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VECTOR WIREAI INTELLIGENCE
UTC
Pro Mode — raw scores, one benchmark under the lensthird-party eval harness
The field · 17 measured
3.85237.462

17 models measured, most on the third-party eval harness. Marco-o1 tops the board at 37.462.

17 measured·Lifecycle Updated Oct 8, 2026Score basis
#◆Vendor$/M in$/M out
Leader — ignites whiteField — fill cools with scoreBars show 3.852–37.462 · ◆ solid = first-party or better · outlined = arm's-length
01Marco-o1AIDC-AI37.462———
02Yi 1.5 34B Chat01.AI27.719———
03NuminaMath-7B-CoTAI-MO26.964———
04Yi 1.5 9B Chat01.AI22.583———
05Yi 1.5 34B Chat 16K01.AI21.375———
06Yi 1.5 9B Chat 16K01.AI17.825———
07Yi 1.5 6B Chat01.AI16.239———
08NuminaMath-7B-TIRAI-MO16.088———
09Yi 1.5 34B 32K01.AI15.408———
10Yi 1.5 34B01.AI15.332———
11Yi 1.5 9B01.AI11.405———
12Yi 1.5 9B 32K01.AI10.801———
13Yi 1.5 6B01.AI6.647———
14Yi 9B 200K01.AI6.647———
15Yi 9B01.AI5.589———
16Yi Coder 9B Chat01.AI4.003———
17Llama 3 Instruct 8BMeta3.852$0.04/M$0.14/M$0.025
◆ 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