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lab not stated released on Apr 15, 2024 Unknown

CodeQwen1.5-7B

CodeQwen1.5-7B (lab not stated) was released on Apr 15, 2024. In the Epoch AI capability ranking (ECI), it ranks #250 out of 267 models, with 94.99.

#250 of 267 in the ECI ranking
94.99 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 CodeQwen1.5-7B stands out and where it falls behind, by the numbers

CodeQwen1.5-7B has published results on 4 tests compiled by Epoch AI. The yardstick here is its generation: its position among the models released between Jul 20, 2023 and Jul 14, 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.

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)35.7%
#29 of 32 in its generation · record: 95.3% (DeepSeek-V3 (Mar 2025))
MMLU40.5%
#40 of 47 in its generation · record: 88.1% (GPT-4o (May 2024))
WinoGrande59.8%
#24 of 29 in its generation · record: 89.2% (Llama 3.1-405B)
GSM8K37.7%
#19 of 27 in its generation · record: 92.0% (GPT-4 (Mar 2023))
See all 4 tests, one by one
TestScoreIn its generationOverallTest record
MMLU 40.5% #40 / 47 #77 / 92 88.1% GPT-4o (May 2024)
ARC (AI2) 35.7% #29 / 32 #59 / 65 95.3% DeepSeek-V3 (Mar 2025)
WinoGrande 59.8% #24 / 29 #54 / 61 89.2% Llama 3.1-405B
GSM8K 37.7% #19 / 27 #33 / 54 92.0% GPT-4 (Mar 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.

Comparison

What to compare CodeQwen1.5-7B 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
Baichuan 2-7B Baichuan 96.45 n/a n/a Sep 20, 2023
DeepSeek Coder 33B DeepSeek 96.45 n/a n/a Nov 2, 2023
CodeQwen1.5-7B 94.99 n/a n/a Apr 15, 2024
Gemma 2B Google DeepMind 94.34 n/a n/a Feb 21, 2024
StarCoder 2 7B Hugging Face 93.70 n/a n/a Feb 20, 2024
Phi-1.5 Microsoft 91.68 n/a n/a Sep 11, 2023
DeepSeek Coder 6.7B DeepSeek 89.77 n/a n/a Nov 2, 2023
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Frequently asked questions

What people ask about CodeQwen1.5-7B

Where does CodeQwen1.5-7B rank among AI models?

In the ROO3 AI Benchmark, ordered by the Epoch AI ECI, CodeQwen1.5-7B ranks #250 out of 267 models, with an ECI of 94.99. 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.

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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