Model comparison
Gemini 3.1 Flash Lite vs Llama 3-8B
Gemini 3.1 Flash Lite is the stronger model overall, scoring 40.4 to 25.3 on the Noometry Index. Llama 3-8B costs 4.0× 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 . 23 shared benchmarks.
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MetaSummary
- They share 23 benchmarks with published results for both. Gemini 3.1 Flash Lite scores higher in 8 categories and Llama 3-8B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 3.1 Flash Lite leads 41.7 to 7.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 80% for Gemini 3.1 Flash Lite and 1.9% for Llama 3-8B.
- Llama 3-8B is cheaper at $0.14 / $0.14 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 8K.
- Llama 3-8B has downloadable open weights; the other is API-only.
Side by side
| Gemini 3.1 Flash Lite | Llama 3-8B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 40.4 | 25.3 |
| Released | 2026-03-03 | 2024-04-18 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 8K |
| Max output | 66K | 8K |
| Input $ / M tokens | $0.25 | $0.14 |
| Output $ / M tokens | $1.50 | $0.14 |
| Results tracked | 38 | 34 |
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Category by category
Coding Gemini 3.1 Flash Lite leads
Gemini 3.1 Flash Lite: 37.5 (#179), Llama 3-8B: 30.5 (#285)
| Benchmark | Gemini 3.1 Flash Lite | Llama 3-8B |
|---|---|---|
| LMArena Coding | 1400 | 1152 |
| LMArena WebDev | 1256 | — |
| SciCode | 41.9% | — |
| WeirdML | 52.2% | — |
| BigCodeBench Instruct | — | 31.9% |
| BigCodeBench Complete | — | 36.9% |
| ALE-Bench | 797.73 | — |
| HumanEval+ | — | 56.7% |
| MBPP+ | — | 54.8% |
Agentic & Tool Use Not comparable
Gemini 3.1 Flash Lite: 29.9 (#72), Llama 3-8B: —
| Benchmark | Gemini 3.1 Flash Lite | Llama 3-8B |
|---|---|---|
| DeepResearch Bench | 37.3% | — |
Reasoning Gemini 3.1 Flash Lite leads
Gemini 3.1 Flash Lite: 22.3 (#181), Llama 3-8B: 13.8 (#321)
| Benchmark | Gemini 3.1 Flash Lite | Llama 3-8B |
|---|---|---|
| Chess Puzzles | 25% | 0% |
| LMArena Hard Prompts | 1407 | 1133 |
| DTBench | 76.8% | 43.9% |
| Epoch Capabilities Index | 144.45 | 116.33 |
| ForecastBench | 54.4 | 58.6 |
| Kagi LLM Benchmark | 67.2% | — |
| NYT Connections (extended) | 8.2% | — |
| CritPt | 1.1% | — |
| EnigmaEval | 3% | — |
| Thematic Generalization | 63.3% | — |
| LMCA | 35% | — |
| Adversarial NLI | — | 57.3% |
| WinoGrande | — | 75.7% |
Math Gemini 3.1 Flash Lite leads
Gemini 3.1 Flash Lite: 39.5 (#82), Llama 3-8B: 8.3 (#317)
| Benchmark | Gemini 3.1 Flash Lite | Llama 3-8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 80% | 1.9% |
| LMArena Math | 1427 | 1151 |
| FrontierMath (Tiers 1-3) | 27.7% | — |
| MATH Level 5 | — | 6.1% |
Knowledge Gemini 3.1 Flash Lite leads
Gemini 3.1 Flash Lite: 41.7 (#95), Llama 3-8B: 7.8 (#303)
| Benchmark | Gemini 3.1 Flash Lite | Llama 3-8B |
|---|---|---|
| GPQA Diamond | 81.8% | 26.1% |
| LMArena Expert | 1397 | 1113 |
| Humanity's Last Exam | 8.6% | — |
| Vectara Hallucination Rate | 8.2% | — |
| ARC (AI2) Challenge | — | 82.8% |
| MMLU | — | 68.8% |
| OpenBookQA | — | 82.6% |
| TriviaQA | — | 67.7% |
Multimodal Not comparable
Gemini 3.1 Flash Lite: 38.7 (#57), Llama 3-8B: —
| Benchmark | Gemini 3.1 Flash Lite | Llama 3-8B |
|---|---|---|
| LMArena Vision | 1240 | — |
Multilingual Gemini 3.1 Flash Lite leads
Gemini 3.1 Flash Lite: 52.5 (#82), Llama 3-8B: 31.0 (#256)
| Benchmark | Gemini 3.1 Flash Lite | Llama 3-8B |
|---|---|---|
| LMArena Non-English | 1410 | 1098 |
| LMArena Chinese | 1461 | 1076 |
| LMArena French | 1423 | 1158 |
| LMArena German | 1429 | 1104 |
| LMArena Japanese | 1411 | 967 |
| LMArena Korean | 1393 | 1003 |
| LMArena Russian | 1420 | 1109 |
| LMArena Spanish | 1420 | 1172 |
Instruction Following Gemini 3.1 Flash Lite leads
Gemini 3.1 Flash Lite: 72.9 (#126), Llama 3-8B: 58.7 (#255)
| Benchmark | Gemini 3.1 Flash Lite | Llama 3-8B |
|---|---|---|
| LMArena Instruction Following | 1376 | 1127 |
Long Context Gemini 3.1 Flash Lite leads
Gemini 3.1 Flash Lite: 42.5 (#117), Llama 3-8B: 34.2 (#246)
| Benchmark | Gemini 3.1 Flash Lite | Llama 3-8B |
|---|---|---|
| LMArena Longer Query | 1394 | 1128 |
Writing & Preference Gemini 3.1 Flash Lite leads
Gemini 3.1 Flash Lite: 61.0 (#90), Llama 3-8B: 37.7 (#251)
| Benchmark | Gemini 3.1 Flash Lite | Llama 3-8B |
|---|---|---|
| LMArena Text | 1416 | 1166 |
| LMArena Creative Writing | 1401 | 1150 |
| LMArena Multi-Turn | 1417 | 1152 |
Frequently asked questions
Is Gemini 3.1 Flash Lite better than Llama 3-8B?
Gemini 3.1 Flash Lite is the stronger model overall, scoring 40.4 to 25.3 on the Noometry Index. Llama 3-8B costs 4.0× 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 3-8B?
Llama 3-8B is cheaper. It lists at $0.14 per million input tokens and $0.14 per million output tokens; Gemini 3.1 Flash Lite lists at $0.25 and $1.50.
Is Gemini 3.1 Flash Lite or Llama 3-8B better for coding?
Gemini 3.1 Flash Lite scores higher on coding benchmarks: 37.5 versus 30.5 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.1 Flash Lite does, with 1.05M tokens against 8K.
How many benchmarks do Gemini 3.1 Flash Lite and Llama 3-8B share?
23 benchmarks have published results for both models. Gemini 3.1 Flash Lite has 38 scored results on Noometry and Llama 3-8B has 34.