Model comparison
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.
Last verified . 27 shared benchmarks.
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.
Side by side
| Gemini 3.1 Flash Lite | Llama-3.3-70B-Instruct | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 40.8 | 30.6 |
| Released | 2026-03-03 | 2024-12-06 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 128K |
| Max output | 66K | 4K |
| Input $ / M tokens | $0.25 | $0.10 |
| Output $ / M tokens | $1.50 | $0.32 |
| Results tracked | 38 | 43 |
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Category by category
Coding Gemini 3.1 Flash Lite leads
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 leads
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 leads
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 leads
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 leads
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 Not comparable
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 leads
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 leads
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 leads
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 leads
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% |
Frequently asked questions
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.