Model comparison
K-Exaone vs o3-pro
Head-to-head evidence from 2 shared benchmark results across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: K-Exaone #126 (Estimated); o3-pro #127 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. K-Exaone and o3-pro share 2 comparable benchmark results. 0 of 8 categories are comparable. 9 results are unique to K-Exaone; 0 to o3-pro.
Updated July 23, 2026- Shared results
- 2
- K-Exaone only
- 9
- o3-pro only
- 0
- Comparable categories
- 0 / 8
Benchmark data for K-Exaone and o3-pro is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 1 evidence category; 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.
K-Exaone has the larger context window at 256K, compared with 200K for o3-pro.
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 | K-Exaone | o3-pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | K-ExaoneNot available | o3-pro$20 input / $80 output | A complete price comparison is not available. |
| Generation speedtokens per second | K-ExaoneNot available | o3-pro27 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | K-ExaoneNot available | o3-pro84.93 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | K-Exaone256K | o3-pro200K | K-Exaone lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | K-Exaone | o3-pro | Result |
|---|---|---|---|
| τ²-bench resultsSource | 74.3% | — | Not comparable |
Coding1 benchmarks
| Benchmark | K-Exaone | o3-pro | Result |
|---|---|---|---|
| AA-SciCodeSource | 35.6% | — | Not comparable |
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | K-Exaone | o3-pro | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 24.7% | 32.5% | o3-pro leads |
| AA-GPQA DiamondSource | 78.3% | 84.5% | o3-pro leads |
| AA-HLESource | 13.1% | — | Not comparable |
| AA-Omniscience IndexSource | -57.9% | — | Not comparable |
| AA-Omniscience AccuracySource | 16.5% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 89.1% | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | K-Exaone | o3-pro | Result |
|---|---|---|---|
| AA-IFBenchSource | 64.7% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare K-Exaone and o3-pro 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 K-Exaone and o3-pro today?
o3-pro: $20.00 input / $80.00 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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