# Gemini 3.8 Flash vs Llama 2-70B

> Gemini 3.8 Flash is the stronger model overall, scoring 59.5 to 24.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-3-8-flash-vs-llama-2-70b
- Last updated: 2026-10-10
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. Gemini 3.8 Flash scores higher in 8 categories and Llama 2-70B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 3.8 Flash leads 74.9 to 7.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.9% for Gemini 3.8 Flash and 0% for Llama 2-70B.
- Llama 2-70B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 3.8 Flash | Llama 2-70B |
|---|---|---|
| Provider | Google | Meta |
| Noometry Index | 59.5 | 24.1 |
| Rank | 13 | 343 |
| Context | 1.05M | — |
| Input $/M | $0.75 | — |
| Output $/M | $3.75 | — |
| Weights | Proprietary | Open |

## Coding

- Gemini 3.8 Flash: 56.4 (#17)
- Llama 2-70B: 30.8 (#281)

| Benchmark | Gemini 3.8 Flash | Llama 2-70B |
|---|---|---|
| LMArena Coding | 1512 | 1079 |
| DeepSWE | 73.8% | — |
| FrontierCode | 41.2% | — |
| CursorBench | 39.6% | — |
| LMArena WebDev | 1581 | — |
| FrontierSWE | 19.6% | — |
| SciCode | 56.6% | — |
| ALE-Bench | 1,270 | — |

## Agentic & Tool Use

- Gemini 3.8 Flash: 40.3 (#22)
- Llama 2-70B: —

| Benchmark | Gemini 3.8 Flash | Llama 2-70B |
|---|---|---|
| APEX-Agents | 64.3% | — |
| GDP.pdf | 23.4% | — |
| Vending-Bench 2 | 5,094 | — |

## Reasoning

- Gemini 3.8 Flash: 64.7 (#13)
- Llama 2-70B: 13.7 (#324)

| Benchmark | Gemini 3.8 Flash | Llama 2-70B |
|---|---|---|
| LMArena Hard Prompts | 1506 | 1073 |
| DTBench | 95.7% | 41.6% |
| Epoch Capabilities Index | 157.13 | 113.59 |
| NYT Connections (extended) | 97.4% | — |
| CritPt | 18.3% | — |
| Chess Puzzles | 61% | — |
| Mystery Game Puzzles | 47% | — |
| LMCA | 52.9% | — |
| Surface Evolver Bench | 76.9% | — |
| BIG-Bench Hard | — | 64.9% |
| CommonsenseQA 2.0 | — | 50% |
| ForecastBench | — | 51.4 |
| HellaSwag | — | 85.3% |
| LAMBADA | — | 78.9% |
| PIQA | — | 82.8% |
| WinoGrande | — | 80.2% |

## Math

- Gemini 3.8 Flash: 65.2 (#22)
- Llama 2-70B: 7.5 (#320)

| Benchmark | Gemini 3.8 Flash | Llama 2-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 98.9% | 0% |
| LMArena Math | 1528 | 1091 |
| FrontierMath (Tiers 1-3) | 68.4% | — |
| FrontierMath Tier 4 | 22% | — |
| ProofBench | 48% | — |
| MATH Level 5 | — | 3.3% |
| GSM8K | — | 69.6% |

## Knowledge

- Gemini 3.8 Flash: 74.9 (#2)
- Llama 2-70B: 7.4 (#305)

| Benchmark | Gemini 3.8 Flash | Llama 2-70B |
|---|---|---|
| GPQA Diamond | 95.4% | 26.3% |
| LMArena Expert | 1529 | 1039 |
| Humanity's Last Exam | 44.5% | — |
| SimpleQA Verified | 69.7% | — |
| ARC (AI2) Challenge | — | 78.3% |
| BoolQ | — | 88.6% |
| MMLU | — | 69.9% |
| OpenBookQA | — | 60.2% |
| TriviaQA | — | 87.6% |

## Multimodal

- Gemini 3.8 Flash: 40.9 (#33)
- Llama 2-70B: —

| Benchmark | Gemini 3.8 Flash | Llama 2-70B |
|---|---|---|
| LMArena Vision | 1312 | — |
| Blueprint-Bench 2 | 38.6% | — |
| Furniture Assembly | 31.7% | — |

## Multilingual

- Gemini 3.8 Flash: 57.9 (#5)
- Llama 2-70B: 27.9 (#269)

| Benchmark | Gemini 3.8 Flash | Llama 2-70B |
|---|---|---|
| LMArena Non-English | 1486 | 1045 |
| LMArena Chinese | 1547 | 994 |
| LMArena French | 1502 | 1089 |
| LMArena German | 1470 | 1041 |
| LMArena Japanese | 1505 | 927 |
| LMArena Korean | 1479 | 964 |
| LMArena Russian | 1507 | 1083 |
| LMArena Spanish | 1492 | 1142 |

## Instruction Following

- Gemini 3.8 Flash: 78.2 (#11)
- Llama 2-70B: 55.1 (#273)

| Benchmark | Gemini 3.8 Flash | Llama 2-70B |
|---|---|---|
| LMArena Instruction Following | 1489 | 1071 |

## Long Context

- Gemini 3.8 Flash: 46.2 (#23)
- Llama 2-70B: 32.2 (#265)

| Benchmark | Gemini 3.8 Flash | Llama 2-70B |
|---|---|---|
| LMArena Longer Query | 1506 | 1062 |

## Writing & Preference

- Gemini 3.8 Flash: 72.1 (#16)
- Llama 2-70B: 32.5 (#274)

| Benchmark | Gemini 3.8 Flash | Llama 2-70B |
|---|---|---|
| LMArena Text | 1494 | 1115 |
| LMArena Creative Writing | 1485 | 1075 |
| LMArena Multi-Turn | 1503 | 1088 |
| EQ-Bench Creative Writing | 1748 | — |

## FAQ

### Is Gemini 3.8 Flash better than Llama 2-70B?

Gemini 3.8 Flash is the stronger model overall, scoring 59.5 to 24.1 on the Noometry Index.

### Is Gemini 3.8 Flash or Llama 2-70B better for coding?

Gemini 3.8 Flash scores higher on coding benchmarks: 56.4 versus 30.8 in the Noometry coding category.

### How many benchmarks do Gemini 3.8 Flash and Llama 2-70B share?

21 benchmarks have published results for both models. Gemini 3.8 Flash has 46 scored results on Noometry and Llama 2-70B has 35.