Model comparison
Gemini 3.7 Flash vs Llama 3.1-405B
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 30.7 on the Noometry Index.
Last verified . 22 shared benchmarks.
Summary
- They share 22 benchmarks with published results for both. Gemini 3.7 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 3.7 Flash leads 70.0 to 16.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 97.2% for Gemini 3.7 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 3.7 Flash | Llama 3.1-405B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 59.8 | 30.7 |
| Released | 2026-08-13 | 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 | 44 | 42 |
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Category by category
Coding Gemini 3.7 Flash leads
Gemini 3.7 Flash: 56.2 (#22), Llama 3.1-405B: 33.1 (#262)
| Benchmark | Gemini 3.7 Flash | Llama 3.1-405B |
|---|---|---|
| LMArena Coding | 1497 | 1291 |
| DeepSWE | 65.5% | — |
| FrontierCode | 43.6% | — |
| LMArena WebDev | 1592 | — |
| FrontierSWE | 20.3% | — |
| SciCode | 59.8% | — |
| WeirdML | — | 21.4% |
| ALE-Bench | 904.3 | — |
Agentic & Tool Use Gemini 3.7 Flash leads
Gemini 3.7 Flash: 42.1 (#19), Llama 3.1-405B: 21.0 (#140)
| Benchmark | Gemini 3.7 Flash | Llama 3.1-405B |
|---|---|---|
| APEX-Agents | 67.8% | — |
| Remote Labor Index | 5% | — |
| TheAgentCompany | — | 7.4% |
| Cybench | — | 7.5% |
| GDP.pdf | 23.8% | — |
Reasoning Gemini 3.7 Flash leads
Gemini 3.7 Flash: 70.0 (#15), Llama 3.1-405B: 16.8 (#300)
| Benchmark | Gemini 3.7 Flash | Llama 3.1-405B |
|---|---|---|
| LMArena Hard Prompts | 1494 | 1269 |
| DTBench | 96.8% | 61.4% |
| Epoch Capabilities Index | 157.27 | 128.75 |
| ARC-AGI-2 | 84.6% | — |
| SimpleBench | — | 23% |
| Kagi LLM Benchmark | — | 45% |
| NYT Connections (extended) | 94% | — |
| ARC-AGI-1 | 95.5% | — |
| CritPt | 14.3% | — |
| Chess Puzzles | 47% | — |
| Mystery Game Puzzles | 37% | — |
| LMCA | 50.4% | — |
| BIG-Bench Hard | — | 82.9% |
| ForecastBench | — | 59.9 |
| HellaSwag | — | 89.2% |
| PIQA | — | 85.9% |
| WinoGrande | — | 89.2% |
Math Gemini 3.7 Flash leads
Gemini 3.7 Flash: 69.6 (#23), Llama 3.1-405B: 18.4 (#290)
| Benchmark | Gemini 3.7 Flash | Llama 3.1-405B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 97.2% | 9.7% |
| LMArena Math | 1507 | 1281 |
| FrontierMath (Tiers 1-3) | 71.6% | — |
| FrontierMath Tier 4 | 36.6% | — |
| ProofBench | 58% | — |
| Omni-MATH | — | 24.9% |
| MATH Level 5 | — | 49.8% |
Knowledge Gemini 3.7 Flash leads
Gemini 3.7 Flash: 69.7 (#5), Llama 3.1-405B: 30.4 (#227)
| Benchmark | Gemini 3.7 Flash | Llama 3.1-405B |
|---|---|---|
| GPQA Diamond | 94.8% | 50.9% |
| LMArena Expert | 1508 | 1243 |
| SimpleQA Verified | 69.2% | — |
| 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 3.7 Flash: 37.3 (#73), Llama 3.1-405B: —
| Benchmark | Gemini 3.7 Flash | Llama 3.1-405B |
|---|---|---|
| LMArena Vision | 1316 | — |
| Furniture Assembly | 26.7% | — |
Multilingual Gemini 3.7 Flash leads
Gemini 3.7 Flash: 57.6 (#7), Llama 3.1-405B: 40.7 (#214)
| Benchmark | Gemini 3.7 Flash | Llama 3.1-405B |
|---|---|---|
| LMArena Non-English | 1484 | 1248 |
| LMArena Chinese | 1548 | 1242 |
| LMArena French | 1505 | 1279 |
| LMArena German | 1498 | 1252 |
| LMArena Japanese | 1512 | 1208 |
| LMArena Korean | 1483 | 1184 |
| LMArena Russian | 1516 | 1265 |
| LMArena Spanish | 1503 | 1260 |
Instruction Following Gemini 3.7 Flash leads
Gemini 3.7 Flash: 77.7 (#15), Llama 3.1-405B: 65.9 (#214)
| Benchmark | Gemini 3.7 Flash | Llama 3.1-405B |
|---|---|---|
| LMArena Instruction Following | 1483 | 1259 |
| IFEval | — | 81.1% |
Long Context Gemini 3.7 Flash leads
Gemini 3.7 Flash: 45.7 (#30), Llama 3.1-405B: 38.4 (#197)
| Benchmark | Gemini 3.7 Flash | Llama 3.1-405B |
|---|---|---|
| LMArena Longer Query | 1492 | 1266 |
Writing & Preference Gemini 3.7 Flash leads
Gemini 3.7 Flash: 71.2 (#20), Llama 3.1-405B: 38.9 (#251)
| Benchmark | Gemini 3.7 Flash | Llama 3.1-405B |
|---|---|---|
| LMArena Text | 1486 | 1284 |
| LMArena Creative Writing | 1490 | 1262 |
| EQ-Bench Creative Writing | 1723 | 870 |
| LMArena Multi-Turn | 1489 | 1297 |
| WildBench | — | 78.3% |
Frequently asked questions
Is Gemini 3.7 Flash better than Llama 3.1-405B?
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 30.7 on the Noometry Index.
Is Gemini 3.7 Flash or Llama 3.1-405B better for coding?
Gemini 3.7 Flash scores higher on coding benchmarks: 56.2 versus 33.1 in the Noometry coding category.
How many benchmarks do Gemini 3.7 Flash and Llama 3.1-405B share?
22 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and Llama 3.1-405B has 42.