Model comparison
Gemma 3 4B vs INTELLECT-1
Gemma 3 4B has enough public results to be ranked (#320); 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 4B has downloadable open weights; the other is API-only.
Side by side
| Gemma 3 4B | INTELLECT-1 | |
|---|---|---|
| Provider | Hugging Face | |
| Noometry Index | 27.9 | — |
| Released | 2025-03-12 | 2024-11-29 |
| Weights | Open | Proprietary |
| Context window | 131K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.04 | — |
| Output $ / M tokens | $0.08 | — |
| Results tracked | 22 | 7 |
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Category by category
Coding Not comparable
Gemma 3 4B: 35.3 (#214), INTELLECT-1: —
| Benchmark | Gemma 3 4B | INTELLECT-1 |
|---|---|---|
| LMArena Coding | 1230 | — |
Agentic & Tool Use Not comparable
Gemma 3 4B: 20.7 (#134), INTELLECT-1: —
| Benchmark | Gemma 3 4B | INTELLECT-1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 19.6% | — |
Reasoning Not comparable
Gemma 3 4B: 12.7 (#330), INTELLECT-1: —
| Benchmark | Gemma 3 4B | INTELLECT-1 |
|---|---|---|
| Epoch Capabilities Index | 116.02 | 100.38 |
| Kagi LLM Benchmark | 25.2% | — |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1253 | — |
| DTBench | 50.9% | — |
| LMCA | 2.8% | — |
| BIG-Bench Hard | — | 34.9% |
| HellaSwag | — | 71.4% |
| WinoGrande | — | 65.8% |
Math Not comparable
Gemma 3 4B: 15.8 (#286), INTELLECT-1: —
| Benchmark | Gemma 3 4B | INTELLECT-1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 7.5% | — |
| LMArena Math | 1239 | — |
| GSM8K | — | 38.6% |
Knowledge Not comparable
Gemma 3 4B: 11.8 (#294), INTELLECT-1: —
| Benchmark | Gemma 3 4B | INTELLECT-1 |
|---|---|---|
| GPQA Diamond | 23.2% | — |
| Vectara Hallucination Rate | 6.4% | — |
| LMArena Expert | 1223 | — |
| ARC (AI2) Challenge | — | 54.5% |
| MMLU | — | 49.9% |
Multilingual Not comparable
Gemma 3 4B: 42.7 (#189), INTELLECT-1: —
| Benchmark | Gemma 3 4B | INTELLECT-1 |
|---|---|---|
| LMArena Non-English | 1273 | — |
| LMArena German | 1281 | — |
| LMArena Russian | 1294 | — |
Instruction Following Not comparable
Gemma 3 4B: 65.4 (#219), INTELLECT-1: —
| Benchmark | Gemma 3 4B | INTELLECT-1 |
|---|---|---|
| LMArena Instruction Following | 1239 | — |
Long Context Not comparable
Gemma 3 4B: 38.6 (#189), INTELLECT-1: —
| Benchmark | Gemma 3 4B | INTELLECT-1 |
|---|---|---|
| LMArena Longer Query | 1274 | — |
Writing & Preference Not comparable
Gemma 3 4B: 42.2 (#234), INTELLECT-1: —
| Benchmark | Gemma 3 4B | INTELLECT-1 |
|---|---|---|
| LMArena Text | 1291 | — |
| LMArena Creative Writing | 1270 | — |
| EQ-Bench Creative Writing | 1068 | — |
| LMArena Multi-Turn | 1255 | — |
Frequently asked questions
Is Gemma 3 4B better than INTELLECT-1?
Gemma 3 4B has enough public results to be ranked (#320); INTELLECT-1 does not yet, so treat this comparison as directional.
How many benchmarks do Gemma 3 4B and INTELLECT-1 share?
1 benchmark has published results for both models. Gemma 3 4B has 22 scored results on Noometry and INTELLECT-1 has 7.