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Baichuan released on Sep 20, 2023 Open weights (restricted use)

Baichuan 2-7B

Baichuan 2-7B (Baichuan) was released on Sep 20, 2023. In the Epoch AI capability ranking (ECI), it ranks #247 out of 267 models, with 96.45.

#247 of 267 in the ECI ranking
96.45 ECI, the Epoch AI capability index
no match Arena ELO, human preference
not measured LiveBench, overall average from 0 to 100
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What the tests say

Where Baichuan 2-7B stands out and where it falls behind, by the numbers

Baichuan 2-7B has published results on 7 tests compiled by Epoch AI. The yardstick here is its generation: its position among the models released between Dec 24, 2022 and Dec 19, 2023 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.

It is not in the top third of its generation on any test with 6 or more models compared.

Where it falls behind

Tests where it sits in the bottom half of its own generation.

ARC (AI2)32.5%
#39 of 42 in its generation · record: 95.3% (DeepSeek-V3 (Mar 2025))
BoolQ63.2%
#32 of 35 in its generation · record: 90.9% (PaLM 2-L)
HellaSwag68.0%
#27 of 33 in its generation · record: 95.3% (GPT-4 (Mar 2023))
GSM8K24.6%
#25 of 34 in its generation · record: 92.0% (GPT-4 (Mar 2023))
BIG-Bench Hard41.6%
#18 of 29 in its generation · record: 89.2% (Gemini 1.5 Pro (Sept 2024))
See all 7 tests, one by one
TestScoreIn its generationOverallTest record
MMLU 54.2% #22 / 42 #66 / 92 88.1% GPT-4o (May 2024)
ARC (AI2) 32.5% #39 / 42 #62 / 65 95.3% DeepSeek-V3 (Mar 2025)
GSM8K 24.6% #25 / 34 #43 / 54 92.0% GPT-4 (Mar 2023)
HellaSwag 68.0% #27 / 33 #44 / 51 95.3% GPT-4 (Mar 2023)
BoolQ 63.2% #32 / 35 #39 / 42 90.9% PaLM 2-L
BIG-Bench Hard 41.6% #18 / 29 #28 / 41 89.2% Gemini 1.5 Pro (Sept 2024)
LAMBADA 73.3% #10 / 20 (tied with 2) #10 / 20 79.8% Falcon-180B

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.

Comparison

What to compare Baichuan 2-7B 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.

ModelLabECIELOLiveBenchRelease
LLaMA-7B Meta AI 96.82 n/a n/a Feb 24, 2023
DeepSeek Coder 33B DeepSeek 96.45 n/a n/a Nov 2, 2023
Baichuan 2-7B Baichuan 96.45 n/a n/a Sep 20, 2023
Falcon-7B Technology Innovation Institute 95.23 n/a n/a Apr 24, 2023
CodeQwen1.5-7B 94.99 n/a n/a Apr 15, 2024
vicuna-13b-v1.1 94.80 n/a n/a Apr 12, 2023
MPT-7B MosaicML 94.73 n/a n/a May 5, 2023
Head to head

Baichuan 2-7B or LLaMA-7B?

LLaMA-7B is the model from another lab closest to Baichuan 2-7B in capability. Across the 7 tests both took, this is the score:

Baichuan 2-7B ahead on 3 LLaMA-7B ahead on 3 tied on 1
Largest differences first
TestBaichuan 2-7BLLaMA-7B
GSM8K 24.6% 11.0%
MMLU 54.2% 35.6%
ARC (AI2) 32.5% 47.6%
BIG-Bench Hard 41.6% 33.5%
BoolQ 63.2% 76.5%
HellaSwag 68.0% 76.2%
LAMBADA 73.3% 73.3%

Unweighted score: each test counts one point, whether math or coding. The dot marks who did better on each row.

Family

Other models from Baichuan

The models from the same lab closest in time, newest first.

ModelReleaseECIELOLiveBenchAccess
Baichuan 2-7B Sep 20, 2023 96.45 n/a n/a Open weights (restricted use)
Baichuan2-13B Sep 6, 2023 103.29 n/a n/a Open weights (restricted use)
Baichuan1-7B Jun 1, 2023 90.61 n/a n/a Open weights (non-commercial)
Your rating

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Frequently asked questions

What people ask about Baichuan 2-7B

Where does Baichuan 2-7B rank among AI models?

In the ROO3 AI Benchmark, ordered by the Epoch AI ECI, Baichuan 2-7B ranks #247 out of 267 models, with an ECI of 96.45. 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 Baichuan 2-7B better than LLaMA-7B?

Across the 7 tests both models took and Epoch AI compiled, Baichuan 2-7B comes out ahead on 3, behind on 3 and tied on 1. 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.

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.

Sources

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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