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BabyVision with Python (BabyVision w/ Python)

We show this table for reference; we do not rank on it.

Data verified

A Python-assisted BabyVision evaluation for fine-grained visual perception and grounded reasoning.

Benchmark score on BabyVision w/ Python — November 13, 2026

We compile the BabyVision w/ Python rows from provider self-reports. Kimi K3.1 Pro leads the table at 95.4%, followed by Inkling 2 Small (93.7%) and DeepSeek V4.1 Flash 1017 (92.5%). We do not use these results to rank models overall.

7 modelsMultimodal & GroundedCurrentDisplay onlyUpdated November 13, 2026

Benchmark score table (7 models)

All 7 results on this page were reported by the labs that built the models.

Benchmark score results for BabyVision w/ Python
RankModel / configurationScoreParameters (B)Open / closed
1Kimi K3.1 ProMoonshot AIReported by Moonshot AI
95.4%
Not reportedOpen
2Inkling 2 SmallThinking Machines LabReported by Thinking Machines Lab
93.7%
Not reportedClosed
3DeepSeek V4.1 Flash 1017DeepSeekReported by DeepSeek
92.5%
Not reportedOpen
4Qwen3.8 MaxAlibabaReported by Alibaba
91.3%
Not reportedOpen
5MiniMax M3.1 FlashMiniMaxReported by MiniMax
91.0%
Not reportedClosed
6Kimi K3Moonshot AIReported by Moonshot AI
85.7%
Not reportedOpen
7Qwen3.8-27BAlibabaReported by Alibaba
85.6%
Not reportedOpen
  • Lab-reported
  • Benchmark-run
  • Independent
What the labels mean

Among the reported BabyVision w/ Python rows, Kimi K3.1 Pro is first at 95.4%. The third row is 2.9 points behind. The broader top-10 range is 9.8 points, so many of the published results sit in a relatively narrow band.

7 models have been evaluated on BabyVision w/ Python. The benchmark falls in the Multimodal & Grounded category. BabyVision w/ Python is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About BabyVision w/ Python

Year

2026

Tasks

Visual perception tasks with Python

Format

Tool-augmented multimodal score

Difficulty

Fine-grained visual perception

BenchLM keeps the Python-assisted launch value separate from the generic BabyVision key.

Freshness and provenance

Version

BabyVision w/ Python 2026

Refresh cadence

Quarterly

Staleness state

Current

Question availability

Public benchmark set

CurrentDisplay only

BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.

Questions

What does BabyVision w/ Python measure?

A Python-assisted BabyVision evaluation for fine-grained visual perception and grounded reasoning.

Which model scores highest on BabyVision w/ Python?

Kimi K3.1 Pro by Moonshot AI currently leads with a score of 95.4% on BabyVision w/ Python.

How many models are evaluated on BabyVision w/ Python?

7 AI models have published results on BabyVision w/ Python in the BenchLM catalog.

Last updated: November 13, 2026 · BenchLM version BabyVision w/ Python 2026

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