Model comparison
K-Exaone vs Step 3.7 Flash
Head-to-head evidence from 12 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
BenchAlign evidence: K-Exaone estimated; Step 3.7 Flash estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. K-Exaone and Step 3.7 Flash share 12 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to K-Exaone; 18 to Step 3.7 Flash.
Updated July 16, 2026- Shared results
- 12
- K-Exaone only
- 0
- Step 3.7 Flash only
- 18
- Comparable categories
- 0 / 8
Benchmark data for K-Exaone and Step 3.7 Flash is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 5 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.
| Category | K-Exaone | Δ | Step 3.7 Flash |
|---|---|---|---|
| Agentic | K-ExaoneNot measured | MarginNo overlap | Step 3.7 Flash66.4 |
| Coding | K-ExaoneNot measured | MarginNo overlap | Step 3.7 Flash56.3 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | K-Exaone | Step 3.7 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | K-ExaoneNot available | Step 3.7 Flash$0.2 input / $1.15 output | A complete price comparison is not available. |
| Generation speedtokens per second | K-ExaoneNot available | Step 3.7 FlashNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | K-ExaoneNot available | Step 3.7 FlashNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | K-Exaone256K | Step 3.7 Flash256K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic12 benchmarks
| Benchmark | K-Exaone | Step 3.7 Flash | Result |
|---|---|---|---|
| τ²-bench resultsSource | 74.3% | 98.5% | Step 3.7 Flash leads |
| Terminal-Bench 2.0Source | — | 59.5% | Not comparable |
| BrowseCompSource | — | 75.8% | Not comparable |
| DeepSearchQASource | — | 92.8% | Not comparable |
| GDPval-AASource | — | 25.9% | Not comparable |
| ToolathlonSource | — | 49.5% | Not comparable |
| Claw-EvalSource | — | 67.1% | Not comparable |
| HLE w/ toolsSource | — | 47.2% | Not comparable |
| Gert LabsSource | — | 51.57% | Not comparable |
| AA Agentic IndexSource | — | 21.5% | Not comparable |
| GDPval-AASource | — | 1017 | Not comparable |
| APEX-Agents-AASource | — | 14.8% | Not comparable |
Coding5 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | K-Exaone | Step 3.7 Flash | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 24.7% | 30.3% | Step 3.7 Flash leads |
| AA-GPQA DiamondSource | 78.3% | 80.9% | Step 3.7 Flash leads |
| AA-HLESource | 13.1% | 19.9% | Step 3.7 Flash leads |
| AA-Omniscience IndexSource | -57.9% | -37.5% | Step 3.7 Flash leads |
| AA-Omniscience AccuracySource | 16.5% | 25.4% | Step 3.7 Flash leads |
| AA-Omniscience Hallucination RateSource | 89.1% | 84.4% | Step 3.7 Flash leads |
Multimodal4 benchmarks
Inst. Following1 benchmarks
| Benchmark | K-Exaone | Step 3.7 Flash | Result |
|---|---|---|---|
| AA-IFBenchSource | 64.7% | 67.3% | Step 3.7 Flash leads |
Frequently Asked Questions (3)
Can I compare K-Exaone and Step 3.7 Flash 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 Step 3.7 Flash today?
Step 3.7 Flash: $0.20 input / $1.15 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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