Benchmarks / Composite

Vals Multimodal Index v1.2

Benchmark consisting of a weighted performance across finance, coding, and education tasks. Showing the potential impact that LLM's can have on the economy. Scores are the values published by VALS AI. Source benchmark version 1.2.

33models
–Open Index weight
2026-08-11last updated
Vals AIpublisher

Vals Multimodal Index v1.2

Higher is better · best effort per model

Chart settings
33 of 33 selected

full table below

#ModelEffortScoreCost / taskHarness
1Fable 5max74.2%$7.97–
2Opus 5max73.9%$6.14–
3Kimi K3max73.4%$1.70–
4GPT-5.6 Solmax72.6%$5.36–
5Opus 4.8max70.9%$5.46–
6Muse Spark 1.2max69.8%$0.506–
7GPT-5.6 Lunamax69.1%$0.161–
8Sonnet 5max68.8%$6.53–
9GPT-5.5xhigh68.1%$3.32–
10Opus 4.7high67.4%$4.44–
11Muse Spark 1.1xhigh66.7%$0.363–
12Qwen 3.8 Maxmax65.4%$1.93–
13Gemini 3.6 Flashhigh65.1%$1.02–
14GPT-5.6 Terraxhigh65.1%$0.801–
15Grok 4.5high63.4%$0.911–
16Gemini 3.5 Flashhigh62.9%$1.01–
17Sonnet 4.6max60.6%$1.58–
18MiniMax M3max60.0%$1.08–
19Kimi K2.6max56.4%$0.518–
20Gemini 3.1 Prohigh56.1%$0.978–
21GPT-5.4 Minixhigh54.2%$0.488–
22Qwen 3.7 Plushigh53.9%$0.255–
23MiMo V2.5xhigh52.8%$0.029–
24Gemini 3 Flashhigh52.2%$0.287–
25Qwen 3.6 Plusmax51.5%$1.12–
26Inkling Smallxhigh50.1%$0.139–
27Inklingmax49.4%$0.632–
28GPT-5.4 Nanohigh47.6%$0.233–
29Grok 4.3high43.3%$0.497–
30Haiku 4.5xhigh42.9%$0.409–
31Gemini 3.1 Flash-Litehigh41.4%$0.123–
32Grok 4.20xhigh39.1%$0.398–
33Mistral Medium 3.5high34.8%$3.45–