Model comparison
Gemini 3.6 Flash vs Llama 2-7B
Gemini 3.6 Flash is the stronger model overall, scoring 54.1 to 28.6 on the Noometry Index.
Last verified . 17 shared benchmarks.
Google
MetaSummary
- They share 17 benchmarks with published results for both. Gemini 3.6 Flash scores higher in 8 categories and Llama 2-7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.6 Flash leads 58.9 to 15.1.
- The biggest single-benchmark swing is Chess Puzzles: 43% for Gemini 3.6 Flash and 0% for Llama 2-7B.
- Llama 2-7B has downloadable open weights; the other is API-only.
Side by side
| Gemini 3.6 Flash | Llama 2-7B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 54.1 | 28.6 |
| Released | 2026-07-21 | 2023-07-18 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 66K | — |
| Input $ / M tokens | $0.75 | — |
| Output $ / M tokens | $3.75 | — |
| Results tracked | 46 | 29 |
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Category by category
Coding Gemini 3.6 Flash leads
Gemini 3.6 Flash: 49.6 (#45), Llama 2-7B: 28.7 (#302)
| Benchmark | Gemini 3.6 Flash | Llama 2-7B |
|---|---|---|
| LMArena Coding | 1492 | 1002 |
| DeepSWE | 46.7% | — |
| FrontierCode | 34.4% | — |
| LMArena WebDev | 1536 | — |
| SciCode | 52.7% | — |
| WeirdML | 56.1% | — |
| ALE-Bench | 715.52 | — |
Agentic & Tool Use Not comparable
Gemini 3.6 Flash: 32.4 (#56), Llama 2-7B: —
| Benchmark | Gemini 3.6 Flash | Llama 2-7B |
|---|---|---|
| APEX-Agents | 46.9% | — |
| GDP.pdf | 14% | — |
Reasoning Gemini 3.6 Flash leads
Gemini 3.6 Flash: 58.9 (#20), Llama 2-7B: 15.1 (#309)
| Benchmark | Gemini 3.6 Flash | Llama 2-7B |
|---|---|---|
| Chess Puzzles | 43% | 0% |
| LMArena Hard Prompts | 1486 | 1009 |
| Epoch Capabilities Index | 154.36 | 98.54 |
| ARC-AGI-2 | 60.4% | — |
| NYT Connections (extended) | 89% | — |
| ARC-AGI-1 | 91.2% | — |
| CritPt | 10.6% | — |
| Mystery Game Puzzles | 30% | — |
| DTBench | 95.5% | — |
| LMCA | 44.9% | — |
| BIG-Bench Hard | — | 39.2% |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |
Math Gemini 3.6 Flash leads
Gemini 3.6 Flash: 57.0 (#33), Llama 2-7B: 28.2 (#231)
| Benchmark | Gemini 3.6 Flash | Llama 2-7B |
|---|---|---|
| LMArena Math | 1504 | 1042 |
| FrontierMath (Tiers 1-3) | 58.9% | — |
| FrontierMath Tier 4 | 22% | — |
| MathArena Final-Answer Competitions | 70.8% | — |
| OTIS Mock AIME 2024-2025 | 94.2% | — |
| ProofBench | 36% | — |
| GSM8K | — | 16.7% |
Knowledge Gemini 3.6 Flash leads
Gemini 3.6 Flash: 67.8 (#7), Llama 2-7B: 27.7 (#243)
| Benchmark | Gemini 3.6 Flash | Llama 2-7B |
|---|---|---|
| LMArena Expert | 1489 | 1036 |
| GPQA Diamond | 94.1% | — |
| SimpleQA Verified | 66.2% | — |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| MMLU | — | 45.8% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |
Multimodal Not comparable
Gemini 3.6 Flash: 38.7 (#55), Llama 2-7B: —
| Benchmark | Gemini 3.6 Flash | Llama 2-7B |
|---|---|---|
| LMArena Vision | 1297 | — |
| Blueprint-Bench 2 | 31.2% | — |
| Furniture Assembly | 23.3% | — |
| LMArena Document | 1456 | — |
| ScienceQA | — | 43.1% |
Multilingual Gemini 3.6 Flash leads
Gemini 3.6 Flash: 56.8 (#17), Llama 2-7B: 23.9 (#288)
| Benchmark | Gemini 3.6 Flash | Llama 2-7B |
|---|---|---|
| LMArena Non-English | 1470 | 973 |
| LMArena Chinese | 1530 | 973 |
| LMArena French | 1501 | 969 |
| LMArena German | 1478 | 978 |
| LMArena Russian | 1490 | 995 |
| LMArena Spanish | 1477 | 1007 |
| LMArena Japanese | 1477 | — |
| LMArena Korean | 1435 | — |
Instruction Following Gemini 3.6 Flash leads
Gemini 3.6 Flash: 77.2 (#27), Llama 2-7B: 51.0 (#293)
| Benchmark | Gemini 3.6 Flash | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | 1467 | 1006 |
Long Context Gemini 3.6 Flash leads
Gemini 3.6 Flash: 45.1 (#47), Llama 2-7B: 30.4 (#282)
| Benchmark | Gemini 3.6 Flash | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | 1475 | 999 |
Writing & Preference Gemini 3.6 Flash leads
Gemini 3.6 Flash: 68.3 (#26), Llama 2-7B: 28.1 (#293)
| Benchmark | Gemini 3.6 Flash | Llama 2-7B |
|---|---|---|
| LMArena Text | 1478 | 1053 |
| LMArena Creative Writing | 1464 | 1033 |
| LMArena Multi-Turn | 1481 | 1029 |
| EQ-Bench Creative Writing | 1604 | — |
Frequently asked questions
Is Gemini 3.6 Flash better than Llama 2-7B?
Gemini 3.6 Flash is the stronger model overall, scoring 54.1 to 28.6 on the Noometry Index.
Is Gemini 3.6 Flash or Llama 2-7B better for coding?
Gemini 3.6 Flash scores higher on coding benchmarks: 49.6 versus 28.7 in the Noometry coding category.
How many benchmarks do Gemini 3.6 Flash and Llama 2-7B share?
17 benchmarks have published results for both models. Gemini 3.6 Flash has 46 scored results on Noometry and Llama 2-7B has 29.