AI Battle > Rankings > AA-Briefcase Output Tokens per Task
Muse Glimmer (high) by Meta leads the AA-Briefcase Output Tokens per Task ranking with a score of 8002. 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.
| # | Entry | Creator | Value | Δ vs #1 |
|---|---|---|---|---|
| 1 | Muse Glimmer (high) | Meta | 8002 | 0.0% |
| 2 | Gemini 3.5 Flash-Lite | 15488 | 93.6% | |
| 3 | Mistral Medium 3.5 | Mistral | 32097 | 301.1% |
| 4 | Nemotron 3 Ultra 550B A55B (Reasoning) | NVIDIA | 43461 | 443.1% |
| 5 | Inkling (xhigh) | Thinking Machines | 40704 | 408.7% |
| 6 | GPT-5.6 Sol (max) | OpenAI | 34731 | 334.0% |
| 7 | GPT-5.6 Terra (max) | OpenAI | 34753 | 334.3% |
| 8 | GPT-6 Astra (max) | OpenAI | 37019 | 362.6% |
| 9 | GPT-5.6 Luna (max) | OpenAI | 42508 | 431.2% |
| 10 | Grok 4.6 (high) | SpaceXAI | 61226 | 665.1% |
| 11 | MiniMax-M3 | MiniMax | 81849 | 922.9% |
| 12 | DeepSeek V4 Pro 0813 (Reasoning, Max Effort) | DeepSeek | 43237 | 440.3% |
| 13 | gpt-oss-120b (high) | OpenAI | 70217 | 777.5% |
| 14 | Claude Fable 5.1 (Adaptive Reasoning, High Effort, Default Fallback) | Anthropic | 71924 | 798.8% |
| 15 | Muse Spark 1.3 (max) | Meta | 86653 | 982.9% |
| 16 | K2 Horizon 375B A23B | MBZUAI Institute of Foundation Models | 51956 | 549.3% |
| 17 | Claude Opus 5 (Adaptive Reasoning, High Effort) | Anthropic | 76955 | 861.7% |
| 18 | Kimi K3 (max) | Kimi | 63408 | 692.4% |
| 19 | GLM-5.3-Flash | Z AI | 75940 | 849.0% |
| 20 | GLM-5.3 (max) | Z AI | 79938 | 899.0% |
Across the 20 numeric entries in this window the median is 47709 and the mean is 52603, so the typical entry sits 39707 above the leader. The window spans 8002 to 86653.
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.
13 creators appear in this window; the three most-represented hold 45% of the entries.
| Creator | Entries | Highest value | Top entry |
|---|---|---|---|
| OpenAI | 5 | 70217 | gpt-oss-120b (high) |
| Meta | 2 | 86653 | Muse Spark 1.3 (max) |
| Z AI | 2 | 79938 | GLM-5.3 (max) |
| Anthropic | 2 | 76955 | Claude Opus 5 (Adaptive Reasoning, High Effort) |
| MiniMax | 1 | 81849 | MiniMax-M3 |
| Kimi | 1 | 63408 | Kimi K3 (max) |
| SpaceXAI | 1 | 61226 | Grok 4.6 (high) |
| MBZUAI Institute of Foundation Models | 1 | 51956 | K2 Horizon 375B A23B |
| NVIDIA | 1 | 43461 | Nemotron 3 Ultra 550B A55B (Reasoning) |
| DeepSeek | 1 | 43237 | DeepSeek V4 Pro 0813 (Reasoning, Max Effort) |
| Thinking Machines | 1 | 40704 | Inkling (xhigh) |
| Mistral | 1 | 32097 | Mistral Medium 3.5 |
| 1 | 15488 | Gemini 3.5 Flash-Lite |
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 |
|---|---|---|
| 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 |
| Gemini 3.5 Flash-Lite | 44 | #1/20 in End-to-End Response Time, #1/20 in Output Speed, #1/20 in Time per Intelligence Index Task |
| Mistral Medium 3.5 | 41 | #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 |
| 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 GDPval-AA v2: Output Tokens 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 |
| GPT-5.6 Terra (max) | 52 | #8/20 in Humanity's Last Exam: Output Tokens per Task, #9/20 in Output Speed, #9/20 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 |
| 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 |
| Grok 4.6 (high) | 61 | #2/20 in 𝜏³-Banking: Score, #5/20 in AA-Briefcase Elo, #5/20 in AA-Omniscience Index |
| 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 |
| 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 |
| 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 |
| 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 |
| Muse Spark 1.3 (max) | 61 | #3/20 in AA-Briefcase Elo, #3/20 in Output Speed, #3/20 in GDPval-AA v2 Leaderboard |
| K2 Horizon 375B A23B | 24 | #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 |
| 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 |
| 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 |
| 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 |
| 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 |
This ranking carries the metrics
answerTokens, reasoningTokens from the
AA-Briefcase Output Tokens 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.
Rebuilt on from the
public dataset AA-Briefcase Output Tokens 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.
Machine-readable copy of this table, with the statistics below and the source provenance: /data/rankings/eval-briefcase-aa-briefcase-output-tokens-per-task.json. Free to reuse with attribution to AI Battle and the source dataset.
Muse Glimmer (high) by Meta currently leads the AA-Briefcase Output Tokens per Task ranking with a score of 8002, the highest value in this dataset across eval briefcase. AI Battle aggregates the dataset from its public source and re-checks it daily.
The AA-Briefcase 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.
The top 3 are: 1. Muse Glimmer (high) (8002), 2. Gemini 3.5 Flash-Lite (15488), 3. Mistral Medium 3.5 (32097).