AI Battle > Rankings > Humanity's Last Exam: Score

Humanity's Last Exam: Score Ranking — Frontier Evals (2026)

Claude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback) by Anthropic leads the Humanity's Last Exam: Score ranking with a score of 0.59. The ranking covers 20 evaluated frontier evals from a public dataset that AI Battle re-checks daily.

Last updated: . Source: public benchmark datasets and provider pricing, aggregated daily; 20 entries shown.

Claude Fable 5.1 (Adaptive Reasoning, Max Ef0.59Claude Fable 5.1 (Adaptive Reasoning, Xhigh 0.59Claude Fable 5.1 (Adaptive Reasoning, High E0.56Claude Fable 5 (Adaptive Reasoning, Max Effo0.55Claude Opus 5 (Adaptive Reasoning, Max Effor0.55GPT-6 Astra (max)0.55GPT-6 Astra (xhigh)0.55Claude Opus 5 (Adaptive Reasoning, Xhigh Eff0.54Claude Fable 5.1 (Adaptive Reasoning, Medium0.54GPT-5.6 Sol (max)0.49Muse Spark 1.3 (max)0.49Gemini 3.8 Flash (high)0.48Kimi K3 (max)0.47Grok 4.6 (high)0.43GPT-5.6 Terra (max)0.43Qwen3.8 2.4T A95B0.42GLM-5.3 (max)0.42DeepSeek V4 Pro 0813 (Reasoning, Max Effort)0.41GLM-5.3-Flash0.40GPT-5.6 Luna (max)0.39
Every entry in the dataset, scaled from the smallest to the largest published value.

All 20 entries in this dataset

#EntryCreatorValueΔ vs #1
1Claude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback)Anthropic0.590.0%
2Claude Fable 5.1 (Adaptive Reasoning, Xhigh Effort, Default Fallback)Anthropic0.59-0.7%
3Claude Fable 5.1 (Adaptive Reasoning, High Effort, Default Fallback)Anthropic0.56-5.4%
4Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)Anthropic0.55-6.2%
5Claude Opus 5 (Adaptive Reasoning, Max Effort)Anthropic0.55-7.2%
6GPT-6 Astra (max)OpenAI0.55-7.5%
7GPT-6 Astra (xhigh)OpenAI0.55-7.7%
8Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)Anthropic0.54-8.0%
9Claude Fable 5.1 (Adaptive Reasoning, Medium Effort, Default Fallback)Anthropic0.54-9.0%
10GPT-5.6 Sol (max)OpenAI0.49-16.3%
11Muse Spark 1.3 (max)Meta0.49-17.6%
12Gemini 3.8 Flash (high)Google0.48-19.1%
13Kimi K3 (max)Kimi0.47-20.7%
14Grok 4.6 (high)SpaceXAI0.43-27.4%
15GPT-5.6 Terra (max)OpenAI0.43-27.4%
16Qwen3.8 2.4T A95BAlibaba0.42-28.2%
17GLM-5.3 (max)Z AI0.42-28.5%
18DeepSeek V4 Pro 0813 (Reasoning, Max Effort)DeepSeek0.41-30.6%
19GLM-5.3-FlashZ AI0.40-32.6%
20GPT-5.6 Luna (max)OpenAI0.39-33.2%

How the values are distributed

Across the 20 numeric entries in this window the median is 0.49 and the mean is 0.49, so the typical entry sits 0.10 below the leader. The window spans 0.39 to 0.59.

34031162
8 equal buckets between the smallest (0.39) and largest (0.59) value; numbers under bars are entry counts.

10 of 20 entries are at or above the median, and the top three hold 18% of the combined value — read it against the metric below, since a higher number is not "better" for every dataset.

Creators in this ranking

9 creators appear in this window; the three most-represented hold 70% of the entries.

CreatorEntriesHighest valueTop entry
Anthropic70.59Claude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback)
OpenAI50.55GPT-6 Astra (max)
Z AI20.42GLM-5.3 (max)
Meta10.49Muse Spark 1.3 (max)
Google10.48Gemini 3.8 Flash (high)
Kimi10.47Kimi K3 (max)
SpaceXAI10.43Grok 4.6 (high)
Alibaba10.42Qwen3.8 2.4T A95B
DeepSeek10.41DeepSeek V4 Pro 0813 (Reasoning, Max Effort)

Where these models appear in other rankings

The same models are measured across multiple independent datasets. Aggregating the 20 entries above against every other AI Battle dataset gives this cross-section, computed by AI Battle and published nowhere upstream:

