Model comparison
Exaone 4.0 32B vs Qwen3.7 Max
Head-to-head evidence from 12 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); Qwen3.7 Max #10 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Exaone 4.0 32B and Qwen3.7 Max share 12 comparable benchmark results. 1 of 8 categories are comparable. 1 result is unique to Exaone 4.0 32B; 46 to Qwen3.7 Max.
Updated July 23, 2026- Shared results
- 12
- Exaone 4.0 32B only
- 1
- Qwen3.7 Max only
- 46
- Comparable categories
- 1 / 8
Pick Qwen3.7 Max 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 12 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
Qwen3.7 Max is clearly ahead on the BenchAlign aggregate, 72.84 to 40.44. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.7 Max 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 | Qwen3.7 Max |
|---|---|---|---|
| Knowledge | Exaone 4.0 32B81.8 | Margin← 17.6 | Qwen3.7 Max64.2 |
| Agentic | Exaone 4.0 32BNot measured | MarginNo overlap | Qwen3.7 Max69.7 |
| Coding | Exaone 4.0 32BNot measured | MarginNo overlap | Qwen3.7 Max77.9 |
| Reasoning | Exaone 4.0 32BNot measured | MarginNo overlap | Qwen3.7 Max90.4 |
| Math | Exaone 4.0 32BNot measured | MarginNo overlap | Qwen3.7 Max97.1 |
| Multilingual | Exaone 4.0 32BNot measured | MarginNo overlap | Qwen3.7 Max87.0 |
| Inst. Following | Exaone 4.0 32BNot measured | MarginNo overlap | Qwen3.7 Max84.4 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
MMLU-Pro
KnowledgeA 81.8%B 89.6%Winner: Qwen3.7 MaxΔ 7.8MMLU-Pro: Exaone 4.0 32B scored 81.8%; Qwen3.7 Max scored 89.6%. Qwen3.7 Max wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Exaone 4.0 32B | Qwen3.7 Max | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Exaone 4.0 32BNot available | Qwen3.7 MaxNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Exaone 4.0 32BNot available | Qwen3.7 MaxNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Exaone 4.0 32BNot available | Qwen3.7 MaxNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Exaone 4.0 32B128K | Qwen3.7 Max1M | Qwen3.7 Max lists the larger context window. |
Benchmark Deep Dive
Agentic21 benchmarks
| Benchmark | Exaone 4.0 32B | Qwen3.7 Max | Result |
|---|---|---|---|
| τ²-bench resultsSource | 4.1% | 94.7% | Qwen3.7 Max leads |
| Terminal-Bench 2.0Source | — | 69.7% | Not comparable |
| QwenClawBenchSource | — | 64.3% | Not comparable |
| QwenWebBenchSource | — | 1568 | Not comparable |
| Claw-EvalSource | — | 65.2% | Not comparable |
| BFCL v4Source | — | 75.0% | Not comparable |
| MCP AtlasSource | — | 76.4% | Not comparable |
| VITA-BenchSource | — | 47.9% | Not comparable |
| HLE w/ toolsSource | — | 53.5% | Not comparable |
| AA Agentic IndexSource | — | 30.6% | Not comparable |
| GDPval-AASource | — | 38.7% | Not comparable |
| GDPval-AASource | — | 1273 | Not comparable |
| Gert LabsSource | — | 64.27% | Not comparable |
| ResearchClawBenchSource | — | 18.7% | Not comparable |
| AA BriefcaseSource | — | 908 | Not comparable |
| AA AutomationBenchSource | — | 25.6% | Not comparable |
| AA EnterpriseOps-GymSource | — | 45.0% | Not comparable |
| AA ITBenchSource | — | 42.5% | Not comparable |
| terminalBenchHardSource | — | 50.8% | Not comparable |
| aaTerminalBench21Source | — | 74.5% | Not comparable |
| AA Harvey LABSource | — | 83.4% | Not comparable |
Coding9 benchmarks
| Benchmark | Exaone 4.0 32B | Qwen3.7 Max | Result |
|---|---|---|---|
| AA-SciCodeSource | 25.2% | 48.8% | Qwen3.7 Max leads |
| SWE-bench VerifiedSource | — | 80.4% | Not comparable |
| SWE-bench ProSource | — | 60.6% | Not comparable |
| SWE MultilingualSource | — | 78.3% | Not comparable |
| NL2RepoSource | — | 47.2% | Not comparable |
| SciCodeSource | — | 53.5% | Not comparable |
| LiveCodeBenchSource | — | 91.6% | Not comparable |
| Terminal-Bench 2.0Source | — | 69.7% | Not comparable |
| AA Coding IndexSource | — | 66.0% | Not comparable |
Reasoning3 benchmarks
KnowledgeExaone 4.0 32B wins13 benchmarks
| Benchmark | Exaone 4.0 32B | Qwen3.7 Max | Result |
|---|---|---|---|
| MMLU-ProSource | 81.8% | 89.6% | Qwen3.7 Max leads |
| Artificial Analysis Intelligence IndexSource | 6.0% | 46.0% | Qwen3.7 Max leads |
| AA-GPQA DiamondSource | 62.8% | 92.3% | Qwen3.7 Max leads |
| AA-HLESource | 4.9% | 38.1% | Qwen3.7 Max leads |
| AA-Omniscience IndexSource | -62.3% | 14.1% | Qwen3.7 Max leads |
| AA-Omniscience AccuracySource | 10.4% | 30.1% | Qwen3.7 Max leads |
| AA-Omniscience Hallucination RateSource | 81.0% | 22.9% | Qwen3.7 Max leads |
| GPQASource | — | 92.4% | Not comparable |
| GPQA-DSource | — | 92.4% | Not comparable |
| HLESource | — | 41.4% | Not comparable |
| MMLU-ReduxSource | — | 95% | Not comparable |
| SuperGPQASource | — | 73.6% | Not comparable |
| MMMLUSource | — | 90.3% | Not comparable |
Math4 benchmarks
Multilingual5 benchmarks
Multimodal1 benchmarks
| Benchmark | Exaone 4.0 32B | Qwen3.7 Max | Result |
|---|---|---|---|
| Design Arena WebsiteSource | — | 1293 | Not comparable |
Frequently Asked Questions (2)
Which is better, Exaone 4.0 32B or Qwen3.7 Max?
Qwen3.7 Max is ahead on BenchLM's BenchAlign leaderboard, 72.84 to 40.44. The biggest single separator in this matchup is MMLU-Pro, where the scores are 81.8% and 89.6%.
Which is better for knowledge tasks, Exaone 4.0 32B or Qwen3.7 Max?
Exaone 4.0 32B has the edge for knowledge tasks in this comparison, averaging 81.8 versus 64.2. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
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