Yi-34B
Yi-34B (01.AI) was released on Nov 2, 2023. In the Epoch AI capability ranking (ECI), it ranks #203 out of 267 models, with 117.43. Against models of the same generation, its best result is on BIG-Bench Hard: 71.7%, #2 of 29.
Where Yi-34B stands out and where it falls behind, by the numbers
Yi-34B has published results on 5 tests compiled by Epoch AI. The yardstick here is its generation: its position among the models released between Feb 5, 2023 and Jan 31, 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 | 14.7% | #9 / 9 | #173 / 173 | 96.4% Gemini 4 Argon |
| MMLU | 76.3% | #3 / 42 | #26 / 92 | 88.1% GPT-4o (May 2024) |
| MATH level 5 | 5.1% | #7 / 8 | #71 / 73 | 98.1% GPT-5 |
| GSM8K | 76.0% | #3 / 34 | #11 / 54 | 92.0% GPT-4 (Mar 2023) |
| BIG-Bench Hard | 71.7% | #2 / 29 | #9 / 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 Yi-34B 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 |
Other models from 01.AI
The models from the same lab closest in time, newest first.
| Model | Release | ECI | ELO | LiveBench | Access |
|---|---|---|---|---|---|
| Yi 6B | Nov 22, 2023 | 104.86 | n/a | n/a | Open weights (restricted use) |
| Yi-34B | Nov 2, 2023 | 117.43 | n/a | n/a | Open weights (restricted use) |
Have you used Yi-34B? Rate it
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What people ask about Yi-34B
Where does Yi-34B rank among AI models?
In the ROO3 AI Benchmark, ordered by the Epoch AI ECI, Yi-34B ranks #203 out of 267 models, with an ECI of 117.43. 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 Yi-34B 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 Yi-34B are: BIG-Bench Hard (#2 of 29); MMLU (#3 of 42); GSM8K (#3 of 34). 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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