AI Battle > Rankings > Mean Turns per Task

Mean Turns per Task Ranking — eval briefcase (2026)

Qwen3.8-Flash-Next by Alibaba leads the Mean Turns per Task ranking with a score of 242. The ranking covers 20 evaluated eval briefcase from a public dataset that AI Battle re-checks daily.

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

Qwen3.8-Flash-Next242GLM-5.3-Flash147gpt-oss-120b (high)113GLM-5.3 (max)110DeepSeek V4.1 Flash (Reasoning, Max Effort)109Claude Fable 5.1 (Adaptive Reasoning, Max Ef105Claude Opus 5 (Adaptive Reasoning, Max Effor103Qwen3.8 2.4T A95B101MiniMax-M3101Gemini 3.8 Flash (high)99.6Muse Spark 1.3 (max)99.1Claude Opus 5 (Adaptive Reasoning, Xhigh Eff90.9Claude Fable 5.1 (Adaptive Reasoning, Xhigh 89.8K2 Horizon 375B A23B84.2Kimi K3 (max)82.6Qwen3.8 27B (xhigh)82.3Inkling (xhigh)81.5Claude Opus 5 (Adaptive Reasoning, High Effo76.3GPT-5.6 Luna (max)72.7Claude Fable 5 (Adaptive Reasoning, Max Effo67.1
Every entry in the dataset, scaled from the smallest to the largest published value.

All 20 entries in this dataset

#EntryCreatorValueΔ vs #1
1Qwen3.8-Flash-NextAlibaba2420.0%
2GLM-5.3-FlashZ AI147-39.5%
3gpt-oss-120b (high)OpenAI113-53.4%
4GLM-5.3 (max)Z AI110-54.6%
5DeepSeek V4.1 Flash (Reasoning, Max Effort)DeepSeek109-55.0%
6Claude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback)Anthropic105-56.6%
7Claude Opus 5 (Adaptive Reasoning, Max Effort)Anthropic103-57.5%
8Qwen3.8 2.4T A95BAlibaba101-58.4%
9MiniMax-M3MiniMax101-58.4%
10Gemini 3.8 Flash (high)Google99.6-58.8%
11Muse Spark 1.3 (max)Meta99.1-59.0%
12Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)Anthropic90.9-62.5%
13Claude Fable 5.1 (Adaptive Reasoning, Xhigh Effort, Default Fallback)Anthropic89.8-62.9%
14K2 Horizon 375B A23BMBZUAI Institute of Foundation Models84.2-65.2%
15Kimi K3 (max)Kimi82.6-65.9%
16Qwen3.8 27B (xhigh)Alibaba82.3-66.0%
17Inkling (xhigh)Thinking Machines81.5-66.3%
18Claude Opus 5 (Adaptive Reasoning, High Effort)Anthropic76.3-68.5%
19GPT-5.6 Luna (max)OpenAI72.7-69.9%
20Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)Anthropic67.1-72.3%

How the values are distributed

Across the 20 numeric entries in this window the median is 99.3 and the mean is 103, so the typical entry sits 143 below the leader. The window spans 67.1 to 242.

710110001
8 equal buckets between the smallest (67.1) and largest (242) value; numbers under bars are entry counts.

10 of 20 entries are at or above the median, and the top three hold 24% of the combined value — 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 55% of the entries.

CreatorEntriesHighest valueTop entry
Anthropic6105Claude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback)
Alibaba3242Qwen3.8-Flash-Next
Z AI2147GLM-5.3-Flash
OpenAI2113gpt-oss-120b (high)
DeepSeek1109DeepSeek V4.1 Flash (Reasoning, Max Effort)
MiniMax1101MiniMax-M3
Google199.6Gemini 3.8 Flash (high)
Meta199.1Muse Spark 1.3 (max)
MBZUAI Institute of Foundation Models184.2K2 Horizon 375B A23B
Kimi182.6Kimi K3 (max)
Thinking Machines181.5Inkling (xhigh)

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
Qwen3.8-Flash-Next5#1/20 in AA-Briefcase Tool Calls Breakdown, Avg per Task, #6/20 in AA-Briefcase Elo, #8/20 in AA-Briefcase Rubric Pass Rate by File Type (Normalized)
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-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
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 V4.1 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, 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 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
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
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 3.8 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
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)
K2 Horizon 375B A23B24#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
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
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
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
Claude Opus 5 (Adaptive Reasoning, High Effort)6#9/20 in AA-Briefcase Rubric Pass Rate by File Type (Normalized), #9/20 in AA-Briefcase Elo, #15/20 in Time 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
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

Metric reference

This ranking carries the metric aaBriefcaseMeanTurnsPerTask from the Mean Turns per Task dataset in the tab::eval-briefcase 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 Mean Turns per Task (family tab::eval-briefcase). 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-briefcase-mean-turns-per-task.json. Free to reuse with attribution to AI Battle and the source dataset.

FAQ — Mean Turns per Task

What is the best model for Mean Turns per Task in 2026?

Qwen3.8-Flash-Next by Alibaba currently leads the Mean Turns per Task ranking with a score of 242, the highest value in this dataset across eval briefcase. AI Battle aggregates the dataset from its public source and re-checks it daily.

How often is the Mean Turns per Task ranking updated?

The Mean Turns 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.

Which models rank in the top 3 for Mean Turns per Task?

The top 3 are: 1. Qwen3.8-Flash-Next (242), 2. GLM-5.3-Flash (147), 3. gpt-oss-120b (high) (113).

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