Model comparison
Gemini 4 Argon vs Llama 2-7B
Gemini 4 Argon is the stronger model overall, scoring 56.5 to 29.1 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 2-7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 4 Argon leads 71.4 to 28.0.
- Llama 2-7B has downloadable open weights; the other is API-only.
Side by side
| Gemini 4 Argon | Llama 2-7B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 56.5 | 29.1 |
| Released | 2026-09-30 | 2023-07-18 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 21 | 29 |
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Category by category
Coding Gemini 4 Argon leads
Gemini 4 Argon: 62.0 (#9), Llama 2-7B: 29.2 (#307)
| Benchmark | Gemini 4 Argon | Llama 2-7B |
|---|---|---|
| LMArena Coding | 1550 | 1002 |
| LMArena WebDev | 1678 | — |
| FrontierSWE | 55% | — |
| SciCode | 61.8% | — |
Agentic & Tool Use Not comparable
Gemini 4 Argon: 49.2 (#8), Llama 2-7B: —
| Benchmark | Gemini 4 Argon | Llama 2-7B |
|---|---|---|
| APEX-Agents | 82.2% | — |
| Vending-Bench 2 | 13,718 | — |
Reasoning Gemini 4 Argon leads
Gemini 4 Argon: 44.2 (#47), Llama 2-7B: 15.7 (#312)
| Benchmark | Gemini 4 Argon | Llama 2-7B |
|---|---|---|
| LMArena Hard Prompts | 1548 | 1009 |
| CritPt | 27.1% | — |
| Chess Puzzles | — | 0% |
| BIG-Bench Hard | — | 39.2% |
| Epoch Capabilities Index | — | 99.06 |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |
Math Gemini 4 Argon leads
Gemini 4 Argon: 73.9 (#17), Llama 2-7B: 30.7 (#233)
| Benchmark | Gemini 4 Argon | Llama 2-7B |
|---|---|---|
| LMArena Math | 1536 | 1042 |
| ProofBench | 99% | — |
| GSM8K | — | 16.7% |
Knowledge Gemini 4 Argon leads
Gemini 4 Argon: 43.9 (#89), Llama 2-7B: 28.2 (#248)
| Benchmark | Gemini 4 Argon | Llama 2-7B |
|---|---|---|
| LMArena Expert | 1553 | 1036 |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| MMLU | — | 45.8% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |
Multimodal Not comparable
Gemini 4 Argon: 46.5 (#14), Llama 2-7B: —
| Benchmark | Gemini 4 Argon | Llama 2-7B |
|---|---|---|
| Blueprint-Bench 2 | 54.4% | — |
| ScienceQA | — | 43.1% |
Multilingual Gemini 4 Argon leads
Gemini 4 Argon: 60.3 (#1), Llama 2-7B: 23.8 (#293)
| Benchmark | Gemini 4 Argon | Llama 2-7B |
|---|---|---|
| LMArena Non-English | 1523 | 973 |
| LMArena Chinese | 1610 | 973 |
| LMArena Russian | 1537 | 995 |
| LMArena Spanish | 1497 | 1007 |
| LMArena French | — | 970 |
| LMArena German | — | 978 |
Instruction Following Gemini 4 Argon leads
Gemini 4 Argon: 80.1 (#2), Llama 2-7B: 50.8 (#298)
| Benchmark | Gemini 4 Argon | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | 1538 | 1006 |
Long Context Gemini 4 Argon leads
Gemini 4 Argon: 47.6 (#15), Llama 2-7B: 30.4 (#287)
| Benchmark | Gemini 4 Argon | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | 1549 | 999 |
Writing & Preference Gemini 4 Argon leads
Gemini 4 Argon: 71.4 (#19), Llama 2-7B: 28.0 (#298)
| Benchmark | Gemini 4 Argon | Llama 2-7B |
|---|---|---|
| LMArena Text | 1534 | 1053 |
| LMArena Creative Writing | 1531 | 1033 |
| LMArena Multi-Turn | 1557 | 1029 |
Frequently asked questions
Is Gemini 4 Argon better than Llama 2-7B?
Gemini 4 Argon is the stronger model overall, scoring 56.5 to 29.1 on the Noometry Index.
Is Gemini 4 Argon or Llama 2-7B better for coding?
Gemini 4 Argon scores higher on coding benchmarks: 62.0 versus 29.2 in the Noometry coding category.
How many benchmarks do Gemini 4 Argon and Llama 2-7B share?
13 benchmarks have published results for both models. Gemini 4 Argon has 21 scored results on Noometry and Llama 2-7B has 29.