Model comparison
Gemma 3 12B vs INTELLECT-1
Gemma 3 12B has enough public results to be ranked (#262); INTELLECT-1 does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
Google
Hugging FaceSummary
- They share 1 benchmark with published results for both.
- Gemma 3 12B has downloadable open weights; the other is API-only.
Side by side
| Gemma 3 12B | INTELLECT-1 | |
|---|---|---|
| Provider | Hugging Face | |
| Noometry Index | 32.1 | — |
| Released | 2025-03-12 | 2024-11-29 |
| Weights | Open | Proprietary |
| Context window | 131K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.05 | — |
| Output $ / M tokens | $0.15 | — |
| Results tracked | 24 | 7 |
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Category by category
Coding Not comparable
Gemma 3 12B: 31.7 (#280), INTELLECT-1: —
| Benchmark | Gemma 3 12B | INTELLECT-1 |
|---|---|---|
| SciCode | 17.4% | — |
| LMArena Coding | 1281 | — |
Agentic & Tool Use Not comparable
Gemma 3 12B: 25.5 (#108), INTELLECT-1: —
| Benchmark | Gemma 3 12B | INTELLECT-1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 30.4% | — |
Reasoning Not comparable
Gemma 3 12B: 15.7 (#313), INTELLECT-1: —
| Benchmark | Gemma 3 12B | INTELLECT-1 |
|---|---|---|
| Epoch Capabilities Index | 123.5 | 100.86 |
| CritPt | 0% | — |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1309 | — |
| DTBench | 48.8% | — |
| LMCA | 4.5% | — |
| BIG-Bench Hard | — | 34.9% |
| HellaSwag | — | 71.4% |
| WinoGrande | — | 65.8% |
Math Not comparable
Gemma 3 12B: 22.3 (#279), INTELLECT-1: —
| Benchmark | Gemma 3 12B | INTELLECT-1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 16.7% | — |
| LMArena Math | 1307 | — |
| GSM8K | — | 38.6% |
Knowledge Not comparable
Gemma 3 12B: 26.5 (#257), INTELLECT-1: —
| Benchmark | Gemma 3 12B | INTELLECT-1 |
|---|---|---|
| GPQA Diamond | 39.5% | — |
| Vectara Hallucination Rate | 4.4% | — |
| LMArena Expert | 1248 | — |
| ARC (AI2) Challenge | — | 54.5% |
| MMLU | — | 49.9% |
Multimodal Not comparable
Gemma 3 12B: —, INTELLECT-1: —
| Benchmark | Gemma 3 12B | INTELLECT-1 |
|---|---|---|
| MindCube | 46.7% | — |
Multilingual Not comparable
Gemma 3 12B: 45.7 (#165), INTELLECT-1: —
| Benchmark | Gemma 3 12B | INTELLECT-1 |
|---|---|---|
| LMArena Non-English | 1318 | — |
| LMArena German | 1370 | — |
| LMArena Russian | 1335 | — |
Instruction Following Not comparable
Gemma 3 12B: 68.6 (#186), INTELLECT-1: —
| Benchmark | Gemma 3 12B | INTELLECT-1 |
|---|---|---|
| LMArena Instruction Following | 1299 | — |
Long Context Not comparable
Gemma 3 12B: 40.0 (#162), INTELLECT-1: —
| Benchmark | Gemma 3 12B | INTELLECT-1 |
|---|---|---|
| LMArena Longer Query | 1317 | — |
Writing & Preference Not comparable
Gemma 3 12B: 47.5 (#209), INTELLECT-1: —
| Benchmark | Gemma 3 12B | INTELLECT-1 |
|---|---|---|
| LMArena Text | 1334 | — |
| LMArena Creative Writing | 1331 | — |
| EQ-Bench Creative Writing | 1126 | — |
| LMArena Multi-Turn | 1334 | — |
Frequently asked questions
Is Gemma 3 12B better than INTELLECT-1?
Gemma 3 12B has enough public results to be ranked (#262); INTELLECT-1 does not yet, so treat this comparison as directional.
How many benchmarks do Gemma 3 12B and INTELLECT-1 share?
1 benchmark has published results for both models. Gemma 3 12B has 24 scored results on Noometry and INTELLECT-1 has 7.