# Gemini 2.0 Flash (Feb 2025) vs Llama-3.3-70B-Instruct

> Gemini 2.0 Flash (Feb 2025) is the stronger model overall, scoring 34.8 to 30.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-2-0-flash-vs-llama-3-3-70b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 36

## Summary

- They share 36 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 8 categories and Llama-3.3-70B-Instruct in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.0 Flash (Feb 2025) leads 36.1 to 14.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 57.8% for Gemini 2.0 Flash (Feb 2025) and 5.1% for Llama-3.3-70B-Instruct.
- Llama-3.3-70B-Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 2.0 Flash (Feb 2025) | Llama-3.3-70B-Instruct |
|---|---|---|
| Provider | Google | Meta |
| Noometry Index | 34.8 | 30.3 |
| Rank | 223 | 283 |
| Context | — | 128K |
| Input $/M | — | $0.10 |
| Output $/M | — | $0.32 |
| Weights | Proprietary | Open |

## Coding

- Gemini 2.0 Flash (Feb 2025): 28.2 (#308)
- Llama-3.3-70B-Instruct: 30.6 (#284)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama-3.3-70B-Instruct |
|---|---|---|
| WeirdML | 25.8% | 14.4% |
| BigCodeBench Instruct | 45.9% | 46.9% |
| LiveBench Coding | 63.4% | 36.6% |
| LMArena Coding | 1351 | 1268 |
| BigCodeBench Complete | 59.9% | 57.5% |
| SWE-bench Verified (bash only) | 13.5% | — |
| Aider Polyglot | 38.2% | — |
| SciCode | — | 26% |
| CadEval | 30% | — |

## Agentic & Tool Use

- Gemini 2.0 Flash (Feb 2025): 28.0 (#85)
- Llama-3.3-70B-Instruct: 25.6 (#100)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama-3.3-70B-Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 31.9% |
| TheAgentCompany | 11.4% | — |
| BALROG | — | 23% |

## Reasoning

- Gemini 2.0 Flash (Feb 2025): 15.2 (#308)
- Llama-3.3-70B-Instruct: 13.7 (#325)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama-3.3-70B-Instruct |
|---|---|---|
| SimpleBench | 31.1% | 19.9% |
| LiveBench Reasoning | 78.2% | 50.8% |
| LMArena Hard Prompts | 1346 | 1257 |
| DTBench | 63.2% | 59.5% |
| LiveBench Data Analysis | 69.4% | 49.5% |
| Epoch Capabilities Index | 135.36 | 127.32 |
| LiveBench | 66.9% | 50.2% |
| ARC-AGI-2 | 1.3% | — |
| Kagi LLM Benchmark | 37.8% | — |
| CritPt | — | 0% |
| EnigmaEval | 1.1% | — |
| LMCA | — | 17.5% |
| ForecastBench | — | 58.6 |

## Math

- Gemini 2.0 Flash (Feb 2025): 36.1 (#127)
- Llama-3.3-70B-Instruct: 14.3 (#292)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama-3.3-70B-Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 5.1% |
| LiveBench Math | 75.8% | 42.2% |
| LMArena Math | 1351 | 1268 |
| MATH Level 5 | 82.2% | 41.6% |
| Omni-MATH | 45.9% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |

## Knowledge

- Gemini 2.0 Flash (Feb 2025): 32.0 (#207)
- Llama-3.3-70B-Instruct: 30.5 (#220)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama-3.3-70B-Instruct |
|---|---|---|
| GPQA Diamond | 64.1% | 47.4% |
| Confabulations | 12.4% | 22.8% |
| LMArena Expert | 1340 | 1225 |
| MMLU | 79.7% | 86.3% |
| Humanity's Last Exam | 6.6% | — |
| MMLU-Pro | 73.7% | — |
| Vectara Hallucination Rate | — | 4.1% |
| GPQA (HELM) | 55.6% | — |

## Multimodal

- Gemini 2.0 Flash (Feb 2025): 35.9 (#74)
- Llama-3.3-70B-Instruct: —

| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Vision | 1158 | — |
| GeoBench | 77% | — |

## Multilingual

- Gemini 2.0 Flash (Feb 2025): 47.6 (#144)
- Llama-3.3-70B-Instruct: 40.1 (#215)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Non-English | 1342 | 1236 |
| LMArena Chinese | 1373 | 1217 |
| LMArena French | 1390 | 1280 |
| LMArena German | 1354 | 1251 |
| LMArena Japanese | 1293 | 1149 |
| LMArena Korean | 1314 | 1142 |
| LMArena Russian | 1351 | 1252 |
| LMArena Spanish | 1363 | 1269 |

## Instruction Following

- Gemini 2.0 Flash (Feb 2025): 74.6 (#91)
- Llama-3.3-70B-Instruct: 71.3 (#152)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama-3.3-70B-Instruct |
|---|---|---|
| LiveBench Instruction Following | 85.8% | 82.7% |
| LMArena Instruction Following | 1336 | 1242 |
| IFEval | 84.1% | — |

## Long Context

- Gemini 2.0 Flash (Feb 2025): 38.1 (#198)
- Llama-3.3-70B-Instruct: 26.4 (#290)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama-3.3-70B-Instruct |
|---|---|---|
| Fiction.LiveBench | 61.1% | 33.3% |
| LMArena Longer Query | 1345 | 1256 |

## Writing & Preference

- Gemini 2.0 Flash (Feb 2025): 49.8 (#184)
- Llama-3.3-70B-Instruct: 47.8 (#203)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Text | 1354 | 1274 |
| LMArena Creative Writing | 1340 | 1250 |
| LMArena Multi-Turn | 1350 | 1279 |
| LiveBench Language | 51.3% | 39.2% |
| Short-Story Creative Writing | 73.8% | — |
| EQ-Bench Creative Writing | 1128 | — |
| WildBench | 80% | — |

## FAQ

### Is Gemini 2.0 Flash (Feb 2025) better than Llama-3.3-70B-Instruct?

Gemini 2.0 Flash (Feb 2025) is the stronger model overall, scoring 34.8 to 30.3 on the Noometry Index.

### Is Gemini 2.0 Flash (Feb 2025) or Llama-3.3-70B-Instruct better for coding?

Llama-3.3-70B-Instruct scores higher on coding benchmarks: 30.6 versus 28.2 in the Noometry coding category.

### How many benchmarks do Gemini 2.0 Flash (Feb 2025) and Llama-3.3-70B-Instruct share?

36 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and Llama-3.3-70B-Instruct has 43.