Gemini 1.0 Pro
Gemini 1.0 Pro (Google DeepMind) was released on Dec 13, 2023. In the Epoch AI capability ranking (ECI), it ranks #206 out of 267 models, with 117.07. Against models of the same generation, its best result is on MMLU: 70.0%, #11 of 48.
Where Gemini 1.0 Pro stands out and where it falls behind, by the numbers
Gemini 1.0 Pro has published results on 5 tests compiled by Epoch AI. The yardstick here is its generation: its position among the models released between Mar 18, 2023 and Mar 12, 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 5 tests, one by one
| Test | Score | In its generation | Overall | Test record |
|---|---|---|---|---|
| GPQA Diamond | 34.0% | #6 / 12 | #158 / 173 | 96.4% Gemini 4 Argon |
| AIME 2024 and 2025 (OTIS) | 1.1% | #8 / 10 | #162 / 168 | 100.0% GPT-5.5 |
| Dtbench | 45.9% | #9 / 12 | #143 / 148 | 98.9% Claude Opus 5.5 |
| MMLU | 70.0% | #11 / 48 | #40 / 92 | 88.1% GPT-4o (May 2024) |
| MATH level 5 | 11.2% | #7 / 11 | #66 / 73 | 98.1% GPT-5 |
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 Gemini 1.0 Pro 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 |
| 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 |
| Stable Beluga 2 | Stability AI | 117.16 | n/a | n/a | Jul 20, 2023 |
| Gemini 1.0 Pro | Google DeepMind | 117.07 | n/a | n/a | Dec 13, 2023 |
| Llama 3.1-8B | Meta AI | 116.61 | n/a | n/a | Jul 23, 2024 |
| Llama 3-8B | Meta AI | 116.49 | n/a | n/a | Apr 18, 2024 |
Gemini 1.0 Pro or Llama 3.1-8B?
Llama 3.1-8B is the model from another lab closest to Gemini 1.0 Pro in capability. Across the 5 tests both took, this is the score:
| Test | Gemini 1.0 Pro | Llama 3.1-8B |
|---|---|---|
| MATH level 5 | 11.2% | 22.9% |
| AIME 2024 and 2025 (OTIS) | 1.1% | 1.7% |
| GPQA Diamond | 34.0% | 27.0% |
| MMLU | 70.0% | 56.1% |
| Dtbench | 45.9% | 50.9% |
Unweighted score: each test counts one point, whether math or coding. The dot marks who did better on each row.
Other models from Google DeepMind
The models from the same lab closest in time, newest first.
| Model | Release | ECI | ELO | LiveBench | Access |
|---|---|---|---|---|---|
| Gemini 2.0 Flash Thinking Exp | Jan 21, 2025 | 135.39 | n/a | n/a | API access |
| Gemini 2.0 Flash Thinking (Jan 2025) | Jan 21, 2025 | 135.36 | n/a | n/a | API access |
| Gemini 1.5 Pro (Sept 2024) | Sep 24, 2024 | 131.73 | n/a | n/a | API access |
| Gemini 1.5 Flash (Sep 2024) | Sep 24, 2024 | 129.37 | n/a | n/a | API access |
| Gemma 2 27B | Jun 24, 2024 | 122.10 | n/a | n/a | Open weights (restricted use) |
| Gemma 2 9B | Jun 24, 2024 | 119.85 | n/a | n/a | Open weights (restricted use) |
| Gemma 7B | Feb 21, 2024 | 112.05 | n/a | n/a | Open weights (restricted use) |
| Gemma 2B | Feb 21, 2024 | 94.34 | n/a | n/a | Open weights (restricted use) |
| Gemini 1.0 Pro | Dec 13, 2023 | 117.07 | n/a | n/a | API access |
Have you used Gemini 1.0 Pro? Rate it
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What people ask about Gemini 1.0 Pro
Where does Gemini 1.0 Pro rank among AI models?
In the ROO3 AI Benchmark, ordered by the Epoch AI ECI, Gemini 1.0 Pro ranks #206 out of 267 models, with an ECI of 117.07. 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 Gemini 1.0 Pro better than Llama 3.1-8B?
Across the 5 tests both models took and Epoch AI compiled, Gemini 1.0 Pro comes out ahead on 2, behind on 3 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 Gemini 1.0 Pro 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 Gemini 1.0 Pro are: MMLU (#11 of 48). 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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