# Gemini 3.5 Flash vs Llama-3.3-70B-Instruct

> Gemini 3.5 Flash is the stronger model overall, scoring 54.1 to 30.3 on the Noometry Index. Llama-3.3-70B-Instruct costs 22× less per token, which makes it the better buy when Gemini 3.5 Flash's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemini-3-5-flash-vs-llama-3-3-70b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 27

## Summary

- They share 27 benchmarks with published results for both. Gemini 3.5 Flash scores higher in 8 categories and Llama-3.3-70B-Instruct in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.5 Flash leads 62.7 to 13.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 95.6% for Gemini 3.5 Flash and 5.1% for Llama-3.3-70B-Instruct.
- Llama-3.3-70B-Instruct is cheaper at $0.10 / $0.32 per million input/output tokens, against $1.50 / $9 for Gemini 3.5 Flash.
- Gemini 3.5 Flash accepts more context: 1.05M tokens versus 128K.
- Llama-3.3-70B-Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 3.5 Flash | Llama-3.3-70B-Instruct |
|---|---|---|
| Provider | Google | Meta |
| Noometry Index | 54.1 | 30.3 |
| Rank | 29 | 283 |
| Context | 1.05M | 128K |
| Input $/M | $1.50 | $0.10 |
| Output $/M | $9 | $0.32 |
| Weights | Proprietary | Open |

## Coding

- Gemini 3.5 Flash: 49.1 (#46)
- Llama-3.3-70B-Instruct: 30.6 (#284)

| Benchmark | Gemini 3.5 Flash | Llama-3.3-70B-Instruct |
|---|---|---|
| SciCode | 53.1% | 26% |
| WeirdML | 62.6% | 14.4% |
| LMArena Coding | 1492 | 1268 |
| SWE-bench Verified | 79.3% | — |
| DeepSWE | 37.4% | — |
| LMArena WebDev | 1499 | — |
| BigCodeBench Instruct | — | 46.9% |
| LiveBench Coding | — | 36.6% |
| BigCodeBench Complete | — | 57.5% |
| ALE-Bench | 911.02 | — |

## Agentic & Tool Use

- Gemini 3.5 Flash: 24.8 (#107)
- Llama-3.3-70B-Instruct: 25.6 (#100)

| Benchmark | Gemini 3.5 Flash | Llama-3.3-70B-Instruct |
|---|---|---|
| APEX-Agents | 27.5% | — |
| Berkeley Function Calling Leaderboard | — | 31.9% |
| BALROG | — | 23% |
| GBAEval | 6.7% | — |
| GDP.pdf | 14% | — |
| Vending-Bench 2 | 5,396 | — |

## Reasoning

- Gemini 3.5 Flash: 62.7 (#16)
- Llama-3.3-70B-Instruct: 13.7 (#325)

| Benchmark | Gemini 3.5 Flash | Llama-3.3-70B-Instruct |
|---|---|---|
| SimpleBench | 76.7% | 19.9% |
| CritPt | 13.1% | 0% |
| LMArena Hard Prompts | 1488 | 1257 |
| DTBench | 94.7% | 59.5% |
| LMCA | 47.1% | 17.5% |
| Epoch Capabilities Index | 154.55 | 127.32 |
| ForecastBench | 59 | 58.6 |
| ARC-AGI-2 | 72.1% | — |
| NYT Connections (extended) | 92.6% | — |
| ARC-AGI-1 | 92.5% | — |
| Chess Puzzles | 50% | — |
| EnigmaEval | 25.4% | — |
| EBR-Bench | 4.8% | — |
| LiveBench Reasoning | — | 50.8% |
| Mystery Game Puzzles | 32% | — |
| LiveBench Data Analysis | — | 49.5% |
| Surface Evolver Bench | 58.1% | — |
| LiveBench | — | 50.2% |

