AI Battle > Rankings > GDPval-AA v2: Output Tokens per Task

GDPval-AA v2: Output Tokens per Task Ranking — eval gdpval (2026)

Muse Glimmer (high) by Meta leads the GDPval-AA v2: Output Tokens per Task ranking with a score of 6471. The ranking covers 20 evaluated eval gdpval from a public dataset that AI Battle re-checks daily.

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

Muse Glimmer (high)6471Mistral Medium 3.517551Gemini 3.5 Flash-Lite15237Nemotron 3 Ultra 550B A55B (Reasoning)23545Inkling (xhigh)19971gpt-oss-120b (high)5333GPT-5.6 Luna (max)18049Claude Fable 5.1 (Adaptive Reasoning, High E27973GPT-6 Astra (max)18050GPT-5.6 Sol (max)22677GPT-5.6 Terra (max)20050MiniMax-M331654Grok 4.6 (high)36002Kimi K3 (max)25870Grok 4.6 (xhigh)39452Muse Spark 1.3 (xhigh)45718K2 Horizon 375B A23B25039DeepSeek V4 Pro 0813 (Reasoning, Max Effort)26064Claude Opus 5 (Adaptive Reasoning, Xhigh Eff44454Claude Fable 5 (Adaptive Reasoning, Max Effo31331
Every entry in the dataset, scaled from the smallest to the largest published value.

All 20 entries in this dataset

#EntryCreatorValueΔ vs #1
1Muse Glimmer (high)Meta64710.0%
2Mistral Medium 3.5Mistral17551171.2%
3Gemini 3.5 Flash-LiteGoogle15237135.5%
4Nemotron 3 Ultra 550B A55B (Reasoning)NVIDIA23545263.8%
5Inkling (xhigh)Thinking Machines19971208.6%
6gpt-oss-120b (high)OpenAI5333-17.6%
7GPT-5.6 Luna (max)OpenAI18049178.9%
8Claude Fable 5.1 (Adaptive Reasoning, High Effort, Default Fallback)Anthropic27973332.3%
9GPT-6 Astra (max)OpenAI18050178.9%
10GPT-5.6 Sol (max)OpenAI22677250.4%
11GPT-5.6 Terra (max)OpenAI20050209.8%
12MiniMax-M3MiniMax31654389.2%
13Grok 4.6 (high)SpaceXAI36002456.3%
14Kimi K3 (max)Kimi25870299.8%
15Grok 4.6 (xhigh)SpaceXAI39452509.7%
16Muse Spark 1.3 (xhigh)Meta45718606.5%
17K2 Horizon 375B A23BMBZUAI Institute of Foundation Models25039286.9%
18DeepSeek V4 Pro 0813 (Reasoning, Max Effort)DeepSeek26064302.8%
19Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)Anthropic44454587.0%
20Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)Anthropic31331384.2%

How the values are distributed

Across the 20 numeric entries in this window the median is 24292 and the mean is 25025, so the typical entry sits 17821 above the leader. The window spans 5333 to 45718.

21533222
8 equal buckets between the smallest (5333) and largest (45718) value; numbers under bars are entry counts.

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.

Creators in this ranking

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

CreatorEntriesHighest valueTop entry
OpenAI522677GPT-5.6 Sol (max)
Anthropic344454Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)
Meta245718Muse Spark 1.3 (xhigh)
SpaceXAI239452Grok 4.6 (xhigh)
MiniMax131654MiniMax-M3
DeepSeek126064DeepSeek V4 Pro 0813 (Reasoning, Max Effort)
Kimi125870Kimi K3 (max)
MBZUAI Institute of Foundation Models125039K2 Horizon 375B A23B
NVIDIA123545Nemotron 3 Ultra 550B A55B (Reasoning)
Thinking Machines119971Inkling (xhigh)
Mistral117551Mistral Medium 3.5
Google115237Gemini 3.5 Flash-Lite

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
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
Mistral Medium 3.541#3/20 in Output Tokens per Intelligence Index Task, #3/20 in Output Tokens per Intelligence Index Task, #3/20 in AA-Briefcase Output Tokens per Task
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
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
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
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 5.1 (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-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 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, #8/20 in Humanity's Last Exam: Output Tokens per Task, #9/20 in Output Speed
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
Grok 4.6 (high)61#2/20 in 𝜏³-Banking: Score, #5/20 in AA-Briefcase Elo, #5/20 in AA-Omniscience Index
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
Grok 4.6 (xhigh)3#6/20 in GDPval-AA v2 Leaderboard, #17/20 in GDPval-AA v2: Average Turns per 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
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
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 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 (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 metrics answer, reasoning from the GDPval-AA v2: Output Tokens per Task dataset in the tab::eval-gdpval 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 GDPval-AA v2: Output Tokens per Task (family tab::eval-gdpval). 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-gdpval-gdpval-aa-v2-output-tokens-per-task.json. Free to reuse with attribution to AI Battle and the source dataset.

FAQ — GDPval-AA v2: Output Tokens per Task

What is the best model for GDPval-AA v2: Output Tokens per Task in 2026?

Muse Glimmer (high) by Meta currently leads the GDPval-AA v2: Output Tokens per Task ranking with a score of 6471, the highest value in this dataset across eval gdpval. AI Battle aggregates the dataset from its public source and re-checks it daily.

How often is the GDPval-AA v2: Output Tokens per Task ranking updated?

The GDPval-AA v2: 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.

Which models rank in the top 3 for GDPval-AA v2: Output Tokens per Task?

The top 3 are: 1. Muse Glimmer (high) (6471), 2. Mistral Medium 3.5 (17551), 3. Gemini 3.5 Flash-Lite (15237).

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