Model comparison
Exaone 4.0 32B vs Ling 2.6 Flash
Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Exaone 4.0 32B #170 (Estimated); Ling 2.6 Flash #154 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Exaone 4.0 32B and Ling 2.6 Flash share 11 comparable benchmark results. 1 of 8 categories are comparable. 2 results are unique to Exaone 4.0 32B; 7 to Ling 2.6 Flash.
Updated July 21, 2026- Shared results
- 11
- Exaone 4.0 32B only
- 2
- Ling 2.6 Flash only
- 7
- Comparable categories
- 1 / 8
Pick Ling 2.6 Flash if you want the stronger benchmark profile. Exaone 4.0 32B only becomes the better choice if knowledge is the priority or you want the stronger reasoning-first profile.
Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Ling 2.6 Flash is clearly ahead on the BenchAlign aggregate, 43.87 to 40.44. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Exaone 4.0 32B is the reasoning model in the pair, while Ling 2.6 Flash is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Ling 2.6 Flash gives you the larger context window at 262K, compared with 128K for Exaone 4.0 32B.
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 | Exaone 4.0 32B | Δ | Ling 2.6 Flash |
|---|---|---|---|
| Knowledge | Exaone 4.0 32B81.8 | Margin← 22.8 | Ling 2.6 Flash59.0 |
| Coding | Exaone 4.0 32BNot measured | MarginNo overlap | Ling 2.6 Flash27.0 |
| Inst. Following | Exaone 4.0 32BNot measured | MarginNo overlap | Ling 2.6 Flash57.0 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Exaone 4.0 32B | Ling 2.6 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Exaone 4.0 32BNot available | Ling 2.6 FlashNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Exaone 4.0 32BNot available | Ling 2.6 Flash209.5 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Exaone 4.0 32BNot available | Ling 2.6 Flash1.07 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Exaone 4.0 32B128K | Ling 2.6 Flash262K | Ling 2.6 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding3 benchmarks
Reasoning2 benchmarks
KnowledgeExaone 4.0 32B wins8 benchmarks
| Benchmark | Exaone 4.0 32B | Ling 2.6 Flash | Result |
|---|---|---|---|
| MMLU-ProSource | 81.8% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 6.0% | 14.1% | Ling 2.6 Flash leads |
| AA-GPQA DiamondSource | 62.8% | 59.3% | Exaone 4.0 32B leads |
| AA-HLESource | 4.9% | 6.2% | Ling 2.6 Flash leads |
| AA-Omniscience IndexSource | -62.3% | -65.7% | Exaone 4.0 32B leads |
| AA-Omniscience AccuracySource | 10.4% | 15.4% | Ling 2.6 Flash leads |
| AA-Omniscience Hallucination RateSource | 81.0% | 95.8% | Exaone 4.0 32B leads |
| GPQASource | — | 59% | Not comparable |
Math1 benchmarks
| Benchmark | Exaone 4.0 32B | Ling 2.6 Flash | Result |
|---|---|---|---|
| AIME 2025Source | 85.3% | — | Not comparable |
Frequently Asked Questions (2)
Which is better, Exaone 4.0 32B or Ling 2.6 Flash?
Ling 2.6 Flash is ahead on BenchLM's BenchAlign leaderboard, 43.87 to 40.44.
Which is better for knowledge tasks, Exaone 4.0 32B or Ling 2.6 Flash?
Exaone 4.0 32B has the edge for knowledge tasks in this comparison, averaging 81.8 versus 59. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
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