Model comparison
Gemma 3 4B vs Wizardlm 13b
Wizardlm 13b is the stronger model overall, scoring 31.4 to 28.1 on the Noometry Index.
Last verified . 9 shared benchmarks.
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MicrosoftSummary
- They share 9 benchmarks with published results for both. Gemma 3 4B scores higher in 5 categories and Wizardlm 13b in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Gemma 3 4B leads 42.5 to 27.1.
Side by side
| Gemma 3 4B | Wizardlm 13b | |
|---|---|---|
| Provider | Microsoft | |
| Noometry Index | 28.1 | 31.4 |
| Released | 2025-03-12 | — |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.04 | — |
| Output $ / M tokens | $0.08 | — |
| Results tracked | 22 | 10 |
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Category by category
Coding Gemma 3 4B leads
Gemma 3 4B: 35.9 (#215), Wizardlm 13b: 30.1 (#298)
| Benchmark | Gemma 3 4B | Wizardlm 13b |
|---|---|---|
| LMArena Coding | 1230 | 1035 |
Agentic & Tool Use Not comparable
Gemma 3 4B: 20.9 (#142), Wizardlm 13b: —
| Benchmark | Gemma 3 4B | Wizardlm 13b |
|---|---|---|
| Berkeley Function Calling Leaderboard | 19.6% | — |
Reasoning Wizardlm 13b leads
Gemma 3 4B: 13.2 (#335), Wizardlm 13b: 19.4 (#259)
| Benchmark | Gemma 3 4B | Wizardlm 13b |
|---|---|---|
| LMArena Hard Prompts | 1253 | 1018 |
| Kagi LLM Benchmark | 25.2% | — |
| Chess Puzzles | 0% | — |
| DTBench | 50.9% | — |
| LMCA | 2.8% | — |
| Epoch Capabilities Index | 116.02 | — |
Math Wizardlm 13b leads
Gemma 3 4B: 16.8 (#292), Wizardlm 13b: 30.2 (#238)
| Benchmark | Gemma 3 4B | Wizardlm 13b |
|---|---|---|
| LMArena Math | 1239 | 1017 |
| OTIS Mock AIME 2024-2025 | 7.5% | — |
Knowledge Not comparable
Gemma 3 4B: 11.8 (#299), Wizardlm 13b: —
| Benchmark | Gemma 3 4B | Wizardlm 13b |
|---|---|---|
| GPQA Diamond | 23.2% | — |
| Vectara Hallucination Rate | 6.4% | — |
| LMArena Expert | 1223 | — |
Multilingual Gemma 3 4B leads
Gemma 3 4B: 42.5 (#194), Wizardlm 13b: 27.1 (#277)
| Benchmark | Gemma 3 4B | Wizardlm 13b |
|---|---|---|
| LMArena Non-English | 1273 | 1034 |
| LMArena Chinese | — | 1023 |
| LMArena German | 1281 | — |
| LMArena Russian | 1294 | — |
Instruction Following Gemma 3 4B leads
Gemma 3 4B: 65.2 (#225), Wizardlm 13b: 53.5 (#285)
| Benchmark | Gemma 3 4B | Wizardlm 13b |
|---|---|---|
| LMArena Instruction Following | 1239 | 1048 |
Long Context Gemma 3 4B leads
Gemma 3 4B: 38.7 (#194), Wizardlm 13b: 32.0 (#273)
| Benchmark | Gemma 3 4B | Wizardlm 13b |
|---|---|---|
| LMArena Longer Query | 1273 | 1054 |
Writing & Preference Gemma 3 4B leads
Gemma 3 4B: 42.0 (#239), Wizardlm 13b: 30.5 (#287)
| Benchmark | Gemma 3 4B | Wizardlm 13b |
|---|---|---|
| LMArena Text | 1291 | 1077 |
| LMArena Creative Writing | 1271 | 1091 |
| LMArena Multi-Turn | 1255 | 1047 |
| EQ-Bench Creative Writing | 1068 | — |
Frequently asked questions
Is Gemma 3 4B better than Wizardlm 13b?
Wizardlm 13b is the stronger model overall, scoring 31.4 to 28.1 on the Noometry Index.
Is Gemma 3 4B or Wizardlm 13b better for coding?
Gemma 3 4B scores higher on coding benchmarks: 35.9 versus 30.1 in the Noometry coding category.
How many benchmarks do Gemma 3 4B and Wizardlm 13b share?
9 benchmarks have published results for both models. Gemma 3 4B has 22 scored results on Noometry and Wizardlm 13b has 10.