Model comparison
Gemini 4 Argon vs Llama 3.2 1B
Gemini 4 Argon is the stronger model overall, scoring 56.5 to 20.1 on the Noometry Index.
Last verified . 12 shared benchmarks.
Google
MetaSummary
- They share 12 benchmarks with published results for both. Gemini 4 Argon 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 math, where Gemini 4 Argon leads 73.9 to 10.4.
- Llama 3.2 1B has downloadable open weights; the other is API-only.
Side by side
| Gemini 4 Argon | Llama 3.2 1B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 56.5 | 20.1 |
| Released | 2026-09-30 | 2024-09-24 |
| Weights | Proprietary | Open |
| Context window | — | 60K |
| Max output | — | 54K |
| Input $ / M tokens | — | $0.027 |
| Output $ / M tokens | — | $0.20 |
| Results tracked | 21 | 22 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Gemini 4 Argon leads
Gemini 4 Argon: 62.0 (#9), Llama 3.2 1B: 21.1 (#338)
| Benchmark | Gemini 4 Argon | Llama 3.2 1B |
|---|---|---|
| LMArena Coding | 1550 | 1070 |
| LMArena WebDev | 1678 | — |
| FrontierSWE | 55% | — |
| SciCode | 61.8% | — |
| BigCodeBench Instruct | — | 8.2% |
| BigCodeBench Complete | — | 11.3% |
Agentic & Tool Use Gemini 4 Argon leads
Gemini 4 Argon: 49.2 (#8), Llama 3.2 1B: 14.6 (#150)
| Benchmark | Gemini 4 Argon | Llama 3.2 1B |
|---|---|---|
| APEX-Agents | 82.2% | — |
| Berkeley Function Calling Leaderboard | — | 10.8% |
| BALROG | — | 6.6% |
| Vending-Bench 2 | 13,718 | — |
Reasoning Gemini 4 Argon leads
Gemini 4 Argon: 44.2 (#47), Llama 3.2 1B: 16.2 (#308)
| Benchmark | Gemini 4 Argon | Llama 3.2 1B |
|---|---|---|
| LMArena Hard Prompts | 1548 | 1044 |
| CritPt | 27.1% | — |
| Chess Puzzles | — | 0% |
| Epoch Capabilities Index | — | 101.99 |
Math Gemini 4 Argon leads
Gemini 4 Argon: 73.9 (#17), Llama 3.2 1B: 10.4 (#313)
| Benchmark | Gemini 4 Argon | Llama 3.2 1B |
|---|---|---|
| LMArena Math | 1536 | 1086 |
| OTIS Mock AIME 2024-2025 | — | 0.6% |
| ProofBench | 99% | — |
Knowledge Gemini 4 Argon leads
Gemini 4 Argon: 43.9 (#89), Llama 3.2 1B: 7.2 (#312)
| Benchmark | Gemini 4 Argon | Llama 3.2 1B |
|---|---|---|
| LMArena Expert | 1553 | 1007 |
| GPQA Diamond | — | 23.9% |
Multimodal Not comparable
Gemini 4 Argon: 46.5 (#14), Llama 3.2 1B: —
| Benchmark | Gemini 4 Argon | Llama 3.2 1B |
|---|---|---|
| Blueprint-Bench 2 | 54.4% | — |
Multilingual Gemini 4 Argon leads
Gemini 4 Argon: 60.3 (#1), Llama 3.2 1B: 23.8 (#292)
| Benchmark | Gemini 4 Argon | Llama 3.2 1B |
|---|---|---|
| LMArena Non-English | 1523 | 973 |
| LMArena Chinese | 1610 | 959 |
| LMArena Russian | 1537 | 941 |
| LMArena German | — | 1014 |
| LMArena Spanish | 1497 | — |
Instruction Following Gemini 4 Argon leads
Gemini 4 Argon: 80.1 (#2), Llama 3.2 1B: 52.4 (#290)
| Benchmark | Gemini 4 Argon | Llama 3.2 1B |
|---|---|---|
| LMArena Instruction Following | 1538 | 1031 |
Long Context Gemini 4 Argon leads
Gemini 4 Argon: 47.6 (#15), Llama 3.2 1B: 31.9 (#274)
| Benchmark | Gemini 4 Argon | Llama 3.2 1B |
|---|---|---|
| LMArena Longer Query | 1549 | 1050 |
Writing & Preference Gemini 4 Argon leads
Gemini 4 Argon: 71.4 (#19), Llama 3.2 1B: 21.3 (#310)
| Benchmark | Gemini 4 Argon | Llama 3.2 1B |
|---|---|---|
| LMArena Text | 1534 | 1055 |
| LMArena Creative Writing | 1531 | 1033 |
| LMArena Multi-Turn | 1557 | 1030 |
| EQ-Bench Creative Writing | — | 200 |
Frequently asked questions
Is Gemini 4 Argon better than Llama 3.2 1B?
Gemini 4 Argon is the stronger model overall, scoring 56.5 to 20.1 on the Noometry Index.
Is Gemini 4 Argon or Llama 3.2 1B better for coding?
Gemini 4 Argon scores higher on coding benchmarks: 62.0 versus 21.1 in the Noometry coding category.
How many benchmarks do Gemini 4 Argon and Llama 3.2 1B share?
12 benchmarks have published results for both models. Gemini 4 Argon has 21 scored results on Noometry and Llama 3.2 1B has 22.