// alternatives · October 2026
GPT-6 Luna 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 and image input, as GPT-6 Luna does.
Nothing benchmarked beats GPT-6 Luna on price at its quality level; the cheapest step up is Claude Haiku 5.5 at $0.200 per 1M blended.
GPT-6 Luna: 64.6 overall on LiveBench, $0.200 per 1M blended tokens, about $74.00/mo for a RAG assistant.
Stronger options, cheapest first
Models that beat GPT-6 Luna on LiveBench overall, ordered by what the upgrade costs.
| Model | Overall | vs GPT-6 Luna | Blended / 1M | RAG assistant | Context |
|---|---|---|---|---|---|
| Claude Haiku 5.5anthropic 5.3 points higher overall, the same list price. Head to head → | 69.8 | +5.3 | $0.200 | $74.00/mo | 1M |
| MiniMax M3.1 Flashminimax 2.3 points higher overall, 31% more expensive. Head to head → | 66.9 | +2.3 | $0.262 | $102.00/mo | 1.0M |
| DeepSeek V4.1 Flash 1017deepseek 9.4 points higher overall, 162% more expensive. Head to head → | 74.0 | +9.4 | $0.525 | $194.40/mo | 1.0M |
| MiMo-V2.6-Proxiaomi 3.9 points higher overall, 172% more expensive. Head to head → | 68.5 | +3.9 | $0.544 | $227.64/mo | 1.1M |
| GPT-6.1 Terraopenai 13.2 points higher overall, 900% more expensive. Head to head → | 77.8 | +13.2 | $2.00 | $720.00/mo | 1.1M |
GPT-6 Luna alternatives FAQ
Which model is better than GPT-6 Luna?
The cheapest model that scores higher overall on LiveBench is Claude Haiku 5.5 — 5.3 points higher overall, the same list price.
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 GPT-6 Luna 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.