AI Battle > Rankings > Humanity's Last Exam: Output Tokens per Task
Claude Fable 5.1 (Adaptive Reasoning, Medium Effort, Default Fallback) by Anthropic leads the Humanity's Last Exam: Output Tokens per Task ranking with a score of 451. 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.
| # | Entry | Creator | Value | Δ vs #1 |
|---|---|---|---|---|
| 1 | Claude Fable 5.1 (Adaptive Reasoning, Medium Effort, Default Fallback) | Anthropic | 451 | 0.0% |
| 2 | GPT-6 Astra (xhigh) | OpenAI | 280 | -37.9% |
| 3 | GPT-6 Astra (max) | OpenAI | 276 | -38.8% |
| 4 | Claude Fable 5.1 (Adaptive Reasoning, High Effort, Default Fallback) | Anthropic | 506 | 12.2% |
| 5 | Gemini 3.5 Flash-Lite | 367 | -18.6% | |
| 6 | Muse Glimmer (high) | Meta | 642 | 42.4% |
| 7 | GPT-5.6 Sol (max) | OpenAI | 218 | -51.7% |
| 8 | GPT-5.6 Terra (max) | OpenAI | 216 | -52.0% |
| 9 | Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) | Anthropic | 580 | 28.6% |
| 10 | Grok 4.6 (high) | SpaceXAI | 250 | -44.6% |
| 11 | Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) | Anthropic | 760 | 68.6% |
| 12 | Claude Fable 5.1 (Adaptive Reasoning, Xhigh Effort, Default Fallback) | Anthropic | 607 | 34.8% |
| 13 | MiniMax-M3 | MiniMax | 466 | 3.5% |
| 14 | gpt-oss-120b (high) | OpenAI | 634 | 40.7% |
| 15 | K2 Horizon 375B A23B | MBZUAI Institute of Foundation Models | 181 | -60.0% |
| 16 | GPT-5.6 Luna (max) | OpenAI | 237 | -47.5% |
| 17 | Gemini 3.8 Flash (high) | 606 | 34.5% | |
| 18 | Kimi K3 (max) | Kimi | 240 | -46.8% |
| 19 | Claude Opus 5 (Adaptive Reasoning, Max Effort) | Anthropic | 841 | 86.7% |
| 20 | Mistral Medium 3.5 | Mistral | 331 | -26.5% |
Across the 20 numeric entries in this window the median is 409 and the mean is 434, so the typical entry sits 42.0 below the leader. The window spans 181 to 841.
10 of 20 entries are at or above the median, and the top three hold 26% of the combined value — read it against the metric below, since a higher number is not "better" for every dataset.
9 creators appear in this window; the three most-represented hold 70% of the entries.
| Creator | Entries | Highest value | Top entry |
|---|---|---|---|
| Anthropic | 6 | 841 | Claude Opus 5 (Adaptive Reasoning, Max Effort) |
| OpenAI | 6 | 634 | gpt-oss-120b (high) |
| 2 | 606 | Gemini 3.8 Flash (high) | |
| Meta | 1 | 642 | Muse Glimmer (high) |
| MiniMax | 1 | 466 | MiniMax-M3 |
| Mistral | 1 | 331 | Mistral Medium 3.5 |
| SpaceXAI | 1 | 250 | Grok 4.6 (high) |
| Kimi | 1 | 240 | Kimi K3 (max) |
| MBZUAI Institute of Foundation Models | 1 | 181 | K2 Horizon 375B A23B |
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:
| Model | Datasets | Best placements elsewhere |
|---|---|---|
| Claude Fable 5.1 (Adaptive Reasoning, Medium Effort, Default Fallback) | 7 | #1/20 in AA-LCR v1.1: Output Tokens per Task, #2/20 in Humanity's Last Exam: Time per Task, #3/20 in AA-LCR v1.1: Score |
| GPT-6 Astra (xhigh) | 15 | #1/20 in Terminal-Bench v4.0: Score, #3/20 in AA-Omniscience Index: Score, #3/19 in MMMU-Pro: Token Usage |
| 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 |
| 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 |
| Gemini 3.5 Flash-Lite | 44 | #1/20 in End-to-End Response Time, #1/20 in Output Speed, #1/20 in Time per Intelligence Index Task |
| Muse Glimmer (high) | 43 | #1/20 in Output Tokens per Intelligence Index Task, #1/20 in Cost per Intelligence Index Task, #1/20 in Cost per Intelligence Index 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 |
| GPT-5.6 Terra (max) | 52 | #7/20 in AA-Briefcase Output Tokens per Task, #9/20 in Output Speed, #9/20 in Output Speed |
| 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 |
| Grok 4.6 (high) | 61 | #2/20 in 𝜏³-Banking: Score, #5/20 in AA-Briefcase Elo, #5/20 in AA-Omniscience Index |
| 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, Xhigh Effort, Default Fallback) | 20 | #2/20 in Humanity's Last Exam: Score, #2/20 in AA-Omniscience Accuracy, #2/20 in AA-Briefcase Rubric Pass Rate by File Type (Normalized) |
| MiniMax-M3 | 57 | #1/20 in AA-Omniscience Hallucination Rate, #1/20 in 𝜏³-Banking: Output Tokens per Task, #4/20 in Pricing: Cache Hit, Input, and Output |
| gpt-oss-120b (high) | 39 | #1/20 in Cost to Run Artificial Analysis Intelligence Index, #1/20 in Cost to Run Artificial Analysis Intelligence Index, #1/20 in Humanity's Last Exam: Cost per Task |
| K2 Horizon 375B A23B | 24 | #2/20 in AA-Omniscience Hallucination Rate, #8/20 in AA-Briefcase Tool Calls Breakdown, Avg per Task, #12/20 in AA-Omniscience Index: Token Usage |
| 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 |
| 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 |
| 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 |
| Mistral Medium 3.5 | 41 | #2/20 in GDPval-AA v2: Output Tokens per Task, #3/20 in Output Tokens per Intelligence Index Task, #3/20 in Output Tokens per Intelligence Index Task |
This ranking carries the metrics
answer, reasoning from the
Humanity's Last Exam: Output Tokens per Task 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.
Rebuilt on from the
public dataset Humanity's Last Exam: Output Tokens per Task (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.
Machine-readable copy of this table, with the statistics below and the source provenance: /data/rankings/eval-hle-humanity-s-last-exam-output-tokens-per-task.json. Free to reuse with attribution to AI Battle and the source dataset.
Claude Fable 5.1 (Adaptive Reasoning, Medium Effort, Default Fallback) by Anthropic currently leads the Humanity's Last Exam: Output Tokens per Task ranking with a score of 451, the highest value in this dataset across Frontier Evals. AI Battle aggregates the dataset from its public source and re-checks it daily.
The Humanity's Last Exam: Output Tokens per Task 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.
The top 3 are: 1. Claude Fable 5.1 (Adaptive Reasoning, Medium Effort, Default Fallback) (451), 2. GPT-6 Astra (xhigh) (280), 3. GPT-6 Astra (max) (276).