// alternatives · November 2026
ricursiveAI/Ripple-65B-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 ricursiveAI/Ripple-65B-Preview does.
LiveBench hasn't published a run for ricursiveAI/Ripple-65B-Preview. The strongest benchmarked model at a similar or lower price is Claude Haiku 5.5, scoring 69.8 overall.
ricursiveAI/Ripple-65B-Preview: no published LiveBench run, $0.300 per 1M blended tokens, about $136.00/mo for a RAG assistant.
Benchmarked models at or below its price
ricursiveAI/Ripple-65B-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 ricursiveAI/Ripple-65B-Preview | Blended / 1M | RAG assistant | Context |
|---|---|---|---|---|---|
| Claude Haiku 5.5anthropic 33% cheaper. Head to head → | 69.8 | — | $0.200−33% | $74.00/mo | 1M |
| MiniMax M3.1 Flashminimax 13% cheaper. Head to head → | 66.9 | — | $0.262−13% | $102.00/mo | 1.0M |
| GPT-6 Lunaopenai 33% cheaper. Head to head → | 64.6 | — | $0.200−33% | $74.00/mo | 1.1M |
| GLM 5.3 Flashz-ai 21% cheaper. Head to head → | 62.1 | — | $0.237−21% | $102.00/mo | 1.0M |
| Nemotron 3.5 Super VLnvidia 21% cheaper. Head to head → | 50.2 | — | $0.237−21% | $98.00/mo | 1.0M |
| Gemma 4 31Bgoogle 17% cheaper. Head to head → | 38.7 | — | $0.250−17% | $184.00/mo | 262K |
ricursiveAI/Ripple-65B-Preview alternatives FAQ
What is the best alternative to ricursiveAI/Ripple-65B-Preview?
Claude Haiku 5.5. 33% cheaper. Every suggestion supports tool calling, like ricursiveAI/Ripple-65B-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 ricursiveAI/Ripple-65B-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.