## Math

- Gemini 3.5 Flash: 60.5 (#30)
- Llama-3.3-70B-Instruct: 14.3 (#292)

| Benchmark | Gemini 3.5 Flash | Llama-3.3-70B-Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 95.6% | 5.1% |
| LMArena Math | 1502 | 1268 |
| FrontierMath (Tiers 1-3) | 62.8% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 76.3% | — |
| ProofBench | 31% | — |
| LiveBench Math | — | 42.2% |
| MATH Level 5 | — | 41.6% |
| FrontierMath (Feb 2025 set) | 39% | — |
| FrontierMath Tier 4 (v1) | 14.6% | — |

## Knowledge

- Gemini 3.5 Flash: 66.3 (#10)
- Llama-3.3-70B-Instruct: 30.5 (#220)

| Benchmark | Gemini 3.5 Flash | Llama-3.3-70B-Instruct |
|---|---|---|
| GPQA Diamond | 92.8% | 47.4% |
| LMArena Expert | 1493 | 1225 |
| SimpleQA Verified | 66.2% | — |
| Confabulations | — | 22.8% |
| Vectara Hallucination Rate | — | 4.1% |
| MMLU | — | 86.3% |

## Multimodal

- Gemini 3.5 Flash: 45.7 (#13)
- Llama-3.3-70B-Instruct: —

| Benchmark | Gemini 3.5 Flash | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Vision | 1311 | — |
| Blueprint-Bench 2 | 33.6% | — |
| LMArena Document | 1463 | — |

## Multilingual

- Gemini 3.5 Flash: 57.1 (#12)
- Llama-3.3-70B-Instruct: 40.1 (#215)

| Benchmark | Gemini 3.5 Flash | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Non-English | 1475 | 1236 |
| LMArena Chinese | 1525 | 1217 |
| LMArena French | 1490 | 1280 |
| LMArena German | 1500 | 1251 |
| LMArena Japanese | 1481 | 1149 |
| LMArena Korean | 1453 | 1142 |
| LMArena Russian | 1491 | 1252 |
| LMArena Spanish | 1478 | 1269 |

## Instruction Following

- Gemini 3.5 Flash: 77.2 (#29)
- Llama-3.3-70B-Instruct: 71.3 (#152)

| Benchmark | Gemini 3.5 Flash | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Instruction Following | 1466 | 1242 |
| LiveBench Instruction Following | — | 82.7% |

## Long Context

- Gemini 3.5 Flash: 45.3 (#39)
- Llama-3.3-70B-Instruct: 26.4 (#290)

| Benchmark | Gemini 3.5 Flash | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Longer Query | 1481 | 1256 |
| Fiction.LiveBench | — | 33.3% |

## Writing & Preference

- Gemini 3.5 Flash: 65.5 (#46)
- Llama-3.3-70B-Instruct: 47.8 (#203)

| Benchmark | Gemini 3.5 Flash | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Text | 1481 | 1274 |
| LMArena Creative Writing | 1467 | 1250 |
| LMArena Multi-Turn | 1482 | 1279 |
| EQ-Bench 4 | 1087 | — |
| LiveBench Language | — | 39.2% |

## FAQ

### Is Gemini 3.5 Flash better than Llama-3.3-70B-Instruct?

Gemini 3.5 Flash is the stronger model overall, scoring 54.1 to 30.3 on the Noometry Index. Llama-3.3-70B-Instruct costs 22× less per token, which makes it the better buy when Gemini 3.5 Flash's lead doesn't matter for your workload.

### Which is cheaper, Gemini 3.5 Flash or Llama-3.3-70B-Instruct?

Llama-3.3-70B-Instruct is cheaper. It lists at $0.10 per million input tokens and $0.32 per million output tokens; Gemini 3.5 Flash lists at $1.50 and $9.

### Is Gemini 3.5 Flash or Llama-3.3-70B-Instruct better for coding?

Gemini 3.5 Flash scores higher on coding benchmarks: 49.1 versus 30.6 in the Noometry coding category.

### Which has the bigger context window?

Gemini 3.5 Flash does, with 1.05M tokens against 128K.

### How many benchmarks do Gemini 3.5 Flash and Llama-3.3-70B-Instruct share?

27 benchmarks have published results for both models. Gemini 3.5 Flash has 54 scored results on Noometry and Llama-3.3-70B-Instruct has 43.