# GLM-5.3-Flash vs Kimi K2.7 Code

> Side-by-side benchmark comparison for GLM-5.3-Flash and Kimi K2.7 Code across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/glm-5-3-flash-vs-kimi-k2-7-code
- Last updated: October 10, 2026

- Shared sourced benchmarks: 4
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

GLM-5.3-Flash leads by point estimate. Conditional score ranges do not establish rank confidence. Choose using the category evidence and your own workload tests.

## Summary

- GLM-5.3-Flash has the higher overall point estimate 57.36 to 52.39. Conditional score ranges do not establish rank confidence.
- The clearest category separation is in agentic, where the averages are 55.7 for GLM-5.3-Flash and 37.6 for Kimi K2.7 Code.
- The biggest single benchmark swing is SWE-bench (Vals) in Coding, with scores of 92.0% and 78.2%.
- GLM-5.3-Flash is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- GLM-5.3-Flash also has the larger context window at 1M.

## Model Snapshot

| Property | GLM-5.3-Flash | Kimi K2.7 Code |
|----------|----------|----------|
| Creator | Z.AI | Moonshot AI |
| Type | Open Weight | Open Weight |
| Reasoning | Reasoning | Reasoning |
| Context | 1M | 256K |
| Overall Score | 57.36 | 52.39 |
| Benchmarks Covered | 21 | 11 |
| Pricing (input/output) | $0.00 / $0.00 | $0.95 / $4.00 |

## Category Breakdown

### Agentic

- Winner: GLM-5.3-Flash
- GLM-5.3-Flash public-lane score: 55.7 (Supported · #34/123)
- Kimi K2.7 Code public-lane score: 37.6 (Supported · #68/123)

| Benchmark | GLM-5.3-Flash | Kimi K2.7 Code | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.1 | 84.3% | Coming soon | Coming soon |
| Toolathlon-Verified | 78.4% | Coming soon | Coming soon |
| AutomationBench | 48.8% | Coming soon | Coming soon |
| Agents' Last Exam | 26.3% | Coming soon | Coming soon |
| HLE w/ tools | 55.3% | Coming soon | Coming soon |
| Terminal-Bench 2.1 (Vals) | 62.9% | 67.0% | Kimi K2.7 Code |
| Kimi Claw 24/7 | Coming soon | 46.9% | Coming soon |
| MCP Atlas | Coming soon | 76% | Coming soon |
| MCP Mark Verified | Coming soon | 81.1% | Coming soon |

### Coding

- Winner: GLM-5.3-Flash
- GLM-5.3-Flash public-lane score: 49.3 (Supported · #42/146)
- Kimi K2.7 Code public-lane score: 42.8 (Supported · #57/146)

| Benchmark | GLM-5.3-Flash | Kimi K2.7 Code | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.1 | 84.3% | Coming soon | Coming soon |
| DeepSWE | 63.4% | Coming soon | Coming soon |
| NL2Repo | 56.3% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 80.5% | 82.1% | Kimi K2.7 Code |
| SWE-bench (Vals) | 92.0% | 78.2% | GLM-5.3-Flash |
| OpenHarmony Bench | 57.3% | 52.1% | GLM-5.3-Flash |
| FrontierSWE v2 | 18.1% | Coming soon | Coming soon |
| Bug Hunt Bench | 17.7 fixes | Coming soon | Coming soon |
| Kimi Code Bench v2 | Coming soon | 62.0% | Coming soon |
| ProgramBench | Coming soon | 53.6% | Coming soon |
| MLS-Bench Lite | Coming soon | 35.1% | Coming soon |
| CursorBench 3.2 | Coming soon | 49.7% | Coming soon |

### Reasoning

- Winner: Not comparable
- GLM-5.3-Flash public-lane score: 81.1 (#11/28)
- Kimi K2.7 Code public-lane score: 80.6 (Unranked · 2 rankable rows)

### Multimodal & Grounded

- Winner: Not comparable
- GLM-5.3-Flash public-lane score: 84 (#14/54)
- Kimi K2.7 Code public-lane score: Coming soon

| Benchmark | GLM-5.3-Flash | Kimi K2.7 Code | Winner |
|-----------|-----------|-----------|--------|
| OfficeQA Pro | 62.4% | Coming soon | Coming soon |
| CharXiv | 89.4% | Coming soon | Coming soon |
| Chartography (tools) | 78.0% | Coming soon | Coming soon |
| BabyVision | 53.4% | Coming soon | Coming soon |
| MMVU | 80.5% | Coming soon | Coming soon |

### Knowledge

- Winner: Directional only
- GLM-5.3-Flash public-lane score: 60.5 (Supported · #43/177)
- Kimi K2.7 Code public-lane score: 55 (Estimated · #59/177)

| Benchmark | GLM-5.3-Flash | Kimi K2.7 Code | Winner |
|-----------|-----------|-----------|--------|
| GPQA Diamond (Vals) | 86.4% | Coming soon | Coming soon |
| MMLU-Pro (Vals) | 86.1% | Coming soon | Coming soon |

### Instruction Following

- Winner: Not comparable
- GLM-5.3-Flash public-lane score: Coming soon
- Kimi K2.7 Code public-lane score: 76.6 (#60/127)

## FAQ

### Which is better overall, GLM-5.3-Flash or Kimi K2.7 Code?

GLM-5.3-Flash has the higher overall point estimate. Conditional score ranges do not establish rank confidence.

### Where is the biggest gap between GLM-5.3-Flash and Kimi K2.7 Code?

The widest category gap is in agentic, where the averages are 55.7 for GLM-5.3-Flash and 37.6 for Kimi K2.7 Code.

### How many benchmarks does GLM-5.3-Flash cover on BenchLM?

GLM-5.3-Flash currently has 21 sourced benchmark scores on BenchLM.

### How many benchmarks does Kimi K2.7 Code cover on BenchLM?

Kimi K2.7 Code currently has 11 sourced benchmark scores on BenchLM.

## Related Comparisons

- [GLM-5.3-Flash vs GLM-5.3](/compare/glm-5-3-vs-glm-5-3-flash)
- [Kimi K2.7 Code vs GLM-5.3](/compare/glm-5-3-vs-kimi-k2-7-code)
- [GLM-5.3-Flash vs GLM-5.2](/compare/glm-5-2-vs-glm-5-3-flash)
- [Kimi K2.7 Code vs GLM-5.2](/compare/glm-5-2-vs-kimi-k2-7-code)

## Explore More

- [GLM-5.3-Flash profile](/models/glm-5-3-flash)
- [Kimi K2.7 Code profile](/models/kimi-k2-7-code)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)
