- MMLU-Pro acc 80.7
- AIME 2025 acc 92.1
- IF-Bench prompt loose acc 68.7
- MultiChallenge acc 75.5
- τ2-bench Telecom only (as benchmarked by Artificial Analysis) 80
- Mean of τ2-bench Retail-Verified 78.3 / Airline-Verified 68.8 73.5
- BFCL v4 Overall FC 58.3
- MMMU Pro accuracy 61.4
- OCRBench-v2 avg accuracy 58.2
- RealKIE-FCC Verified ALNS 59.8
- RefCOCOg acc@0.5 86.3
- VideoMME accuracy 77.9
- Maverix accuracy 66.6
- QVHighlights R1@0.5 76.7
- ScreenSpot point accuracy 85.4
- MLS WER (English, Spanish, French, German, Italian) 4.7
- Common Voice (v15) WER, five languages 5.7
- CoVoST 2 BLEU (Spanish, French, German, Italian to English) 40.7
- MMAU average accuracy (Speech 81.8, Sound 77.9, Music 66.4) 75.3
Nova 2 Omni Preview
Nova 2 Omni Preview ranks first on 2 of the 18 benchmarks with five or more models scored.
Nova 2 Omni Preview
Closed weights Mid-size
- MMMU-Pro 61.4% #66 /90
- IFBench 68.7% #48 /80
- BFCL V4 58.3% #21 /30
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 | |
|---|---|---|---|---|
| MultiChallenge | 75.5% | #3 of 42 | Lab model card | |
| MMLU-Pro | 80.7% | #73 of 167 | Lab model card | |
| IFBench | 68.7% | #48 of 80 | Lab model card |
Math and science
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| AIME 2025 | 92.1% | #41 of 143 | Lab model card |
Agents and tools
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| tau2-bench | 80% | #37 of 79 | Lab model card | |
| tau2-bench Verified | 75.7% | #7 of 11 | Official leaderboard | |
| BFCL V4 | 58.3% | #21 of 30 | Lab model card | |
| ScreenSpot | 85.4% | #9 of 11 | Lab model card |
Vision, audio and robotics
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| CoVoST2 | 40.7 | #1 of 14 | Lab model card | |
| MMAU v05.15.25 | 77.8% | #1 of 6 | Official leaderboard | |
| Common Voice | 5.70% | #2 of 5 | Lab model card | |
| MMAU | 75.3% | #9 of 15 | Lab model card | |
| QVHighlights | 76.7% | #3 of 5 | Lab model card | |
| Video-MME | 77.9% | #36 of 51 | Lab model card | |
| OCRBench v2 | 58.2% | #16 of 22 | Lab model card | |
| MMMU-Pro | 61.4% | #66 of 90 | Lab model card | |
| RefCOCO / RefCOCO+ / RefCOCOg | 86.3% | #23 of 29 | Lab model card | |
| RealKIE-FCC Verified | 59.8% | #3 of 3 | Lab model card | |
| ImgEdit-Bench | 4.12 | #1 of 1 | Lab model card | |
| MAVERIX | 66.6% | #1 of 1 | Lab model card | |
| Multilingual LibriSpeech | 4.70 | #1 of 1 | Lab model card |
Safety and security
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Jigsaw Toxic Comment Classification | 57.8% | #1 of 3 | Lab model card | |
| WildGuardTest | 84.1% | #5 of 5 | Lab model card | |
| Aegis 2.0 | 80.7% | #3 of 3 | Lab model card |
Its lab's numbers put it at 141.4, number 166 of 404
The Self-Reported Index fits one score to the 12 capability results Amazon reported for this model, on the scale of the Epoch Capabilities Index. Labs choose which benchmarks to show and how to run them, so read it as the lab's claim, not an independent measurement. The 90% interval runs from 138.0 to 144.9. How we compute it.
- AIME 2025 92.1
- RefCOCO / RefCOCO+ / RefCOCOg 86.3
- ScreenSpot 85.4
- MMLU-Pro 80.7
- tau2-bench 80
- Video-MME 77.9
- MultiChallenge 75.5
- MMAU 75.3
- IFBench 68.7
- MMMU-Pro 61.4
- BFCL V4 58.3
- OCRBench v2 58.2
Its lab's number next to a leaderboard
Where the benchmark's own leaderboard, or Epoch AI's run, also has this model. Gaps mostly come from different harnesses, effort levels and task subsets. Every pair.
| Benchmark | Lab says | Board says | Gap |
|---|---|---|---|
| tau2-bench Verified | 73.5% Mean of τ2-bench Retail-Verified 78.3 / Airline-Verified 68.8 | 75.7% Leaderboard, tau2-bench-verified; gpt-5.1 user simulator | −2.2 pts |
Its launch post
The benchmarks the lab chose to headline, with the scores it gave.
Its system card
Every result in the longer documents the lab published with it. 4 of them aren't in the launch post.
Capabilities
- MMLU-Pro 80.7
- AIME 2025 92.1
- IFBench 68.7
- MultiChallenge 75.5
- tau2-bench
- tau2-bench Verified
- BFCL V4 58.3
- MMMU-Pro 61.4
- OCRBench v2 58.2
- RealKIE-FCC Verified 59.8
- RefCOCO / RefCOCO+ / RefCOCOg 86.3
- Video-MME 77.9
- MAVERIX 66.6
- QVHighlights 76.7
- ScreenSpot 85.4
- Multilingual LibriSpeech 4.7
- Common Voice 5.7
- CoVoST2 40.7
- MMAU 75.3
- ImgEdit-Bench 4.12
Safety
- Aegis 2.0 80.7
- WildGuardTest 84.1
- Jigsaw Toxic Comment Classification 57.8