Model comparison
Gemini 4 Argon vs Llama 3.2 3B
Gemini 4 Argon is the stronger model overall, scoring 56.5 to 28.9 on the Noometry Index.
Last verified . 12 shared benchmarks.
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MetaSummary
- They share 12 benchmarks with published results for both. Gemini 4 Argon scores higher in 9 categories and Llama 3.2 3B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 4 Argon leads 71.4 to 24.7.
- Llama 3.2 3B has downloadable open weights; the other is API-only.
Side by side
| Gemini 4 Argon | Llama 3.2 3B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 56.5 | 28.9 |
| Released | 2026-09-30 | 2024-09-24 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 118K |
| Input $ / M tokens | — | $0.05 |
| Output $ / M tokens | — | $0.33 |
| Results tracked | 21 | 18 |
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Category by category
Coding Gemini 4 Argon leads
Gemini 4 Argon: 62.0 (#9), Llama 3.2 3B: 27.6 (#319)
| Benchmark | Gemini 4 Argon | Llama 3.2 3B |
|---|---|---|
| LMArena Coding | 1550 | 1098 |
| LMArena WebDev | 1678 | — |
| FrontierSWE | 55% | — |
| SciCode | 61.8% | — |
| BigCodeBench Instruct | — | 23.4% |
| BigCodeBench Complete | — | 28.3% |
Agentic & Tool Use Gemini 4 Argon leads
Gemini 4 Argon: 49.2 (#8), Llama 3.2 3B: 20.1 (#143)
| Benchmark | Gemini 4 Argon | Llama 3.2 3B |
|---|---|---|
| APEX-Agents | 82.2% | — |
| Berkeley Function Calling Leaderboard | — | 21.9% |
| BALROG | — | 10.1% |
| Vending-Bench 2 | 13,718 | — |
Reasoning Gemini 4 Argon leads
Gemini 4 Argon: 44.2 (#47), Llama 3.2 3B: 21.0 (#228)
| Benchmark | Gemini 4 Argon | Llama 3.2 3B |
|---|---|---|
| LMArena Hard Prompts | 1548 | 1095 |
| CritPt | 27.1% | — |
Math Gemini 4 Argon leads
Gemini 4 Argon: 73.9 (#17), Llama 3.2 3B: 32.4 (#214)
| Benchmark | Gemini 4 Argon | Llama 3.2 3B |
|---|---|---|
| LMArena Math | 1536 | 1126 |
| ProofBench | 99% | — |
Knowledge Gemini 4 Argon leads
Gemini 4 Argon: 43.9 (#89), Llama 3.2 3B: 29.7 (#235)
| Benchmark | Gemini 4 Argon | Llama 3.2 3B |
|---|---|---|
| LMArena Expert | 1553 | 1090 |
Multimodal Not comparable
Gemini 4 Argon: 46.5 (#14), Llama 3.2 3B: —
| Benchmark | Gemini 4 Argon | Llama 3.2 3B |
|---|---|---|
| Blueprint-Bench 2 | 54.4% | — |
Multilingual Gemini 4 Argon leads
Gemini 4 Argon: 60.3 (#1), Llama 3.2 3B: 26.2 (#281)
| Benchmark | Gemini 4 Argon | Llama 3.2 3B |
|---|---|---|
| LMArena Non-English | 1523 | 1019 |
| LMArena Chinese | 1610 | 1017 |
| LMArena Russian | 1537 | 949 |
| LMArena German | — | 1056 |
| LMArena Spanish | 1497 | — |
Instruction Following Gemini 4 Argon leads
Gemini 4 Argon: 80.1 (#2), Llama 3.2 3B: 56.0 (#275)
| Benchmark | Gemini 4 Argon | Llama 3.2 3B |
|---|---|---|
| LMArena Instruction Following | 1538 | 1089 |
Long Context Gemini 4 Argon leads
Gemini 4 Argon: 47.6 (#15), Llama 3.2 3B: 33.4 (#261)
| Benchmark | Gemini 4 Argon | Llama 3.2 3B |
|---|---|---|
| LMArena Longer Query | 1549 | 1100 |
Writing & Preference Gemini 4 Argon leads
Gemini 4 Argon: 71.4 (#19), Llama 3.2 3B: 24.7 (#307)
| Benchmark | Gemini 4 Argon | Llama 3.2 3B |
|---|---|---|
| LMArena Text | 1534 | 1110 |
| LMArena Creative Writing | 1531 | 1094 |
| LMArena Multi-Turn | 1557 | 1105 |
| EQ-Bench Creative Writing | — | 595 |
Frequently asked questions
Is Gemini 4 Argon better than Llama 3.2 3B?
Gemini 4 Argon is the stronger model overall, scoring 56.5 to 28.9 on the Noometry Index.
Is Gemini 4 Argon or Llama 3.2 3B better for coding?
Gemini 4 Argon scores higher on coding benchmarks: 62.0 versus 27.6 in the Noometry coding category.
How many benchmarks do Gemini 4 Argon and Llama 3.2 3B share?
12 benchmarks have published results for both models. Gemini 4 Argon has 21 scored results on Noometry and Llama 3.2 3B has 18.