Model comparison
Gemini 3.5 Flash vs Llama 2-13B
Gemini 3.5 Flash is the stronger model overall, scoring 54.2 to 29.6 on the Noometry Index.
Last verified . 20 shared benchmarks.
Summary
- They share 20 benchmarks with published results for both. Gemini 3.5 Flash scores higher in 8 categories and Llama 2-13B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.5 Flash leads 62.8 to 12.8.
- The biggest single-benchmark swing is DTBench: 94.7% for Gemini 3.5 Flash and 42.2% for Llama 2-13B.
- Llama 2-13B has downloadable open weights; the other is API-only.
Side by side
| Gemini 3.5 Flash | Llama 2-13B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 54.2 | 29.6 |
| Released | 2026-05-19 | 2023-07-18 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 66K | — |
| Input $ / M tokens | $1.50 | — |
| Output $ / M tokens | $9 | — |
| Results tracked | 54 | 32 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Gemini 3.5 Flash leads
Gemini 3.5 Flash: 49.4 (#49), Llama 2-13B: 30.9 (#291)
| Benchmark | Gemini 3.5 Flash | Llama 2-13B |
|---|---|---|
| LMArena Coding | 1492 | 1062 |
| SWE-bench Verified | 79.3% | — |
| DeepSWE | 37.4% | — |
| LMArena WebDev | 1499 | — |
| SciCode | 53.1% | — |
| WeirdML | 62.6% | — |
| ALE-Bench | 911.02 | — |
Agentic & Tool Use Not comparable
Gemini 3.5 Flash: 24.7 (#114), Llama 2-13B: —
| Benchmark | Gemini 3.5 Flash | Llama 2-13B |
|---|---|---|
| APEX-Agents | 27.5% | — |
| GBAEval | 6.7% | — |
| GDP.pdf | 14% | — |
| Vending-Bench 2 | 5,396 | — |
Reasoning Gemini 3.5 Flash leads
Gemini 3.5 Flash: 62.8 (#18), Llama 2-13B: 12.8 (#337)
| Benchmark | Gemini 3.5 Flash | Llama 2-13B |
|---|---|---|
| Chess Puzzles | 50% | 0% |
| LMArena Hard Prompts | 1488 | 1051 |
| DTBench | 94.7% | 42.2% |
| Epoch Capabilities Index | 154.46 | 106.17 |
| ARC-AGI-2 | 72.1% | — |
| SimpleBench | 76.7% | — |
| NYT Connections (extended) | 92.6% | — |
| ARC-AGI-1 | 92.5% | — |
| CritPt | 13.1% | — |
| EnigmaEval | 25.4% | — |
| EBR-Bench | 4.8% | — |
| Mystery Game Puzzles | 32% | — |
| LMCA | 47.1% | — |
| Surface Evolver Bench | 58.1% | — |
| BIG-Bench Hard | — | 58.2% |
| ForecastBench | 59 | — |
| HellaSwag | — | 80.7% |
| LAMBADA | — | 76.5% |
| PIQA | — | 80.8% |
| WinoGrande | — | 72.8% |
Math Gemini 3.5 Flash leads
Gemini 3.5 Flash: 60.7 (#36), Llama 2-13B: 31.1 (#229)
| Benchmark | Gemini 3.5 Flash | Llama 2-13B |
|---|---|---|
| LMArena Math | 1504 | 1065 |
| FrontierMath (Tiers 1-3) | 62.8% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 76.3% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| ProofBench | 31% | — |
| FrontierMath (Feb 2025 set) | 39% | — |
| FrontierMath Tier 4 (v1) | 14.6% | — |
| GSM8K | — | 36.9% |
Knowledge Gemini 3.5 Flash leads
Gemini 3.5 Flash: 66.3 (#11), Llama 2-13B: 28.1 (#249)
| Benchmark | Gemini 3.5 Flash | Llama 2-13B |
|---|---|---|
| LMArena Expert | 1495 | 1030 |
| GPQA Diamond | 92.8% | — |
| SimpleQA Verified | 66.2% | — |
| ARC (AI2) Challenge | — | 60.3% |
| BoolQ | — | 82.4% |
| MMLU | — | 55.6% |
| OpenBookQA | — | 57% |
| TriviaQA | — | 79.6% |
Multimodal Not comparable
Gemini 3.5 Flash: 45.7 (#15), Llama 2-13B: —
| Benchmark | Gemini 3.5 Flash | Llama 2-13B |
|---|---|---|
| LMArena Vision | 1310 | — |
| Blueprint-Bench 2 | 33.6% | — |
| LMArena Document | 1463 | — |
| ScienceQA | — | 55.8% |
Multilingual Gemini 3.5 Flash leads
Gemini 3.5 Flash: 57.0 (#13), Llama 2-13B: 26.5 (#279)
| Benchmark | Gemini 3.5 Flash | Llama 2-13B |
|---|---|---|
| LMArena Non-English | 1476 | 1024 |
| LMArena Chinese | 1526 | 1001 |
| LMArena French | 1490 | 1044 |
| LMArena German | 1492 | 1009 |
| LMArena Japanese | 1486 | 894 |
| LMArena Korean | 1451 | 953 |
| LMArena Russian | 1493 | 1055 |
| LMArena Spanish | 1480 | 1087 |
Instruction Following Gemini 3.5 Flash leads
Gemini 3.5 Flash: 77.0 (#30), Llama 2-13B: 53.3 (#287)
| Benchmark | Gemini 3.5 Flash | Llama 2-13B |
|---|---|---|
| LMArena Instruction Following | 1467 | 1045 |
Long Context Gemini 3.5 Flash leads
Gemini 3.5 Flash: 45.4 (#38), Llama 2-13B: 32.3 (#269)
| Benchmark | Gemini 3.5 Flash | Llama 2-13B |
|---|---|---|
| LMArena Longer Query | 1482 | 1064 |
Writing & Preference Gemini 3.5 Flash leads
Gemini 3.5 Flash: 65.5 (#47), Llama 2-13B: 29.8 (#289)
| Benchmark | Gemini 3.5 Flash | Llama 2-13B |
|---|---|---|
| LMArena Text | 1482 | 1084 |
| LMArena Creative Writing | 1470 | 1047 |
| LMArena Multi-Turn | 1481 | 1050 |
| EQ-Bench 4 | 1087 | — |
Frequently asked questions
Is Gemini 3.5 Flash better than Llama 2-13B?
Gemini 3.5 Flash is the stronger model overall, scoring 54.2 to 29.6 on the Noometry Index.
Is Gemini 3.5 Flash or Llama 2-13B better for coding?
Gemini 3.5 Flash scores higher on coding benchmarks: 49.4 versus 30.9 in the Noometry coding category.
How many benchmarks do Gemini 3.5 Flash and Llama 2-13B share?
20 benchmarks have published results for both models. Gemini 3.5 Flash has 54 scored results on Noometry and Llama 2-13B has 32.