Model comparison
Gemini 1.5 Flash (May 2024) vs Llama 3.1-70B
Gemini 1.5 Flash (May 2024) is the stronger model overall, scoring 33.2 to 29.6 on the Noometry Index.
Last verified . 32 shared benchmarks.
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MetaSummary
- They share 32 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 9 categories and Llama 3.1-70B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 1.5 Flash (May 2024) leads 48.7 to 35.4.
- The biggest single-benchmark swing is MATH Level 5: 61.9% for Gemini 1.5 Flash (May 2024) and 36.7% for Llama 3.1-70B.
- Llama 3.1-70B has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.5 Flash (May 2024) | Llama 3.1-70B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 33.2 | 29.6 |
| Released | 2024-05-14 | 2024-07-23 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.40 |
| Output $ / M tokens | — | $0.40 |
| Results tracked | 42 | 35 |
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Category by category
Coding Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 34.4 (#236), Llama 3.1-70B: 30.3 (#296)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3.1-70B |
|---|---|---|
| WeirdML | 24.9% | 9% |
| BigCodeBench Instruct | 43.5% | 46.1% |
| LMArena Coding | 1261 | 1260 |
| BigCodeBench Complete | 55.1% | 54.8% |
| HumanEval+ | 75.6% | — |
| MBPP+ | 67.5% | — |
Agentic & Tool Use Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 26.6 (#102), Llama 3.1-70B: 25.1 (#112)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3.1-70B |
|---|---|---|
| BALROG | 14.6% | 27.9% |
| TheAgentCompany | — | 6.9% |
Reasoning Too close to call
Gemini 1.5 Flash (May 2024): 21.7 (#215), Llama 3.1-70B: 21.6 (#220)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3.1-70B |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1241 |
| DTBench | 53.8% | 60% |
| Epoch Capabilities Index | 129.36 | 125.92 |
| LMCA | — | 14.8% |
| ForecastBench | 53.9 | — |
| PIQA | 87.5% | — |
Math Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 22.1 (#281), Llama 3.1-70B: 13.5 (#304)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3.1-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 16.3% | 3.6% |
| Omni-MATH | 30.4% | 21% |
| LMArena Math | 1269 | 1252 |
| MATH Level 5 | 61.9% | 36.7% |
| FrontierMath (Feb 2025 set) | 0% | — |
| GSM8K | 82.4% | — |
Knowledge Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 26.2 (#260), Llama 3.1-70B: 24.2 (#269)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3.1-70B |
|---|---|---|
| GPQA Diamond | 47.3% | 44.2% |
| MMLU-Pro | 67.8% | 65.3% |
| GPQA (HELM) | 43.7% | 42.6% |
| LMArena Expert | 1233 | 1209 |
| MMLU | 77.9% | 80.1% |
| BoolQ | 85.8% | — |
Multimodal Not comparable
Gemini 1.5 Flash (May 2024): 36.0 (#81), Llama 3.1-70B: —
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3.1-70B |
|---|---|---|
| LMArena Vision | 1141 | — |
| Video-MME | 70.3% | — |
| GeoBench | 76% | — |
Multilingual Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 42.9 (#189), Llama 3.1-70B: 38.8 (#225)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3.1-70B |
|---|---|---|
| LMArena Non-English | 1278 | 1219 |
| LMArena Chinese | 1295 | 1215 |
| LMArena French | 1258 | 1261 |
| LMArena German | 1262 | 1222 |
| LMArena Japanese | 1252 | 1132 |
| LMArena Korean | 1221 | 1140 |
| LMArena Russian | 1288 | 1234 |
| LMArena Spanish | 1243 | 1253 |
Instruction Following Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 66.8 (#205), Llama 3.1-70B: 65.3 (#223)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3.1-70B |
|---|---|---|
| IFEval | 83.1% | 82.1% |
| LMArena Instruction Following | 1258 | 1231 |
Long Context Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 39.0 (#187), Llama 3.1-70B: 37.6 (#214)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3.1-70B |
|---|---|---|
| LMArena Longer Query | 1284 | 1241 |
Writing & Preference Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 48.7 (#196), Llama 3.1-70B: 35.4 (#267)
| Benchmark | Gemini 1.5 Flash (May 2024) | Llama 3.1-70B |
|---|---|---|
| LMArena Text | 1287 | 1261 |
| LMArena Creative Writing | 1285 | 1232 |
| WildBench | 79.2% | 75.8% |
| LMArena Multi-Turn | 1253 | 1256 |
| EQ-Bench Creative Writing | — | 784 |
Frequently asked questions
Is Gemini 1.5 Flash (May 2024) better than Llama 3.1-70B?
Gemini 1.5 Flash (May 2024) is the stronger model overall, scoring 33.2 to 29.6 on the Noometry Index.
Is Gemini 1.5 Flash (May 2024) or Llama 3.1-70B better for coding?
Gemini 1.5 Flash (May 2024) scores higher on coding benchmarks: 34.4 versus 30.3 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Flash (May 2024) and Llama 3.1-70B share?
32 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and Llama 3.1-70B has 35.