// alternatives · October 2026
Magnum v4 72B 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 Magnum v4 72B. The strongest benchmarked model at a similar or lower price is GPT-6.1 Terra, scoring 77.8 overall.
Magnum v4 72B: no published LiveBench run, $3.13 per 1M blended tokens, about $2,300/mo for a RAG assistant.
Benchmarked models at or below its price
Magnum v4 72B 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 Magnum v4 72B | Blended / 1M | RAG assistant | Context |
|---|---|---|---|---|---|
| GPT-6.1 Terraopenai 36% cheaper. Head to head → | 77.8 | — | $2.00−36% | $720.00/mo | 1.1M |
| DeepSeek V4.1 Flash 1017deepseek 83% cheaper. Head to head → | 74.0 | — | $0.525−83% | $194.40/mo | 1.0M |
| SpaceXAI: Grok 4.7x-ai 4% cheaper. Head to head → | 70.1 | — | $3.00−4% | $1,360/mo | 500K |
| Claude Haiku 5.5anthropic 94% cheaper. Head to head → | 69.8 | — | $0.200−94% | $74.00/mo | 1M |
| MiMo-V2.6-Proxiaomi 83% cheaper. Head to head → | 68.5 | — | $0.544−83% | $227.64/mo | 1.1M |
| SpaceXAI: Grok 4.6x-ai 4% cheaper. Head to head → | 67.8 | — | $3.00−4% | $1,360/mo | 500K |
Magnum v4 72B alternatives FAQ
What is the best alternative to Magnum v4 72B?
GPT-6.1 Terra. 36% cheaper.
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 Magnum v4 72B 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.