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VECTOR WIREAI INTELLIGENCE
UTC
Pro Mode — raw scores, one benchmark under the lensthird-party eval harness
The field · 17 measured
16.87444.536

17 models measured, most on the third-party eval harness. Yi 1.5 34B Chat 16K tops the board at 44.536.

17 measured·Lifecycle Updated Oct 7, 2026Score basis
#◆Vendor$/M in$/M out
Leader — ignites whiteField — fill cools with scoreBars show 16.874–44.536 · ◆ solid = first-party or better · outlined = arm's-length
01Yi 1.5 34B Chat 16K01.AI44.536———
02Yi 1.5 34B Chat01.AI44.263———
03Yi 1.5 34B 32K01.AI43.382———
04Yi 1.5 34B01.AI42.749———
05Yi 1.5 9B Chat01.AI36.953———
06Marco-o1AIDC-AI34.843———
07Yi 1.5 9B Chat 16K01.AI31.498———
08Yi 1.5 9B01.AI30.501———
09Yi 1.5 9B 32K01.AI28.937———
10Yi 9B01.AI27.627———
11Yi 9B 200K01.AI26.493———
12Yi Coder 9B Chat01.AI25.943———
13Yi 1.5 6B Chat01.AI23.679———
14Yi 1.5 6B01.AI22.028———
15NuminaMath-7B-CoTAI-MO19.152———
16Llama 3 Instruct 8BMeta18.388$0.04/M$0.14/M$0.005
17NuminaMath-7B-TIRAI-MO16.874———
◆ 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