AI Battle > Rankings > πΒ³-Banking: Score
Qwen3.8 Max by Alibaba leads the πΒ³-Banking: Score ranking with a score of 0.51. The ranking covers 20 evaluated eval tau3 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 | Ξ vs #1 |
|---|---|---|---|---|
| 1 | Qwen3.8 Max | Alibaba | 0.51 | 0.0% |
| 2 | Grok 4.6 (high) | SpaceXAI | 0.51 | -1.2% |
| 3 | Muse Spark 1.3 (max) | Meta | 0.51 | -1.6% |
| 4 | GLM-5.3 (max) | Z AI | 0.50 | -2.0% |
| 5 | Qwen3.8 2.4T A95B | Alibaba | 0.49 | -4.4% |
| 6 | Qwen3.8 27B (xhigh) | Alibaba | 0.48 | -6.4% |
| 7 | Agnes 3.0 Flash | Sapiens AI | 0.48 | -7.2% |
| 8 | Qwen3.8 27B (medium) | Alibaba | 0.47 | -7.6% |
| 9 | Claude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback) | Anthropic | 0.47 | -8.0% |
| 10 | Muse Spark 1.3 (xhigh) | Meta | 0.47 | -8.0% |
| 11 | GLM-5.3-Flash | Z AI | 0.47 | -8.0% |
| 12 | Kimi K3 (max) | Kimi | 0.46 | -10.4% |
| 13 | Claude Fable 5.1 (Adaptive Reasoning, Xhigh Effort, Default Fallback) | Anthropic | 0.46 | -10.8% |
| 14 | Gemini 3.8 Flash (high) | 0.45 | -12.4% | |
| 15 | GPT-5.6 Sol (max) | OpenAI | 0.44 | -13.7% |
| 16 | Claude Opus 5 (Adaptive Reasoning, Max Effort) | Anthropic | 0.42 | -18.1% |
| 17 | GPT-6 Astra (max) | OpenAI | 0.41 | -19.3% |
| 18 | GPT-5.6 Terra (max) | OpenAI | 0.40 | -21.7% |
| 19 | DeepSeek V4 Pro 0813 (Reasoning, Max Effort) | DeepSeek | 0.40 | -22.9% |
| 20 | Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) | Anthropic | 0.38 | -25.7% |
Across the 20 numeric entries in this window the median is 0.47 and the mean is 0.46, so the typical entry sits 0.04 below the leader. The window spans 0.38 to 0.51.
11 of 20 entries are at or above the median, and the top three hold 17% of the combined value β read it against the metric below, since a higher number is not "better" for every dataset.
10 creators appear in this window; the three most-represented hold 55% of the entries.
| Creator | Entries | Highest value | Top entry |
|---|---|---|---|
| Alibaba | 4 | 0.51 | Qwen3.8 Max |
| Anthropic | 4 | 0.47 | Claude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback) |
| OpenAI | 3 | 0.44 | GPT-5.6 Sol (max) |
| Meta | 2 | 0.51 | Muse Spark 1.3 (max) |
| Z AI | 2 | 0.50 | GLM-5.3 (max) |
| SpaceXAI | 1 | 0.51 | Grok 4.6 (high) |
| Sapiens AI | 1 | 0.48 | Agnes 3.0 Flash |
| Kimi | 1 | 0.46 | Kimi K3 (max) |
| 1 | 0.45 | Gemini 3.8 Flash (high) | |
| DeepSeek | 1 | 0.40 | DeepSeek V4 Pro 0813 (Reasoning, Max Effort) |
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 |
|---|---|---|
| Qwen3.8 Max | 3 | #10/20 in πΒ³-Banking: Output Tokens per Task, #20/20 in πΒ³-Banking: Cost per Task |
| Grok 4.6 (high) | 61 | #5/20 in AA-Briefcase Elo, #5/20 in AA-Omniscience Index, #5/20 in AA-Omniscience Index |
| Muse Spark 1.3 (max) | 61 | #3/20 in AA-Briefcase Elo, #3/20 in Output Speed, #3/20 in GDPval-AA v2 Leaderboard |
| 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 |
| 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, #6/20 in GDPval-AA v2: Average Turns per Task |
| Qwen3.8 27B (xhigh) | 43 | #6/20 in AA-Omniscience Hallucination Rate, #8/20 in AA-LCR v1.1: Cost per Task, #8/19 in MMMU-Pro: Total Cost to Run |
| Agnes 3.0 Flash | 3 | #1/20 in πΒ³-Banking: Cost per Task, #4/20 in πΒ³-Banking: Time per Task |
| Qwen3.8 27B (medium) | 3 | #7/20 in πΒ³-Banking: Output Tokens per Task, #9/20 in πΒ³-Banking: Cost 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 |
| Muse Spark 1.3 (xhigh) | 12 | #3/20 in πΒ³-Banking: Time per Task, #5/20 in SciCode: Score, #7/20 in GDPval-AA v2 Leaderboard |
| GLM-5.3-Flash | 54 | #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 |
| 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 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) |
| Gemini 3.8 Flash (high) | 60 | #1/11 in Speed, #1/11 in Speed, #2/20 in Output Speed |
| GPT-5.6 Sol (max) | 56 | #3/20 in SciCode: Output Tokens per Task, #4/20 in πΒ³-Banking: Output Tokens per Task, #5/20 in AA-LCR v1.1: Output Tokens per Task |
| 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-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 |
| 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 |
| 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 |
This ranking carries the metric
πΒ³-Banking from the
πΒ³-Banking: Score dataset in the tab::eval-tau3 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 πΒ³-Banking: Score (family tab::eval-tau3).
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 #1β#2 gap, the creator breakdown and the raw-data file.
Nothing on this page is generated text about the entries β 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-tau3-3-banking-score.json. Free to reuse with attribution to AI Battle and the source dataset.
Qwen3.8 Max by Alibaba currently leads the πΒ³-Banking: Score ranking with a score of 0.51, the highest value in this dataset across eval tau3. AI Battle aggregates the dataset from its public source and re-checks it daily.
The πΒ³-Banking: 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 β each ranking page names the dataset it comes from.
The top 3 are: 1. Qwen3.8 Max (0.51), 2. Grok 4.6 (high) (0.51), 3. Muse Spark 1.3 (max) (0.51).