InternVL2.5-26B
InternVL2.5-26B.
10
Benchmarks with a score
0
Ranked first, out of five or more models
0
In the top three
Shanghai AI Lab Dec 2024 InternVL2.5-26B
Open weights Mid-size
No Epoch Capabilities Index score yet
- OCRBench v2 42.6% #34 /65
- HumanEval-V 4.30% #13 /24
- MMMU 60% #55 /136
Where it ranks
Its best score on each benchmark, and where that ranks among every model with a score there. We rank each model once, at its best setting.
Knowledge and language
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MMBench-CN v1.1 | 84.7% | #18 of 178 | Official leaderboard |
Coding
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| HumanEval-V | 4.30% | #13 of 24 | Official leaderboard |
Vision, audio and robotics
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MMBench-EN v1.1 | 84.4% | #22 of 178 | Official leaderboard | |
| MMStar | 66.5% | #27 of 173 | Official leaderboard | |
| MMMU | 60% | #55 of 136 | Official leaderboard | |
| CharXiv | 35.9% | #32 of 77 | Official leaderboard | |
| OCRBench v2 | 42.6% | #34 of 65 | Official leaderboard | |
| MMMU-Pro | 37.1% | #38 of 57 | Official leaderboard | |
| MATH-Vision (MathVision) | 23.1% | #83 of 105 | Official leaderboard |
Other
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| OpenVLM Leaderboard | 71.0 | #30 of 173 | Official leaderboard |