// alternatives · October 2026
Hy3 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 does.
LiveBench hasn't published a run for Hy3. The strongest benchmarked model at a similar or lower price is Claude Haiku 5.5, scoring 69.8 overall.
Hy3: no published LiveBench run, $0.231 per 1M blended tokens, about $97.68/mo for a RAG assistant.
Benchmarked models at or below its price
Hy3 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 | Blended / 1M | RAG assistant | Context |
|---|---|---|---|---|---|
| Claude Haiku 5.5anthropic 13% cheaper. Head to head → | 69.8 | — | $0.200−13% | $74.00/mo | 1M |
| MiniMax M3.1 Flashminimax 14% more expensive. Head to head → | 66.9 | — | $0.262 | $102.00/mo | 1.0M |
| GPT-6 Lunaopenai 13% cheaper. Head to head → | 64.6 | — | $0.200−13% | $74.00/mo | 1.1M |
| GLM 5.3 Flashz-ai 77% cheaper. Head to head → | 62.1 | — | $0.053−77% | $34.59/mo | 1.0M |
| Nemotron 3.5 Super VLnvidia 3% more expensive. Head to head → | 50.2 | — | $0.237 | $98.00/mo | 1.0M |
| Gemma 4 31Bgoogle 8% more expensive. Head to head → | 38.7 | — | $0.250 | $184.00/mo | 262K |
Hy3 alternatives FAQ
What is the best alternative to Hy3?
Claude Haiku 5.5. 13% cheaper. Every suggestion supports tool calling, like Hy3.
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 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.