Model comparison
Gemma 4 31B IT vs Nvidia Llama 3.3 Nemotron Super 49b v1.5
Gemma 4 31B IT is the stronger model overall, scoring 43.5 to 40.3 on the Noometry Index.
Last verified . 11 shared benchmarks.
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NVIDIASummary
- They share 11 benchmarks with published results for both. Gemma 4 31B IT scores higher in 8 categories and Nvidia Llama 3.3 Nemotron Super 49b v1.5 in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Gemma 4 31B IT leads 53.8 to 45.5.
- Gemma 4 31B IT is cheaper at $0.09 / $0.34 per million input/output tokens, against $0.40 / $0.40 for Nvidia Llama 3.3 Nemotron Super 49b v1.5.
- Gemma 4 31B IT accepts more context: 262K tokens versus 131K.
Side by side
| Gemma 4 31B IT | Nvidia Llama 3.3 Nemotron Super 49b v1.5 | |
|---|---|---|
| Provider | NVIDIA | |
| Noometry Index | 43.5 | 40.3 |
| Released | 2026-04-02 | 2025-07-25 |
| Weights | Open | Open |
| Context window | 262K | 131K |
| Max output | 33K | 131K |
| Input $ / M tokens | $0.09 | $0.40 |
| Output $ / M tokens | $0.34 | $0.40 |
| Results tracked | 35 | 12 |
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Category by category
Coding Gemma 4 31B IT leads
Gemma 4 31B IT: 42.3 (#108), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 39.8 (#154)
| Benchmark | Gemma 4 31B IT | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Coding | 1459 | 1355 |
| LMArena WebDev | 1366 | — |
| SciCode | 43.4% | — |
| WeirdML | 52.3% | — |
| ALE-Bench | 925.5 | — |
Reasoning Too close to call
Gemma 4 31B IT: 27.2 (#122), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 26.8 (#128)
| Benchmark | Gemma 4 31B IT | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Hard Prompts | 1448 | 1336 |
| 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% | — |
| Epoch Capabilities Index | 142.74 | — |
Math Gemma 4 31B IT leads
Gemma 4 31B IT: 43.2 (#81), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 38.2 (#141)
| Benchmark | Gemma 4 31B IT | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Math | 1465 | 1392 |
| OTIS Mock AIME 2024-2025 | 73.3% | — |
Knowledge Gemma 4 31B IT leads
Gemma 4 31B IT: 37.9 (#151), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 36.7 (#165)
| Benchmark | Gemma 4 31B IT | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Expert | 1465 | 1330 |
| GPQA Diamond | 75.8% | — |
| SimpleQA Verified | 10.4% | — |
| Vectara Hallucination Rate | 7.4% | — |
Multimodal Not comparable
Gemma 4 31B IT: 41.6 (#34), Nvidia Llama 3.3 Nemotron Super 49b v1.5: —
| Benchmark | Gemma 4 31B IT | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Vision | 1277 | — |
| LMArena Document | 1425 | — |
Multilingual Gemma 4 31B IT leads
Gemma 4 31B IT: 53.8 (#57), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 45.5 (#168)
| Benchmark | Gemma 4 31B IT | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Non-English | 1431 | 1316 |
| LMArena Russian | 1460 | 1332 |
| LMArena Chinese | 1476 | — |
| LMArena French | 1435 | — |
| LMArena Japanese | — | 1300 |
| LMArena Spanish | 1444 | — |
Instruction Following Gemma 4 31B IT leads
Gemma 4 31B IT: 75.5 (#61), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 68.6 (#188)
| Benchmark | Gemma 4 31B IT | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Instruction Following | 1433 | 1299 |
Long Context Gemma 4 31B IT leads
Gemma 4 31B IT: 44.2 (#71), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 40.0 (#164)
| Benchmark | Gemma 4 31B IT | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Longer Query | 1446 | 1315 |
Writing & Preference Gemma 4 31B IT leads
Gemma 4 31B IT: 60.5 (#96), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 53.1 (#159)
| Benchmark | Gemma 4 31B IT | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Text | 1443 | 1338 |
| LMArena Creative Writing | 1415 | 1307 |
| LMArena Multi-Turn | 1452 | 1334 |
| EQ-Bench Creative Writing | 1368 | — |
| EQ-Bench 4 | 1120 | — |
Frequently asked questions
Is Gemma 4 31B IT better than Nvidia Llama 3.3 Nemotron Super 49b v1.5?
Gemma 4 31B IT is the stronger model overall, scoring 43.5 to 40.3 on the Noometry Index.
Which is cheaper, Gemma 4 31B IT or Nvidia Llama 3.3 Nemotron Super 49b v1.5?
Gemma 4 31B IT is cheaper. It lists at $0.09 per million input tokens and $0.34 per million output tokens; Nvidia Llama 3.3 Nemotron Super 49b v1.5 lists at $0.40 and $0.40.
Is Gemma 4 31B IT or Nvidia Llama 3.3 Nemotron Super 49b v1.5 better for coding?
Gemma 4 31B IT scores higher on coding benchmarks: 42.3 versus 39.8 in the Noometry coding category.
Which has the bigger context window?
Gemma 4 31B IT does, with 262K tokens against 131K.
How many benchmarks do Gemma 4 31B IT and Nvidia Llama 3.3 Nemotron Super 49b v1.5 share?
11 benchmarks have published results for both models. Gemma 4 31B IT has 35 scored results on Noometry and Nvidia Llama 3.3 Nemotron Super 49b v1.5 has 12.