# K-EXAONE 2.0 vs Qwen3.8-Omni-Flash

> Side-by-side benchmark comparison for K-EXAONE 2.0 and Qwen3.8-Omni-Flash across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/k-exaone-2-0-vs-qwen3-8-omni-flash
- Last updated: September 18, 2026

- Shared sourced benchmarks: 3
- HTML indexing: indexable
- Ranking lane: BenchAlign v5

## Quick Verdict

Evidence is too thin for a benchmark verdict: K-EXAONE 2.0 and Qwen3.8-Omni-Flash share only 3 sourced benchmark rows.

## Summary

- Only 3 shared sourced benchmark rows are available. That is not enough for a broad capability verdict, so this mirror does not name an overall winner.
- Qwen3.8-Omni-Flash has the lower published output-token price.
- Qwen3.8-Omni-Flash has the larger published context window at 1M.

## Model Snapshot

| Property | K-EXAONE 2.0 | Qwen3.8-Omni-Flash |
|----------|----------|----------|
| Creator | LG AI Research | Alibaba |
| Type | Open Weight | Proprietary |
| Reasoning | Reasoning | Reasoning |
| Context | 262K | 1M |
| Independent public score (not head-to-head) | null | null |
| Benchmarks Covered | 15 | 19 |
| Pricing (input/output) | $0.00 / $0.00 | Pricing unavailable / Pricing unavailable |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- K-EXAONE 2.0 public-lane score: Coming soon
- Qwen3.8-Omni-Flash public-lane score: Coming soon

| Benchmark | K-EXAONE 2.0 | Qwen3.8-Omni-Flash | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.1 | 43.8% | Coming soon | Coming soon |
| Claw-Eval | 77.7% | Coming soon | Coming soon |
| CoWorkBench | Coming soon | 75.3% | Coming soon |
| AndroidWorld | Coming soon | 87.1% | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- K-EXAONE 2.0 public-lane score: Coming soon
- Qwen3.8-Omni-Flash public-lane score: 53.5 (Estimated · #45/154)

| Benchmark | K-EXAONE 2.0 | Qwen3.8-Omni-Flash | Winner |
|-----------|-----------|-----------|--------|
| SciCode | 37.4% | Coming soon | Coming soon |
| SWE-bench Verified | 68.2% | Coming soon | Coming soon |
| Terminal-Bench 2.1 | 43.8% | Coming soon | Coming soon |
| SWE-bench Pro | Coming soon | 63.3% | Coming soon |
| SWE Multilingual | Coming soon | 80.5% | Coming soon |
| NL2Repo | Coming soon | 48.9% | Coming soon |
| DeepSWE | Coming soon | 57.8% | Coming soon |
| LiveCodeBench v6 | Coming soon | 92.6% | Coming soon |

### Multimodal & Grounded

- Winner: Insufficient shared evidence
- K-EXAONE 2.0 public-lane score: Coming soon
- Qwen3.8-Omni-Flash public-lane score: 85.1 (Unranked · 7 rankable rows)

| Benchmark | K-EXAONE 2.0 | Qwen3.8-Omni-Flash | Winner |
|-----------|-----------|-----------|--------|
| Vision2Web | Coming soon | 62.9% | Coming soon |
| ERQA | Coming soon | 71.0% | Coming soon |
| LVBench | Coming soon | 76.9% | Coming soon |
| RealWorldQA | Coming soon | 87.7% | Coming soon |
| MathVision | Coming soon | 91.8% | Coming soon |
| MathVision w/ Python | Coming soon | 96.2% | Coming soon |
| CharXiv w/o tools | Coming soon | 83.5% | Coming soon |
| CharXiv | Coming soon | 91.4% | Coming soon |

### Knowledge

- Winner: Insufficient shared evidence
- K-EXAONE 2.0 public-lane score: Coming soon
- Qwen3.8-Omni-Flash public-lane score: 54.9 (Estimated · #54/184)

| Benchmark | K-EXAONE 2.0 | Qwen3.8-Omni-Flash | Winner |
|-----------|-----------|-----------|--------|
| MMLU-Pro | 83.5% | Coming soon | Coming soon |
| GPQA-D | 82.2% | 91.0% | Qwen3.8-Omni-Flash |
| HLE | 18.3% | 36.5% | Qwen3.8-Omni-Flash |
| MMMLU | 86.6% | Coming soon | Coming soon |
| GPQA | Coming soon | 91% | Coming soon |

### Instruction Following

- Winner: Insufficient shared evidence
- K-EXAONE 2.0 public-lane score: Coming soon
- Qwen3.8-Omni-Flash public-lane score: 87.7 (#29/124)

| Benchmark | K-EXAONE 2.0 | Qwen3.8-Omni-Flash | Winner |
|-----------|-----------|-----------|--------|
| IFEval | 92.4% | Coming soon | Coming soon |
| IFBench | 72.6% | 81.5% | Qwen3.8-Omni-Flash |

### Multilingual

- Winner: Insufficient shared evidence
- K-EXAONE 2.0 public-lane score: Coming soon
- Qwen3.8-Omni-Flash public-lane score: Coming soon

| Benchmark | K-EXAONE 2.0 | Qwen3.8-Omni-Flash | Winner |
|-----------|-----------|-----------|--------|
| PolyMath | 71.3% | Coming soon | Coming soon |

### Mathematics

- Winner: Insufficient shared evidence
- K-EXAONE 2.0 public-lane score: Coming soon
- Qwen3.8-Omni-Flash public-lane score: Coming soon

| Benchmark | K-EXAONE 2.0 | Qwen3.8-Omni-Flash | Winner |
|-----------|-----------|-----------|--------|
| AIME26 | 92.3% | Coming soon | Coming soon |
| HMMT Feb 2026 | 78.4% | Coming soon | Coming soon |
| IMOAnswerBench | 78.6% | Coming soon | Coming soon |

## FAQ

### Is there enough evidence to pick between K-EXAONE 2.0 and Qwen3.8-Omni-Flash?

Not yet. The models share only 3 sourced benchmark rows, so this mirror reports the available measurements and metadata without naming a broad winner.

### What can I compare safely on this page?

Published pricing, context windows, model type, and individual shared benchmark rows are directly comparable. Independent overall scores and non-overlapping benchmark coverage are labeled separately and should not be read as a controlled head-to-head result.

## Related Comparisons

- [K-EXAONE 2.0 vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-k-exaone-2-0)
- [Qwen3.8-Omni-Flash vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-qwen3-8-omni-flash)
- [K-EXAONE 2.0 vs GPT-6 Astra](/compare/gpt-6-astra-vs-k-exaone-2-0)
- [Qwen3.8-Omni-Flash vs GPT-6 Astra](/compare/gpt-6-astra-vs-qwen3-8-omni-flash)

## Explore More

- [K-EXAONE 2.0 profile](/models/k-exaone-2-0)
- [Qwen3.8-Omni-Flash profile](/models/qwen3-8-omni-flash)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)