Model comparison
Exaone 4.0 32B vs Gemma 4 12B
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); Gemma 4 12B #137 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Exaone 4.0 32B and Gemma 4 12B share 12 comparable benchmark results. 1 of 8 categories are comparable. 1 result is unique to Exaone 4.0 32B; 11 to Gemma 4 12B.
Updated July 23, 2026- Shared results
- 12
- Exaone 4.0 32B only
- 1
- Gemma 4 12B only
- 11
- Comparable categories
- 1 / 8
Pick Gemma 4 12B 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
Gemma 4 12B is clearly ahead on the BenchAlign aggregate, 47.29 to 40.44. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemma 4 12B gives you the larger context window at 256K, 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 | Gemma 4 12B |
|---|---|---|---|
| Knowledge | Exaone 4.0 32B81.8 | Margin← 4.3 | Gemma 4 12B77.5 |
| Reasoning | Exaone 4.0 32BNot measured | MarginNo overlap | Gemma 4 12B43.4 |
| Math | Exaone 4.0 32BNot measured | MarginNo overlap | Gemma 4 12B77.5 |
| Multimodal | Exaone 4.0 32BNot measured | MarginNo overlap | Gemma 4 12B69.1 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
MMLU-Pro
KnowledgeA 81.8%B 77.2%Winner: Exaone 4.0 32BΔ 4.6MMLU-Pro: Exaone 4.0 32B scored 81.8%; Gemma 4 12B scored 77.2%. Exaone 4.0 32B 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 | Gemma 4 12B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Exaone 4.0 32BNot available | Gemma 4 12BNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Exaone 4.0 32BNot available | Gemma 4 12BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Exaone 4.0 32BNot available | Gemma 4 12BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Exaone 4.0 32B128K | Gemma 4 12B256K | Gemma 4 12B lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | Exaone 4.0 32B | Gemma 4 12B | Result |
|---|---|---|---|
| τ²-bench resultsSource | 4.1% | 36.3% | Gemma 4 12B leads |
Coding1 benchmarks
| Benchmark | Exaone 4.0 32B | Gemma 4 12B | Result |
|---|---|---|---|
| AA-SciCodeSource | 25.2% | 38.2% | Gemma 4 12B leads |
Reasoning4 benchmarks
KnowledgeExaone 4.0 32B wins11 benchmarks
| Benchmark | Exaone 4.0 32B | Gemma 4 12B | Result |
|---|---|---|---|
| MMLU-ProSource | 81.8% | 77.2% | Exaone 4.0 32B leads |
| Artificial Analysis Intelligence IndexSource | 6.0% | 22.0% | Gemma 4 12B leads |
| AA-GPQA DiamondSource | 62.8% | 75.3% | Gemma 4 12B leads |
| AA-HLESource | 4.9% | 14.8% | Gemma 4 12B leads |
| AA-Omniscience IndexSource | -62.3% | -51.9% | Gemma 4 12B leads |
| AA-Omniscience AccuracySource | 10.4% | 16.0% | Gemma 4 12B leads |
| AA-Omniscience Hallucination RateSource | 81.0% | 80.8% | Gemma 4 12B leads |
| GPQASource | — | 78.8% | Not comparable |
| GPQA-DSource | — | 78.8% | Not comparable |
| HLE w/o toolsSource | — | 5.2% | Not comparable |
| MMMLUSource | — | 83.4% | Not comparable |
Math2 benchmarks
Multimodal4 benchmarks
Inst. Following1 benchmarks
| Benchmark | Exaone 4.0 32B | Gemma 4 12B | Result |
|---|---|---|---|
| AA-IFBenchSource | 33.5% | 73.5% | Gemma 4 12B leads |
Frequently Asked Questions (2)
Which is better, Exaone 4.0 32B or Gemma 4 12B?
Gemma 4 12B is ahead on BenchLM's BenchAlign leaderboard, 47.29 to 40.44. The biggest single separator in this matchup is MMLU-Pro, where the scores are 81.8% and 77.2%.
Which is better for knowledge tasks, Exaone 4.0 32B or Gemma 4 12B?
Exaone 4.0 32B has the edge for knowledge tasks in this comparison, averaging 81.8 versus 77.5. Inside this category, Artificial Analysis Intelligence Index is the benchmark that creates the most daylight between them.
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