# GLM-4.7 vs Kimi K2.6

> Side-by-side benchmark comparison for GLM-4.7 and Kimi K2.6 across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/glm-4-7-vs-kimi-2-6
- Last updated: October 10, 2026

- Shared sourced benchmarks: 14
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

Kimi K2.6 leads by point estimate. Conditional score ranges do not establish rank confidence. Choose using the category evidence and your own workload tests.

## Summary

- Kimi K2.6 has the higher overall point estimate 58.74 to 48.28. Conditional score ranges do not establish rank confidence.
- The clearest category separation is in mathematics, where the averages are 26.3 for GLM-4.7 and 72.2 for Kimi K2.6.
- The biggest single benchmark swing is FrontierMath v2 (Tiers 1-3) in Mathematics, with scores of 2.439% and 38.966%.
- GLM-4.7 is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- Kimi K2.6 also has the larger context window at 256K.

## Model Snapshot

| Property | GLM-4.7 | Kimi K2.6 |
|----------|----------|----------|
| Creator | Z.AI | Moonshot AI |
| Type | Open Weight | Open Weight |
| Reasoning | Reasoning | Reasoning |
| Context | 200K | 256K |
| Overall Score | 48.28 | 58.74 |
| Benchmarks Covered | 19 | 37 |
| Pricing (input/output) | $0.00 / $0.00 | $0.95 / $4.00 |

## Category Breakdown

### Agentic

- Winner: Directional only
- GLM-4.7 public-lane score: 29.6 (Estimated · #87/123)
- Kimi K2.6 public-lane score: 43.7 (Supported · #57/123)

| Benchmark | GLM-4.7 | Kimi K2.6 | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.0 | 41% | 66.7% | Kimi K2.6 |
| BrowseComp | 52% | 83.2% | Kimi K2.6 |
| VITA-Bench | 15.5% | Coming soon | Coming soon |
| Gert Labs | 39.95% | 56.82% | Kimi K2.6 |
| OSWorld-Verified | Coming soon | 73.1% | Coming soon |
| Toolathlon | Coming soon | 50% | Coming soon |
| MCP Atlas | Coming soon | 55.9% | Coming soon |
| Claw-Eval | Coming soon | 62.3% | Coming soon |
| DeepSearchQA | Coming soon | 92.5% | Coming soon |
| WideResearch | Coming soon | 80.8% | Coming soon |
| ResearchClawBench | Coming soon | 18.0% | Coming soon |
| OSWorld 2.0 | Coming soon | 4.6% | Coming soon |
| Terminal-Bench 2.1 (Vals) | Coming soon | 53.6% | Coming soon |

### Coding

- Winner: Kimi K2.6
- GLM-4.7 public-lane score: 37.4 (Supported · #69/146)
- Kimi K2.6 public-lane score: 43.9 (Supported · #54/146)

| Benchmark | GLM-4.7 | Kimi K2.6 | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Verified | 73.8% | 80.2% | Kimi K2.6 |
| LiveCodeBench v6 | 84.9% | 89.6% | Kimi K2.6 |
| SWE-Rebench | 58.7% | Coming soon | Coming soon |
| Terminal-Bench 2.0 | 41.0% | 66.7% | Kimi K2.6 |
| LiveCodeBench (Vals) | 82.2% | 86.8% | Kimi K2.6 |
| SWE-bench (Vals) | 69.4% | 76.2% | Kimi K2.6 |
| SWE-bench Pro | Coming soon | 58.6% | Coming soon |
| SWE Multilingual | Coming soon | 76.7% | Coming soon |
| SciCode | Coming soon | 52.2% | Coming soon |
| Vibe Code Bench | Coming soon | 37.89% | Coming soon |
| cursorBench31 | Coming soon | 47.6% | Coming soon |

### Reasoning

- Winner: Not comparable
- GLM-4.7 public-lane score: 74.9 (Unranked · 2 rankable rows)
- Kimi K2.6 public-lane score: Coming soon

### Multimodal & Grounded

- Winner: Not comparable
- GLM-4.7 public-lane score: Coming soon
- Kimi K2.6 public-lane score: 73.8 (#27/54)

| Benchmark | GLM-4.7 | Kimi K2.6 | Winner |
|-----------|-----------|-----------|--------|
| MMMU-Pro | Coming soon | 79.4% | Coming soon |
| MMMU-Pro w/ Python | Coming soon | 80.1% | Coming soon |
| CharXiv | Coming soon | 80.4% | Coming soon |
| MathVision | Coming soon | 87.4% | Coming soon |
| V* | Coming soon | 96.9% | Coming soon |

### Knowledge

- Winner: Kimi K2.6
- GLM-4.7 public-lane score: 43.1 (Supported · #103/177)
- Kimi K2.6 public-lane score: 59.8 (Supported · #45/177)

| Benchmark | GLM-4.7 | Kimi K2.6 | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 85.7% | 90.5% | Kimi K2.6 |
| MMLU-Pro | 84.3% | Coming soon | Coming soon |
| HLE | 24.8% | 34.7% | Kimi K2.6 |
| GPQA Diamond (Vals) | 80.1% | 89.1% | Kimi K2.6 |
| MMLU-Pro (Vals) | 82.7% | 87.6% | Kimi K2.6 |
| GPQA-D | Coming soon | 90.5% | Coming soon |

### Instruction Following

- Winner: Not comparable
- GLM-4.7 public-lane score: 82.8 (#51/127)
- Kimi K2.6 public-lane score: Coming soon

### Mathematics

- Winner: Not comparable
- GLM-4.7 public-lane score: 26.3 (Unranked · 3 rankable rows)
- Kimi K2.6 public-lane score: 72.2 (#1/7)

| Benchmark | GLM-4.7 | Kimi K2.6 | Winner |
|-----------|-----------|-----------|--------|
| AIME 2025 | 95.7% | Coming soon | Coming soon |
| HMMT Feb 2025 | 97.1% | Coming soon | Coming soon |
| FrontierMath v2 (Tiers 1-3) | 2.439% | 38.966% | Kimi K2.6 |
| FrontierMath v2 (Tier 4) | 0.000% | 14.580% | Kimi K2.6 |
| AIME26 | Coming soon | 96.4% | Coming soon |
| HMMT Feb 2026 | Coming soon | 92.7% | Coming soon |
| MMAnswerBench | Coming soon | 86.0% | Coming soon |

## FAQ

### Which is better overall, GLM-4.7 or Kimi K2.6?

Kimi K2.6 has the higher overall point estimate. Conditional score ranges do not establish rank confidence.

### Where is the biggest gap between GLM-4.7 and Kimi K2.6?

The widest category gap is in mathematics, where the averages are 26.3 for GLM-4.7 and 72.2 for Kimi K2.6.

### How many benchmarks does GLM-4.7 cover on BenchLM?

GLM-4.7 currently has 19 sourced benchmark scores on BenchLM.

### How many benchmarks does Kimi K2.6 cover on BenchLM?

Kimi K2.6 currently has 37 sourced benchmark scores on BenchLM.

## Related Comparisons

- [GLM-4.7 vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-glm-4-7)
- [Kimi K2.6 vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-kimi-2-6)
- [GLM-4.7 vs GPT-6 Astra](/compare/glm-4-7-vs-gpt-6-astra)
- [Kimi K2.6 vs GPT-6 Astra](/compare/gpt-6-astra-vs-kimi-2-6)

## Explore More

- [GLM-4.7 profile](/models/glm-4-7)
- [Kimi K2.6 profile](/models/kimi-2-6)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)