chatglm2-6b
chatglm2-6b (lab not stated) was released on Jun 24, 2023. In the Epoch AI capability ranking (ECI), it ranks #245 out of 267 models, with 99.05. On Arena, which measures human preference in blind comparisons, it has 973 ELO points (#408).
Where chatglm2-6b stands out and where it falls behind, by the numbers
chatglm2-6b has published results on 8 tests compiled by Epoch AI. The yardstick here is its generation: its position among the models released between Sep 27, 2022 and Sep 22, 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.
See all 8 tests, one by one
| Test | Score | In its generation | Overall | Test record |
|---|---|---|---|---|
| MMLU | 47.9% | #15 / 28 (tied with 1) | #69 / 92 | 88.1% GPT-4o (May 2024) |
| ARC (AI2) | 61.0% | #12 / 31 | #29 / 65 | 95.3% DeepSeek-V3 (Mar 2025) |
| GSM8K | 32.4% | #14 / 23 | #40 / 54 | 92.0% GPT-4 (Mar 2023) |
| HellaSwag | 57.0% | #27 / 29 | #47 / 51 | 95.3% GPT-4 (Mar 2023) |
| PIQA | 69.6% | #25 / 26 | #42 / 43 | 88.7% GPT-4o mini |
| BoolQ | 79.0% | #15 / 30 | #24 / 42 | 90.9% PaLM 2-L |
| BIG-Bench Hard | 33.7% | #18 / 21 | #37 / 41 | 89.2% Gemini 1.5 Pro (Sept 2024) |
| LAMBADA | 54.3% | #17 / 17 | #20 / 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.
What to compare chatglm2-6b 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 |
|---|---|---|---|---|---|
| MPT-30B | MosaicML | 100.76 | n/a | n/a | Jun 22, 2023 |
| LLaMA-13B | Meta AI | 100.69 | 846 | n/a | Feb 24, 2023 |
| Llama 2-7B | Meta AI | 99.18 | n/a | n/a | Jul 18, 2023 |
| chatglm2-6b | 99.05 | 973 | n/a | Jun 24, 2023 | |
| 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 |
| Falcon-7B | Technology Innovation Institute | 95.23 | n/a | n/a | Apr 24, 2023 |
chatglm2-6b or Llama 2-7B?
Llama 2-7B is the model from another lab closest to chatglm2-6b in capability. Across the 8 tests both took, this is the score:
| Test | chatglm2-6b | Llama 2-7B |
|---|---|---|
| GSM8K | 32.4% | 16.7% |
| HellaSwag | 57.0% | 77.2% |
| LAMBADA | 54.3% | 73.3% |
| ARC (AI2) | 61.0% | 45.9% |
| BIG-Bench Hard | 33.7% | 39.2% |
| PIQA | 69.6% | 78.8% |
| MMLU | 47.9% | 45.8% |
| BoolQ | 79.0% | 77.9% |
Unweighted score: each test counts one point, whether math or coding. The dot marks who did better on each row.
Have you used chatglm2-6b? Rate it
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What people ask about chatglm2-6b
Where does chatglm2-6b rank among AI models?
In the ROO3 AI Benchmark, ordered by the Epoch AI ECI, chatglm2-6b ranks #245 out of 267 models, with an ECI of 99.05. 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 chatglm2-6b better than Llama 2-7B?
Across the 8 tests both models took and Epoch AI compiled, chatglm2-6b comes out ahead on 4, 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.
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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