Provedor · 2026-05-12
digitalocean
| Modelo | Entrada / 1M | Saída / 1M | Contexto | Provedores | Etiquetas |
|---|---|---|---|---|---|
| Multi-QA-mpnet-base-dot-v1 | $0.009 | Unknown | 512 | 1 | open-weights |
| All-MiniLM-L6-v2 | $0.009 | Unknown | 256 | 1 | open-weights |
| BGE Reranker v2 M3 | $0.010 | Unknown | 8K | 1 | open-weights |
| E5 Large v2 | $0.020 | Unknown | 512 | 1 | open-weights |
| BGE M3 | $0.020 | Unknown | 8K | 1 | open-weights |
| GTE Large (v1.5) | $0.090 | Unknown | 8K | 1 | open-weights |
| Trinity Large Thinking | $0.250 | $0.900 | 256K | 1 | tools · reasoning · open-weights |
| Ministral 3 8B | Desconhecido | Desconhecido | 262K | 1 | tools · vision · open-weights |
| Stable Diffusion 3.5 Large | $0.080 | Unknown | 256 | 1 | open-weights |
| Wan2.2-T2V-A14B | $0.600 | Unknown | 100 | 1 | open-weights |
| Ministral 3 14B Instructderivado | $0.200 | $0.200 | 262K | 1 | tools · json · open-weights |
| Nemotron Nano 12B v2 VLderivado | $0.200 | $0.600 | 128K | 1 | tools · reasoning · vision · open-weights |
| Nemotron-3-Super-120Bderivado | $0.300 | $0.650 | 256K | 1 | tools · json · reasoning · open-weights |
| Nemotron Nano 3 Omniderivado | $0.500 | $0.900 | 66K | 1 | tools · json · reasoning · vision · open-weights |
| DeepSeek V3.2derivado | $0.500 | $1.60 | 128K | 1 | tools · reasoning · open-weights |
| Claude Opus 4.1derivado | $15.00 | $75.00 | 200K | 1 | tools · reasoning · vision |
| GPT Image 2derivado | Desconhecido | Desconhecido | Unknown | 1 | vision |
| Mistral 7B Instruct v0.3derivado | Desconhecido | Desconhecido | 33K | 1 | tools · open-weights |
| Nemotron 3 Nano 30B A3Bderivado | Desconhecido | Desconhecido | 262K | 1 | tools · reasoning · open-weights |
| Qwen 2.5 14B Instructderivado | Desconhecido | Desconhecido | 131K | 1 | tools · open-weights |
| Qwen3 TTS VoiceDesignderivado | Desconhecido | Desconhecido | 33K | 1 | open-weights |
Frequently asked questions
How many AI models does digitalocean offer?
We track 10 canonical digitalocean models plus 11 community fine-tunes / derivatives (excluded from the main table). The list is recomputed daily from models.dev.
Which digitalocean model is the cheapest?
Multi-QA-mpnet-base-dot-v1 is currently the lowest-priced digitalocean model, at $0.009 per 1M input tokens and Unknown per 1M output tokens. For the full apples-to-apples list, see /pricing/cheapest-llm-api.
Which digitalocean model has the largest context window?
Ministral 3 8B leads at 262K tokens. This is the total of prompt + completion.
Which digitalocean models support tool calling?
Multiple digitalocean models support tool calling, with Trinity Large Thinking being a popular pick. The capability column in the table above marks every model with digitalocean tool-calling support.
Which digitalocean models accept image input?
Ministral 3 8B accepts image input. Other vision-capable digitalocean models are tagged 'vision' in the table above. See /capabilities/vision for a cross-vendor comparison.
What are the best alternatives to digitalocean?
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 digitalocean 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 digitalocean models
- Multi-QA-mpnet-base-dot-v1$0.01 in / $0.00 out
- All-MiniLM-L6-v2$0.01 in / $0.00 out
- BGE Reranker v2 M3$0.01 in / $0.00 out
- E5 Large v2$0.02 in / $0.00 out
- BGE M3$0.02 in / $0.00 out
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Última atualização:
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.