Scale Labs TutorBench (TutorBench)

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 TutorBench — September 29, 2026 snapshot

We mirror the published scale score view for TutorBench. Muse Spark leads the public snapshot at 68.5%, followed by GPT-5.4 Pro (56.6%) and gemini-2.5-pro-preview-06-05 (55.6%). We do not use these results to rank models overall.

1Proprietary

Muse Spark

Scale score table (27 models)

Score

Muse SparkMeta · Closed

68.5%

GPT-5.4 ProOpenAI · Closed

56.6%

gemini-2.5-pro-preview-06-05Google

55.6%

gpt-5-2025-08-07OpenAI

55.3%

o3-proOpenAI · Closed

54.6%

Kimi K2.5Moonshot AI · Open weight

54.6%

gpt-5.1-thinkingOpenAI

54.1%

claude-opus-4-6-thinking-maxAnthropic

53.7%

gemini-3-pro-previewGoogle

53.7%

claude-opus-4-6 (Non-Thinking)Anthropic

53.5%

GPT-5.2OpenAI · Closed

53.5%

gemini-3.1-pro-previewGoogle

53.0%

o3-2025-04-16-mediumOpenAI

52.8%

o3-2025-04-16-highOpenAI

52.1%

gemini-3.1-flash-lite-previewGoogle

51.5%

Claude Opus 4.5 ThinkingAnthropic · Closed

51.2%

claude-opus-4-1-20250805-thinkingAnthropic

50.8%

Claude Opus 4.5Anthropic · Closed

49.8%

claude-4-opus-20250514-thinkingAnthropic

49.7%

gpt-5.1-instantOpenAI

49.1%

Claude Sonnet 4.5 ThinkingAnthropic · Closed

49%

claude-opus-4-1-20250805_anthropicAnthropic

47.4%

claude-37-sonnet-thinkingAnthropic

46.5%

Claude Sonnet 4.5Anthropic · Closed

45.7%

claude-opus-4-20250514Anthropic

45.5%

llama4-maverickMeta

40.2%

GPT-4oOpenAI · Closed

36.1%

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: 27 sourced rows are currently displayable on this page; the leading published row is Muse Spark at 68.5%.

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

TutorBench on Scale Labs

How BenchLM shows TutorBench

BenchLM mirrors 27 published rows from Scale Labs’ public TutorBench leaderboard, captured on September 29, 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.

Snapshot

27 published rowsScale Labs sourceDisplay only

TutorBench on Scale Labs

The published TutorBench snapshot places Muse Spark first at 68.5%. The third row is 12.9 points behind. The broader top-10 range is 15.0 points, so the table still separates the published systems.

27 models have been evaluated on TutorBench. 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. TutorBench is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About TutorBench

Year

2026

Tasks

27 published rows

Format

Published Scale leaderboard score

Difficulty

External agent and model evaluation

BenchLM mirrors 27 published rows from the TutorBench public table captured on September 29, 2026 snapshot.

Scale Labs leaderboard Public benchmark source

Freshness and provenance

Version

TutorBench 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 TutorBench measure?

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

Which model leads the published TutorBench snapshot?

Muse Spark currently leads the published TutorBench snapshot with 68.5% scale score. BenchLM shows this benchmark for display only and does not use it in overall rankings.

How many models are evaluated on TutorBench?

The September 29, 2026 snapshot snapshot contains 27 AI models.

Last updated: September 29, 2026 snapshot · mirrored from the public benchmark leaderboard

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