Model comparison
Gemini 3.8 Flash vs Llama 3.1-405B
Gemini 3.8 Flash is the stronger model overall, scoring 59.5 to 30.4 on the Noometry Index.
Last verified . 22 shared benchmarks.
Google
MetaSummary
- They share 22 benchmarks with published results for both. Gemini 3.8 Flash scores higher in 9 categories and Llama 3.1-405B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.8 Flash leads 64.7 to 16.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.9% for Gemini 3.8 Flash and 9.7% for Llama 3.1-405B.
- Llama 3.1-405B has downloadable open weights; the other is API-only.
Side by side
| Gemini 3.8 Flash | Llama 3.1-405B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 59.5 | 30.4 |
| Released | 2026-09-02 | 2024-07-23 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 66K | — |
| Input $ / M tokens | $0.75 | — |
| Output $ / M tokens | $3.75 | — |
| Results tracked | 46 | 42 |
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Category by category
Coding Gemini 3.8 Flash leads
Gemini 3.8 Flash: 56.4 (#17), Llama 3.1-405B: 32.7 (#257)
| Benchmark | Gemini 3.8 Flash | Llama 3.1-405B |
|---|---|---|
| LMArena Coding | 1512 | 1291 |
| DeepSWE | 73.8% | — |
| FrontierCode | 41.2% | — |
| CursorBench | 39.6% | — |
| LMArena WebDev | 1581 | — |
| FrontierSWE | 19.6% | — |
| SciCode | 56.6% | — |
| WeirdML | — | 21.4% |
| ALE-Bench | 1,270 | — |
Agentic & Tool Use Gemini 3.8 Flash leads
Gemini 3.8 Flash: 40.3 (#22), Llama 3.1-405B: 20.9 (#131)
| Benchmark | Gemini 3.8 Flash | Llama 3.1-405B |
|---|---|---|
| APEX-Agents | 64.3% | — |
| TheAgentCompany | — | 7.4% |
| Cybench | — | 7.5% |
| GDP.pdf | 23.4% | — |
| Vending-Bench 2 | 5,094 | — |
Reasoning Gemini 3.8 Flash leads
Gemini 3.8 Flash: 64.7 (#13), Llama 3.1-405B: 16.4 (#293)
| Benchmark | Gemini 3.8 Flash | Llama 3.1-405B |
|---|---|---|
| LMArena Hard Prompts | 1506 | 1270 |
| DTBench | 95.7% | 61.4% |
| Epoch Capabilities Index | 157.13 | 128.76 |
| SimpleBench | — | 23% |
| Kagi LLM Benchmark | — | 45% |
| 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 | — | 82.9% |
| ForecastBench | — | 59.9 |
| HellaSwag | — | 89.2% |
| PIQA | — | 85.9% |
| WinoGrande | — | 89.2% |
Math Gemini 3.8 Flash leads
Gemini 3.8 Flash: 65.2 (#22), Llama 3.1-405B: 17.3 (#283)
| Benchmark | Gemini 3.8 Flash | Llama 3.1-405B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 98.9% | 9.7% |
| LMArena Math | 1528 | 1281 |
| FrontierMath (Tiers 1-3) | 68.4% | — |
| FrontierMath Tier 4 | 22% | — |
| ProofBench | 48% | — |
| Omni-MATH | — | 24.9% |
| MATH Level 5 | — | 49.8% |
Knowledge Gemini 3.8 Flash leads
Gemini 3.8 Flash: 74.9 (#2), Llama 3.1-405B: 30.4 (#221)
| Benchmark | Gemini 3.8 Flash | Llama 3.1-405B |
|---|---|---|
| GPQA Diamond | 95.4% | 50.9% |
| LMArena Expert | 1529 | 1243 |
| Humanity's Last Exam | 44.5% | — |
| SimpleQA Verified | 69.7% | — |
| MMLU-Pro | — | 72.3% |
| Confabulations | — | 17.6% |
| GPQA (HELM) | — | 52.2% |
| ARC (AI2) Challenge | — | 95.3% |
| MMLU | — | 84.5% |
| TriviaQA | — | 82.7% |
Multimodal Not comparable
Gemini 3.8 Flash: 40.9 (#33), Llama 3.1-405B: —
| Benchmark | Gemini 3.8 Flash | Llama 3.1-405B |
|---|---|---|
| LMArena Vision | 1312 | — |
| Blueprint-Bench 2 | 38.6% | — |
| Furniture Assembly | 31.7% | — |
Multilingual Gemini 3.8 Flash leads
Gemini 3.8 Flash: 57.9 (#5), Llama 3.1-405B: 40.9 (#209)
| Benchmark | Gemini 3.8 Flash | Llama 3.1-405B |
|---|---|---|
| LMArena Non-English | 1486 | 1248 |
| LMArena Chinese | 1547 | 1242 |
| LMArena French | 1502 | 1278 |
| LMArena German | 1470 | 1252 |
| LMArena Japanese | 1505 | 1208 |
| LMArena Korean | 1479 | 1184 |
| LMArena Russian | 1507 | 1265 |
| LMArena Spanish | 1492 | 1259 |
Instruction Following Gemini 3.8 Flash leads
Gemini 3.8 Flash: 78.2 (#11), Llama 3.1-405B: 66.1 (#209)
| Benchmark | Gemini 3.8 Flash | Llama 3.1-405B |
|---|---|---|
| LMArena Instruction Following | 1489 | 1259 |
| IFEval | — | 81.1% |
Long Context Gemini 3.8 Flash leads
Gemini 3.8 Flash: 46.2 (#23), Llama 3.1-405B: 38.4 (#192)
| Benchmark | Gemini 3.8 Flash | Llama 3.1-405B |
|---|---|---|
| LMArena Longer Query | 1506 | 1266 |
Writing & Preference Gemini 3.8 Flash leads
Gemini 3.8 Flash: 72.1 (#16), Llama 3.1-405B: 39.1 (#246)
| Benchmark | Gemini 3.8 Flash | Llama 3.1-405B |
|---|---|---|
| LMArena Text | 1494 | 1284 |
| LMArena Creative Writing | 1485 | 1262 |
| EQ-Bench Creative Writing | 1748 | 870 |
| LMArena Multi-Turn | 1503 | 1297 |
| WildBench | — | 78.3% |
Frequently asked questions
Is Gemini 3.8 Flash better than Llama 3.1-405B?
Gemini 3.8 Flash is the stronger model overall, scoring 59.5 to 30.4 on the Noometry Index.
Is Gemini 3.8 Flash or Llama 3.1-405B better for coding?
Gemini 3.8 Flash scores higher on coding benchmarks: 56.4 versus 32.7 in the Noometry coding category.
How many benchmarks do Gemini 3.8 Flash and Llama 3.1-405B share?
22 benchmarks have published results for both models. Gemini 3.8 Flash has 46 scored results on Noometry and Llama 3.1-405B has 42.