Model comparison
Gemini 3.1 Pro Preview vs Llama 3.1 Nemotron 70b Instruct
Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 37.6 on the Noometry Index.
Last verified . 12 shared benchmarks.
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NVIDIASummary
- They share 12 benchmarks with published results for both. Gemini 3.1 Pro Preview scores higher in 8 categories and Llama 3.1 Nemotron 70b Instruct in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.1 Pro Preview leads 71.7 to 25.0.
- Llama 3.1 Nemotron 70b Instruct has downloadable open weights; the other is API-only.
Side by side
| Gemini 3.1 Pro Preview | Llama 3.1 Nemotron 70b Instruct | |
|---|---|---|
| Provider | NVIDIA | |
| Noometry Index | 56.7 | 37.6 |
| Released | 2026-02-19 | 2024-12-18 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 66K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $12 | — |
| Results tracked | 71 | 14 |
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Category by category
Coding Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 42.5 (#99), Llama 3.1 Nemotron 70b Instruct: 35.9 (#216)
| Benchmark | Gemini 3.1 Pro Preview | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Coding | 1484 | 1272 |
| SWE-bench Verified | 75.6% | — |
| DeepSWE | 11.7% | — |
| LMArena WebDev | 1447 | — |
| SciCode | 58.9% | — |
| GSO | 22.6% | — |
| WeirdML | 72.1% | — |
| BigCodeBench Instruct | — | 38.7% |
| MirrorCode | 8.9% | — |
| BigCodeBench Complete | — | 48.2% |
| ALE-Bench | 1,161 | — |
| AlgoTune | 2.02 | — |
Agentic & Tool Use Not comparable
Gemini 3.1 Pro Preview: 37.7 (#34), Llama 3.1 Nemotron 70b Instruct: —
| Benchmark | Gemini 3.1 Pro Preview | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| Terminal-Bench | 80.2% | — |
| APEX-Agents | 35.3% | — |
| τ²-bench Banking | 26% | — |
| DeepResearch Bench | 47.8% | — |
| PostTrainBench | 22% | — |
| BALROG | 57% | — |
| ExploitBench | 26.1% | — |
| GBAEval | 0.8% | — |
| GDP.pdf | 17% | — |
| LMArena Search | 1211 | — |
| METR Time Horizons | 77% | — |
| Vending-Bench 2 | 3,774 | — |
Reasoning Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 71.7 (#12), Llama 3.1 Nemotron 70b Instruct: 25.0 (#152)
| Benchmark | Gemini 3.1 Pro Preview | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1485 | 1266 |
| ARC-AGI-2 | 77.1% | — |
| SimpleBench | 79.6% | — |
| NYT Connections (extended) | 97.4% | — |
| ARC-AGI-1 | 98% | — |
| CritPt | 17.7% | — |
| Chess Puzzles | 55% | — |
| EnigmaEval | 36.8% | — |
| Thematic Generalization | 79.4% | — |
| EBR-Bench | 14.3% | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 97.1% | — |
| LMCA | 53.8% | — |
| Epoch Capabilities Index | 154.77 | — |
| ForecastBench | 59 | — |
Math Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 62.1 (#34), Llama 3.1 Nemotron 70b Instruct: 35.5 (#182)
| Benchmark | Gemini 3.1 Pro Preview | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Math | 1485 | 1271 |
| FrontierMath (Tiers 1-3) | 59.6% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 86.5% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| ProofBench | 26% | — |
| FrontierMath (Feb 2025 set) | 36.9% | — |
| FrontierMath Tier 4 (v1) | 16.7% | — |
Knowledge Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 71.8 (#3), Llama 3.1 Nemotron 70b Instruct: 34.1 (#199)
| Benchmark | Gemini 3.1 Pro Preview | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Expert | 1485 | 1242 |
| GPQA Diamond | 94.4% | — |
| Humanity's Last Exam | 46.4% | — |
| SimpleQA Verified | 73.5% | — |
| Vectara Hallucination Rate | 10.4% | — |
Multimodal Not comparable
Gemini 3.1 Pro Preview: 37.9 (#69), Llama 3.1 Nemotron 70b Instruct: —
| Benchmark | Gemini 3.1 Pro Preview | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Vision | 1296 | — |
| Blueprint-Bench 2 | 26.5% | — |
| Furniture Assembly | 26.7% | — |
| LMArena Document | 1444 | — |
Multilingual Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 57.0 (#12), Llama 3.1 Nemotron 70b Instruct: 40.5 (#217)
| Benchmark | Gemini 3.1 Pro Preview | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Non-English | 1477 | 1245 |
| LMArena Chinese | 1529 | 1263 |
| LMArena Russian | 1498 | 1227 |
| LMArena French | 1487 | — |
| LMArena German | 1491 | — |
| LMArena Japanese | 1493 | — |
| LMArena Korean | 1455 | — |
| LMArena Spanish | 1479 | — |
Instruction Following Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 77.0 (#32), Llama 3.1 Nemotron 70b Instruct: 65.9 (#213)
| Benchmark | Gemini 3.1 Pro Preview | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Instruction Following | 1466 | 1252 |
Long Context Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 47.4 (#18), Llama 3.1 Nemotron 70b Instruct: 37.6 (#215)
| Benchmark | Gemini 3.1 Pro Preview | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Longer Query | 1483 | 1238 |
| CL-bench | 20.8% | — |
| CL-bench Life | 16.9% | — |
Writing & Preference Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 66.1 (#37), Llama 3.1 Nemotron 70b Instruct: 48.4 (#203)
| Benchmark | Gemini 3.1 Pro Preview | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Text | 1481 | 1283 |
| LMArena Creative Writing | 1482 | 1269 |
| LMArena Multi-Turn | 1488 | 1275 |
| EQ-Bench Creative Writing | 1491 | — |
| EQ-Bench 4 | 1142 | — |
Frequently asked questions
Is Gemini 3.1 Pro Preview better than Llama 3.1 Nemotron 70b Instruct?
Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 37.6 on the Noometry Index.
Is Gemini 3.1 Pro Preview or Llama 3.1 Nemotron 70b Instruct better for coding?
Gemini 3.1 Pro Preview scores higher on coding benchmarks: 42.5 versus 35.9 in the Noometry coding category.
How many benchmarks do Gemini 3.1 Pro Preview and Llama 3.1 Nemotron 70b Instruct share?
12 benchmarks have published results for both models. Gemini 3.1 Pro Preview has 71 scored results on Noometry and Llama 3.1 Nemotron 70b Instruct has 14.