long context benchmark
OneMillion Bench Leaderboard
OneMillion Bench evaluates AI agents on high-economic-value tasks requiring sustained, reliable execution across long-horizon real-world workflows.
Updated Sep 5, 2026
Models4
Model coverage4
MetricScore
EvidenceB
OneMillion Bench Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelBY | Score68.80% | Percentile100.00% | Participants4 | EvidenceC | Evaluated |
| Rank02 | ModelBY | Score66.60% | Percentile66.67% | Participants4 | EvidenceC | Evaluated |
| Rank03 | ModelTE | Score65.40% | Percentile33.33% | Participants4 | EvidenceC | Evaluated |
| Rank04 | ModelAC | Score52.50% | Percentile0.00% | Participants4 | EvidenceC | Evaluated |
OneMillion Bench Highlights
The leading models and scores on this benchmark.
OneMillion Bench Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for OneMillion Bench
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is OneMillion Bench?
What OneMillion Bench measures and how its scores work.
OneMillion Bench is a benchmark for evaluating AI agents on high-economic-value tasks across long-horizon real-world workflows.
It measures performance using Score, reported as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- OneMillion Bench
- Modality
- text
- Primary category
- long context
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about OneMillion Bench.
Which model scores highest on OneMillion Bench?
Seed 2.1 Pro is currently ranked first with 68.80%.
What are the top three models on OneMillion Bench?
The current leaders are Seed 2.1 Pro (68.80%), Seed 2.1 Turbo (66.60%), and Hy4 preview (65.40%).
Which OneMillion Bench model has the lowest official input price?
Qwen3.8 Max has the lowest matched official input price at $2.0 input / $6.0 output per 1M tokens.
Which models are fastest among OneMillion Bench results?
The fastest matched records are Qwen3.8 Max (60.87 tok/s via DeepInfra).
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.