long context benchmark
OneMillion Bench Leaderboard
OneMillion Bench evaluates AI agents on high-economic-value tasks that require sustained, reliable execution across long-horizon real-world workflows.
Updated Aug 17, 2026
Models3
Model coverage3
MetricScore
EvidenceB
OneMillion Bench Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelBY | Score68.8% | Percentile100.0% | Participants3 | EvidenceC | Evaluated |
| Rank02 | ModelBY | Score66.6% | Percentile50.0% | Participants3 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score52.5% | Percentile0.0% | Participants3 | 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.
Ranking basisThis onemillion bench AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01BYSeed 2.1 ProByteDance
- Score
- 68.8%
Strengths
- Ranks #1 of 3 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures OneMillion Bench, not total model capability
- 02BYSeed 2.1 TurboByteDance
- Score
- 66.6%
Strengths
- Ranks #2 of 3 compared models
- 50th percentile on this benchmark
- C evidence result
Considerations
- This result measures OneMillion Bench, not total model capability
- 03ACQwen3.8 MaxAlibaba Cloud / Qwen Team
- Score
- 52.5%
- Price
- $2.0 input / $6.0 output per 1M tokens
Strengths
- Ranks #3 of 3 compared models
- 0th percentile on this benchmark
- C evidence result
Considerations
- This result measures OneMillion Bench, not total model capability
Selection summary
Best AI Models for OneMillion Bench
Seed 2.1 Pro currently leads OneMillion Bench with 68.8%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is OneMillion Bench?
What OneMillion Bench measures and how its scores work.
OneMillion Bench evaluates AI agents on high-economic-value tasks that require sustained, reliable execution across long-horizon real-world workflows.
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
- Yes
- Evaluation key
- onemillion-bench|llm-stats-current
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 68.8%.
What does OneMillion Bench measure?
OneMillion Bench evaluates AI agents on high-economic-value tasks that require sustained, reliable execution across long-horizon real-world workflows.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
3 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.