Model comparison
Gemini 4 Argon vs Llama 2-13B
Gemini 4 Argon is the stronger model overall, scoring 56.5 to 29.6 on the Noometry Index.
Last verified . 13 shared benchmarks.
Google
MetaSummary
- They share 13 benchmarks with published results for both. Gemini 4 Argon scores higher in 8 categories and Llama 2-13B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 4 Argon leads 73.9 to 31.1.
- Llama 2-13B has downloadable open weights; the other is API-only.
Side by side
| Gemini 4 Argon | Llama 2-13B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 56.5 | 29.6 |
| Released | 2026-09-30 | 2023-07-18 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 21 | 32 |
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Category by category
Coding Gemini 4 Argon leads
Gemini 4 Argon: 62.0 (#9), Llama 2-13B: 30.9 (#291)
| Benchmark | Gemini 4 Argon | Llama 2-13B |
|---|---|---|
| LMArena Coding | 1550 | 1062 |
| LMArena WebDev | 1678 | — |
| FrontierSWE | 55% | — |
| SciCode | 61.8% | — |
Agentic & Tool Use Not comparable
Gemini 4 Argon: 49.2 (#8), Llama 2-13B: —
| Benchmark | Gemini 4 Argon | Llama 2-13B |
|---|---|---|
| APEX-Agents | 82.2% | — |
| Vending-Bench 2 | 13,718 | — |
Reasoning Gemini 4 Argon leads
Gemini 4 Argon: 44.2 (#47), Llama 2-13B: 12.8 (#337)
| Benchmark | Gemini 4 Argon | Llama 2-13B |
|---|---|---|
| LMArena Hard Prompts | 1548 | 1051 |
| CritPt | 27.1% | — |
| Chess Puzzles | — | 0% |
| DTBench | — | 42.2% |
| BIG-Bench Hard | — | 58.2% |
| Epoch Capabilities Index | — | 106.17 |
| HellaSwag | — | 80.7% |
| LAMBADA | — | 76.5% |
| PIQA | — | 80.8% |
| WinoGrande | — | 72.8% |
Math Gemini 4 Argon leads
Gemini 4 Argon: 73.9 (#17), Llama 2-13B: 31.1 (#229)
| Benchmark | Gemini 4 Argon | Llama 2-13B |
|---|---|---|
| LMArena Math | 1536 | 1065 |
| ProofBench | 99% | — |
| GSM8K | — | 36.9% |
Knowledge Gemini 4 Argon leads
Gemini 4 Argon: 43.9 (#89), Llama 2-13B: 28.1 (#249)
| Benchmark | Gemini 4 Argon | Llama 2-13B |
|---|---|---|
| LMArena Expert | 1553 | 1030 |
| ARC (AI2) Challenge | — | 60.3% |
| BoolQ | — | 82.4% |
| MMLU | — | 55.6% |
| OpenBookQA | — | 57% |
| TriviaQA | — | 79.6% |
Multimodal Not comparable
Gemini 4 Argon: 46.5 (#14), Llama 2-13B: —
| Benchmark | Gemini 4 Argon | Llama 2-13B |
|---|---|---|
| Blueprint-Bench 2 | 54.4% | — |
| ScienceQA | — | 55.8% |
Multilingual Gemini 4 Argon leads
Gemini 4 Argon: 60.3 (#1), Llama 2-13B: 26.5 (#279)
| Benchmark | Gemini 4 Argon | Llama 2-13B |
|---|---|---|
| LMArena Non-English | 1523 | 1024 |
| LMArena Chinese | 1610 | 1001 |
| LMArena Russian | 1537 | 1055 |
| LMArena Spanish | 1497 | 1087 |
| LMArena French | — | 1044 |
| LMArena German | — | 1009 |
| LMArena Japanese | — | 894 |
| LMArena Korean | — | 953 |
Instruction Following Gemini 4 Argon leads
Gemini 4 Argon: 80.1 (#2), Llama 2-13B: 53.3 (#287)
| Benchmark | Gemini 4 Argon | Llama 2-13B |
|---|---|---|
| LMArena Instruction Following | 1538 | 1045 |
Long Context Gemini 4 Argon leads
Gemini 4 Argon: 47.6 (#15), Llama 2-13B: 32.3 (#269)
| Benchmark | Gemini 4 Argon | Llama 2-13B |
|---|---|---|
| LMArena Longer Query | 1549 | 1064 |
Writing & Preference Gemini 4 Argon leads
Gemini 4 Argon: 71.4 (#19), Llama 2-13B: 29.8 (#289)
| Benchmark | Gemini 4 Argon | Llama 2-13B |
|---|---|---|
| LMArena Text | 1534 | 1084 |
| LMArena Creative Writing | 1531 | 1047 |
| LMArena Multi-Turn | 1557 | 1050 |
Frequently asked questions
Is Gemini 4 Argon better than Llama 2-13B?
Gemini 4 Argon is the stronger model overall, scoring 56.5 to 29.6 on the Noometry Index.
Is Gemini 4 Argon or Llama 2-13B better for coding?
Gemini 4 Argon scores higher on coding benchmarks: 62.0 versus 30.9 in the Noometry coding category.
How many benchmarks do Gemini 4 Argon and Llama 2-13B share?
13 benchmarks have published results for both models. Gemini 4 Argon has 21 scored results on Noometry and Llama 2-13B has 32.