Llama 3-8B
Llama 3-8B (Meta AI) was released on Apr 18, 2024. In the Epoch AI capability ranking (ECI), it ranks #208 out of 267 models, with 116.49. Against models of the same generation, its best result is on ForecastBench: 58.60, #2 of 10.
Where Llama 3-8B stands out and where it falls behind, by the numbers
Llama 3-8B has published results on 11 tests compiled by Epoch AI. The yardstick here is its generation: its position among the models released between Jul 23, 2023 and Jul 17, 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 11 tests, one by one
| Test | Score | In its generation | Overall | Test record |
|---|---|---|---|---|
| GPQA Diamond | 26.1% | #17 / 20 | #167 / 173 | 96.4% Gemini 4 Argon |
| AIME 2024 and 2025 (OTIS) | 1.9% | #7 / 15 (tied with 2) | #156 / 168 | 100.0% GPT-5.5 |
| Dtbench | 43.9% | #15 / 16 | #145 / 148 | 98.9% Claude Opus 5.5 |
| MMLU | 68.8% | #21 / 46 (tied with 2) | #43 / 92 | 88.1% GPT-4o (May 2024) |
| MATH level 5 | 6.1% | #17 / 19 | #70 / 73 | 98.1% GPT-5 |
| ARC (AI2) | 82.8% | #9 / 31 | #13 / 65 | 95.3% DeepSeek-V3 (Mar 2025) |
| ForecastBench | 58.60 | #2 / 10 | #39 / 62 | 62.50 o3 |
| WinoGrande | 75.7% | #12 / 29 | #26 / 61 | 89.2% Llama 3.1-405B |
| OpenBookQA | 82.6% | #6 / 11 | #6 / 32 | 88.0% phi-3-mini 3.8B |
| TriviaQA | 67.7% | #8 / 12 | #26 / 32 | 87.6% Llama 2-70B |
| Adversarial Nli | 57.3% | #3 / 9 | #3 / 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 Llama 3-8B 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 |
|---|---|---|---|---|---|
| Claude 3 Haiku | Anthropic | 118.39 | 1,206 | n/a | Mar 7, 2024 |
| Ministral 3B | Mistral AI | 118.12 | n/a | n/a | Oct 16, 2024 |
| Yi-34B | 01.AI | 117.43 | n/a | n/a | Nov 2, 2023 |
| phi-3-mini 3.8B | Microsoft | 117.40 | n/a | n/a | Apr 23, 2024 |
| Gemini 1.0 Pro | Google DeepMind | 117.07 | n/a | n/a | Dec 13, 2023 |
| Llama 3-8B | Meta AI | 116.49 | n/a | n/a | Apr 18, 2024 |
| Qwen2.5-Coder-14B | 116.44 | n/a | n/a | Sep 18, 2024 |
Llama 3-8B or Gemini 1.0 Pro?
Gemini 1.0 Pro is the model from another lab closest to Llama 3-8B in capability. Across the 5 tests both took, this is the score:
| Test | Llama 3-8B | Gemini 1.0 Pro |
|---|---|---|
| MATH level 5 | 6.1% | 11.2% |
| AIME 2024 and 2025 (OTIS) | 1.9% | 1.1% |
| GPQA Diamond | 26.1% | 34.0% |
| Dtbench | 43.9% | 45.9% |
| MMLU | 68.8% | 70.0% |
Unweighted score: each test counts one point, whether math or coding. The dot marks who did better on each row.
Other models from Meta AI
The models from the same lab closest in time, newest first.
| Model | Release | ECI | ELO | LiveBench | Access |
|---|---|---|---|---|---|
| Llama 3.3 70B | Dec 6, 2024 | 127.34 | n/a | n/a | Open weights (restricted use) |
| Llama 3.2 90B | Sep 24, 2024 | 125.51 | n/a | n/a | Open weights (restricted use) |
| Llama 3.2 1B | Sep 24, 2024 | 102.04 | n/a | n/a | Open weights (restricted use) |
| Llama 3.1-405B | Jul 23, 2024 | 128.76 | n/a | n/a | Open weights (restricted use) |
| Llama 3.1-70B | Jul 23, 2024 | 125.94 | n/a | n/a | Open weights (restricted use) |
| Llama 3.1-8B | Jul 23, 2024 | 116.61 | n/a | n/a | Open weights (restricted use) |
| Llama 3-70B | Apr 18, 2024 | 122.94 | n/a | n/a | Open weights (restricted use) |
| Llama 3-8B | Apr 18, 2024 | 116.49 | n/a | n/a | Open weights (restricted use) |
| Llama 2-70B | Jul 18, 2023 | 113.84 | n/a | n/a | Open weights (restricted use) |
Have you used Llama 3-8B? Rate it
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What people ask about Llama 3-8B
Where does Llama 3-8B rank among AI models?
In the ROO3 AI Benchmark, ordered by the Epoch AI ECI, Llama 3-8B ranks #208 out of 267 models, with an ECI of 116.49. 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 Llama 3-8B better than Gemini 1.0 Pro?
Across the 5 tests both models took and Epoch AI compiled, Llama 3-8B comes out ahead on 1, behind on 4 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 Llama 3-8B 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 Llama 3-8B are: ForecastBench (#2 of 10); Adversarial Nli (#3 of 9); ARC (AI2) (#9 of 31). 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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