Model comparison
Gemma 3 27B vs Llama 3.2 1B
Gemma 3 27B is the stronger model overall, scoring 30.5 to 19.9 on the Noometry Index.
Last verified . 19 shared benchmarks.
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MetaSummary
- They share 19 benchmarks with published results for both. Gemma 3 27B scores higher in 8 categories and Llama 3.2 1B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemma 3 27B leads 52.7 to 21.4.
- The biggest single-benchmark swing is GPQA Diamond: 47.7% for Gemma 3 27B and 23.9% for Llama 3.2 1B.
- Llama 3.2 1B is cheaper at $0.027 / $0.20 per million input/output tokens, against $0.08 / $0.16 for Gemma 3 27B.
- Gemma 3 27B accepts more context: 131K tokens versus 60K.
Side by side
| Gemma 3 27B | Llama 3.2 1B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 30.5 | 19.9 |
| Released | 2025-03-11 | 2024-09-24 |
| Weights | Open | Open |
| Context window | 131K | 60K |
| Max output | 8K | 54K |
| Input $ / M tokens | $0.08 | $0.027 |
| Output $ / M tokens | $0.16 | $0.20 |
| Results tracked | 43 | 22 |
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Category by category
Coding Gemma 3 27B leads
Gemma 3 27B: 22.1 (#329), Llama 3.2 1B: 20.6 (#333)
| Benchmark | Gemma 3 27B | Llama 3.2 1B |
|---|---|---|
| LMArena Coding | 1322 | 1071 |
| Aider Polyglot | 4.9% | — |
| SciCode | 21.2% | — |
| BigCodeBench Instruct | — | 8.2% |
| LiveBench Coding | 39.9% | — |
| BigCodeBench Complete | — | 11.3% |
Agentic & Tool Use Gemma 3 27B leads
Gemma 3 27B: 24.9 (#105), Llama 3.2 1B: 14.5 (#142)
| Benchmark | Gemma 3 27B | Llama 3.2 1B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 29.5% | 10.8% |
| BALROG | — | 6.6% |
Reasoning Too close to call
Gemma 3 27B: 16.3 (#297), Llama 3.2 1B: 15.6 (#304)
| Benchmark | Gemma 3 27B | Llama 3.2 1B |
|---|---|---|
| Chess Puzzles | 0% | 0% |
| LMArena Hard Prompts | 1340 | 1044 |
| Epoch Capabilities Index | 130.04 | 101.95 |
| Kagi LLM Benchmark | 40.4% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | 43.8% | — |
| DTBench | 52.5% | — |
| LiveBench Data Analysis | 51.5% | — |
| LMCA | 12.3% | — |
| LiveBench | 50% | — |
Math Gemma 3 27B leads
Gemma 3 27B: 24.4 (#261), Llama 3.2 1B: 9.7 (#308)
| Benchmark | Gemma 3 27B | Llama 3.2 1B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 22.5% | 0.6% |
| LMArena Math | 1312 | 1086 |
| LiveBench Math | 55.4% | — |
| MATH Level 5 | 74% | — |
Knowledge Gemma 3 27B leads
Gemma 3 27B: 25.4 (#256), Llama 3.2 1B: 7.2 (#307)
| Benchmark | Gemma 3 27B | Llama 3.2 1B |
|---|---|---|
| GPQA Diamond | 47.7% | 23.9% |
| LMArena Expert | 1303 | 1007 |
| Confabulations | 40.3% | — |
| Vectara Hallucination Rate | 7.4% | — |
Multimodal Not comparable
Gemma 3 27B: 32.0 (#94), Llama 3.2 1B: —
| Benchmark | Gemma 3 27B | Llama 3.2 1B |
|---|---|---|
| LMArena Vision | 1165 | — |
| GeoBench | 52% | — |
Multilingual Gemma 3 27B leads
Gemma 3 27B: 47.0 (#150), Llama 3.2 1B: 23.9 (#287)
| Benchmark | Gemma 3 27B | Llama 3.2 1B |
|---|---|---|
| LMArena Non-English | 1334 | 973 |
| LMArena Chinese | 1347 | 958 |
| LMArena German | 1362 | 1014 |
| LMArena Russian | 1349 | 941 |
| LMArena French | 1368 | — |
| LMArena Japanese | 1287 | — |
| LMArena Korean | 1308 | — |
| LMArena Spanish | 1348 | — |
Instruction Following Gemma 3 27B leads
Gemma 3 27B: 70.8 (#155), Llama 3.2 1B: 52.6 (#285)
| Benchmark | Gemma 3 27B | Llama 3.2 1B |
|---|---|---|
| LMArena Instruction Following | 1321 | 1031 |
| LiveBench Instruction Following | 74.9% | — |
Long Context Llama 3.2 1B leads
Gemma 3 27B: 27.6 (#288), Llama 3.2 1B: 31.9 (#269)
| Benchmark | Gemma 3 27B | Llama 3.2 1B |
|---|---|---|
| LMArena Longer Query | 1333 | 1050 |
| Fiction.LiveBench | 33.3% | — |
Writing & Preference Gemma 3 27B leads
Gemma 3 27B: 52.7 (#161), Llama 3.2 1B: 21.4 (#305)
| Benchmark | Gemma 3 27B | Llama 3.2 1B |
|---|---|---|
| LMArena Text | 1358 | 1055 |
| LMArena Creative Writing | 1346 | 1033 |
| EQ-Bench Creative Writing | 1266 | 200 |
| LMArena Multi-Turn | 1344 | 1030 |
| Short-Story Creative Writing | 79.9% | — |
| LiveBench Language | 34.6% | — |
Frequently asked questions
Is Gemma 3 27B better than Llama 3.2 1B?
Gemma 3 27B is the stronger model overall, scoring 30.5 to 19.9 on the Noometry Index.
Which is cheaper, Gemma 3 27B or Llama 3.2 1B?
Llama 3.2 1B is cheaper. It lists at $0.027 per million input tokens and $0.20 per million output tokens; Gemma 3 27B lists at $0.08 and $0.16.
Is Gemma 3 27B or Llama 3.2 1B better for coding?
Gemma 3 27B scores higher on coding benchmarks: 22.1 versus 20.6 in the Noometry coding category.
Which has the bigger context window?
Gemma 3 27B does, with 131K tokens against 60K.
How many benchmarks do Gemma 3 27B and Llama 3.2 1B share?
19 benchmarks have published results for both models. Gemma 3 27B has 43 scored results on Noometry and Llama 3.2 1B has 22.