AI Battle > Rankings > 𝜏³-Banking: Cost per Task

𝜏³-Banking: Cost per Task Ranking β€” eval tau3 (2026)

Agnes 3.0 Flash by Sapiens AI leads the 𝜏³-Banking: Cost per Task ranking with a score of 0.00. 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.

Agnes 3.0 Flash0.00GLM-5.3-Flash0.00GPT-5.6 Luna (max)0.00Muse Glimmer (high)0.00MiniMax-M30.00Gemini 3.5 Flash-Lite0.00gpt-oss-120b (high)0.00DeepSeek V4 Pro 0813 (Reasoning, Max Effort)0.00Qwen3.8 27B (medium)0.00Qwen3.8 27B (xhigh)0.00GLM-5.3 (max)0.00Nemotron 3 Ultra 550B A55B (Reasoning)0.00Inkling (xhigh)0.00Mistral Medium 3.50.00Muse Spark 1.3 (xhigh)0.00Gemini 3.8 Flash (high)0.00Muse Spark 1.3 (max)0.00GPT-5.6 Terra (max)0.00Qwen3.8 2.4T A95B0.00Qwen3.8 Max0.00
Every entry in the dataset, scaled from the smallest to the largest published value.

All 20 entries in this dataset

#EntryCreatorValueΞ” vs #1
1Agnes 3.0 FlashSapiens AI0.00β€”
2GLM-5.3-FlashZ AI0.00β€”
3GPT-5.6 Luna (max)OpenAI0.00β€”
4Muse Glimmer (high)Meta0.00β€”
5MiniMax-M3MiniMax0.00β€”
6Gemini 3.5 Flash-LiteGoogle0.00β€”
7gpt-oss-120b (high)OpenAI0.00β€”
8DeepSeek V4 Pro 0813 (Reasoning, Max Effort)DeepSeek0.00β€”
9Qwen3.8 27B (medium)Alibaba0.00β€”
10Qwen3.8 27B (xhigh)Alibaba0.00β€”
11GLM-5.3 (max)Z AI0.00β€”
12Nemotron 3 Ultra 550B A55B (Reasoning)NVIDIA0.00β€”
13Inkling (xhigh)Thinking Machines0.00β€”
14Mistral Medium 3.5Mistral0.00β€”
15Muse Spark 1.3 (xhigh)Meta0.00β€”
16Gemini 3.8 Flash (high)Google0.00β€”
17Muse Spark 1.3 (max)Meta0.00β€”
18GPT-5.6 Terra (max)OpenAI0.00β€”
19Qwen3.8 2.4T A95BAlibaba0.00β€”
20Qwen3.8 MaxAlibaba0.00β€”

How the values are distributed

Across the 20 numeric entries in this window the median is 0.00 and the mean is 0.00, so the typical entry sits 0.00 below the leader. The window spans 0.00 to 0.00.

200000000
8 equal buckets between the smallest (0.00) and largest (0.00) value; numbers under bars are entry counts.

20 of 20 entries are at or above the median, and the top three hold 0% of the combined value β€” read it against the metric below, since a higher number is not "better" for every dataset.

Creators in this ranking

11 creators appear in this window; the three most-represented hold 50% of the entries.

CreatorEntriesHighest valueTop entry
Alibaba40.00Qwen3.8 27B (medium)
OpenAI30.00GPT-5.6 Luna (max)
Meta30.00Muse Glimmer (high)
Z AI20.00GLM-5.3-Flash
Google20.00Gemini 3.5 Flash-Lite
Sapiens AI10.00Agnes 3.0 Flash
MiniMax10.00MiniMax-M3
DeepSeek10.00DeepSeek V4 Pro 0813 (Reasoning, Max Effort)
NVIDIA10.00Nemotron 3 Ultra 550B A55B (Reasoning)
Thinking Machines10.00Inkling (xhigh)
Mistral10.00Mistral Medium 3.5

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
Agnes 3.0 Flash3#4/20 in 𝜏³-Banking: Time per Task, #7/20 in 𝜏³-Banking: Score
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
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
MiniMax-M357#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
Gemini 3.5 Flash-Lite44#1/20 in End-to-End Response Time, #1/20 in Output Speed, #1/20 in Time per Intelligence Index Task
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
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
Qwen3.8 27B (medium)3#7/20 in 𝜏³-Banking: Output Tokens per Task, #8/20 in 𝜏³-Banking: Score
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
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
Nemotron 3 Ultra 550B A55B (Reasoning)46#1/12 in Artificial Analysis Openness Index: Score, #1/12 in Artificial Analysis Openness Index: Components, #2/20 in 𝜏³-Banking: Time per Task
Inkling (xhigh)52#3/20 in Context Window, #3/20 in 𝜏³-Banking: Output Tokens per Task, #5/20 in AA-Briefcase Output Tokens per Task
Mistral Medium 3.541#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
Muse Spark 1.3 (xhigh)12#3/20 in 𝜏³-Banking: Time per Task, #5/20 in SciCode: Score, #7/20 in GDPval-AA v2 Leaderboard
Gemini 3.8 Flash (high)60#1/11 in Speed, #1/11 in Speed, #2/20 in Output Speed
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
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
Qwen3.8 Max3#1/20 in 𝜏³-Banking: Score, #10/20 in 𝜏³-Banking: Output Tokens per Task

Metric reference

This ranking carries the metrics answer, cacheHit, cacheWrite, input, reasoning from the 𝜏³-Banking: Cost per Task 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.

How this ranking is built

Rebuilt on from the public dataset 𝜏³-Banking: Cost per Task (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 #1–#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.

Limitations

Raw data

Machine-readable copy of this table, with the statistics below and the source provenance: /data/rankings/eval-tau3-3-banking-cost-per-task.json. Free to reuse with attribution to AI Battle and the source dataset.

FAQ β€” 𝜏³-Banking: Cost per Task

What is the best model for 𝜏³-Banking: Cost per Task in 2026?

Agnes 3.0 Flash by Sapiens AI currently leads the 𝜏³-Banking: Cost per Task ranking with a score of 0.00, the highest value in this dataset across eval tau3. AI Battle aggregates the dataset from its public source and re-checks it daily.

How often is the 𝜏³-Banking: Cost per Task ranking updated?

The 𝜏³-Banking: Cost 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 β€” each ranking page names the dataset it comes from.

Which models rank in the top 3 for 𝜏³-Banking: Cost per Task?

The top 3 are: 1. Agnes 3.0 Flash (0.00), 2. GLM-5.3-Flash (0.00), 3. GPT-5.6 Luna (max) (0.00).

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