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Benchmark profile

Vals Time Horizon Index: Kerbal Space Program (Time Horizon Index: KSP)

A Vals AI agent benchmark that gives each system five days to build and run a space program in Kerbal Space Program.

Data verified

How BenchLM shows Time Horizon Index: KSP

BenchLM mirrors the public Vals AI Time Horizon Index: KSP leaderboard captured from https://www.vals.ai/benchmarks/time_horizon_index and updated by Vals on July 18, 2026. The snapshot preserves overall scores, uncertainty, latency, cost-per-test metadata, and task-level scores where Vals publishes them.

Time Horizon Index: KSP is display only on BenchLM. Vals proprietary or Vals-hosted aggregate views are useful context, but BenchLM does not use them as weighted ranking inputs or as a replacement for benchmark-native source records.

4 Vals rows2 task viewsprivate datasetTasks: Overall, Progress efficiencyDisplay only

KSP progress on Time Horizon Index: KSP — July 18, 2026

BenchLM mirrors the published ksp progress view for Time Horizon Index: KSP. Claude Opus 4.8 leads the public snapshot at 11.833% , followed by GPT-5.5 (8.333%) and Grok 4.5 (6.333%). BenchLM does not use these results to rank models overall.

4 modelsExternal benchmark mirrorsCurrentDisplay onlyUpdated July 18, 2026

KSP progress table (4 models)

Score
1
11.833%
2
GPT-5.5OpenAI
8.333%
3
6.333%
4
1.667%

The published Time Horizon Index: KSP snapshot places Claude Opus 4.8 first at 11.833%. The third row is 5.500 points behind. The broader top-10 range is 10.166 points, so the table still separates the published systems.

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

About Time Horizon Index: KSP

Year

2026

Tasks

30 progressively harder Kerbal Space Program missions

Format

Mission-ladder progress with partial credit

Difficulty

Long-horizon autonomous computer use and planning

The first Time Horizon Index uses a 30-rung mission ladder and awards partial progress within a rung. We mirror the four launch rows and progress-efficiency scores. Each result comes from one five-day run with a computer-use harness, so the small system-level table remains display only.

BenchLM freshness & provenance

Version

Time Horizon Index: KSP 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.

FAQ

What does Time Horizon Index: KSP measure?

A Vals AI agent benchmark that gives each system five days to build and run a space program in Kerbal Space Program.

Which model leads the published Time Horizon Index: KSP snapshot?

Claude Opus 4.8 currently leads the published Time Horizon Index: KSP snapshot with 11.833% ksp progress. BenchLM shows this benchmark for display only and does not use it in overall rankings.

How many models are evaluated on Time Horizon Index: KSP?

4 AI models are included in BenchLM's mirrored Time Horizon Index: KSP snapshot, based on the public leaderboard captured on July 18, 2026.

Last updated: July 18, 2026 · mirrored from the public benchmark leaderboard