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// alternatives · October 2026

ReMM SLERP 13B 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.

LiveBench hasn't published a run for ReMM SLERP 13B. The strongest benchmarked model at a similar or lower price is DeepSeek V4.1 Flash 1017, scoring 74.0 overall.

ReMM SLERP 13B: no published LiveBench run, $0.425 per 1M blended tokens, about $319.00/mo for a RAG assistant.

Benchmarked models at or below its price

ReMM SLERP 13B 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.

ModelOverallvs ReMM SLERP 13BBlended / 1MRAG assistantContext
DeepSeek V4.1 Flash 1017deepseek

24% more expensive. Head to head →

74.0—$0.525$194.40/mo1.0M
Claude Haiku 5.5anthropic

53% cheaper. Head to head →

69.8—$0.200−53%$74.00/mo1M
MiniMax M3.1 Flashminimax

38% cheaper. Head to head →

66.9—$0.262−38%$102.00/mo1.0M
GPT-6 Lunaopenai

53% cheaper. Head to head →

64.6—$0.200−53%$74.00/mo1.1M
GLM 5.3 Flashz-ai

88% cheaper. Head to head →

62.1—$0.053−88%$34.59/mo1.0M
Qwen3.8 27Bqwen

20% cheaper. Head to head →

58.4—$0.342−20%$92.16/mo1M

ReMM SLERP 13B alternatives FAQ

What is the best alternative to ReMM SLERP 13B?

DeepSeek V4.1 Flash 1017. 24% more expensive.

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 ReMM SLERP 13B 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.