Shanghai AI Lab, open weights

# InternVL2\_5-78B

> InternVL2_5-78B by Shanghai AI Lab, released December 2024. 1 published benchmark result. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/internvl2-5-78b
- Last updated: 2026-10-10
- Title: InternVL2_5-78B Benchmarks, Price & Rank (October 2026)

InternVL2\_5-78B by Shanghai AI Lab has 1 published benchmark result on Noometry, not yet enough to be ranked.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** Unranked
- **Index score:** Not ranked
- **Evidence:** Sparse 1 results
- **Provider:** [![](/logos/shanghai-ai-lab.svg) Shanghai AI Lab](https://noometry.com/providers/shanghai-ai-lab)
- **Released:** December 6, 2024
- **Weights:** Open weights
- **Reasoning:** Unknown
- **Context window:** —
- **Max output:** —
- **Input price:** Not listed
- **Output price:** Not listed
- **Blended price:** Not listed
- **Output speed:** Not measured
- **Value:** Not ranked
- **Knowledge cutoff:** Unknown

## Category scores

Each category score combines every public result we have in that category.

InternVL2\_5-78B category scores

1.  Multimodal 38.5
2.  38.438.6

InternVL2\_5-78B category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Multimodal](https://noometry.com/best/multimodal) | 38.5 | — | 1 |

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## Benchmark results

Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.

### Multimodal

InternVL2\_5-78B Multimodal benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Video-MME](https://noometry.com/benchmarks/video-mme) | 72.1% | #5 of 15, top 34% | 5-78B | [Epoch AI](https://epoch.ai/benchmarks) |  |

## Compare InternVL2\_5-78B

-   [InternVL2\_5-78B vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-internvl2-5-78b)
-   [InternVL2\_5-78B vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-internvl2-5-78b)
-   [InternVL2\_5-78B vs Claude Opus 5.5](https://noometry.com/compare/claude-opus-5-5-vs-internvl2-5-78b)
-   [InternVL2\_5-78B vs Claude Opus 5](https://noometry.com/compare/claude-opus-5-vs-internvl2-5-78b)
-   [InternVL2\_5-78B vs Claude Fable 5](https://noometry.com/compare/claude-fable-5-vs-internvl2-5-78b)
-   [InternVL2\_5-78B vs GPT-6.1 Sol](https://noometry.com/compare/gpt-6-1-sol-vs-internvl2-5-78b)
-   [InternVL2\_5-78B vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-internvl2-5-78b)
-   [InternVL2\_5-78B vs Kimi K3](https://noometry.com/compare/internvl2-5-78b-vs-kimi-k3)
-   [InternVL2\_5-78B vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-internvl2-5-78b)
-   [InternVL2\_5-78B vs Qwen3.8 Max](https://noometry.com/compare/internvl2-5-78b-vs-qwen3-8-max)
-   [InternVL2\_5-78B vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-internvl2-5-78b)
-   [InternVL2\_5-78B vs Muse Spark 1.3](https://noometry.com/compare/internvl2-5-78b-vs-muse-spark-1-3)
-   [InternVL2\_5-78B vs DeepSeek V4 Pro](https://noometry.com/compare/deepseek-v4-pro-vs-internvl2-5-78b)
-   [InternVL2\_5-78B vs MiMo-V2.6-Pro](https://noometry.com/compare/internvl2-5-78b-vs-mimo-v2-6-pro)

## Other Shanghai AI Lab models

-   [Eurus-2-7B-PRIME](https://noometry.com/models/eurus-2-7b-prime)
-   [InternVL2-40B](https://noometry.com/models/internvl2-40b)

## Frequently asked questions

### How good is InternVL2\_5-78B?

InternVL2\_5-78B by Shanghai AI Lab has 1 published benchmark result on Noometry, not yet enough to be ranked.

### Is InternVL2\_5-78B open source?

Yes. InternVL2\_5-78B's weights are downloadable; check the license for commercial terms.

### Cite this page

Noometry. (2026). InternVL2\_5-78B benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/internvl2-5-78b

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/internvl2-5-78b.md).