MiMo Code Bench
Coding agents work through a varied set of software tasks built in house by Xiaomi. The report gives no task count or grading details.
Xiaomi also reports a mini version with avg@3 during training.
- Made by
- Xiaomi MiMo
- Released
- September 2026
- Kind
- Fixing real repositories
- Level
- Expert
- Scored
- Checked automatically
- Answers
- Agent task
- Tasks
- Kept private
- Strongest model tested
- GPT-6 Astra #3 on the capability index
- Last in a launch post
- September 2026
- Last model added
- September 2026
- Scores refreshed
- November 12th, 2026
Claude Opus 5 leads with 68.6% among models released by September 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 September 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
- Claude Opus 5.5
- GPT-6.1 Sol
- and 13 more
- 1 Claude Opus 5 68.6%
- 2 MiMo-V2.6 Pro 63.2%
- 3 GPT-6 Astra 61.4%
- 4 MiMo-V2.6 Flash 61.2%
- 5
DeepSeek V4.1 Flash 60.2%
- 6 Kimi K3 60.1%
- 7 GPT-5.6 Sol 59.3%
- 8 MiMo-V2.5-Pro 40.4%
Source: Official MiMo Code Bench leaderboard
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Claude Opus 5 | 68.6% | Jul 2026 | Official leaderboard | |
| 2 | MiMo-V2.6 Pro | 63.2% | Sep 2026 | Official leaderboard | |
| 3 | GPT-6 Astra | 61.4% | Sep 2026 | Official leaderboard | |
| 4 | MiMo-V2.6 Flash | 61.2% | Sep 2026 | Official leaderboard | |
| 5 | | 60.2% | Sep 2026 | Official leaderboard | |
| 6 | Kimi K3 | 60.1% | Jul 2026 | Official leaderboard | |
| 7 | GPT-5.6 Sol | 59.3% | Jul 2026 | Official leaderboard | |
| 8 | MiMo-V2.5-Pro | 40.4% | Apr 2026 | Official leaderboard |
Labs report scores for 1 model 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 Code 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 Code Bench leaderboard and labs’ model cards
One lab put it in a launch post in the last six months
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 |
|---|---|---|---|
| Sep 22, 2026 | MiMo-V2.6 Pro | 63.2 | MiMo Code Bench |
One system card reports it
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Sep 22, 2026 | MiMo-V2.6 Pro technical report | 63.2 | MiMo Code Bench (in-house) (Table 3) | Capabilities |
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 |
|---|---|---|---|
| MiMo-V2.6 Pro | 63.2% MiMo Code Bench | 63.2% Leaderboard | Same |
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