Benchmark Almanac

ViBench 2.0

GPT-6.1 Sol 64.7% leads since September 2026
Not in model cards

Agents build 17 real web apps from empty projects one feature at a time from short specs. A grading agent uses each app in a browser and follows test plans.

8 apps are public and 9 held out, with 241 feature stages and 544 test plans. The paper (ACM CAIS 2026) describes the first version.

Released
May 2026
Kind
Building whole projects
Level
Expert
Scored
Graded by a model
Answers
Agent task
Tasks
Public, plus a private test set
Strongest model tested
GPT-6 Astra #3 on the capability index
Last model added
September 2026
Scores refreshed
November 12th, 2026
9
Models scored on its own leaderboard

GPT-6.1 Sol leads with 64.7% among models released by September 2026

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.

The newest model with a score here came out in September 2026, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:

  1. 64.7 GPT-6.1 Sol
  2. 60.3 GPT-6 Astra
  3. 48.5 Claude Opus 5.5
  4. 19.1 Claude Sonnet 5.5
  5. 1.50 Grok 4.7
  6. 0.0 Kimi K3
  7. 0.0 GLM-5.3
  8. 0.0 Gemini 3.8 Flash
  9. 0.0 DeepSeek V4.1 Flash
  1. 1 GPT-6.1 Sol 64.7%
  2. 2 GPT-6 Astra 60.3%
  3. 3 Claude Opus 5.5 48.5%
  4. 4 Claude Sonnet 5.5 19.1%
  5. 5 Grok 4.7 1.50%
  6. 6 Kimi K3 0%
  7. 7 GLM-5.3 0%
  8. 8 Gemini 3.8 Flash 0%
  9. 9 DeepSeek V4.1 Flash 0%

Source: Official ViBench 2.0 leaderboard

#ModelScoreSettingDateSource
1 GPT-6.1 Sol 64.7% Sep 2026 Official leaderboard
2 GPT-6 Astra 60.3% Sep 2026 Official leaderboard
3 Claude Opus 5.5 48.5% Sep 2026 Official leaderboard
4 Claude Sonnet 5.5 19.1% Sep 2026 Official leaderboard
5 Grok 4.7 1.50% Sep 2026 Official leaderboard
6 Kimi K3 0% Jul 2026 Official leaderboard
7 GLM-5.3 0% Aug 2026 Official leaderboard
8 Gemini 3.8 Flash 0% Sep 2026 Official leaderboard
9 DeepSeek V4.1 Flash 0% Sep 2026 Official leaderboard

The best score, 64.7%, costs $12 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.

DeepSeek Anthropic OpenAI Cost frontier One model at each effort level
0% 20% 40% 60% 80% $1.00 $2.00 $5.00 $10 $20 $50 $100 Cost per task, log scale GPT-6.1 Sol Claude Sonnet 5.5 DeepSeek V4.1 Flash 0% 20% 40% 60% 80% $1.00 $10 $100 Cost per task, log scale GPT-6.1 Sol Claude Sonnet 5.5

Source: Official ViBench 2.0 leaderboard

ModelEffortHarnessScoreCost per taskOutput tokens
GPT-6.1 Sol 64.7% $12
GPT-6 Astra 60.3% $90
Claude Opus 5.5 48.5% $23
Claude Sonnet 5.5 19.1% $4.36
Grok 4.7 1.50% $64
Kimi K3 0% $33
GLM-5.3 0% $28
Gemini 3.8 Flash 0% $27
DeepSeek V4.1 Flash 0% $2.54

3 models have held number one on the official leaderboard since its release in May 2026

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

Moonshot AI OpenAI
Own leaderboard Not tested since Sep 2026
GPT-6.1 Sol 64.7%

Source: Official ViBench 2.0 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-6.1 Sol GPT-6 Astra Kimi K3 0% 20% 40% 60% 80% 100% Near the ceiling (85%) GPT-6.1 Sol Kimi K3

Source: Official ViBench 2.0 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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