Model comparison
Exaone 4.0 32B vs GPT-5.5
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); GPT-5.5 #9 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Exaone 4.0 32B and GPT-5.5 share 11 comparable benchmark results. 1 of 8 categories are comparable. 2 results are unique to Exaone 4.0 32B; 46 to GPT-5.5.
Updated July 22, 2026- Shared results
- 11
- Exaone 4.0 32B only
- 2
- GPT-5.5 only
- 46
- Comparable categories
- 1 / 8
Pick GPT-5.5 if you want the stronger benchmark profile. Exaone 4.0 32B only becomes the better choice if knowledge is the priority.
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
GPT-5.5 is clearly ahead on the BenchAlign aggregate, 73.51 to 40.44. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.5 gives you the larger context window at 1M, 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 | GPT-5.5 |
|---|---|---|---|
| Knowledge | Exaone 4.0 32B81.8 | Margin← 24.0 | GPT-5.557.8 |
| Agentic | Exaone 4.0 32BNot measured | MarginNo overlap | GPT-5.581.6 |
| Coding | Exaone 4.0 32BNot measured | MarginNo overlap | GPT-5.558.6 |
| Reasoning | Exaone 4.0 32BNot measured | MarginNo overlap | GPT-5.585.0 |
| Math | Exaone 4.0 32BNot measured | MarginNo overlap | GPT-5.547.6 |
| Multimodal | Exaone 4.0 32BNot measured | MarginNo overlap | GPT-5.570.4 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Exaone 4.0 32B | GPT-5.5 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Exaone 4.0 32BNot available | GPT-5.5$5 input / $30 output | A complete price comparison is not available. |
| Generation speedtokens per second | Exaone 4.0 32BNot available | GPT-5.5Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Exaone 4.0 32BNot available | GPT-5.5Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Exaone 4.0 32B128K | GPT-5.51M | GPT-5.5 lists the larger context window. |
Benchmark Deep Dive
Agentic24 benchmarks
| Benchmark | Exaone 4.0 32B | GPT-5.5 | Result |
|---|---|---|---|
| τ²-bench resultsSource | 4.1% | 93.9% | GPT-5.5 leads |
| Terminal-Bench 2.0Source | — | 82% | Not comparable |
| CyberGymSource | — | 81.8% | Not comparable |
| BrowseCompSource | — | 84.4% | Not comparable |
| OSWorld-VerifiedSource | — | 78.7% | Not comparable |
| MCP AtlasSource | — | 75.3% | Not comparable |
| ToolathlonSource | — | 55.6% | Not comparable |
| AA Agentic IndexSource | — | 44.9% | Not comparable |
| APEX-Agents-AASource | — | 37.7% | Not comparable |
| GDPval-AASource | — | 49.5% | Not comparable |
| GDPval-AASource | — | 1490 | Not comparable |
| Gert LabsSource | — | 72.93% | Not comparable |
| ResearchClawBenchSource | — | 17.0% | Not comparable |
| OSWorld 2.0Source | — | 13.0% | Not comparable |
| JobBenchSource | — | 42.7% | Not comparable |
| ExploitGymSource | — | 13.4% | Not comparable |
| AA BriefcaseSource | — | 1154 | Not comparable |
| AA AutomationBenchSource | — | 42.1% | Not comparable |
| AA EnterpriseOps-GymSource | — | 46.6% | Not comparable |
| AA Harvey LABSource | — | 86.3% | Not comparable |
| AA ITBenchSource | — | 45.8% | Not comparable |
| AA Tau3 BankingSource | — | 31.3% | Not comparable |
| terminalBenchHardSource | — | 60.6% | Not comparable |
| aaTerminalBench21Source | — | 84.3% | Not comparable |
Coding9 benchmarks
| Benchmark | Exaone 4.0 32B | GPT-5.5 | Result |
|---|---|---|---|
| AA-SciCodeSource | 25.2% | 56.1% | GPT-5.5 leads |
| SWE-bench ProSource | — | 58.6% | Not comparable |
| Terminal-Bench 2.0Source | — | 82.0% | Not comparable |
| Vibe Code BenchSource | — | 69.85% | Not comparable |
| React Native EvalsSource | — | 84.7% | Not comparable |
| cursorBench31Source | — | 59.2% | Not comparable |
| cursorBench32Source | — | 58.4% | Not comparable |
| AA Coding IndexSource | — | 74.9% | Not comparable |
| FrontierCode 1.1 MainSource | — | 43.0% | Not comparable |
Reasoning5 benchmarks
KnowledgeExaone 4.0 32B wins11 benchmarks
| Benchmark | Exaone 4.0 32B | GPT-5.5 | Result |
|---|---|---|---|
| MMLU-ProSource | 81.8% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 6.0% | 54.8% | GPT-5.5 leads |
| AA-GPQA DiamondSource | 62.8% | 93.5% | GPT-5.5 leads |
| AA-HLESource | 4.9% | 44.3% | GPT-5.5 leads |
| AA-Omniscience IndexSource | -62.3% | 20.1% | GPT-5.5 leads |
| AA-Omniscience AccuracySource | 10.4% | 56.9% | GPT-5.5 leads |
| AA-Omniscience Hallucination RateSource | 81.0% | 85.5% | Exaone 4.0 32B leads |
| GPQASource | — | 93.6% | Not comparable |
| GPQA-DSource | — | 93.6% | Not comparable |
| HLESource | — | 52.2% | Not comparable |
| HLE w/o toolsSource | — | 41.4% | Not comparable |
Math4 benchmarks
Multimodal5 benchmarks
Inst. Following1 benchmarks
| Benchmark | Exaone 4.0 32B | GPT-5.5 | Result |
|---|---|---|---|
| AA-IFBenchSource | 33.5% | 75.9% | GPT-5.5 leads |
Frequently Asked Questions (2)
Which is better, Exaone 4.0 32B or GPT-5.5?
GPT-5.5 is ahead on BenchLM's BenchAlign leaderboard, 73.51 to 40.44.
Which is better for knowledge tasks, Exaone 4.0 32B or GPT-5.5?
Exaone 4.0 32B has the edge for knowledge tasks in this comparison, averaging 81.8 versus 57.8. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
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