Benchmark Almanac

DataCenterBench Tier 1

GPT-6 Astra 40% leads since October 2026
Not in model cards

Frontier models watch through cameras and drive two real robot arms on tabletop tasks rebuilt from data-center equipment manuals. LLM judges score each try from photos.

Published October 28th, 2026 with ten tasks, three tries each. Runs on Robocurve's inspect-robots harness (723 GitHub stars). 9 models in the Fireworks index.

Made by
Robocurve
Released
October 2026
Kind
Real robots
Level
Everyday
Scored
Graded by a model
Answers
Agent task
Tasks
Kept private
Strongest model tested
GPT-6 Astra #3 on the capability index
Last model added
October 2026
Scores refreshed
November 12th, 2026
9
Models scored on its own leaderboard

GPT-6 Astra leads with 40%

Best score per model from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Every run is in the next chart.

  1. 40.0 GPT-6 Astra
  2. 38.3 GPT-6.1 Sol
  3. 35.0 Gemini 4 Argon
  4. 21.7 Claude Opus 5.5
  5. 16.7 Muse Wonder
  6. 15.0 Kimi K3
  7. 15.0 GLM-5.3-Flash
  8. 13.3 Grok 4.7
  9. 11.7 DeepSeek V4.1 Flash
  1. 1 GPT-6 Astra max, ultrafast 40%
  2. 2 GPT-6.1 Sol max, ultrafast 38.3%
  3. 3 Gemini 4 Argon high 35%
  4. 4 Claude Opus 5.5 max 21.7%
  5. 5 Muse Wonder high 16.7%
  6. 6 Kimi K3 high 15%
  7. 7 GLM-5.3-Flash high 15%
  8. 8 Grok 4.7 xhigh 13.3%
  9. 9 DeepSeek V4.1 Flash high 11.7%

Source: Official DataCenterBench Tier 1 leaderboard

#ModelScoreSettingDateSource
1 GPT-6 Astra 40% max, ultrafast Sep 2026 Official leaderboard
2 GPT-6.1 Sol 38.3% max, ultrafast Sep 2026 Official leaderboard
3 Gemini 4 Argon 35% high Sep 2026 Official leaderboard
4 Claude Opus 5.5 21.7% max Sep 2026 Official leaderboard
5 Muse Wonder 16.7% high Oct 2026 Official leaderboard
6 Kimi K3 15% high Jul 2026 Official leaderboard
7 GLM-5.3-Flash 15% high Aug 2026 Official leaderboard
8 Grok 4.7 13.3% xhigh Sep 2026 Official leaderboard
9 DeepSeek V4.1 Flash 11.7% high Sep 2026 Official leaderboard

Score vs. minutes per task

Each point is one model and serving mode; the page plots minutes, redrawn here in seconds. The line joins the runs that no other run beats on both measures. We redrew this chart from the numbers on the official leaderboard.

0% 10% 20% 30% 40% 1001,00010K Mean time per task (s), log scale, lower is better Score (avg@3) Kimi K3 (high): Score (avg@3) 15%, mean time per task 1,230 s GLM-5.3-Flash (high): Score (avg@3) 15%, mean time per task 976 s DeepSeek V4.1 Flash (high): Score (avg@3) 11.7%, mean time per task 425 s Grok 4.7 (xhigh): Score (avg@3) 13.3%, mean time per task 305 s Claude Opus 5.5 (max): Score (avg@3) 21.7%, mean time per task 892 s Gemini 4 Argon (high): Score (avg@3) 35%, mean time per task 1,877 s Muse Wonder (high): Score (avg@3) 16.7%, mean time per task 509 s GPT-6 Astra (max, ultrafast): Score (avg@3) 40%, mean time per task 215 s GPT-6.1 Sol (max, ultrafast): Score (avg@3) 38.3%, mean time per task 183 s GPT-6 Astra (max, ultrafast)GPT-6.1 Sol (max, ultrafast) 0% 10% 20% 30% 40% 1001,00010K Mean time per task (s), log scale, lower is better Score (avg@3) Kimi K3 (high): Score (avg@3) 15%, mean time per task 1,230 s GLM-5.3-Flash (high): Score (avg@3) 15%, mean time per task 976 s DeepSeek V4.1 Flash (high): Score (avg@3) 11.7%, mean time per task 425 s Grok 4.7 (xhigh): Score (avg@3) 13.3%, mean time per task 305 s Claude Opus 5.5 (max): Score (avg@3) 21.7%, mean time per task 892 s Gemini 4 Argon (high): Score (avg@3) 35%, mean time per task 1,877 s Muse Wonder (high): Score (avg@3) 16.7%, mean time per task 509 s GPT-6 Astra (max, ultrafast): Score (avg@3) 40%, mean time per task 215 s GPT-6.1 Sol (max, ultrafast): Score (avg@3) 38.3%, mean time per task 183 s GPT-6 Astra (max, ultrafast)GPT-6.1 Sol (max, ultrafast)
ModelSettingScore (avg@3)Mean time per task
GPT-6 Astra max, ultrafast 40% 215.3 s
GPT-6.1 Sol max, ultrafast 38.3% 182.6 s
Gemini 4 Argon high 35% 1,877 s
Claude Opus 5.5 max 21.7% 891.7 s
Muse Wonder high 16.7% 508.6 s
GLM-5.3-Flash high 15% 975.5 s
Kimi K3 high 15% 1,230 s
Grok 4.7 xhigh 13.3% 305 s
DeepSeek V4.1 Flash high 11.7% 424.9 s

The best score, 40%, costs $19 a task

Runs on the cost frontier score higher than any run that's cheaper. Gemini 4 Argon at high comes within 5 points of the best for $1.83 a task, 10 times cheaper. The costs are the leaderboard's own estimates, so compare them only within this benchmark.

Z.ai OpenAI Google DeepMind Meta Cost frontier One model at each effort level
0% 10% 20% 30% 40% $0.01 $0.10 $1.00 $10 $100 Cost per task, log scale GPT-6 Astra, max, ultrafast GPT-6.1 Sol, max, ultrafast Gemini 4 Argon, high Muse Wonder, high GLM-5.3-Flash, high 0% 10% 20% 30% 40% $0.01 $0.10 $1.00 $10 $100 Cost per task, log scale GPT-6 Astra, max, ultrafast Gemini 4 Argon, high

Source: Official DataCenterBench Tier 1 leaderboard

ModelEffortHarnessScoreCost per taskOutput tokens
GPT-6 Astra max, ultrafast 40% $19 22,860
GPT-6.1 Sol max, ultrafast 38.3% $10 21,904
Gemini 4 Argon high 35% $1.83 102,960
Claude Opus 5.5 max 21.7% $18 230,136
Muse Wonder high 16.7% $1.52 29,011
Kimi K3 high 15% $0.60 34,970
GLM-5.3-Flash high 15% $0.01 49,118
Grok 4.7 xhigh 13.3% $0.60 16,737
DeepSeek V4.1 Flash high 11.7% $0.14 112,484

Number one over time

Lab claims count from the day the card came out, independent runs from the model’s release.

OpenAI
Own leaderboard 1 leader
GPT-6 Astra 40%

Source: Official DataCenterBench Tier 1 leaderboard

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

On the benchmark’s own leaderboard Best so far
0% 20% 40% 60% 80% 100% Near the ceiling (85%) GPT-6 Astra Kimi K3 0% 20% 40% 60% 80% 100% Near the ceiling (85%) GPT-6 Astra Kimi K3

Source: Official DataCenterBench Tier 1 leaderboard

No lab model card reports it yet

We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.

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