Code Interpreter Benchmark General
Models use a Python interpreter for general tasks. The score is the percentage of generated programs that execute.
One track of Code Interpreter Benchmark. The Code Interpreter Benchmark record keeps lab scores that combine tracks.
- Made by
- Qwen
- Released
- September 2023
- Kind
- Function calling
- Level
- School
- Scored
- Checked automatically
- Answers
- Agent task
- Tasks
- All public
- Strongest model tested
-
Qwen-14B #213 on the capability index
- Last model added
- October 2023
- Scores refreshed
- November 12th, 2026
GPT-4 (snapshot unspecified) tops the leaderboard with 82.8%
Best score per entry from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders. The best model we track is Qwen-14B, at 65.5%.
- 1 GPT-4 (snapshot unspecified) version 20231206 82.8%
- 2 Qwen-72B-Chat version 20231206 82.8%
- 3 CodeLLaMA-13B-Instruct version 20231206 74.1%
- 4 GPT-3.5 version 20231206 74.1%
- 5 Qwen-7B-Chat version 20231206 67.2%
- 6 InternLM-20B-Chat version 20231206 65.5%
- 7 Qwen-1.8B-Chat version 20231206 65.5%
- 8
Qwen-14B version 20231206 65.5%
- 9 ChatGLM3-6B version 20231206 62.1%
- 10 LLaMA2-13B-Chat version 20231206 48.3%
Source: Official Code Interpreter Benchmark General leaderboard
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-4 (snapshot unspecified) | 82.8% | version 20231206 | Official leaderboard | |
| 2 | Qwen-72B-Chat | 82.8% | version 20231206 | Official leaderboard | |
| 3 | CodeLLaMA-13B-Instruct | 74.1% | version 20231206 | Official leaderboard | |
| 4 | GPT-3.5 | 74.1% | version 20231206 | Official leaderboard | |
| 5 | Qwen-7B-Chat | 67.2% | version 20231206 | Official leaderboard | |
| 6 | InternLM-20B-Chat | 65.5% | version 20231206 | Official leaderboard | |
| 7 | Qwen-1.8B-Chat | 65.5% | version 20231206 | Official leaderboard | |
| 8 | | 65.5% | version 20231206 | Sep 2023 | Official leaderboard |
| 9 | ChatGLM3-6B | 62.1% | version 20231206 | Oct 2023 | Official leaderboard |
| 10 | LLaMA2-13B-Chat | 48.3% | version 20231206 | Official leaderboard |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Official Code Interpreter Benchmark General leaderboard
No lab model card reports it yet
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.
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