// alternatives · November 2026
Mi:dm K 3.0 Pro 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 Mi:dm K 3.0 Pro. The strongest benchmarked model at a similar or lower price is DeepSeek V4.1 Flash 1017, scoring 70.3 overall.
Mi:dm K 3.0 Pro: no published LiveBench run, $0.350 per 1M blended tokens, about $144.00/mo for a RAG assistant.
Benchmarked models at or below its price
Mi:dm K 3.0 Pro 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 Mi:dm K 3.0 Pro | Blended / 1M | RAG assistant | Context |
|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017deepseek 63% cheaper. Head to head → | 70.3 | — | $0.130−63% | $34.40/mo | 1.0M |
| Claude Haiku 5.5anthropic 43% cheaper. Head to head → | 68.9 | — | $0.200−43% | $74.00/mo | 1M |
| MiniMax M3.1 Flashminimax 25% cheaper. Head to head → | 63.7 | — | $0.262−25% | $102.00/mo | 1.0M |
| GLM 5.3 Flashz-ai 86% cheaper. Head to head → | 60.7 | — | $0.050−86% | $32.66/mo | 1.0M |
| GPT-6 Lunaopenai 43% cheaper. Head to head → | 60.4 | — | $0.200−43% | $74.00/mo | 1.1M |
| Nemotron 3.5 Super VLnvidia 34% cheaper. Head to head → | 47.0 | — | $0.230−34% | $96.20/mo | 1.0M |
Mi:dm K 3.0 Pro alternatives FAQ
What is the best alternative to Mi:dm K 3.0 Pro?
DeepSeek V4.1 Flash 1017. 63% cheaper.
How alternatives are chosen
- Scores — LiveBench release 2026-11-06. 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 Mi:dm K 3.0 Pro 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.