// alternatives · October 2026
LFM2.5-2.6B 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 LFM2.5-2.6B does.
LiveBench hasn't published a run for LFM2.5-2.6B. The strongest benchmarked model at a similar or lower price is Claude Haiku 5.5, scoring 69.8 overall.
LFM2.5-2.6B: no published LiveBench run, $0.387 per 1M blended tokens, about $186.00/mo for a RAG assistant.
Benchmarked models at or below its price
LFM2.5-2.6B 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 LFM2.5-2.6B | Blended / 1M | RAG assistant | Context |
|---|---|---|---|---|---|
| Claude Haiku 5.5anthropic 48% cheaper. Head to head → | 69.8 | — | $0.200−48% | $74.00/mo | 1M |
| MiniMax M3.1 Flashminimax 32% cheaper. Head to head → | 66.9 | — | $0.262−32% | $102.00/mo | 1.0M |
| GPT-6 Lunaopenai 48% cheaper. Head to head → | 64.6 | — | $0.200−48% | $74.00/mo | 1.1M |
| GLM 5.3 Flashz-ai 86% cheaper. Head to head → | 62.1 | — | $0.053−86% | $34.59/mo | 1.0M |
| Qwen3.8 27Bqwen 12% cheaper. Head to head → | 58.4 | — | $0.342−12% | $92.16/mo | 1M |
| Nemotron 3.5 Super VLnvidia 39% cheaper. Head to head → | 50.2 | — | $0.237−39% | $98.00/mo | 1.0M |
LFM2.5-2.6B alternatives FAQ
What is the best alternative to LFM2.5-2.6B?
Claude Haiku 5.5. 48% cheaper. Every suggestion supports tool calling, like LFM2.5-2.6B.
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 LFM2.5-2.6B 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.