제공자 · 2026-05-12
ollama-cloud
| 모델 | 입력 / 1M | 출력 / 1M | 컨텍스트 | 제공자 | 태그 |
|---|---|---|---|---|---|
| cogito-2.1:671b | 미공개 | 미공개 | 164K | 1 | tools · reasoning · open-weights |
| ministral-3:14b | 미공개 | 미공개 | 262K | 1 | tools · vision · open-weights |
| ministral-3:3b | 미공개 | 미공개 | 262K | 1 | tools · vision · open-weights |
| ministral-3:8b | 미공개 | 미공개 | 262K | 1 | tools · vision · open-weights |
| rnj-1:8b | 미공개 | 미공개 | 33K | 1 | tools · open-weights |
| deepseek-v3.1:671b파생 | 미공개 | 미공개 | 164K | 1 | tools · reasoning · open-weights |
| devstral-2:123b파생 | 미공개 | 미공개 | 262K | 1 | tools · open-weights |
| devstral-small-2:24b파생 | 미공개 | 미공개 | 262K | 1 | tools · vision · open-weights |
| gemma3:12b파생 | 미공개 | 미공개 | 131K | 1 | vision · open-weights |
| gemma3:27b파생 | 미공개 | 미공개 | 131K | 1 | vision · open-weights |
| gemma3:4b파생 | 미공개 | 미공개 | 131K | 1 | vision · open-weights |
| gemma4:31b파생 | 미공개 | 미공개 | 262K | 1 | tools · reasoning · vision · open-weights |
| kimi-k2:1t파생 | 미공개 | 미공개 | 262K | 1 | tools · open-weights |
| mistral-large-3:675b파생 | 미공개 | 미공개 | 262K | 1 | tools · vision · open-weights |
| nemotron-3-nano:30b파생 | 미공개 | 미공개 | 1.05M | 1 | tools · reasoning · open-weights |
| nemotron-3-super파생 | 미공개 | 미공개 | 262K | 1 | tools · reasoning · open-weights |
| qwen3-coder:480b파생 | 미공개 | 미공개 | 262K | 1 | tools · open-weights |
| qwen3-next:80b파생 | 미공개 | 미공개 | 262K | 1 | tools · reasoning · open-weights |
| qwen3-vl:235b파생 | 미공개 | 미공개 | 262K | 1 | tools · reasoning · vision · open-weights |
| qwen3-vl:235b-instruct파생 | 미공개 | 미공개 | 262K | 1 | tools · vision · open-weights |
| qwen3.5:397b파생 | 미공개 | 미공개 | 262K | 1 | tools · reasoning · vision · open-weights |
Frequently asked questions
How many AI models does ollama-cloud offer?
We track 5 canonical ollama-cloud models plus 16 community fine-tunes / derivatives (excluded from the main table). The list is recomputed daily from models.dev.
Which ollama-cloud model has the largest context window?
ministral-3:14b leads at 262K tokens. This is the total of prompt + completion.
Which ollama-cloud models support tool calling?
Multiple ollama-cloud models support tool calling, with cogito-2.1:671b being a popular pick. The capability column in the table above marks every model with ollama-cloud tool-calling support.
Which ollama-cloud models accept image input?
ministral-3:14b accepts image input. Other vision-capable ollama-cloud models are tagged 'vision' in the table above. See /capabilities/vision for a cross-vendor comparison.
What are the best alternatives to ollama-cloud?
Depends on the use case. For raw cost savings, look at /pricing/cheapest-llm-api. For agent-oriented workloads, /best/best-ai-model-for-agents. For long-document workflows, /best/best-long-context-llm.
How fresh is this ollama-cloud pricing data?
Daily. Our pipeline pulls models.dev each morning and rebuilds these pages on data change, so list-price moves and new model releases land within roughly 24 hours.
Explore more
Top ollama-cloud models
- cogito-2.1:671bUnknown pricing
- ministral-3:14bUnknown pricing
- ministral-3:3bUnknown pricing
- ministral-3:8bUnknown pricing
- rnj-1:8bUnknown pricing
Browse by use case
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마지막 업데이트:
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.