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tensor.news grades benchmarks and tags model claims by evidence status. Every fact carries a source record and provenance. Scores are framed as task performance under a disclosed harness, never as deployed capability.

The evidence layer for AI model claims

Benchmark Integrity Index

A score is f(model, harness, protocol), not f(model). We evaluate the evaluations — grading each benchmark on discrimination, saturation, contamination, and harness comparability — so you know which numbers still mean something.

51 benchmarks graded, most trustworthy first. Every input is source-backed.

saturated · belief erodes50607080901000.20.40.60.81.0saturation — top score's proximity to ceiling →integrity →OTIS Mock AIME 2024-2025GPQA diamondMMLULAMBADA
ABCDdot size = models scored · 51 benchmarks
#GradeBenchmarkSignalsTop score
1
A100
APEX-Agents
consistent harnesspublic test set
Gemini 3.5 Flash
49.6 · 39 models
2
A100
Chess Puzzles
consistent harnesspublic test set
GPT-5.5 Pro
64 · 44 models
3
A100
HLE
consistent harnesspublic test set
Gemini 3.1 Pro
43.74 · 37 models
4
A100
SimpleQA Verified
consistent harnesspublic test set
Gemini 3.1 Pro
77.3 · 51 models
5
A99
ARC-AGI-2
consistent harnessheld-out test set
GPT-5.5
85 · 58 models
6
A99
FrontierMath-2025-02-28-Private
consistent harnessheld-out test set
Muse Spark
68.42 · 45 models
7
A99
FrontierMath-Tier-4-v2-Private
consistent harnessheld-out test set
Claude Fable 5
87.8 · 31 models
8
A98
CadEval
consistent harnesspublic test set
o3
74 · 14 models
9
A98
CursorBench
consistent harnesspublic test set
Claude Fable 5
72.9 · 9 models
10
A98
FrontierMath-Tiers-1-3-v2-Private
consistent harnessheld-out test set
GPT-5.5 Pro
87.72 · 31 models
11
A98
GBAEval
consistent harnesspublic test set
Claude Fable 5
74.47 · 14 models
12
A98
GDPval
consistent harnesspublic test set
GPT-5.2
49.7 · 11 models
13
A93
FrontierMath-Tier-4-2025-07-01-Private
consistent harnessheld-out test set
Gemini 3 Pro
31.25 · 27 models
14
A92
CritPt
consistent harnesspublic test set
GPT-5.5 Pro
30.57 · 47 models
15
A92
The Agent Company
consistent harnesspublic test set
DeepSeek-V3.2-Exp
42.9 · 14 models
16
A90
GSO-Bench
consistent harnesspublic test set
Claude Opus 4.7
44.12 · 22 models
17
A89
Balrog
consistent harnesspublic test set
Gemini 3 Pro
58.1 · 24 models
18
A89
ExploitBench
consistent harnesspublic test set
GPT-5.5
41 · 8 models
19
A89
GeoBench
consistent harnesspublic test set
Gemini 3 Flash
88 · 26 models
20
A89
PostTrainBench
consistent harnesspublic test set
GLM-5.2
34.29 · 19 models
21
A88
OTIS Mock AIME 2024-2025
consistent harnesspublic test setsaturated
GPT-5.5
100 · 112 models
22
A88
WeirdML
consistent harnesspublic test set
Claude Fable 5
87.85 · 93 models
23
A87
Aider polyglot
consistent harnesspublic test set
GPT-5
88 · 44 models
24
A87
Fiction.LiveBench
consistent harnesspublic test set
o3-pro
97.2 · 45 models
25
A87
VPCT
consistent harnesspublic test set
Gemini 3 Pro
86.5 · 26 models
26
A86
SimpleBench
consistent harnesspublic test set
Claude Fable 5
78.28 · 64 models
27
B84
Terminal Bench
consistent harnesspublic test set
Claude Opus 4.7
90.2 · 33 models
28
B83
SWE-Bench verified
consistent harnesspublic test set
Claude Opus 4.7
83.47 · 32 models
29
B82
CL-bench
consistent harnesspublic test set
GPT-5.4
27.9 · 19 models
30
B81
CL-bench Life
consistent harnesspublic test set
GPT-5.5
22.2 · 13 models
31
B81
GPQA diamond
consistent harnesspublic test set
GPT-5.4 Pro
92.8 · 122 models
32
B81
OSWorld 2.0
consistent harnesspublic test set
Claude Opus 4.8
20.6 · 5 models
33
B81
Remote Labor Index
consistent harnesspublic test set
Claude Fable 5
16.1 · 9 models
34
B80
OSWorld
consistent harnesspublic test set
Claude Sonnet 4.6
72.1 · 8 models
35
B79
Cybench
mixed harness, not directly comparablepublic test set
Claude Opus 4.6
93 · 19 models
36
B78
DeepResearch Bench
consistent harnesspublic test set
Claude Opus 4.6
55.31 · 22 models
37
B76
Lech Mazur Writing
consistent harnesspublic test set
Kimi K2 (Sep 2025)
87.29 · 39 models
38
B74
ARC-AGI
consistent harnesspublic test set
Gemini 3.1 Pro
98 · 59 models
39
B73
MATH level 5
consistent harnesspublic test setsaturated
GPT-5
98.13 · 78 models
40
B71
BBH
mixed harness, not directly comparablepublic test set
Gemini 1.5 Pro (May 2024)
85.6 · 41 models
41
C69
GSM8K
mixed harness, not directly comparablepublic test set
GPT-4 (Mar 2023)
92 · 56 models
42
C68
ScienceQA
mixed harness, not directly comparablepublic test set
GPT-4o (May 2024)
84.67 · 6 models
43
C67
HellaSwag
mixed harness, not directly comparablepublic test set
GPT-4 (Mar 2023)
93.73 · 52 models
44
C67
MMLU
mixed harness, not directly comparablepublic test set
GPT-4o (Nov 2024)
84.13 · 98 models
45
C66
ARC AI2
mixed harness, not directly comparablepublic test set
Llama 3.1-405B
93.73 · 66 models
46
C63
TriviaQA
mixed harness, not directly comparablepublic test set
Llama 2-70B
87.6 · 32 models
47
C62
PIQA
mixed harness, not directly comparablepublic test set
PowerMoE-3b
79.1 · 44 models
48
C62
Winogrande
mixed harness, not directly comparablepublic test set
Llama 3.1-405B
78.4 · 64 models
49
C61
OpenBookQA
mixed harness, not directly comparablepublic test set
phi-3-mini 3.8B
84 · 33 models
50
C59
ANLI
consistent harnesspublic test set
phi-3-small 7.4B
37.15 · 9 models
51
D54
LAMBADA
mixed harness, not directly comparablepublic test set
Falcon-180B
79.8 · 20 models

How the score works

Integrity = 0.30·discrimination + 0.30·saturation + 0.15·contamination + 0.15·harness + 0.10·age. A high grade means the benchmark still separates models, is not near ceiling, resists training-set contamination, and is scored under a consistent harness. It does not mean the number reflects real-world or agentic performance. That is a separate question we flag but never conflate. Full methodology →