Benchmark Almanac

RoboDojo-RC Tier 1

Dream-1 59.3% tops its leaderboard Gemini 4 Argon 48.2% leads the models we track Not in model cards

Six real RoboDojo tasks on I2RT YAM arms, 20 attempts each. Robot policies and tool-calling LLMs scored by rubric progress.

One team runs every attempt on its own rigs and publishes per-trial score, cost, time, logs and video. Best entry Dream-1 59.3% progress (trained on YAM). Robocurve says best LLM score rose 15% to 43% in two months.

Made by Robocurve PBC Released Sep 2026 Real robots Tasks kept private Last model added Sep 2026 Scores refreshed 2 Nov 2026
Level
Everyday Most adults, without training
Scored
Graded by people Human experts grade or compare the outputs.
Answers
Agent task Many steps in a terminal, browser, desktop, app, game or robot.
Paper Leaderboard robocurve.org
10
Entries on its own leaderboard, 9 models we track

Dream-1 tops the leaderboard with 59.3%

Best score per entry from the benchmark's own leaderboard, read on 2 Nov 2026. Where a model ran with several settings or harnesses, we keep its best. Every run is in the next chart. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders. The best model we track is Gemini 4 Argon, at 48.2%.

  1. 59.3 Dream-1
  2. 48.2 Gemini 4 Argon
  3. 42.5 GPT-6 Astra
  4. 41.7 GPT-6.1 Sol
  5. 38.2 Claude Opus 5.5
  6. 36.2 Gemini 3.8 Flash
  7. 22.0 GPT-6 Sol
  8. 18.9 MolmoAct 2
  9. 14.9 GPT-5.6 Sol
  10. 9.51 GR00T N1.7
  1. 1 Dream-1 59.3%
  2. 2 Gemini 4 Argon high 48.2%
  3. 3 GPT-6 Astra high 42.5%
  4. 4 GPT-6.1 Sol high 41.7%
  5. 5 Claude Opus 5.5 high 38.2%
  6. 6 Gemini 3.8 Flash high 36.2%
  7. 7 GPT-6 Sol high 22%
  8. 8 MolmoAct 2 18.9%
  9. 9 GPT-5.6 Sol high 14.9%
  10. 10 GR00T N1.7 9.51%
#EntryScoreSettingDateSource
1 Dream-1 59.3% Official leaderboard
2 Gemini 4 Argon 48.2% high Sep 2026 Official leaderboard
3 GPT-6 Astra 42.5% high Sep 2026 Official leaderboard
4 GPT-6.1 Sol 41.7% high Sep 2026 Official leaderboard
5 Claude Opus 5.5 38.2% high Sep 2026 Official leaderboard
6 Gemini 3.8 Flash 36.2% high Sep 2026 Official leaderboard
7 GPT-6 Sol 22% high Sep 2026 Official leaderboard
8 MolmoAct 2 18.9% May 2026 Official leaderboard
9 GPT-5.6 Sol 14.9% high Jul 2026 Official leaderboard
10 GR00T N1.7 9.51% Apr 2026 Official leaderboard

The best score, 48.2%, costs $2.34 a task

Runs on the cost frontier score higher than any run that's cheaper. The costs are the leaderboard's own estimates, so compare them only within this benchmark.

NVIDIA Ai2 Google DeepMind OpenAI Cost frontier One model at each effort level
0% 10% 20% 30% 40% 50% $0.01 $0.10 $1.00 $10 Cost per task, log scale Gemini 4 Argon, high GPT-6.1 Sol, high Gemini 3.8 Flash, high MolmoAct 2 GR00T N1.7 0% 10% 20% 30% 40% 50% $0.01 $0.10 $1.00 $10 Cost per task, log scale Gemini 4 Argon, high GPT-6.1 Sol, high
ModelEffortHarnessScoreCost per taskOutput tokens
Gemini 4 Argon high 48.2% $2.34
GPT-6 Astra high 42.5% $3.48
GPT-6.1 Sol high 41.7% $2.15
Claude Opus 5.5 high 38.2% $2.23
Gemini 3.8 Flash high 36.2% $0.66
GPT-6 Sol high 22% $0.95
MolmoAct 2 18.9% $0.07
GPT-5.6 Sol high 14.9% $1.77
GR00T N1.7 9.51% $0.05

4 models have held number one since its release in Sep 2026

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

Ai2 Google DeepMind OpenAI
Own leaderboard 4 leaders
Gemini 4 Argon 48.2%

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% 2026 Near the ceiling (85%) Gemini 4 Argon GPT-6 Astra Gemini 3.8 Flash MolmoAct 2 GR00T N1.7 0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) Gemini 4 Argon Gemini 3.8 Flash

No lab model card reports it yet

We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark.

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