# Gemini 3.1 Flash Lite vs Llama-3.3-70B-Instruct

> Gemini 3.1 Flash Lite is the stronger model overall, scoring 40.8 to 30.6 on the Noometry Index. Llama-3.3-70B-Instruct costs 3.6× less per token, which makes it the better buy when Gemini 3.1 Flash Lite's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemini-3-1-flash-lite-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 3.1 Flash Lite scores higher in 9 categories and Llama-3.3-70B-Instruct in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 3.1 Flash Lite leads 40.7 to 15.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 80% for Gemini 3.1 Flash Lite 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 $0.25 / $1.50 for Gemini 3.1 Flash Lite.
- Gemini 3.1 Flash Lite accepts more context: 1.05M tokens versus 128K.
- Llama-3.3-70B-Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 3.1 Flash Lite | Llama-3.3-70B-Instruct |
|---|---|---|
| Provider | Google | Meta |
| Noometry Index | 40.8 | 30.6 |
| Rank | 144 | 291 |
| Context | 1.05M | 128K |
| Input $/M | $0.25 | $0.10 |
| Output $/M | $1.50 | $0.32 |
| Weights | Proprietary | Open |

## Coding

- Gemini 3.1 Flash Lite: 37.8 (#188)
- Llama-3.3-70B-Instruct: 31.0 (#290)

| Benchmark | Gemini 3.1 Flash Lite | Llama-3.3-70B-Instruct |
|---|---|---|
| SciCode | 41.9% | 26% |
| WeirdML | 52.2% | 14.4% |
| LMArena Coding | 1400 | 1268 |
| LMArena WebDev | 1256 | — |
| BigCodeBench Instruct | — | 46.9% |
| LiveBench Coding | — | 36.6% |
| BigCodeBench Complete | — | 57.5% |
| ALE-Bench | 797.73 | — |

## Agentic & Tool Use

- Gemini 3.1 Flash Lite: 30.2 (#79)
- Llama-3.3-70B-Instruct: 25.8 (#105)

| Benchmark | Gemini 3.1 Flash Lite | Llama-3.3-70B-Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 31.9% |
| DeepResearch Bench | 37.3% | — |
| BALROG | — | 23% |

## Reasoning

- Gemini 3.1 Flash Lite: 22.9 (#186)
- Llama-3.3-70B-Instruct: 14.1 (#327)

| Benchmark | Gemini 3.1 Flash Lite | Llama-3.3-70B-Instruct |
|---|---|---|
| CritPt | 1.1% | 0% |
| LMArena Hard Prompts | 1407 | 1257 |
| DTBench | 76.8% | 59.5% |
| LMCA | 35% | 17.5% |
| Epoch Capabilities Index | 144.47 | 127.33 |
| ForecastBench | 54.4 | 58.6 |
| SimpleBench | — | 19.9% |
| Kagi LLM Benchmark | 67.2% | — |
| NYT Connections (extended) | 8.2% | — |
| Chess Puzzles | 25% | — |
| EnigmaEval | 3% | — |
| Thematic Generalization | 63.3% | — |
| LiveBench Reasoning | — | 50.8% |
| LiveBench Data Analysis | — | 49.5% |
| LiveBench | — | 50.2% |

## Math

- Gemini 3.1 Flash Lite: 40.7 (#90)
- Llama-3.3-70B-Instruct: 15.3 (#298)

| Benchmark | Gemini 3.1 Flash Lite | Llama-3.3-70B-Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 80% | 5.1% |
| LMArena Math | 1428 | 1267 |
| FrontierMath (Tiers 1-3) | 27.7% | — |
| LiveBench Math | — | 42.2% |
| MATH Level 5 | — | 41.6% |

## Knowledge

- Gemini 3.1 Flash Lite: 41.9 (#104)
- Llama-3.3-70B-Instruct: 30.6 (#226)

| Benchmark | Gemini 3.1 Flash Lite | Llama-3.3-70B-Instruct |
|---|---|---|
| GPQA Diamond | 81.8% | 47.4% |
| Vectara Hallucination Rate | 8.2% | 4.1% |
| LMArena Expert | 1398 | 1225 |
| Humanity's Last Exam | 8.6% | — |
| Confabulations | — | 22.8% |
| MMLU | — | 86.3% |

## Multimodal

- Gemini 3.1 Flash Lite: 39.4 (#60)
- Llama-3.3-70B-Instruct: —

| Benchmark | Gemini 3.1 Flash Lite | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Vision | 1240 | — |

## Multilingual

- Gemini 3.1 Flash Lite: 52.3 (#86)
- Llama-3.3-70B-Instruct: 39.9 (#220)

| Benchmark | Gemini 3.1 Flash Lite | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Non-English | 1411 | 1236 |
| LMArena Chinese | 1461 | 1217 |
| LMArena French | 1424 | 1281 |
| LMArena German | 1429 | 1251 |
| LMArena Japanese | 1413 | 1150 |
| LMArena Korean | 1392 | 1143 |
| LMArena Russian | 1420 | 1252 |
| LMArena Spanish | 1421 | 1270 |

## Instruction Following

- Gemini 3.1 Flash Lite: 72.7 (#131)
- Llama-3.3-70B-Instruct: 71.1 (#157)

| Benchmark | Gemini 3.1 Flash Lite | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Instruction Following | 1377 | 1242 |
| LiveBench Instruction Following | — | 82.7% |

## Long Context

- Gemini 3.1 Flash Lite: 42.5 (#122)
- Llama-3.3-70B-Instruct: 26.4 (#295)

| Benchmark | Gemini 3.1 Flash Lite | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Longer Query | 1394 | 1256 |
| Fiction.LiveBench | — | 33.3% |

## Writing & Preference

- Gemini 3.1 Flash Lite: 60.9 (#94)
- Llama-3.3-70B-Instruct: 47.6 (#207)

| Benchmark | Gemini 3.1 Flash Lite | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Text | 1416 | 1274 |
| LMArena Creative Writing | 1401 | 1250 |
| LMArena Multi-Turn | 1417 | 1280 |
| LiveBench Language | — | 39.2% |

## FAQ

### Is Gemini 3.1 Flash Lite better than Llama-3.3-70B-Instruct?

Gemini 3.1 Flash Lite is the stronger model overall, scoring 40.8 to 30.6 on the Noometry Index. Llama-3.3-70B-Instruct costs 3.6× less per token, which makes it the better buy when Gemini 3.1 Flash Lite's lead doesn't matter for your workload.

### Which is cheaper, Gemini 3.1 Flash Lite 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 3.1 Flash Lite lists at $0.25 and $1.50.

### Is Gemini 3.1 Flash Lite or Llama-3.3-70B-Instruct better for coding?

Gemini 3.1 Flash Lite scores higher on coding benchmarks: 37.8 versus 31.0 in the Noometry coding category.

### Which has the bigger context window?

Gemini 3.1 Flash Lite does, with 1.05M tokens against 128K.

### How many benchmarks do Gemini 3.1 Flash Lite and Llama-3.3-70B-Instruct share?

27 benchmarks have published results for both models. Gemini 3.1 Flash Lite has 38 scored results on Noometry and Llama-3.3-70B-Instruct has 43.