Hanzo Models via Hanzo AI
27 models available
Access all 27 Hanzo models through Hanzo's OpenAI-compatible API. One key, one bill, no rate limit juggling.
Test right now from your terminal. No credentials needed:
curl https://api.hanzo.ai/v1/chat/completions \
-H "Authorization: Bearer guest_temp_key" \
-d '{"model": "zen-free", "messages": [{"role": "user", "content": "hello"}]}'Hanzo's proprietary frontier model — Opus-class reasoning by default with 1M-context overflow.
Routes each request to one tier by the reasoning depth it asks for: enso-flash at off, none, minimal, low, default; enso-pro at medium, high; enso-ultra at xhigh, max. It bills at the price of the tier that answers; the price shown is a request's that states no depth. When nothing pays for that tier it answers on enso-free, at no charge, and says so.
Fast, economical Enso tier for high-volume, low-latency everyday work, with 1M-context overflow.
Adaptive fan-out — probes a task-appropriate model, escalates to a top-K panel only when needed, then verifies-then-selects the best answer.
Hanzo's decision model. $0.021 per million input tokens, half of Jev's $0.042. Output is free.
Hanzo's decision model, which answers typed questions at /v1/decisions rather than a chat turn.
Hanzo's decision model, which answers typed questions at /v1/decisions rather than a chat turn.
Dense text embeddings for semantic search, retrieval, and clustering.
Safety classifier for moderation and guardrails across a broad category and language set.
Hanzo's speech-to-text model, which writes down what is said in any language, served at /v1/audio/transcriptions.
Reads images and reasons over them — visual Q&A, document and chart understanding, grounded captioning.
Hanzo's text-to-speech voice, served at /v1/audio/speech.
Canonical Zen5 default. a 35B frontier MoE (3B active) (35B total / 3B active per token, released Apr 2026, Apache-2.0). 256K context, agentic-trained, OpenAI + Anthropic API. The everyday Zen5 chat model.
Code-specialized Zen5 tier. 80B sparse MoE tuned for repo-scale code understanding, agentic refactoring, and tool-use coding loops.
Smallest and cheapest text-only Zen5 chat tier. 4B-class dense, sub-100ms TTFT, 32K context. For high-volume routing and simple agent loops.
Frontier agentic at the lowest cost in the family. Built on a 230B agentic MoE (10B active) (230B MoE / 10B active, released Feb 2026). 80.2% SWE-Bench Verified, 76.3% BrowseComp; trained on 200K+ real-world environments via large-scale RL.
Zen Flash IQ2_XXS-imatrix weights (81 GB GGUF on zenlm/zen-5-pro-gguf). 284B total / 37B active per token, 1M context, asymmetric routed-MoE quant. Fits a single 128 GB Apple Silicon / DGX Spark / H100 80 GB.
Use Hanzo models via Hanzo
One key. One bill. Works with every SDK you already have.