Hunter Alpha (mimo-v2) vs Llama 3.1 405B: Which Should You Choose in 2026?
Update (2026-09-18): the preview is long over. Xiaomi confirmed this model as MiMo-V2.5 on 2026-03-23 and OpenRouter has billed it since — $0.14 in / $0.28 out per million tokens. Everything below is kept as the comparison as it stood during the free window. Live numbers: MiMo-V2.5 model page.
Quick Answer
Choose Hunter Alpha (mimo-v2) if:
- You need the largest possible context window (1M tokens)
- You want the cheapest long-context tier rather than the free one — the free window closed on 2026-03-23
- You’re processing long documents, codebases, or multi-turn conversations
Choose Llama 3.1 405B if:
- Teams wanting self-hosted control
- You need faster response times
- You prefer established provider support
Side-by-Side Comparison
| Feature | Hunter Alpha (mimo-v2) | Llama 3.1 405B |
|---|---|---|
| Context Window | 1,048,576 tokens | 256K tokens |
| Price | $0.14/$0.28 per M (free 12–23 Mar 2026) | $0.90/$0.90 per M tokens |
| Provider | Xiaomi | Meta |
| Multimodal | No (text only) | No |
| Best For | Long context on a budget | Teams wanting self-hosted control |
What is Hunter Alpha / Xiaomi mimo-v2?
Hunter Alpha is the original name used when this model appeared on OpenRouter in March 2026. On March 23, 2026, Xiaomi officially confirmed it as their mimo-v2 AI model.
Key characteristics:
- 1 trillion parameters for advanced reasoning
- 1M token context window (~700,000 words or 200+ pages)
- Free during the preview (12–23 March 2026); billed as MiMo-V2.5 since
- Text-only input and output
- Optimized for agentic tasks and long-horizon planning
Llama 3.1 405B Overview
Llama 3.1 405B is Meta’s largest open-weights model, offering self-hosting flexibility.