Model comparison
Gemini 1.0 Pro vs Llama 3.1-8B
Gemini 1.0 Pro is the stronger model overall, scoring 27.1 to 22.8 on the Noometry Index.
Last verified . 24 shared benchmarks.
Summary
- They share 24 benchmarks with published results for both. Gemini 1.0 Pro scores higher in 4 categories and Llama 3.1-8B in 4 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in coding, where Gemini 1.0 Pro leads 31.6 to 19.9.
- The biggest single-benchmark swing is MATH Level 5: 11.2% for Gemini 1.0 Pro and 22.9% for Llama 3.1-8B.
- Llama 3.1-8B has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.0 Pro | Llama 3.1-8B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 27.1 | 22.8 |
| Released | 2023-12-13 | 2024-07-23 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.05 |
| Output $ / M tokens | — | $0.08 |
| Results tracked | 24 | 43 |
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Category by category
Coding Gemini 1.0 Pro leads
Gemini 1.0 Pro: 31.6 (#270), Llama 3.1-8B: 19.9 (#335)
| Benchmark | Gemini 1.0 Pro | Llama 3.1-8B |
|---|---|---|
| LMArena Coding | 1108 | 1195 |
| HumanEval+ | 55.5% | 62.8% |
| MBPP+ | 61.4% | 55.6% |
| SciCode | — | 13.2% |
| WeirdML | — | 1.7% |
| BigCodeBench Instruct | — | 32.8% |
| BigCodeBench Complete | — | 40.5% |
Agentic & Tool Use Not comparable
Gemini 1.0 Pro: —, Llama 3.1-8B: 22.3 (#123)
| Benchmark | Gemini 1.0 Pro | Llama 3.1-8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 25.8% |
| BALROG | — | 15.1% |
Reasoning Gemini 1.0 Pro leads
Gemini 1.0 Pro: 16.4 (#292), Llama 3.1-8B: 14.5 (#316)
| Benchmark | Gemini 1.0 Pro | Llama 3.1-8B |
|---|---|---|
| LMArena Hard Prompts | 1109 | 1175 |
| DTBench | 45.9% | 50.9% |
| Epoch Capabilities Index | 116.97 | 116.48 |
| CritPt | — | 0% |
| Chess Puzzles | — | 0% |
| LMCA | — | 5.4% |
| PIQA | — | 81.2% |
Math Too close to call
Gemini 1.0 Pro: 8.7 (#315), Llama 3.1-8B: 9.5 (#311)
| Benchmark | Gemini 1.0 Pro | Llama 3.1-8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.1% | 1.7% |
| LMArena Math | 1132 | 1179 |
| MATH Level 5 | 11.2% | 22.9% |
| Omni-MATH | — | 13.7% |
| GSM8K | — | 82.4% |
Knowledge Gemini 1.0 Pro leads
Gemini 1.0 Pro: 15.5 (#286), Llama 3.1-8B: 8.0 (#302)
| Benchmark | Gemini 1.0 Pro | Llama 3.1-8B |
|---|---|---|
| GPQA Diamond | 34% | 27% |
| LMArena Expert | 1059 | 1144 |
| MMLU | 70% | 56.1% |
| MMLU-Pro | — | 40.6% |
| GPQA (HELM) | — | 24.7% |
| BoolQ | — | 82.8% |
Multilingual Too close to call
Gemini 1.0 Pro: 33.5 (#247), Llama 3.1-8B: 34.2 (#244)
| Benchmark | Gemini 1.0 Pro | Llama 3.1-8B |
|---|---|---|
| LMArena Non-English | 1138 | 1148 |
| LMArena Chinese | 1124 | 1151 |
| LMArena French | 1144 | 1176 |
| LMArena German | 1125 | 1144 |
| LMArena Japanese | 1023 | 1061 |
| LMArena Russian | 1186 | 1158 |
| LMArena Spanish | 1118 | 1169 |
| LMArena Korean | — | 1053 |
Instruction Following Llama 3.1-8B leads
Gemini 1.0 Pro: 57.9 (#262), Llama 3.1-8B: 59.1 (#253)
| Benchmark | Gemini 1.0 Pro | Llama 3.1-8B |
|---|---|---|
| LMArena Instruction Following | 1114 | 1159 |
| IFEval | — | 74.3% |
Long Context Llama 3.1-8B leads
Gemini 1.0 Pro: 34.3 (#244), Llama 3.1-8B: 35.8 (#233)
| Benchmark | Gemini 1.0 Pro | Llama 3.1-8B |
|---|---|---|
| LMArena Longer Query | 1132 | 1182 |
Writing & Preference Gemini 1.0 Pro leads
Gemini 1.0 Pro: 36.2 (#259), Llama 3.1-8B: 29.9 (#285)
| Benchmark | Gemini 1.0 Pro | Llama 3.1-8B |
|---|---|---|
| LMArena Text | 1149 | 1187 |
| LMArena Creative Writing | 1130 | 1154 |
| LMArena Multi-Turn | 1139 | 1172 |
| EQ-Bench Creative Writing | — | 713 |
| WildBench | — | 68.7% |
Frequently asked questions
Is Gemini 1.0 Pro better than Llama 3.1-8B?
Gemini 1.0 Pro is the stronger model overall, scoring 27.1 to 22.8 on the Noometry Index.
Is Gemini 1.0 Pro or Llama 3.1-8B better for coding?
Gemini 1.0 Pro scores higher on coding benchmarks: 31.6 versus 19.9 in the Noometry coding category.
How many benchmarks do Gemini 1.0 Pro and Llama 3.1-8B share?
24 benchmarks have published results for both models. Gemini 1.0 Pro has 24 scored results on Noometry and Llama 3.1-8B has 43.