# K-EXAONE 2.0 vs Kimi K2.6

> Side-by-side benchmark comparison for K-EXAONE 2.0 and Kimi K2.6 across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/k-exaone-2-0-vs-kimi-2-6
- Last updated: September 10, 2026

- Shared sourced benchmarks: 7
- HTML indexing: indexable
- Ranking lane: BenchAlign v5

## Quick Verdict

Pick Kimi K2.6 if you want the stronger benchmark profile. K-EXAONE 2.0 only makes more sense when its price, context window, or workload-specific category wins matter more than the overall score.

## Summary

- Kimi K2.6 leads overall 65.39 to 0.
- The biggest single benchmark swing is HLE in Knowledge, with scores of 18.3% and 34.7%.
- K-EXAONE 2.0 is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- K-EXAONE 2.0 also has the larger context window at 262K.

## Model Snapshot

| Property | K-EXAONE 2.0 | Kimi K2.6 |
|----------|----------|----------|
| Creator | LG AI Research | Moonshot AI |
| Type | Open Weight | Open Weight |
| Reasoning | Reasoning | Reasoning |
| Context | 262K | 256K |
| Overall Score | null | 65.39 |
| Benchmarks Covered | 15 | 37 |
| Pricing (input/output) | $0.00 / $0.00 | $0.95 / $4.00 |

## Category Breakdown

### Agentic

- Winner: Coming soon
- K-EXAONE 2.0 public-lane score: Coming soon
- Kimi K2.6 public-lane score: 46.7 (Supported · #74/152)

| Benchmark | K-EXAONE 2.0 | Kimi K2.6 | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.1 | 43.8% | Coming soon | Coming soon |
| Claw-Eval | 77.7% | 62.3% | K-EXAONE 2.0 |
| Terminal-Bench 2.0 | Coming soon | 66.7% | Coming soon |
| BrowseComp | Coming soon | 83.2% | Coming soon |
| OSWorld-Verified | Coming soon | 73.1% | Coming soon |
| Toolathlon | Coming soon | 50% | Coming soon |
| MCP Atlas | Coming soon | 55.9% | Coming soon |
| DeepSearchQA | Coming soon | 92.5% | Coming soon |
| WideResearch | Coming soon | 80.8% | Coming soon |
| Gert Labs | Coming soon | 56.82% | 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: Coming soon
- K-EXAONE 2.0 public-lane score: Coming soon
- Kimi K2.6 public-lane score: 50.8 (Supported · #52/151)

| Benchmark | K-EXAONE 2.0 | Kimi K2.6 | Winner |
|-----------|-----------|-----------|--------|
| SciCode | 37.4% | 52.2% | Kimi K2.6 |
| SWE-bench Verified | 68.2% | 80.2% | Kimi K2.6 |
| Terminal-Bench 2.1 | 43.8% | Coming soon | Coming soon |
| LiveCodeBench v6 | Coming soon | 89.6% | Coming soon |
| SWE-bench Pro | Coming soon | 58.6% | Coming soon |
| SWE Multilingual | Coming soon | 76.7% | Coming soon |
| Terminal-Bench 2.0 | Coming soon | 66.7% | Coming soon |
| Vibe Code Bench | Coming soon | 37.89% | Coming soon |
| cursorBench31 | Coming soon | 47.6% | Coming soon |
| LiveCodeBench (Vals) | Coming soon | 86.8% | Coming soon |
| SWE-bench (Vals) | Coming soon | 76.2% | Coming soon |

### Multimodal & Grounded

- Winner: Coming soon
- K-EXAONE 2.0 public-lane score: Coming soon
- Kimi K2.6 public-lane score: 64 (#26/48)

| Benchmark | K-EXAONE 2.0 | 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: Coming soon
- K-EXAONE 2.0 public-lane score: Coming soon
- Kimi K2.6 public-lane score: 61.5 (Supported · #32/183)

| Benchmark | K-EXAONE 2.0 | Kimi K2.6 | Winner |
|-----------|-----------|-----------|--------|
| MMLU-Pro | 83.5% | Coming soon | Coming soon |
| GPQA-D | 82.2% | 90.5% | Kimi K2.6 |
| HLE | 18.3% | 34.7% | Kimi K2.6 |
| MMMLU | 86.6% | Coming soon | Coming soon |
| GPQA | Coming soon | 90.5% | Coming soon |
| GPQA Diamond (Vals) | Coming soon | 89.1% | Coming soon |
| MMLU-Pro (Vals) | Coming soon | 87.6% | Coming soon |

### Instruction Following

- Winner: Coming soon
- K-EXAONE 2.0 public-lane score: Coming soon
- Kimi K2.6 public-lane score: Coming soon

| Benchmark | K-EXAONE 2.0 | Kimi K2.6 | Winner |
|-----------|-----------|-----------|--------|
| IFEval | 92.4% | Coming soon | Coming soon |
| IFBench | 72.6% | Coming soon | Coming soon |

### Multilingual

- Winner: Coming soon
- K-EXAONE 2.0 public-lane score: Coming soon
- Kimi K2.6 public-lane score: Coming soon

| Benchmark | K-EXAONE 2.0 | Kimi K2.6 | Winner |
|-----------|-----------|-----------|--------|
| PolyMath | 71.3% | Coming soon | Coming soon |

### Mathematics

- Winner: Coming soon
- K-EXAONE 2.0 public-lane score: Coming soon
- Kimi K2.6 public-lane score: 71.3 (#1/7)

| Benchmark | K-EXAONE 2.0 | Kimi K2.6 | Winner |
|-----------|-----------|-----------|--------|
| AIME26 | 92.3% | 96.4% | Kimi K2.6 |
| HMMT Feb 2026 | 78.4% | 92.7% | Kimi K2.6 |
| IMOAnswerBench | 78.6% | Coming soon | Coming soon |
| MMAnswerBench | Coming soon | 86.0% | Coming soon |
| FrontierMath v2 (Tiers 1-3) | Coming soon | 38.966% | Coming soon |
| FrontierMath v2 (Tier 4) | Coming soon | 14.580% | Coming soon |

## FAQ

### Which is better overall, K-EXAONE 2.0 or Kimi K2.6?

Kimi K2.6 is ahead overall on BenchLM right now.

### How many benchmarks does K-EXAONE 2.0 cover on BenchLM?

K-EXAONE 2.0 currently has 15 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

- [K-EXAONE 2.0 vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-k-exaone-2-0)
- [Kimi K2.6 vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-kimi-2-6)
- [K-EXAONE 2.0 vs GPT-6 Astra](/compare/gpt-6-astra-vs-k-exaone-2-0)
- [Kimi K2.6 vs GPT-6 Astra](/compare/gpt-6-astra-vs-kimi-2-6)

## Explore More

- [K-EXAONE 2.0 profile](/models/k-exaone-2-0)
- [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)
