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VECTOR WIREAI INTELLIGENCE
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Models741Deals30d268Policy30d67, 15 pendingSources1,014
Pro Mode — raw scores, one benchmark under the lensofficial card harness
The field · 21 measured
74.491.6

21 models measured, most on the official card harness. MiniMax M3 tops the board at 91.6.

21 measured·Lifecycle Updated Oct 8, 2026Score basis
#◆Vendor$/M in$/M out
Leader — ignites whiteField — fill cools with scoreBars show 74.4–91.6 · ◆ solid = first-party or better · outlined = arm's-length
01MiniMax M3MiniMax91.6$0.28/M$1.1/M$0.008
02Qwen3.7 Plus PreviewAlibaba91.4$0.40/M$1.6/M$0.011
03Qwen3.6 PlusAlibaba91.2$0.50/M$3.0/M$0.019
04Qwen3.8 27BAlibaba91.1$0.50/M$3.0/M$0.019
05Qwen3.6 35B A3B+1 altAlibaba89.9$0.38/M$2.3/M$0.015
06Qwen3.5 122B A10BAlibaba89.8$0.40/M$3.2/M$0.020
07Qwen3.5 35B A3B+1 altAlibaba89.3$0.25/M$2.0/M$0.013
08GPT-5.4OpenAI89.1$2.5/M$15.0/M$0.098
09Qwen3.5 27B+1 altAlibaba88.9$0.30/M$2.4/M$0.015
10Kimi K2.5+1 altMoonshot88.8$0.45/M$2.3/M$0.015
11Gemini 3 ProGoogle88.53P$2.0/M$12.0/M$0.079
12Claude Opus 4.5Anthropic87.73P$5.0/M$25.0/M$0.171
13GPT-5.5 InstantOpenAI87.5$5.0/M$30.0/M$0.200
14GPT-5.4 miniOpenAI87.37$0.75/M$4.5/M$0.030
15Claude Sonnet 4.5Anthropic85.8$3.0/M$15.0/M$0.105
16GPT-5.2OpenAI85.73P$1.8/M$14.0/M$0.092
17Qwen3 VL 235B A22B ReasoningAlibaba823P$0.40/M$4.0/M$0.027
18Gemma 4 31BGoogle80.1$0.17/M$0.40/M$0.004
19GPT-5.4 nanoOpenAI75.81$0.20/M$1.3/M$0.010
20Muse GlimmerMeta75.8$0.33/M$1.4/M$0.011
21Gemma 4 26B A4BGoogle74.4$0.07/M$0.34/M$0.003
◆ 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: 21 models scored · 0 independently verified · 7 vendor cross-reference · 14 vendor-reported · 0 with source disagreement. How these tiers are assigned