Benchmark Almanac

Code Interpreter Benchmark Math

Qwen-14B 58.4% leads
Qwen1.5-72B 73.1% leads since February 2024
Dropped

Models use a Python interpreter to solve math problems. The score is execution accuracy on the Math task set.

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 in a launch post
February 2024, dropped before it saturated
Last model added
February 2024
Scores refreshed
November 12th, 2026
2
Models scored in lab cards
2
Launch posts list it, from 1 lab

Qwen1.5-72B leads with 73.1%

Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.

Qwen-14B leads with 58.4% across all independent runs

Best score per model across the official leaderboard, Epoch AI’s own runs and any board Epoch AI copied. Each bar and row names its source.

Qwen1.5-72B leads with 73.1%, claims included

Best score per model from every source, including labs’ own numbers and claims Epoch AI collected from reports and papers. Labs pick their own settings, so a claim can beat an independent run of the same model.

  1. 1 Qwen1.5-72B 73.1%
  2. 2 Qwen-14B 58.4%

Source: Labs’ model cards

Source: Official Code Interpreter Benchmark Math leaderboard

Sources: Labs’ model cards and official Code Interpreter Benchmark Math leaderboard

#ModelScoreSettingDateSource
1 Qwen1.5-72B 73.1% Feb 2024 Lab model card
2 Qwen-14B 58.4% Sep 2023 Lab model card
#ModelScoreSettingDateSource
1 Qwen-14B 58.4% version 20231206 Sep 2023 Official leaderboard
2 ChatGLM3-6B 54.2% version 20231206 Oct 2023 Official leaderboard
#ModelScoreSettingDateSource
1 Qwen1.5-72B 73.1% Feb 2024 Lab model card
2 Qwen-14B 58.4% version 20231206 Sep 2023 Official leaderboard
3 ChatGLM3-6B 54.2% version 20231206 Oct 2023 Official leaderboard

The benchmark's own leaderboard has 10 entries, 2 of them models we track. Switch the scores above to rank them together.

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

On the benchmark’s own leaderboard Reported by the lab in its model card Best so far
0% 20% 40% 60% 80% 100% 2024 Near the ceiling (85%) Qwen1.5-72B Qwen-14B 0% 20% 40% 60% 80% 100% 2024 Near the ceiling (85%) Qwen1.5-72B Qwen-14B

Sources: Official Code Interpreter Benchmark Math leaderboard and labs’ model cards

No launch post has listed it since February 2024

Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.

Qwen
DateLaunch postScoreAs the post writes it
Feb 5, 2024 Qwen1.5-72B 73.1 Code Interpreter Benchmark (Accuracy of Code Execution Results, Math)
Sep 25, 2023 Qwen-14B 58.4 Code Interpreter benchmark, Accuracy of Code Execution Results (Math)

One lab claim next to the leaderboard

Each score a lab reported for its own model, beside the same model's best score on the leaderboard. Gaps mostly come from different harnesses, effort levels and task subsets. 1 of them match, which usually means one side copied the other. Every benchmark.

Model Lab says Board says Gap
Qwen-14B 58.4% Code Interpreter benchmark, Accuracy of Code Execution Results (Math) 58.4% Leaderboard, version 20231206 Same

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