Model comparison
Gemini 3.1 Pro Preview vs Llama 3.2 1B
Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 20.1 on the Noometry Index. Llama 3.2 1B costs 64× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. Gemini 3.1 Pro Preview scores higher in 9 categories and Llama 3.2 1B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 3.1 Pro Preview leads 71.8 to 7.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 95.6% for Gemini 3.1 Pro Preview and 0.6% for Llama 3.2 1B.
- Llama 3.2 1B is cheaper at $0.027 / $0.20 per million input/output tokens, against $2 / $12 for Gemini 3.1 Pro Preview.
- Gemini 3.1 Pro Preview accepts more context: 1.05M tokens versus 60K.
- Llama 3.2 1B has downloadable open weights; the other is API-only.
Side by side
| Gemini 3.1 Pro Preview | Llama 3.2 1B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 56.7 | 20.1 |
| Released | 2026-02-19 | 2024-09-24 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 60K |
| Max output | 66K | 54K |
| Input $ / M tokens | $2 | $0.027 |
| Output $ / M tokens | $12 | $0.20 |
| Results tracked | 71 | 22 |
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Category by category
Coding Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 42.5 (#99), Llama 3.2 1B: 21.1 (#338)
| Benchmark | Gemini 3.1 Pro Preview | Llama 3.2 1B |
|---|---|---|
| LMArena Coding | 1484 | 1070 |
| SWE-bench Verified | 75.6% | — |
| DeepSWE | 11.7% | — |
| LMArena WebDev | 1447 | — |
| SciCode | 58.9% | — |
| GSO | 22.6% | — |
| WeirdML | 72.1% | — |
| BigCodeBench Instruct | — | 8.2% |
| MirrorCode | 8.9% | — |
| BigCodeBench Complete | — | 11.3% |
| ALE-Bench | 1,161 | — |
| AlgoTune | 2.02 | — |
Agentic & Tool Use Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 37.7 (#34), Llama 3.2 1B: 14.6 (#150)
| Benchmark | Gemini 3.1 Pro Preview | Llama 3.2 1B |
|---|---|---|
| BALROG | 57% | 6.6% |
| Terminal-Bench | 80.2% | — |
| APEX-Agents | 35.3% | — |
| Berkeley Function Calling Leaderboard | — | 10.8% |
| τ²-bench Banking | 26% | — |
| DeepResearch Bench | 47.8% | — |
| PostTrainBench | 22% | — |
| 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 3.2 1B: 16.2 (#308)
| Benchmark | Gemini 3.1 Pro Preview | Llama 3.2 1B |
|---|---|---|
| Chess Puzzles | 55% | 0% |
| LMArena Hard Prompts | 1485 | 1044 |
| Epoch Capabilities Index | 154.77 | 101.99 |
| ARC-AGI-2 | 77.1% | — |
| SimpleBench | 79.6% | — |
| NYT Connections (extended) | 97.4% | — |
| ARC-AGI-1 | 98% | — |
| CritPt | 17.7% | — |
| EnigmaEval | 36.8% | — |
| Thematic Generalization | 79.4% | — |
| EBR-Bench | 14.3% | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 97.1% | — |
| LMCA | 53.8% | — |
| ForecastBench | 59 | — |
Math Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 62.1 (#34), Llama 3.2 1B: 10.4 (#313)
| Benchmark | Gemini 3.1 Pro Preview | Llama 3.2 1B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 95.6% | 0.6% |
| LMArena Math | 1485 | 1086 |
| FrontierMath (Tiers 1-3) | 59.6% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 86.5% | — |
| 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 3.2 1B: 7.2 (#312)
| Benchmark | Gemini 3.1 Pro Preview | Llama 3.2 1B |
|---|---|---|
| GPQA Diamond | 94.4% | 23.9% |
| LMArena Expert | 1485 | 1007 |
| 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 3.2 1B: —
| Benchmark | Gemini 3.1 Pro Preview | Llama 3.2 1B |
|---|---|---|
| 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 3.2 1B: 23.8 (#292)
| Benchmark | Gemini 3.1 Pro Preview | Llama 3.2 1B |
|---|---|---|
| LMArena Non-English | 1477 | 973 |
| LMArena Chinese | 1529 | 959 |
| LMArena German | 1491 | 1014 |
| LMArena Russian | 1498 | 941 |
| LMArena French | 1487 | — |
| 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 3.2 1B: 52.4 (#290)
| Benchmark | Gemini 3.1 Pro Preview | Llama 3.2 1B |
|---|---|---|
| LMArena Instruction Following | 1466 | 1031 |
Long Context Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 47.4 (#18), Llama 3.2 1B: 31.9 (#274)
| Benchmark | Gemini 3.1 Pro Preview | Llama 3.2 1B |
|---|---|---|
| LMArena Longer Query | 1483 | 1050 |
| 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 3.2 1B: 21.3 (#310)
| Benchmark | Gemini 3.1 Pro Preview | Llama 3.2 1B |
|---|---|---|
| LMArena Text | 1481 | 1055 |
| LMArena Creative Writing | 1482 | 1033 |
| EQ-Bench Creative Writing | 1491 | 200 |
| LMArena Multi-Turn | 1488 | 1030 |
| EQ-Bench 4 | 1142 | — |
Frequently asked questions
Is Gemini 3.1 Pro Preview better than Llama 3.2 1B?
Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 20.1 on the Noometry Index. Llama 3.2 1B costs 64× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.
Which is cheaper, Gemini 3.1 Pro Preview 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; Gemini 3.1 Pro Preview lists at $2 and $12.
Is Gemini 3.1 Pro Preview or Llama 3.2 1B better for coding?
Gemini 3.1 Pro Preview scores higher on coding benchmarks: 42.5 versus 21.1 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.1 Pro Preview does, with 1.05M tokens against 60K.
How many benchmarks do Gemini 3.1 Pro Preview and Llama 3.2 1B share?
19 benchmarks have published results for both models. Gemini 3.1 Pro Preview has 71 scored results on Noometry and Llama 3.2 1B has 22.