// alternatives · October 2026
Hy3 preview alternatives
Cheaper models that come close, budget substitutes, and the cheapest step up — chosen on published LiveBench scores and live list price, never on our opinion. Every model here supports tool calling, as Hy3 preview does.
LiveBench hasn't published a run for Hy3 preview. The strongest benchmarked model at a similar or lower price is Claude Haiku 5.5, scoring 69.8 overall.
Hy3 preview: no published LiveBench run, $0.285 per 1M blended tokens, about $132.00/mo for a RAG assistant.
Benchmarked models at or below its price
Hy3 preview has no published LiveBench run, so these are the highest-scoring benchmarked models priced no more than 25% above it — a known quantity to test against.
| Model | Overall | vs Hy3 preview | Blended / 1M | RAG assistant | Context |
|---|---|---|---|---|---|
| Claude Haiku 5.5anthropic 30% cheaper. Head to head → | 69.8 | — | $0.200−30% | $74.00/mo | 1M |
| MiniMax M3.1 Flashminimax 8% cheaper. Head to head → | 66.9 | — | $0.262−8% | $102.00/mo | 1.0M |
| GPT-6 Lunaopenai 30% cheaper. Head to head → | 64.6 | — | $0.200−30% | $74.00/mo | 1.1M |
| GLM 5.3 Flashz-ai 82% cheaper. Head to head → | 62.1 | — | $0.053−82% | $34.59/mo | 1.0M |
| Qwen3.8 27Bqwen 20% more expensive. Head to head → | 58.4 | — | $0.342 | $92.16/mo | 1M |
| Nemotron 3.5 Super VLnvidia 17% cheaper. Head to head → | 50.2 | — | $0.237−17% | $98.00/mo | 1.0M |
Hy3 preview alternatives FAQ
What is the best alternative to Hy3 preview?
Claude Haiku 5.5. 30% cheaper. Every suggestion supports tool calling, like Hy3 preview.
How alternatives are chosen
- Scores — LiveBench release 2026-10-25. Only models with a published run are suggested on quality; a missing model means “not evaluated”, not “worse”.
- Prices — live list prices from OpenRouter, blended 3:1 input:output. Monthly figures price a RAG assistant with the published cached-input rate where there is one.
- Same job — suggestions must support every capability Hy3 preview has among tool calling and image input. Other listings of the same model (free or batch tiers) are variants, not alternatives, and are left out.
A few points on a public benchmark can hide large differences on your own tasks. Shortlist here, then decide with an eval — how to build one.