long context benchmark
LongBench v2
LongBench v2 is a benchmark designed to assess the ability of LLMs to handle long-context problems requiring deep understanding and reasoning across real-world multitasks. It consists of 503 challenging multiple-choice questions with contexts ranging from 8k to 2M words across six major task categories: single-document QA, multi-document QA, long in-context learning, long-dialogue history understanding, code repository understanding, and long structured data understanding.
Updated Aug 11, 2026
Models17
Model coverage17
MetricScore
EvidenceC
LongBench v2 Ranking
Higher score ranks better on this benchmark.
| 01 | AC | 66.3% | 100.0% | 17 | C | |
| 02 | AC | 63.2% | 93.8% | 17 | C | |
| 03 | AC | 62.0% | 87.5% | 17 | C | |
| 04 | NV | 61.9% | 81.3% | 17 | C | |
| 05 | MI | 61.5% | 75.0% | 17 | C | |
| 06 | MA | 61.0% | 68.8% | 17 | C | |
| 07 | MI | 61.0% | 62.5% | 17 | C | |
| 08 | MI | 61.0% | 56.3% | 17 | C | |
| 09 | XI | 60.6% | 50.0% | 17 | C | |
| 10 | AC | 60.6% | 43.8% | 17 | C | |
| 11 | AC | 60.2% | 37.5% | 17 | C | |
| 12 | AC | 59.0% | 31.3% | 17 | C | |
| 13 | AC | 55.2% | 25.0% | 17 | C | |
| 14 | AC | 50.0% | 18.8% | 17 | C | |
| 15 | DE | 48.7% | 12.5% | 17 | C | |
| 16 | AC | 38.7% | 6.3% | 17 | C | |
| 17 | AC | 26.1% | 0.0% | 17 | C |
LongBench v2 Score Distribution
A closer view of the leading scores on this benchmark.
LongBench v2 Highlights
The leading models and scores on this benchmark.
What is LongBench v2?
What LongBench v2 measures and how its scores work.
LongBench v2 is a benchmark designed to assess the ability of LLMs to handle long-context problems requiring deep understanding and reasoning across real-world multitasks. It consists of 503 challenging multiple-choice questions with contexts ranging from 8k to 2M words across six major task categories: single-document QA, multi-document QA, long in-context learning, long-dialogue history understanding, code repository understanding, and long structured data understanding.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of C.
- Family
- LongBench v2
- Modality
- text
- Primary category
- long context
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- longbench-v2|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about LongBench v2.
Which model scores highest on LongBench v2?
Qwen3.8 Max is currently ranked first with 66.3%.
What does LongBench v2 measure?
LongBench v2 is a benchmark designed to assess the ability of LLMs to handle long-context problems requiring deep understanding and reasoning across real-world multitasks. It consists of 503 challenging multiple-choice questions with contexts ranging from 8k to 2M words across six major task categories: single-document QA, multi-document QA, long in-context learning, long-dialogue history understanding, code repository understanding, and long structured data understanding.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
17 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.