MiMo Coding Bench
Models do varied coding tasks inside agent harnesses such as Claude Code. Tasks cover repo understanding, project building, code review, artifact generation, planning and SWE.
Xiaomi built it in house. The MiMo-V2.6 report uses a MiMo Code Bench that gives MiMo-V2.5-Pro 40.4 against 73.7 here, so the two sets differ.
- Made by
- Xiaomi MiMo
- Released
- April 2026
- Kind
- Fixing real repositories
- Level
- Expert
- Scored
- Checked automatically
- Answers
- Agent task
- Tasks
- Kept private
- Strongest model tested
- Claude Opus 4.6 #37 on the capability index
- Last in a launch post
- April 2026, dropped before it saturated
- Last model added
- April 2026
- Scores refreshed
- November 12th, 2026
Claude Opus 4.6 leads with 77.1% among models released by April 2026
Best score per model from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best.
The newest model with a score here came out in April 2026, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- Claude Fable 5.2
-
Gemini 4 Carbon
- GPT-6 Astra
- Claude Opus 5.5
- and 16 more
- 1 Claude Opus 4.6 77.1%
- 2 MiMo-V2.5-Pro 73.7%
- 3 MiMo-V2.5 71.8%
- 4 MiMo-V2-Pro 71.5%
- 5
Gemini 3.1 Pro 67.8%
Source: Official MiMo Coding Bench leaderboard
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Claude Opus 4.6 | 77.1% | Feb 2026 | Official leaderboard | |
| 2 | MiMo-V2.5-Pro | 73.7% | Apr 2026 | Official leaderboard | |
| 3 | MiMo-V2.5 | 71.8% | Apr 2026 | Official leaderboard | |
| 4 | MiMo-V2-Pro | 71.5% | Mar 2026 | Official leaderboard | |
| 5 | | 67.8% | Feb 2026 | Official leaderboard |
Labs report scores for 2 models in their cards. We plot every source in the charts below.
Number one over time
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official MiMo Coding Bench leaderboard
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Sources: Official MiMo Coding Bench leaderboard and labs’ model cards
Labs headline it less often now, last in April 2026
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.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| Apr 27, 2026 | MiMo-V2.5-Pro | 73.7 | MiMo Coding Bench |
| Apr 22, 2026 | MiMo-V2.5 | 71.8 | MiMo Coding Bench |
2 lab claims 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. 2 of them match, which usually means one side copied the other. Every benchmark.
More in Coding
- SWE-bench Verified In use 500 human-validated GitHub issues from 12 Python repos. Agent writes a patch that must pass hidden tests. Claude Opus 4.7 83.5%
- LiveCodeBench v6 In use Competitive programming problems collected after model cutoffs from LeetCode, AtCoder, Codeforces. Scored pass@1 on hidden tests.
DeepSeek-V4-Pro 93.5%
- SWE-bench Multilingual In use 300 GitHub-issue tasks across nine programming languages in SWE-bench format. Patch graded by repository tests. Claude Fable 5.2 96.6%
- DeepSWE In use 113 original long-horizon engineering tasks across 91 repos and five languages, written from scratch. Hand-written verifiers accept alternative solutions. GPT-6 Astra 74.1%
- SciCode In use Scientist-curated research coding problems split into subproblems across natural sciences. Code checked against test cases.
Seed2.1 Pro 59.8%
- Codeforces rating In use Model solves recent Codeforces contest problems. An Elo-style rating is computed from simulated contest performance.
DeepSeek V4.1 Flash 3,471