AIEvals

Benchmarks

Vals Multimodal Index

A weighted composite of the multimodal tasks in the independent suite, intended as a single number for image-and-document work.

CompositeVals AI33 models run by Vals AIUpdated 11 August 2026

How it is run

Composites inherit every flaw of their components and hide which one moved.

What it cannot tell you

Use it to shortlist, never to decide. Read the component benchmarks before acting on a difference of a few points.

Leader
Claude Fable 574.15% · Vals AI's own list
Top-ten spread
6.79%Leader minus tenth place, or last place in smaller fields.
Median
60.57%of the 33 rows published
No published result
29of 46 models on this site

Independent leaderboard · Vals AI

Top 33 of 33 runs by Vals AI, one harness.

#ModelScore
1Claude Fable 574.15%
2Claude Opus 573.90%
3Kimi K373.42%
4GPT-5.6 Sol72.64%
5Claude Opus 4.870.89%
6Muse Spark 1.269.80%
7GPT-5.6 Luna69.06%
8Claude Sonnet 568.83%
9GPT-5.568.07%
10Claude Opus 4.767.36%
11Muse Spark 1 166.74%
12Qwen3.8 Max65.39%
13Gemini 3.6 Flash65.08%
14GPT-5.6 Terra65.07%
15Grok 4.563.42%
16Gemini 3.5 Flash62.93%
17Claude Sonnet 4 660.57%
18MiniMax M359.97%
19Kimi K2.656.43%
20Gemini 3.1 Pro56.07%
21Gpt 5.4 Mini 2026 03 1754.22%
22Qwen3.7 Plus53.89%
23Mimo V2.552.77%
24Gemini 3 Flash Preview52.19%
25Qwen3.6 Plus51.52%
26Inkling Small50.05%
27Inkling49.40%
28Gpt 5.4 Nano 2026 03 1747.64%
29Grok 4.343.29%
30Claude Haiku 4 5 20251001 Thinking42.88%
31Gemini 3.1 Flash Lite Preview41.35%
32Grok 4.20 0309 Reasoning39.06%
33Mistral Medium 3.534.77%

No published result tracked

29 of the 46 models on this site have no published number on this benchmark, so their cells in the home table stay blank rather than reading as zero.

Read this with

Benchmarks in the same category, which usually disagree with this one on purpose.

Sources

Every page used for this benchmark, read on 17 October 2026.