Model comparison
Gemma 3 4B vs Yi-1.5-34B
Yi-1.5-34B is the stronger model overall, scoring 30.2 to 27.9 on the Noometry Index.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. Gemma 3 4B scores higher in 5 categories and Yi-1.5-34B in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Gemma 3 4B leads 42.7 to 32.5.
- The biggest single-benchmark swing is GPQA Diamond: 23.2% for Gemma 3 4B and 32% for Yi-1.5-34B.
Side by side
| Gemma 3 4B | Yi-1.5-34B | |
|---|---|---|
| Provider | 01.AI | |
| Noometry Index | 27.9 | 30.2 |
| Released | 2025-03-12 | 2024-05-13 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.04 | — |
| Output $ / M tokens | $0.08 | — |
| Results tracked | 22 | 21 |
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Category by category
Coding Gemma 3 4B leads
Gemma 3 4B: 35.3 (#214), Yi-1.5-34B: 31.9 (#267)
| Benchmark | Gemma 3 4B | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1230 | 1169 |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |
Agentic & Tool Use Not comparable
Gemma 3 4B: 20.7 (#134), Yi-1.5-34B: —
| Benchmark | Gemma 3 4B | Yi-1.5-34B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 19.6% | — |
Reasoning Yi-1.5-34B leads
Gemma 3 4B: 12.7 (#330), Yi-1.5-34B: 21.5 (#195)
| Benchmark | Gemma 3 4B | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1253 | 1160 |
| Kagi LLM Benchmark | 25.2% | — |
| Chess Puzzles | 0% | — |
| DTBench | 50.9% | — |
| LMCA | 2.8% | — |
| Epoch Capabilities Index | 116.02 | — |
Math Yi-1.5-34B leads
Gemma 3 4B: 15.8 (#286), Yi-1.5-34B: 25.3 (#248)
| Benchmark | Gemma 3 4B | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1239 | 1182 |
| OTIS Mock AIME 2024-2025 | 7.5% | — |
| MATH Level 5 | — | 25.5% |
Knowledge Yi-1.5-34B leads
Gemma 3 4B: 11.8 (#294), Yi-1.5-34B: 14.8 (#290)
| Benchmark | Gemma 3 4B | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | 23.2% | 32% |
| LMArena Expert | 1223 | 1144 |
| Vectara Hallucination Rate | 6.4% | — |
Multilingual Gemma 3 4B leads
Gemma 3 4B: 42.7 (#189), Yi-1.5-34B: 32.5 (#251)
| Benchmark | Gemma 3 4B | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1273 | 1121 |
| LMArena German | 1281 | 1111 |
| LMArena Russian | 1294 | 1091 |
| LMArena Chinese | — | 1213 |
| LMArena French | — | 1155 |
| LMArena Japanese | — | 1021 |
| LMArena Korean | — | 1005 |
| LMArena Spanish | — | 1120 |
Instruction Following Gemma 3 4B leads
Gemma 3 4B: 65.4 (#219), Yi-1.5-34B: 59.4 (#252)
| Benchmark | Gemma 3 4B | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1239 | 1139 |
Long Context Gemma 3 4B leads
Gemma 3 4B: 38.6 (#189), Yi-1.5-34B: 34.6 (#243)
| Benchmark | Gemma 3 4B | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1274 | 1144 |
Writing & Preference Gemma 3 4B leads
Gemma 3 4B: 42.2 (#234), Yi-1.5-34B: 37.6 (#252)
| Benchmark | Gemma 3 4B | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1291 | 1173 |
| LMArena Creative Writing | 1270 | 1135 |
| LMArena Multi-Turn | 1255 | 1153 |
| EQ-Bench Creative Writing | 1068 | — |
Frequently asked questions
Is Gemma 3 4B better than Yi-1.5-34B?
Yi-1.5-34B is the stronger model overall, scoring 30.2 to 27.9 on the Noometry Index.
Is Gemma 3 4B or Yi-1.5-34B better for coding?
Gemma 3 4B scores higher on coding benchmarks: 35.3 versus 31.9 in the Noometry coding category.
How many benchmarks do Gemma 3 4B and Yi-1.5-34B share?
13 benchmarks have published results for both models. Gemma 3 4B has 22 scored results on Noometry and Yi-1.5-34B has 21.