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VECTOR WIREAI INTELLIGENCE
UTC
Pro Mode — raw scores, one benchmark under the lensthird-party eval harness
The field · 17 measured
23.03160.668

17 models measured, most on the third-party eval harness. Yi 1.5 34B Chat tops the board at 60.668.

17 measured·Lifecycle Updated Oct 8, 2026Score basis
#◆Vendor$/M in$/M out
Leader — ignites whiteField — fill cools with scoreBars show 23.031–60.668 · ◆ solid = first-party or better · outlined = arm's-length
01Yi 1.5 34B Chat01.AI60.668———
02Yi 1.5 9B Chat01.AI60.455———
03Yi 1.5 6B Chat01.AI51.453———
04Yi Coder 9B Chat01.AI48.17———
05Marco-o1AIDC-AI47.708———
06Yi 1.5 34B Chat 16K01.AI45.645———
07Yi 1.5 9B Chat 16K01.AI42.14———
08Yi 1.5 34B 32K01.AI31.187———
09Yi 1.5 9B01.AI29.358———
10Yi 1.5 34B01.AI28.412———
11NuminaMath-7B-TIRAI-MO27.562———
12Yi 9B01.AI27.088———
13NuminaMath-7B-CoTAI-MO26.885———
14Yi 1.5 6B01.AI26.166———
15Llama 3 Instruct 8BMeta24.013$0.04/M$0.14/M$0.004
16Yi 9B 200K01.AI23.271———
17Yi 1.5 9B 32K01.AI23.031———
◆ solid = independently verified · aggregator attested · vendor attributed — outlined = cross-reference · source-attributed. Dimmed ◆ = confidence inferred. “+N alts” = alternate disclosures in the drawer with why-demoted. Prices per million tokens; $/point = input price ÷ score. Every row opens its model dossier.

Verification: 17 models scored · 17 independently verified · 0 with source disagreement. How these tiers are assigned