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| Attribute |
OpenGVLab
|
|---|---|
| Company | OpenGVLab |
| Release Date | 2025-08-26 |
| Parameters (B) | 38.4 |
| Architecture | ViT-MLP-LLM Multimodal Transformer |
| Context Window | 32768 |
| Input Modalities | text, image |
| Open Source | Yes |
| License | apache-2.0 |
| Score | 0 |
| VRAM (GB) | 160 |
| Compute | 2x NVIDIA A100 80GB GPUs in bf16 (tensor parallel recommended); LMDeploy/vLLM deployment with tp=2 |
| Benchmark: AIME-2024 | 81.5 |
| Benchmark: AIME-2025 | 72.1 |
| Benchmark: BBH | 87.5 |
| Benchmark: C-Eval | 85 |
| Benchmark: GPQA | 68.2 |
| Benchmark: GSM8K | 91.5 |
| Benchmark: HellaSwag | 95.9 |
| Benchmark: HumanEval | 98.2 |
| Benchmark: IFEval | 74.3 |
| Benchmark: MATH | 94.3 |
| Benchmark: MATH-500 | 96.6 |
| Benchmark: MMLU | 83 |
| Benchmark: MMLU-Pro | 75.3 |
| Benchmark: MMMU | 73.9 |
| Pricing (Input) | — |
| Pricing (Output) | — |