MMODELYST
Capabilities/Knowledge & QA
CAP

Knowledge & QA

League table — best at knowledge & qa · 30
mean percentile across this capability's benchmarks
#ModelLeagueCoverage$/1Mtok/s
1Gemini 3 Pro Preview100.01/2$4.5
2Claude Opus 4.599.91/2$1057
3Gemini 3 Flash Preview99.91/2$1.13202
4Claude 4.1 Opus99.81/2$3039
5MiniMax-M2.199.81/2$0.52579
6Claude 4.5 Sonnet99.71/2$652
7GPT-5.299.71/2$4.8181
8Claude 4 Opus99.61/2$30
9GPT-599.51/2$3.44102
10GPT-5.199.51/2$3.44114
11Grok 499.41/2$11
12GPT-5 Codex99.41/2$3.44175
13DeepSeek V3.2 Speciale99.31/2
14DeepSeek V3.299.31/2$0.315
15Gemini 2.5 Pro99.21/2$3.44140
16GPT-5.1 Codex99.11/2$3.44191
17Gemini 2.5 Pro Preview (Mar' 25)99.11/2
18o199.12/2$26.25139
19GLM-4.799.01/2$1137
20Grok 4.1 Fast99.01/2
21Doubao Seed Code98.91/2
22o398.91/2$3.5153
23DeepSeek V3.1 Terminus98.81/2$1.91
24Grok 4 Fast98.71/2$0.275
25DeepSeek V3.2 Exp98.71/2$0.315
26DeepSeek R1 0528 (May '25)98.61/2$2.06
27Cogito v2.198.61/2$1.2596
28Kimi K2 Thinking98.51/2$1.07171
29DeepSeek R1 (Jan '25)98.51/2$2.43
30Qwen3 235B A22B 250798.41/2$2.6368

League = a model's mean percentile across the 2 benchmarksin this capability (best score per benchmark; partial coverage shown). Price & speed via Artificial Analysis.

Benchmarks in this capability (2)
MMLU17 scores
MMLU-Pro1758 scores