Nemotron-4 15B
Nemotron-4 15B (Nvidia) was released on Feb 26, 2024. In the Epoch AI capability ranking (ECI), it ranks #228 out of 267 models, with 107.80. Against models of the same generation, its best result is on HellaSwag: 82.4%, #7 of 26, tied with 1 others.
Where Nemotron-4 15B stands out and where it falls behind, by the numbers
Nemotron-4 15B has published results on 7 tests compiled by Epoch AI. The yardstick here is its generation: its position among the models released between Jun 1, 2023 and May 26, 2024 that took the same test. Against the whole archive, which includes 2023 models, a recent release lands near the top of almost everything, and that says nothing.
Where it stands out
Tests where it sits in the top third of its own generation.
Where it falls behind
Tests where it sits in the bottom half of its own generation.
See all 7 tests, one by one
| Test | Score | In its generation | Overall | Test record |
|---|---|---|---|---|
| MMLU | 58.7% | #32 / 53 | #59 / 92 | 88.1% GPT-4o (May 2024) |
| ARC (AI2) | 55.5% | #22 / 40 | #35 / 65 | 95.3% DeepSeek-V3 (Mar 2025) |
| WinoGrande | 78.0% | #11 / 35 | #18 / 61 | 89.2% Llama 3.1-405B |
| GSM8K | 46.0% | #16 / 33 | #28 / 54 | 92.0% GPT-4 (Mar 2023) |
| HellaSwag | 82.4% | #7 / 26 (tied with 1) | #17 / 51 | 95.3% GPT-4 (Mar 2023) |
| PIQA | 82.4% | #7 / 23 | #16 / 43 | 88.7% GPT-4o mini |
| BIG-Bench Hard | 58.7% | #10 / 27 | #15 / 41 | 89.2% Gemini 1.5 Pro (Sept 2024) |
For each test, the model's best effort level counts, as in the ranking. Source of the scores: Epoch AI, under CC BY 4.0.
What to compare Nemotron-4 15B with
The models from other labs closest in capability and released in the same period, at most two per lab. Click any of them to see its page.
| Model | Lab | ECI | ELO | LiveBench | Release |
|---|---|---|---|---|---|
| Mistral 7B v0.3 | Mistral AI | 109.06 | n/a | n/a | May 27, 2024 |
| Phi-2 | Microsoft | 108.02 | n/a | n/a | Dec 12, 2023 |
| Qwen2.5-Coder-3B | 107.82 | n/a | n/a | Sep 18, 2024 | |
| Nemotron-4 15B | Nvidia | 107.80 | n/a | n/a | Feb 26, 2024 |
| Yi-9B | 107.69 | n/a | n/a | Mar 1, 2024 | |
| Qwen-7B | Alibaba | 106.91 | n/a | n/a | Sep 28, 2023 |
| Llama 2-13B | Meta AI | 106.25 | n/a | n/a | Jul 18, 2023 |
Nemotron-4 15B or Phi-2?
Phi-2 is the model from another lab closest to Nemotron-4 15B in capability. Across the 5 tests both took, this is the score:
| Test | Nemotron-4 15B | Phi-2 |
|---|---|---|
| HellaSwag | 82.4% | 53.6% |
| WinoGrande | 78.0% | 54.7% |
| ARC (AI2) | 55.5% | 75.9% |
| BIG-Bench Hard | 58.7% | 59.4% |
| MMLU | 58.7% | 58.4% |
Unweighted score: each test counts one point, whether math or coding. The dot marks who did better on each row.
Other models from Nvidia
The models from the same lab closest in time, newest first.
| Model | Release | ECI | ELO | LiveBench | Access |
|---|---|---|---|---|---|
| Nemotron 3 Ultra | Jun 4, 2026 | 145.77 | n/a | n/a | Open weights (unrestricted) |
| Nemotron-4 15B | Feb 26, 2024 | 107.80 | n/a | n/a | Unreleased |
Have you used Nemotron-4 15B? Rate it
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What people ask about Nemotron-4 15B
Where does Nemotron-4 15B rank among AI models?
In the ROO3 AI Benchmark, ordered by the Epoch AI ECI, Nemotron-4 15B ranks #228 out of 267 models, with an ECI of 107.80. The ECI is a composite index that combines several hard benchmarks into a single scale. The position changes when a new model comes out, and the page is refreshed six times a day.
Is Nemotron-4 15B better than Phi-2?
Across the 5 tests both models took and Epoch AI compiled, Nemotron-4 15B comes out ahead on 3, behind on 2 and tied on 0. It is a test-by-test count with no weighting: a win in math counts the same as a win in coding. To choose between the two, look at the tests that resemble your own use.
What is Nemotron-4 15B best at?
Against models of the same generation (released up to 9 months before and up to 3 months after it), the best relative results of Nemotron-4 15B are: HellaSwag (#7 of 26); PIQA (#7 of 23); WinoGrande (#11 of 35). The yardstick is its position among the models of that period that took the same test.
Where do the numbers on this page come from?
From the same three sources as the ranking, all openly licensed: Epoch AI (ECI and individual tests, CC BY 4.0), Arena (human-preference ELO, CC BY 4.0) and LiveBench (overall average, CC BY-SA 4.0). ROO3 does not measure any model. When the page shows a figure published by the maker itself, it appears in the written analysis, labeled as the maker's, and never enters the ranking.
Where each number comes from
Epoch AI, "AI Benchmarking Hub". Published at epoch.ai. Data under the CC BY 4.0 licence, reordered by roo3.co.
The Arena (LMArena) leaderboard, from the public lmarena-ai/leaderboard-dataset on Hugging Face, under the CC BY 4.0 licence. We are not affiliated with the Arena.
LiveBench, by the LiveBench team, published at livebench.ai under the CC BY-SA 4.0 license. The overall average is recomputed by roo3.co with the same formula as the website (average of the categories), and those numbers stay under CC BY-SA 4.0. We are not affiliated with LiveBench.
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