Kimi Code Bench 2.0 (Internal)Browse 284 families
Kimi Code Bench 2.0 (Internal)
Can the model complete substantial programming work under this benchmark's agent setup?
Version / measure
- Domain
- Coding
- Ranked models
- 6
- Reported values
- 6
- Reports
- 1 · lab
- Direction
- Higher is better
- Status
- Version not specified
Rankings
Best reported score per model across effort settings
| # | Model | Best setting | Score |
|---|---|---|---|
| 1 | Claude Fable 5Anthropic | maxcost n/a1 value · Jul 17 · source | 76.9% |
| 2 | Kimi K3Moonshot AIOW | maxcost n/a1 value · Jul 17 · source | 72.9% |
| 3 | Claude Opus 4.8Anthropic | maxcost n/a1 value · Jul 17 · source | 71.7% |
| 4 | GPT-5.5OpenAI | xhighcost n/a1 value · Jul 17 · source | 69.0% |
| 5 | GPT-5.6 SolOpenAI | maxcost n/a1 value · Jul 17 · source | 64.8% |
| 6 | GLM-5.2Z.aiOW | maxcost n/a1 value · Jul 17 · source | 64.2% |
Effort curve
Score vs. reported cost. Lines connect complete sweeps only.
No cost-linked effort sweep for this version.
Definition and comparison boundaryinternal methodology
Can the model complete substantial programming work under this benchmark's agent setup?
Software implementation, debugging, or repository work under the published evaluation protocol. Higher is better. The value is the percentage reported in this lab's table.
This is a publisher-defined internal evaluation. The task set or grading details are not fully public, so treat it as directional evidence.
Method / source ↗