricier →4GRIDD4$0.30–1 per 1M input, 256K–1M context: Qwen3 Coder 480B A35B, Qwen3.6 27B and 2 more.↓ smaller10GRIDC3$0.10–0.30 per 1M input, 128–256K context: Ministral 3 3B 2512, Llama Guard 4 12B and 8 more.↑ larger12GRIDC5$0.10–0.30 per 1M input, 1M context: Claude Haiku 5.5, Muse Spark 1.2 Contributor and 10 more.
Questions about square C4
What is the cheapest AI model with 256K–1M tokens of context at $0.10–0.30 input?
Qwen3 30B A3B Instruct 2507 at $0.10 per 1M input tokens and $0.30 output, tied with 3 others. The other 12 in C4: Qwen3 Next 80B A3B Instruct, Qwen3.5-9B, Qwen3.6 35B A3B, Qwen3 Coder Next, Ministral 3 8B 2512 and 7 more.
Which C4 model is cheapest for a request that fills its context window?
Qwen3.5-9B, at about $0.03 for a prompt that fills its 262K window plus its output. The dearest of the 13 is Qwen3.5-27B at $0.08. The cheapest list price is not always the cheapest full-window request, because windows differ within a square.
Are any C4 models open-weight?
2 models: Qwen3.6 35B A3B and Qwen3 VL 8B Instruct.
What does grid reference C4 mean?
C is the price column ($0.10–0.30 per 1M input tokens) and 4 is the context row (256K–1M). 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 256K–1M tokens of context at $0.10–0.30 input?
- Which C4 model is cheapest for a request that fills its context window?
- Are any C4 models open-weight?