IntelligentBench
BAGEL-7B-MoT 55.3 Dropped Image editing models complete 350 free-form edits that need reasoning and world knowledge. GPT-4o scores each output from 0 to 2 against a reference image, normalized to 100.
In-house benchmark proposed in the BAGEL paper. Criteria are request fulfillment, visual consistency and knowledge-grounded creativity.
- Level
- Everyday Most adults, without training
- Scored
- Graded by a model A language model scores each response, usually against a rubric.
- Answers
- Open-ended Free-form text, documents, designs or media judged as a whole.
BAGEL-7B-MoT leads with 55.3
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
- 1 BAGEL-7B-MoT 55.3
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | BAGEL-7B-MoT | 55.3 | May 2025 | Model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
No launch post has listed it since May 2025
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| 20 May 2025 | BAGEL-7B-MoT | 55.3 | IntelligentBench 44.0 (BAGEL+CoT 55.3) |
One system card reports it
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| 20 May 2025 | BAGEL-7B-MoT technical report | 55.3 | IntelligentBench Score, BAGEL w/ Self-CoT (Table 8). Without CoT 44.9 | Capabilities |
More in Audio and video
- Video-MMMU In use 300 expert-level lecture videos with questions testing perception, comprehension and adaptation of knowledge. Accuracy.
Qwen 3.8 Max 88.7% - LVBench In use Hours-long video understanding with multiple-choice questions on reasoning, grounding and summarization.
Gemini 4 Argon 91.7% - MMVU In use 3,000 expert-annotated questions on videos across 27 disciplines. Multiple-choice and open-ended accuracy. Qwen 3.8 Max 82.4%
- MLVU In use Multi-task long video understanding (minutes to hours) with multiple-choice and generation tasks. Accuracy. Qwen 3.8 Max 90.8%
- VoiceBench In use Spoken instructions with speaker, environment and content variation. Voice assistant responses scored by GPT judge or rules. Qwen3.5-Omni-Plus 93.1%
- TVBench In use Models answer multiple-choice questions on 10 temporal video tasks, such as action counting and ordering, that static frames cannot solve. Scored by accuracy. Qwen 3.8 Max 81.9%