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Scale Labs SciPredict (SciPredict)

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

A Scale Labs public leaderboard mirrored as display-only reference data. It does not affect BenchLM rankings.

Scale score on SciPredict — November 12, 2026 snapshot

We mirror the published scale score view for SciPredict. gemini-3-pro-preview leads the public snapshot at 25.3%, followed by Claude Opus 4.5 (23.1%) and Claude Sonnet 4.5 (22.6%). We do not use these results to rank models overall.

1

gemini-3-pro-preview

Google

25.3%
2Closed

Claude Opus 4.5

Anthropic

23.1%
Overall 52.96Context 200K
3Closed

Claude Sonnet 4.5

Anthropic

22.6%
Overall 46.7Context 200K

15 modelsKnowledgeCurrentDisplay onlyUpdated November 12, 2026 snapshot

Scale score table (15 models)

Scale score results for SciPredict
RankModel / configurationScoreParameters (B)Open / closed
1gemini-3-pro-previewGoogle
25.3%
Not reportedUnknown
2Claude Opus 4.5Anthropic
23.1%
Not reportedClosed
3Claude Sonnet 4.5Anthropic
22.6%
Not reportedClosed
4Gemini 3 FlashGoogle
22.2%
Not reportedClosed
5claude-opus-4-1-20250805Anthropic
22.2%
Not reportedUnknown
6GPT-5.2OpenAI
20.6%
Not reportedClosed
7o3-miniOpenAI
19.8%
Not reportedClosed
8DeepSeek V3DeepSeek
19.2%
Not reportedOpen
9Llama 3.3 70BMeta
18.2%
Not reportedOpen
10o3OpenAI
17.9%
Not reportedClosed
11Qwen3 32BAlibaba
17.0%
Not reportedOpen
12Gemini 2.5 ProGoogle
17.0%
Not reportedClosed
13Qwen3-235BAlibaba
16.6%
Not reportedUnknown
14o4-miniOpenAI
16.2%
Not reportedClosed
15Llama 3.1 8BMeta
14.7%
Not reportedOpen

How to read this leaderboard

Compare the published configurations as complete evaluation systems. The source can combine a base model, agent scaffold, tools, budget, and inference setting in each result.

Operator receipt: 15 sourced rows are currently displayable on this page; the leading published row is gemini-3-pro-preview at 25.3%.

Honest limit: This Scale table is display-only context, not benchmark provenance or a weighted model-only comparison.

SciPredict on Scale Labs

How BenchLM shows SciPredict

BenchLM mirrors 15 published rows from Scale Labs’ public SciPredict leaderboard, captured on November 12, 2026 snapshot.

The table is display only. It is useful context for a published agent or model configuration, but it does not enter BenchLM’s overall or category rankings. Scale has not added a row to this board since January 2026.

Snapshot

15 published rowsScale Labs sourceNo new rowsDisplay only
SciPredict on Scale Labs

The published SciPredict snapshot places gemini-3-pro-preview first at 25.3%. The third row is 2.7 points behind. The broader top-10 range is 7.3 points, so many of the published results sit in a relatively narrow band.

15 models have been evaluated on SciPredict. The benchmark falls in the Knowledge category. We keep external benchmark mirrors separate from the weighted global scoring system, so these results remain source-specific evidence. SciPredict is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About SciPredict

Year

2026

Tasks

15 published rows

Format

Published Scale leaderboard score

Difficulty

External agent and model evaluation

BenchLM mirrors 15 published rows from the SciPredict public table captured on November 12, 2026 snapshot.

Scale Labs leaderboardPublic benchmark source

Freshness and provenance

Version

SciPredict 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 SciPredict measure?

A Scale Labs public leaderboard mirrored as display-only reference data. It does not affect BenchLM rankings.

Which model leads the published SciPredict snapshot?

gemini-3-pro-preview currently leads the published SciPredict snapshot with 25.3% scale score. BenchLM shows this benchmark for display only and does not use it in overall rankings.

How many models are evaluated on SciPredict?

The November 12, 2026 snapshot snapshot contains 15 AI models.

Last updated: November 12, 2026 snapshot · mirrored from the public benchmark leaderboard

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