AI Battle > Rankings > AA-LCR v1.1: Score
Kimi K3 (max) by Kimi leads the AA-LCR v1.1: Score ranking with a score of 0.89. The ranking covers 20 evaluated eval lcr 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 | Kimi K3 (max) | Kimi | 0.89 | 0.0% |
| 2 | Claude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback) | Anthropic | 0.85 | -3.8% |
| 3 | Claude Fable 5.1 (Adaptive Reasoning, Medium Effort, Default Fallback) | Anthropic | 0.85 | -4.5% |
| 4 | GPT-5.5 (xhigh) | OpenAI | 0.84 | -4.9% |
| 5 | GPT-5.5 (high) | OpenAI | 0.84 | -4.9% |
| 6 | GPT-5.6 Sol (max) | OpenAI | 0.84 | -5.3% |
| 7 | Gemini 3.8 Flash (medium) | 0.84 | -5.3% | |
| 8 | DeepSeek V4.1 Flash (Reasoning, Max Effort) | DeepSeek | 0.84 | -5.3% |
| 9 | Claude Fable 5.1 (Adaptive Reasoning, High Effort, Default Fallback) | Anthropic | 0.84 | -5.6% |
| 10 | GPT-5.6 Luna (max) | OpenAI | 0.84 | -5.6% |
| 11 | Muse Glimmer (high) | Meta | 0.83 | -6.0% |
| 12 | Muse Spark 1.3 (max) | Meta | 0.83 | -6.4% |
| 13 | GPT-5.6 Terra (max) | OpenAI | 0.83 | -6.4% |
| 14 | MiniMax-M3 | MiniMax | 0.83 | -6.4% |
| 15 | Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) | Anthropic | 0.82 | -7.1% |
| 16 | Qwen3.8 27B (xhigh) | Alibaba | 0.82 | -7.5% |
| 17 | Gemini 3.8 Flash (high) | 0.81 | -8.3% | |
| 18 | GPT-6 Astra (max) | OpenAI | 0.81 | -9.0% |
| 19 | Grok 4.6 (high) | SpaceXAI | 0.80 | -9.4% |
| 20 | Qwen3.8 2.4T A95B | Alibaba | 0.80 | -9.4% |
Across the 20 numeric entries in this window the median is 0.83 and the mean is 0.83, so the typical entry sits 0.05 below the leader. The window spans 0.80 to 0.89.
10 of 20 entries are at or above the median, and the top three hold 16% 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 60% of the entries.
| Creator | Entries | Highest value | Top entry |
|---|---|---|---|
| OpenAI | 6 | 0.84 | GPT-5.5 (xhigh) |
| Anthropic | 4 | 0.85 | Claude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback) |
| 2 | 0.84 | Gemini 3.8 Flash (medium) | |
| Meta | 2 | 0.83 | Muse Glimmer (high) |
| Alibaba | 2 | 0.82 | Qwen3.8 27B (xhigh) |
| Kimi | 1 | 0.89 | Kimi K3 (max) |
| DeepSeek | 1 | 0.84 | DeepSeek V4.1 Flash (Reasoning, Max Effort) |
| MiniMax | 1 | 0.83 | MiniMax-M3 |
| SpaceXAI | 1 | 0.80 | Grok 4.6 (high) |
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 |
|---|---|---|
| Kimi K3 (max) | 60 | #1/20 in Context Window, #1/14 in Model Size: Total and Active Parameters, #4/20 in SciCode: Output Tokens per Task |
| 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, 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-5.5 (xhigh) | 3 | #9/20 in AA-LCR v1.1: Output Tokens per Task, #11/20 in AA-LCR v1.1: Time per Task |
| GPT-5.5 (high) | 3 | #4/20 in AA-LCR v1.1: Output Tokens per Task, #6/20 in AA-LCR v1.1: 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 |
| Gemini 3.8 Flash (medium) | 3 | #10/20 in AA-LCR v1.1: Cost per Task, #18/20 in AA-LCR v1.1: Output Tokens per Task |
| DeepSeek V4.1 Flash (Reasoning, Max Effort) | 56 | #3/20 in End-to-End Response Time, #3/20 in Latency: Time To First Answer Token, #2/11 in Cost per Task |
| 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 |
| 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 |
| 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 |
| Muse Spark 1.3 (max) | 61 | #3/20 in AA-Briefcase Elo, #3/20 in Output Speed, #3/20 in GDPval-AA v2 Leaderboard |
| 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 |
| 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 |
| 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 |
| Qwen3.8 27B (xhigh) | 43 | #6/20 in AA-Omniscience Hallucination Rate, #6/20 in 𝜏³-Banking: Score, #8/20 in AA-LCR v1.1: Cost per Task |
| Gemini 3.8 Flash (high) | 60 | #1/11 in Speed, #1/11 in Speed, #2/20 in Output Speed |
| 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 |
| Grok 4.6 (high) | 61 | #2/20 in 𝜏³-Banking: Score, #5/20 in AA-Briefcase Elo, #5/20 in AA-Omniscience Index |
| Qwen3.8 2.4T A95B | 43 | #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 |
This ranking carries the metric
AA-LCR v1.1 from the
AA-LCR v1.1: Score dataset in the tab::eval-lcr 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 AA-LCR v1.1: Score (family tab::eval-lcr).
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-lcr-aa-lcr-v1-1-score.json. Free to reuse with attribution to AI Battle and the source dataset.
Kimi K3 (max) by Kimi currently leads the AA-LCR v1.1: Score ranking with a score of 0.89, the highest value in this dataset across eval lcr. AI Battle aggregates the dataset from its public source and re-checks it daily.
The AA-LCR v1.1: 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.
The top 3 are: 1. Kimi K3 (max) (0.89), 2. Claude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback) (0.85), 3. Claude Fable 5.1 (Adaptive Reasoning, Medium Effort, Default Fallback) (0.85).