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VECTOR WIREAI INTELLIGENCE
UTC
Pro Mode — raw scores, one benchmark under the lensthird-party eval harness
The field · 14 measured
56.2770.2

14 models measured, most on the third-party eval harness. Claude Opus 4.6 tops the board at 70.2.

14 measured·Lifecycle Updated Oct 8, 2026Score basis
#◆Vendor$/M in$/M out
Leader — ignites whiteField — fill cools with scoreBars show 56.27–70.2 · ◆ solid = first-party or better · outlined = arm's-length
01Claude Opus 4.6Anthropic70.2$5.0/M$25.0/M$0.214
02GPT-5.4OpenAI68.58$2.5/M$15.0/M$0.128
03Qwen AgentWorld 397B A17BAlibaba67.89———
04Gemini 3.1 ProGoogle66.92$2.0/M$12.0/M$0.105
05Claude Opus 4.8Anthropic66.62$5.0/M$25.0/M$0.225
06Qwen AgentWorld 35B A3BAlibaba65.92———
07DeepSeek-V4-ProDeepSeek63.7$0.43/M$0.87/M$0.010
08Claude Sonnet 4.6Anthropic63.17$3.0/M$15.0/M$0.142
09Qwen3.5 397B A17BAlibaba60.85$0.60/M$3.6/M$0.035
10Kimi K2.6Moonshot60.8$0.95/M$4.0/M$0.041
11Qwen3.6 PlusAlibaba60.33$0.50/M$3.0/M$0.029
12GLM-5.1Z.ai59.13$1.4/M$4.4/M$0.049
13MiniMax M2.7MiniMax57.73$0.21/M$0.84/M$0.009
14Qwen3.5 35B A3BAlibaba56.27$0.25/M$2.0/M$0.020
◆ 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: 14 models scored · 0 independently verified · 9 vendor cross-reference · 5 vendor-reported · 0 with source disagreement. How these tiers are assigned