Model comparison
Gemma 4 31B IT vs Llama 13b
Gemma 4 31B IT is the stronger model overall, scoring 43.5 to 24.4 on the Noometry Index.
Last verified . 9 shared benchmarks.
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MetaSummary
- They share 9 benchmarks with published results for both. Gemma 4 31B IT scores higher in 6 categories and Llama 13b in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemma 4 31B IT leads 60.5 to 13.8.
Side by side
| Gemma 4 31B IT | Llama 13b | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 43.5 | 24.4 |
| Released | 2026-04-02 | 2023-02-24 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 33K | — |
| Input $ / M tokens | $0.09 | — |
| Output $ / M tokens | $0.34 | — |
| Results tracked | 35 | 21 |
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Category by category
Coding Gemma 4 31B IT leads
Gemma 4 31B IT: 42.3 (#108), Llama 13b: 21.4 (#337)
| Benchmark | Gemma 4 31B IT | Llama 13b |
|---|---|---|
| LMArena Coding | 1459 | 683 |
| LMArena WebDev | 1366 | — |
| SciCode | 43.4% | — |
| WeirdML | 52.3% | — |
| ALE-Bench | 925.5 | — |
Reasoning Gemma 4 31B IT leads
Gemma 4 31B IT: 27.2 (#122), Llama 13b: 14.0 (#329)
| Benchmark | Gemma 4 31B IT | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1448 | 728 |
| Epoch Capabilities Index | 142.74 | 100.58 |
| Kagi LLM Benchmark | 63.5% | — |
| NYT Connections (extended) | 70.6% | — |
| CritPt | 1.4% | — |
| Chess Puzzles | 5% | — |
| Thematic Generalization | 53% | — |
| DTBench | 82.7% | — |
| LMCA | 39.3% | — |
| Surface Evolver Bench | 30.6% | — |
| BIG-Bench Hard | — | 37.9% |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |
Math Gemma 4 31B IT leads
Gemma 4 31B IT: 43.2 (#81), Llama 13b: 26.7 (#256)
| Benchmark | Gemma 4 31B IT | Llama 13b |
|---|---|---|
| LMArena Math | 1465 | 838 |
| OTIS Mock AIME 2024-2025 | 73.3% | — |
| GSM8K | — | 20.6% |
Knowledge Not comparable
Gemma 4 31B IT: 37.9 (#151), Llama 13b: —
| Benchmark | Gemma 4 31B IT | Llama 13b |
|---|---|---|
| GPQA Diamond | 75.8% | — |
| SimpleQA Verified | 10.4% | — |
| Vectara Hallucination Rate | 7.4% | — |
| LMArena Expert | 1465 | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |
Multimodal Not comparable
Gemma 4 31B IT: 41.6 (#34), Llama 13b: —
| Benchmark | Gemma 4 31B IT | Llama 13b |
|---|---|---|
| LMArena Vision | 1277 | — |
| LMArena Document | 1425 | — |
| ScienceQA | — | 43.3% |
Multilingual Gemma 4 31B IT leads
Gemma 4 31B IT: 53.8 (#57), Llama 13b: 16.6 (#297)
| Benchmark | Gemma 4 31B IT | Llama 13b |
|---|---|---|
| LMArena Non-English | 1431 | 819 |
| LMArena Chinese | 1476 | — |
| LMArena French | 1435 | — |
| LMArena Russian | 1460 | — |
| LMArena Spanish | 1444 | — |
Instruction Following Gemma 4 31B IT leads
Gemma 4 31B IT: 75.5 (#61), Llama 13b: 36.7 (#305)
| Benchmark | Gemma 4 31B IT | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1433 | 781 |
Long Context Not comparable
Gemma 4 31B IT: 44.2 (#71), Llama 13b: —
| Benchmark | Gemma 4 31B IT | Llama 13b |
|---|---|---|
| LMArena Longer Query | 1446 | — |
Writing & Preference Gemma 4 31B IT leads
Gemma 4 31B IT: 60.5 (#96), Llama 13b: 13.8 (#312)
| Benchmark | Gemma 4 31B IT | Llama 13b |
|---|---|---|
| LMArena Text | 1443 | 834 |
| LMArena Creative Writing | 1415 | 794 |
| LMArena Multi-Turn | 1452 | 753 |
| EQ-Bench Creative Writing | 1368 | — |
| EQ-Bench 4 | 1120 | — |
Frequently asked questions
Is Gemma 4 31B IT better than Llama 13b?
Gemma 4 31B IT is the stronger model overall, scoring 43.5 to 24.4 on the Noometry Index.
Is Gemma 4 31B IT or Llama 13b better for coding?
Gemma 4 31B IT scores higher on coding benchmarks: 42.3 versus 21.4 in the Noometry coding category.
How many benchmarks do Gemma 4 31B IT and Llama 13b share?
9 benchmarks have published results for both models. Gemma 4 31B IT has 35 scored results on Noometry and Llama 13b has 21.