AI models for translation (ES ↔ EN and more)
LLM translation is not just Google Translate: you want glossary, tone, and market (Mexico vs Spain). Semrush ~140/mo for “best llm for translation”; real LATAM product usage is higher. Here are faithful, cheap models for volume.
Models in this collection
| Model | Type | Context | Price |
|---|---|---|---|
 Gemini 2.5 FlashGoogle | Chat | 1M tokens | $0.327/M in · $2.7251/M out |
 Claude Sonnet 5Anthropic | Chat | 1M tokens | $3.2702/M in · $16.3509/M out |
 GPT-5.4 miniOpenAI | Chat | 272k tokens | $0.8175/M in · $4.9053/M out |
| Gemini 2.5 ProGoogle | Chat | 2M tokens | $1.3626/M in · $10.9006/M out |
| GPT-4.1 mini (legacy)OpenAI | Chat | 1M tokens | $0.436/M in · $1.7441/M out |
 DeepSeek V4 FlashDeepSeek | Chat | 1M tokens | $0.1526/M in · $0.3052/M out |
| Claude Haiku 4.5Anthropic | Chat | 200k tokens | $1.0901/M in · $5.4503/M out |
 Llama 3.3 70B InstructMeta | Chat | 128k tokens | $0.6431/M in · $0.8611/M out |
Why these models
Gemini Flash and mini for volume; Sonnet/Pro when copy is marketing or light legal; DeepSeek/Haiku for mass pipelines.
Use them with Geek Hub
One OpenAI-compatible base URL and API key. Swap any model id from this list without rewriting your client.
Get an API keyFAQ
- How do I lock dialect?
- System prompt: “Mexican Spanish, tú…” + glossary of required/forbidden terms.
- Long documents?
- Chunk by section or use long-context. Human-in-the-loop on critical terms.
- Better than dedicated NMT?
- For marketing/localization with tone, LLMs win. For mass technical pairs, sometimes NMT + post-edit.