Model comparison
Gemini 1.0 Pro vs Llama 2-13B
Llama 2-13B is the stronger model overall, scoring 29.6 to 27.3 on the Noometry Index.
Last verified . 19 shared benchmarks.
Google
MetaSummary
- They share 19 benchmarks with published results for both. Gemini 1.0 Pro scores higher in 6 categories and Llama 2-13B in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Llama 2-13B leads 31.1 to 9.3.
- Llama 2-13B has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.0 Pro | Llama 2-13B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 27.3 | 29.6 |
| Released | 2023-12-13 | 2023-07-18 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 24 | 32 |
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Category by category
Coding Gemini 1.0 Pro leads
Gemini 1.0 Pro: 32.2 (#275), Llama 2-13B: 30.9 (#291)
| Benchmark | Gemini 1.0 Pro | Llama 2-13B |
|---|---|---|
| LMArena Coding | 1108 | 1062 |
| HumanEval+ | 55.5% | — |
| MBPP+ | 61.4% | — |
Reasoning Gemini 1.0 Pro leads
Gemini 1.0 Pro: 17.1 (#296), Llama 2-13B: 12.8 (#337)
| Benchmark | Gemini 1.0 Pro | Llama 2-13B |
|---|---|---|
| LMArena Hard Prompts | 1109 | 1051 |
| DTBench | 45.9% | 42.2% |
| Epoch Capabilities Index | 117.04 | 106.17 |
| Chess Puzzles | — | 0% |
| BIG-Bench Hard | — | 58.2% |
| HellaSwag | — | 80.7% |
| LAMBADA | — | 76.5% |
| PIQA | — | 80.8% |
| WinoGrande | — | 72.8% |
Math Llama 2-13B leads
Gemini 1.0 Pro: 9.3 (#321), Llama 2-13B: 31.1 (#229)
| Benchmark | Gemini 1.0 Pro | Llama 2-13B |
|---|---|---|
| LMArena Math | 1132 | 1065 |
| OTIS Mock AIME 2024-2025 | 1.1% | — |
| MATH Level 5 | 11.2% | — |
| GSM8K | — | 36.9% |
Knowledge Llama 2-13B leads
Gemini 1.0 Pro: 15.6 (#291), Llama 2-13B: 28.1 (#249)
| Benchmark | Gemini 1.0 Pro | Llama 2-13B |
|---|---|---|
| LMArena Expert | 1059 | 1030 |
| MMLU | 70% | 55.6% |
| GPQA Diamond | 34% | — |
| ARC (AI2) Challenge | — | 60.3% |
| BoolQ | — | 82.4% |
| OpenBookQA | — | 57% |
| TriviaQA | — | 79.6% |
Multimodal Not comparable
Gemini 1.0 Pro: —, Llama 2-13B: —
| Benchmark | Gemini 1.0 Pro | Llama 2-13B |
|---|---|---|
| ScienceQA | — | 55.8% |
Multilingual Gemini 1.0 Pro leads
Gemini 1.0 Pro: 33.4 (#252), Llama 2-13B: 26.5 (#279)
| Benchmark | Gemini 1.0 Pro | Llama 2-13B |
|---|---|---|
| LMArena Non-English | 1138 | 1024 |
| LMArena Chinese | 1124 | 1001 |
| LMArena French | 1145 | 1044 |
| LMArena German | 1125 | 1009 |
| LMArena Japanese | 1023 | 894 |
| LMArena Russian | 1186 | 1055 |
| LMArena Spanish | 1119 | 1087 |
| LMArena Korean | — | 953 |
Instruction Following Gemini 1.0 Pro leads
Gemini 1.0 Pro: 57.6 (#267), Llama 2-13B: 53.3 (#287)
| Benchmark | Gemini 1.0 Pro | Llama 2-13B |
|---|---|---|
| LMArena Instruction Following | 1114 | 1045 |
Long Context Gemini 1.0 Pro leads
Gemini 1.0 Pro: 34.3 (#249), Llama 2-13B: 32.3 (#269)
| Benchmark | Gemini 1.0 Pro | Llama 2-13B |
|---|---|---|
| LMArena Longer Query | 1132 | 1064 |
Writing & Preference Gemini 1.0 Pro leads
Gemini 1.0 Pro: 36.0 (#264), Llama 2-13B: 29.8 (#289)
| Benchmark | Gemini 1.0 Pro | Llama 2-13B |
|---|---|---|
| LMArena Text | 1149 | 1084 |
| LMArena Creative Writing | 1131 | 1047 |
| LMArena Multi-Turn | 1139 | 1050 |
Frequently asked questions
Is Gemini 1.0 Pro better than Llama 2-13B?
Llama 2-13B is the stronger model overall, scoring 29.6 to 27.3 on the Noometry Index.
Is Gemini 1.0 Pro or Llama 2-13B better for coding?
Gemini 1.0 Pro scores higher on coding benchmarks: 32.2 versus 30.9 in the Noometry coding category.
How many benchmarks do Gemini 1.0 Pro and Llama 2-13B share?
19 benchmarks have published results for both models. Gemini 1.0 Pro has 24 scored results on Noometry and Llama 2-13B has 32.