Model comparison
Gemma 3 12B vs Nvidia Llama 3.3 Nemotron Super 49b v1.5
Nvidia Llama 3.3 Nemotron Super 49b v1.5 is the stronger model overall, scoring 40.3 to 32.1 on the Noometry Index. Gemma 3 12B costs 5.3× less per token, which makes it the better buy when Nvidia Llama 3.3 Nemotron Super 49b v1.5's lead doesn't matter for your workload.
Last verified . 11 shared benchmarks.
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NVIDIASummary
- They share 11 benchmarks with published results for both. Gemma 3 12B scores higher in 3 categories and Nvidia Llama 3.3 Nemotron Super 49b v1.5 in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads 38.2 to 22.3.
- Gemma 3 12B is cheaper at $0.05 / $0.15 per million input/output tokens, against $0.40 / $0.40 for Nvidia Llama 3.3 Nemotron Super 49b v1.5.
Side by side
| Gemma 3 12B | Nvidia Llama 3.3 Nemotron Super 49b v1.5 | |
|---|---|---|
| Provider | NVIDIA | |
| Noometry Index | 32.1 | 40.3 |
| Released | 2025-03-12 | 2025-07-25 |
| Weights | Open | Open |
| Context window | 131K | 131K |
| Max output | 8K | 131K |
| Input $ / M tokens | $0.05 | $0.40 |
| Output $ / M tokens | $0.15 | $0.40 |
| Results tracked | 24 | 12 |
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Category by category
Coding Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Gemma 3 12B: 31.7 (#280), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 39.8 (#154)
| Benchmark | Gemma 3 12B | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Coding | 1281 | 1355 |
| SciCode | 17.4% | — |
Agentic & Tool Use Not comparable
Gemma 3 12B: 25.5 (#108), Nvidia Llama 3.3 Nemotron Super 49b v1.5: —
| Benchmark | Gemma 3 12B | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 30.4% | — |
Reasoning Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Gemma 3 12B: 15.7 (#313), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 26.8 (#128)
| Benchmark | Gemma 3 12B | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Hard Prompts | 1309 | 1336 |
| CritPt | 0% | — |
| Chess Puzzles | 0% | — |
| DTBench | 48.8% | — |
| LMCA | 4.5% | — |
| Epoch Capabilities Index | 123.5 | — |
Math Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Gemma 3 12B: 22.3 (#279), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 38.2 (#141)
| Benchmark | Gemma 3 12B | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Math | 1307 | 1392 |
| OTIS Mock AIME 2024-2025 | 16.7% | — |
Knowledge Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Gemma 3 12B: 26.5 (#257), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 36.7 (#165)
| Benchmark | Gemma 3 12B | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Expert | 1248 | 1330 |
| GPQA Diamond | 39.5% | — |
| Vectara Hallucination Rate | 4.4% | — |
Multimodal Not comparable
Gemma 3 12B: —, Nvidia Llama 3.3 Nemotron Super 49b v1.5: —
| Benchmark | Gemma 3 12B | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| MindCube | 46.7% | — |
Multilingual Too close to call
Gemma 3 12B: 45.7 (#165), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 45.5 (#168)
| Benchmark | Gemma 3 12B | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Non-English | 1318 | 1316 |
| LMArena Russian | 1335 | 1332 |
| LMArena German | 1370 | — |
| LMArena Japanese | — | 1300 |
Instruction Following Too close to call
Gemma 3 12B: 68.6 (#186), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 68.6 (#188)
| Benchmark | Gemma 3 12B | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Instruction Following | 1299 | 1299 |
Long Context Too close to call
Gemma 3 12B: 40.0 (#162), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 40.0 (#164)
| Benchmark | Gemma 3 12B | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Longer Query | 1317 | 1315 |
Writing & Preference Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Gemma 3 12B: 47.5 (#209), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 53.1 (#159)
| Benchmark | Gemma 3 12B | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Text | 1334 | 1338 |
| LMArena Creative Writing | 1331 | 1307 |
| LMArena Multi-Turn | 1334 | 1334 |
| EQ-Bench Creative Writing | 1126 | — |
Frequently asked questions
Is Gemma 3 12B better than Nvidia Llama 3.3 Nemotron Super 49b v1.5?
Nvidia Llama 3.3 Nemotron Super 49b v1.5 is the stronger model overall, scoring 40.3 to 32.1 on the Noometry Index. Gemma 3 12B costs 5.3× less per token, which makes it the better buy when Nvidia Llama 3.3 Nemotron Super 49b v1.5's lead doesn't matter for your workload.
Which is cheaper, Gemma 3 12B or Nvidia Llama 3.3 Nemotron Super 49b v1.5?
Gemma 3 12B is cheaper. It lists at $0.05 per million input tokens and $0.15 per million output tokens; Nvidia Llama 3.3 Nemotron Super 49b v1.5 lists at $0.40 and $0.40.
Is Gemma 3 12B or Nvidia Llama 3.3 Nemotron Super 49b v1.5 better for coding?
Nvidia Llama 3.3 Nemotron Super 49b v1.5 scores higher on coding benchmarks: 39.8 versus 31.7 in the Noometry coding category.
Which has the bigger context window?
Both accept 131K tokens.
How many benchmarks do Gemma 3 12B and Nvidia Llama 3.3 Nemotron Super 49b v1.5 share?
11 benchmarks have published results for both models. Gemma 3 12B has 24 scored results on Noometry and Nvidia Llama 3.3 Nemotron Super 49b v1.5 has 12.