Kimi Code Bench 3.0 Long-horizon
Coding agents carry out long multi-step engineering tasks with tools across several engineering domains. Moonshot reports a percentage score.
In-house. Moonshot reports it next to Kimi Code Bench 2.0, so it may be a separate long-horizon test rather than a replacement. Scoring method is not described.
- Made by
- Moonshot AI
- Released
- October 2026
- Kind
- Building whole projects
- 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
- October 2026
- Last model added
- October 2026
- Scores refreshed
- November 12th, 2026
GPT-6 Astra leads with 66.5%
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.
- 1 GPT-6 Astra max 66.5%
- 2 Kimi K3.1 Pro max 61.2%
- 3 Claude Fable 5.1 max 58.8%
- 4 Claude Opus 5.5 max 58.5%
- 5
DeepSeek V4.1 Flash 1017 max 51.5% - 6 GLM-5.3 max 45.5%
Source: Official Kimi Code Bench 3.0 Long-horizon leaderboard
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-6 Astra | 66.5% | max | Sep 2026 | Official leaderboard |
| 2 | Kimi K3.1 Pro | 61.2% | max | Oct 2026 | Official leaderboard |
| 3 | Claude Fable 5.1 | 58.8% | max | Sep 2026 | Official leaderboard |
| 4 | Claude Opus 5.5 | 58.5% | max | Sep 2026 | Official leaderboard |
| 5 | DeepSeek V4.1 Flash 1017 | 51.5% | max | Oct 2026 | Official leaderboard |
| 6 | GLM-5.3 | 45.5% | max | Aug 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 Kimi Code Bench 3.0 Long-horizon 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 Kimi Code Bench 3.0 Long-horizon 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 |
|---|---|---|---|
| Oct 24, 2026 | Kimi K3.1 Pro | 61.2 | Kimi Code Bench 3.0 Long-horizon (Internal) |
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 |
|---|---|---|---|
| Kimi K3.1 Pro | 61.2% Kimi Code Bench 3.0 Long-horizon (Internal) | 61.2% Leaderboard, max | 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