ModelDatasetsBest placements elsewhere
Claude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback)36#1/20 in AA-Briefcase Elo, #1/20 in AA-Omniscience Index, #1/20 in Artificial Analysis Intelligence Index by Open Weights / Proprietary
Claude Fable 5.1 (Adaptive Reasoning, Xhigh Effort, Default Fallback)20#2/20 in AA-Omniscience Accuracy, #2/20 in AA-Briefcase Rubric Pass Rate by File Type (Normalized), #2/20 in AA-Briefcase Elo
Claude Fable 5.1 (Adaptive Reasoning, High Effort, Default Fallback)22#1/20 in SciCode: Output Tokens per Task, #2/20 in AA-Omniscience Index: Token Usage, #2/20 in AA-LCR v1.1: Output Tokens per Task
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)40#2/20 in SciCode: Score, #3/20 in AA-Omniscience Index, #3/20 in AA-Omniscience Index
Claude Opus 5 (Adaptive Reasoning, Max Effort)44#2/20 in AA-Briefcase Elo, #2/20 in GDPval-AA v2 Leaderboard, #2/20 in AA-Briefcase Elo
GPT-6 Astra (max)51#1/19 in MMMU-Pro: Score, #2/20 in AA-Omniscience Index, #2/20 in Artificial Analysis Intelligence Index by Open Weights / Proprietary
GPT-6 Astra (xhigh)15#1/20 in Terminal-Bench v4.0: Score, #2/20 in Humanity's Last Exam: Output Tokens per Task, #3/20 in AA-Omniscience Index: Score
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)11#4/20 in AA-Briefcase Rubric Pass Rate by File Type (Normalized), #4/20 in AA-Briefcase Elo, #4/20 in GDPval-AA v2 Leaderboard
Claude Fable 5.1 (Adaptive Reasoning, Medium Effort, Default Fallback)7#1/20 in Humanity's Last Exam: Output Tokens per Task, #1/20 in AA-LCR v1.1: Output Tokens per Task, #2/20 in Humanity's Last Exam: Time per Task
GPT-5.6 Sol (max)56#3/20 in SciCode: Output Tokens per Task, #4/20 in 𝜏³-Banking: Output Tokens per Task, #5/20 in AA-LCR v1.1: Output Tokens per Task
Muse Spark 1.3 (max)61#3/20 in AA-Briefcase Elo, #3/20 in Output Speed, #3/20 in GDPval-AA v2 Leaderboard
Gemini 3.8 Flash (high)60#1/11 in Speed, #1/11 in Speed, #2/20 in Output Speed
Kimi K3 (max)60#1/20 in Context Window, #1/20 in AA-LCR v1.1: Score, #1/14 in Model Size: Total and Active Parameters
Grok 4.6 (high)61#2/20 in 𝜏³-Banking: Score, #5/20 in AA-Briefcase Elo, #5/20 in AA-Omniscience Index
GPT-5.6 Terra (max)52#7/20 in AA-Briefcase Output Tokens per Task, #8/20 in Humanity's Last Exam: Output Tokens per Task, #9/20 in Output Speed
Qwen3.8 2.4T A95B43#2/14 in Model Size: Total and Active Parameters, #5/20 in AA-Briefcase Tool Calls Breakdown, Avg per Task, #5/20 in 𝜏³-Banking: Score
GLM-5.3 (max)57#3/20 in AA-Briefcase Tool Calls Breakdown, Avg per Task, #4/20 in GDPval-AA v2 Leaderboard, #4/20 in AA-Omniscience Hallucination Rate
DeepSeek V4 Pro 0813 (Reasoning, Max Effort)59#3/14 in Model Size: Total and Active Parameters, #3/12 in Artificial Analysis Openness Index: Score, #3/11 in Cost per Task
GLM-5.3-Flash54#1/20 in Pricing: Cache Hit, Input, and Output, #1/20 in Pricing: Cache Hit, Input, and Output, #1/20 in AA-Omniscience Index: Cost Breakdown
GPT-5.6 Luna (max)58#1/11 in Cost per Task, #1/11 in Cost per Task, #3/20 in Pricing: Cache Hit, Input, and Output

Metric reference

This ranking carries the metric Humanity's Last Exam from the Humanity's Last Exam: Score dataset in the tab::eval-hle family. Units and the direction of "better" are not declared by the source dataset, so AI Battle does not invent them: values are shown exactly as published, and the ordering is the source dataset's own.

How this ranking is built

Rebuilt on from the public dataset Humanity's Last Exam: Score (family tab::eval-hle). The source lists 20 entries and all 20 are shown here. AI Battle requests the dataset's rows, keeps the ordering the source publishes, and computes only the statistics on this page: median, mean, spread, the #1–#2 gap, the creator breakdown and the raw-data file. Nothing on this page is generated text about the entries — the numbers come from the source.

Refresh cadence: every deploy re-pulls the dataset, so this page tracks the source's own update cycle. Corrections: see the methodology page.

Limitations

Raw data

Machine-readable copy of this table, with the statistics below and the source provenance: /data/rankings/eval-hle-humanity-s-last-exam-score.json. Free to reuse with attribution to AI Battle and the source dataset.

FAQ — Humanity's Last Exam: Score

What is the best model for Humanity's Last Exam: Score in 2026?

Claude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback) by Anthropic currently leads the Humanity's Last Exam: Score ranking with a score of 0.59, the highest value in this dataset across Frontier Evals. AI Battle aggregates the dataset from its public source and re-checks it daily.

How often is the Humanity's Last Exam: Score ranking updated?

The Humanity's Last Exam: Score ranking is rebuilt daily from the upstream public dataset. Scores are the source dataset's own published values, so positions track whatever that source last released — each ranking page names the dataset it comes from.

Which models rank in the top 3 for Humanity's Last Exam: Score?

The top 3 are: 1. Claude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback) (0.59), 2. Claude Fable 5.1 (Adaptive Reasoning, Xhigh Effort, Default Fallback) (0.59), 3. Claude Fable 5.1 (Adaptive Reasoning, High Effort, Default Fallback) (0.56).

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