phi-3-medium 14B
phi-3-medium 14B (Microsoft) was released on Apr 23, 2024. In the Epoch AI capability ranking (ECI), it ranks #189 out of 267 models, with 121.25. Against models of the same generation, its best result is on BIG-Bench Hard: 81.4%, #1 of 18.
Where phi-3-medium 14B stands out and where it falls behind, by the numbers
phi-3-medium 14B has published results on 10 tests compiled by Epoch AI. The yardstick here is its generation: its position among the models released between Jul 28, 2023 and Jul 22, 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 10 tests, one by one
| Test | Score | In its generation | Overall | Test record |
|---|---|---|---|---|
| GPQA Diamond | 27.6% | #17 / 22 | #163 / 173 | 96.4% Gemini 4 Argon |
| MMLU | 78.0% | #8 / 47 | #23 / 92 | 88.1% GPT-4o (May 2024) |
| MATH level 5 | 17.6% | #12 / 21 | #61 / 73 | 98.1% GPT-5 |
| ARC (AI2) | 91.6% | #2 / 31 | #5 / 65 | 95.3% DeepSeek-V3 (Mar 2025) |
| WinoGrande | 81.5% | #6 / 29 (tied with 1) | #11 / 61 | 89.2% Llama 3.1-405B |
| HellaSwag | 82.4% | #5 / 18 (tied with 1) | #17 / 51 | 95.3% GPT-4 (Mar 2023) |
| BIG-Bench Hard | 81.4% | #1 / 18 | #4 / 41 | 89.2% Gemini 1.5 Pro (Sept 2024) |
| OpenBookQA | 87.4% | #3 / 11 | #3 / 32 | 88.0% phi-3-mini 3.8B |
| TriviaQA | 73.9% | #6 / 12 | #20 / 32 | 87.6% Llama 2-70B |
| Adversarial Nli | 55.8% | #4 / 9 | #4 / 9 | 58.1% GPT-3.5 Turbo (Nov 2023) |
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 phi-3-medium 14B 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 |
|---|---|---|---|---|---|
| Gemma 2 27B | Google DeepMind | 122.10 | n/a | n/a | Jun 24, 2024 |
| Mixtral 8x22B | Mistral AI | 122.05 | n/a | n/a | Apr 17, 2024 |
| Mistral Large | Mistral AI | 122.03 | n/a | n/a | Feb 26, 2024 |
| phi-3-medium 14B | Microsoft | 121.25 | n/a | n/a | Apr 23, 2024 |
| Claude 3 Sonnet | Anthropic | 120.72 | 1,226 | n/a | Feb 29, 2024 |
| Claude Instant | Anthropic | 120.31 | n/a | n/a | Aug 9, 2023 |
| Gemma 2 9B | Google DeepMind | 119.85 | n/a | n/a | Jun 24, 2024 |
Other models from Microsoft
The models from the same lab closest in time, newest first.
| Model | Release | ECI | ELO | LiveBench | Access |
|---|---|---|---|---|---|
| phi-3-small 7.4B | Apr 23, 2024 | 121.85 | n/a | n/a | Open weights (unrestricted) |
| phi-3-medium 14B | Apr 23, 2024 | 121.25 | n/a | n/a | Open weights (unrestricted) |
| phi-3-mini 3.8B | Apr 23, 2024 | 117.40 | n/a | n/a | Open weights (unrestricted) |
| Phi-2 | Dec 12, 2023 | 108.02 | n/a | n/a | Open weights (unrestricted) |
| Phi-1.5 | Sep 11, 2023 | 91.68 | n/a | n/a | Open weights (unrestricted) |
Have you used phi-3-medium 14B? Rate it
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What people ask about phi-3-medium 14B
Where does phi-3-medium 14B rank among AI models?
In the ROO3 AI Benchmark, ordered by the Epoch AI ECI, phi-3-medium 14B ranks #189 out of 267 models, with an ECI of 121.25. 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.
What is phi-3-medium 14B 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 phi-3-medium 14B are: BIG-Bench Hard (#1 of 18); ARC (AI2) (#2 of 31); MMLU (#8 of 47). 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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