# Gemini 1.0 Pro vs Llama-3.3-70B-Instruct

> Llama-3.3-70B-Instruct is the stronger model overall, scoring 30.3 to 27.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-1-0-pro-vs-llama-3-3-70b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 22

## Summary

- They share 22 benchmarks with published results for both. Gemini 1.0 Pro scores higher in 3 categories and Llama-3.3-70B-Instruct in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama-3.3-70B-Instruct leads 30.5 to 15.5.
- The biggest single-benchmark swing is MATH Level 5: 11.2% for Gemini 1.0 Pro and 41.6% for Llama-3.3-70B-Instruct.
- Llama-3.3-70B-Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 1.0 Pro | Llama-3.3-70B-Instruct |
|---|---|---|
| Provider | Google | Meta |
| Noometry Index | 27.1 | 30.3 |
| Rank | 327 | 283 |
| Context | — | 128K |
| Input $/M | — | $0.10 |
| Output $/M | — | $0.32 |
| Weights | Proprietary | Open |

## Coding

- Gemini 1.0 Pro: 31.6 (#270)
- Llama-3.3-70B-Instruct: 30.6 (#284)

| Benchmark | Gemini 1.0 Pro | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Coding | 1108 | 1268 |
| SciCode | — | 26% |
| WeirdML | — | 14.4% |
| BigCodeBench Instruct | — | 46.9% |
| LiveBench Coding | — | 36.6% |
| BigCodeBench Complete | — | 57.5% |
| HumanEval+ | 55.5% | — |
| MBPP+ | 61.4% | — |

## Agentic & Tool Use

- Gemini 1.0 Pro: —
- Llama-3.3-70B-Instruct: 25.6 (#100)

| Benchmark | Gemini 1.0 Pro | Llama-3.3-70B-Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 31.9% |
| BALROG | — | 23% |

## Reasoning

- Gemini 1.0 Pro: 16.4 (#292)
- Llama-3.3-70B-Instruct: 13.7 (#325)

| Benchmark | Gemini 1.0 Pro | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Hard Prompts | 1109 | 1257 |
| DTBench | 45.9% | 59.5% |
| Epoch Capabilities Index | 116.97 | 127.32 |
| SimpleBench | — | 19.9% |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 50.8% |
| LiveBench Data Analysis | — | 49.5% |
| LMCA | — | 17.5% |
| ForecastBench | — | 58.6 |
| LiveBench | — | 50.2% |

## Math

- Gemini 1.0 Pro: 8.7 (#315)
- Llama-3.3-70B-Instruct: 14.3 (#292)

| Benchmark | Gemini 1.0 Pro | Llama-3.3-70B-Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.1% | 5.1% |
| LMArena Math | 1132 | 1268 |
| MATH Level 5 | 11.2% | 41.6% |
| LiveBench Math | — | 42.2% |

## Knowledge

- Gemini 1.0 Pro: 15.5 (#286)
- Llama-3.3-70B-Instruct: 30.5 (#220)

| Benchmark | Gemini 1.0 Pro | Llama-3.3-70B-Instruct |
|---|---|---|
| GPQA Diamond | 34% | 47.4% |
| LMArena Expert | 1059 | 1225 |
| MMLU | 70% | 86.3% |
| Confabulations | — | 22.8% |
| Vectara Hallucination Rate | — | 4.1% |

## Multilingual

- Gemini 1.0 Pro: 33.5 (#247)
- Llama-3.3-70B-Instruct: 40.1 (#215)

| Benchmark | Gemini 1.0 Pro | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Non-English | 1138 | 1236 |
| LMArena Chinese | 1124 | 1217 |
| LMArena French | 1144 | 1280 |
| LMArena German | 1125 | 1251 |
| LMArena Japanese | 1023 | 1149 |
| LMArena Russian | 1186 | 1252 |
| LMArena Spanish | 1118 | 1269 |
| LMArena Korean | — | 1142 |

## Instruction Following

- Gemini 1.0 Pro: 57.9 (#262)
- Llama-3.3-70B-Instruct: 71.3 (#152)

| Benchmark | Gemini 1.0 Pro | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Instruction Following | 1114 | 1242 |
| LiveBench Instruction Following | — | 82.7% |

## Long Context

- Gemini 1.0 Pro: 34.3 (#244)
- Llama-3.3-70B-Instruct: 26.4 (#290)

| Benchmark | Gemini 1.0 Pro | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Longer Query | 1132 | 1256 |
| Fiction.LiveBench | — | 33.3% |

## Writing & Preference

- Gemini 1.0 Pro: 36.2 (#259)
- Llama-3.3-70B-Instruct: 47.8 (#203)

| Benchmark | Gemini 1.0 Pro | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Text | 1149 | 1274 |
| LMArena Creative Writing | 1130 | 1250 |
| LMArena Multi-Turn | 1139 | 1279 |
| LiveBench Language | — | 39.2% |

## FAQ

### Is Gemini 1.0 Pro better than Llama-3.3-70B-Instruct?

Llama-3.3-70B-Instruct is the stronger model overall, scoring 30.3 to 27.1 on the Noometry Index.

### Is Gemini 1.0 Pro or Llama-3.3-70B-Instruct better for coding?

Gemini 1.0 Pro scores higher on coding benchmarks: 31.6 versus 30.6 in the Noometry coding category.

### How many benchmarks do Gemini 1.0 Pro and Llama-3.3-70B-Instruct share?

22 benchmarks have published results for both models. Gemini 1.0 Pro has 24 scored results on Noometry and Llama-3.3-70B-Instruct has 43.