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EXAONE 4.0 (32B) vs Gemini 3.1 Pro
EXAONE 4.0 (32B) (LG AI Research) and Gemini 3.1 Pro (Google DeepMind) compared on benchmarks, pricing, context window, and use-case rankings.
- Gemini 3.1 Pro ranks higher for coding (59th vs 24th percentile).
| Attribute | EXAONE 4.0 (32B) | Gemini 3.1 Pro |
|---|---|---|
| Scores | ||
| Intelligence (ECI) | — | 155 |
| Coding | 24 | 59 |
| Math | 18 | 71 |
| Reasoning & Knowledge | 15 | 93 |
| Agentic & Tools | 0 | 79 |
| Specifications | ||
| Developer | LG AI Research | Google DeepMind |
| Family | — | Gemini |
| Released | Jul 15, 2025 | Feb 19, 2026 |
| Parameters | 32B | — |
| Availability | Open weights (non-commercial) | API access |
| Context window | — | — |
| Price — $/M input | — | — |
| Price — $/M output | — | — |
| Inputs | — | — |
| Outputs | — | — |
| Benchmarks | ||
| AIME 2024/2025 | 80% | 96% |
| GPQA Diamond | 74% | 94% |
| Humanity's Last Exam | 11% | 46% |
| LiveCodeBench | 75% | — |
| MMLU-Pro | 82% | — |
| SciCode | 34% | — |
| τ²-bench | 17% | — |
| APEX | — | 34% |
| ARC-AGI | — | 98% |
| ARC-AGI-2 | — | 77% |
| FrontierMath | — | 37% |
| FrontierMath Tier 4 | — | 17% |
| GSO (code optimization) | — | 23% |
| METR task horizon | — | 6.4 h |
| SimpleBench | — | 80% |
| SimpleQA Verified | — | 77% |
| SWE-bench Verified | — | 76% |
| Terminal-Bench | — | 80% |
| WebDev Arena | — | 1461 |
| WeirdML | — | 72% |
Use-case scores are 0–100 percentile composites across each area’s benchmarks, ranked against every model from the past year. Highlighted cells lead each row. Open a model for the full picture.
Frequently asked questions
Which is better for coding, EXAONE 4.0 (32B) or Gemini 3.1 Pro?
Across coding benchmarks like SWE-bench Verified and Terminal-Bench, Gemini 3.1 Pro ranks higher — 59th vs 24th percentile among the models tracked on Model Beat.
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Benchmarks & model data from Epoch AI (CC BY); pricing & specs from OpenRouter. ECI = Epoch Capabilities Index.