Model comparison
Hy3 vs K-Exaone
Head-to-head evidence from 9 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Hy3 #80 (Estimated); K-Exaone #126 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Hy3 and K-Exaone share 9 comparable benchmark results. 0 of 8 categories are comparable. 5 results are unique to Hy3; 2 to K-Exaone.
Updated July 18, 2026- Shared results
- 9
- Hy3 only
- 5
- K-Exaone only
- 2
- Comparable categories
- 0 / 8
Benchmark data for Hy3 and K-Exaone is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 9 shared benchmark results across 3 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Hy3 | K-Exaone | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Hy3$0 input / $0 output | K-ExaoneNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Hy3Not available | K-ExaoneNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Hy3Not available | K-ExaoneNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Hy3256K | K-Exaone256K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Hy3 | K-Exaone | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 41.2% | 24.7% | Hy3 leads |
| AA-GPQA DiamondSource | 89.7% | 78.3% | Hy3 leads |
| AA-HLESource | 31.6% | 13.1% | Hy3 leads |
| AA-Omniscience IndexSource | -18.5% | -57.9% | Hy3 leads |
| AA-Omniscience AccuracySource | 31.5% | 16.5% | Hy3 leads |
| AA-Omniscience Hallucination RateSource | 73.0% | 89.1% | Hy3 leads |
Multimodal1 benchmarks
| Benchmark | Hy3 | K-Exaone | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1220 | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Hy3 | K-Exaone | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 64.7% | Not comparable |
Frequently Asked Questions (3)
Can I compare Hy3 and K-Exaone on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Hy3 and K-Exaone today?
Hy3: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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