# Gemini 3.6 Flash vs Llama 4 Maverick

> Gemini 3.6 Flash is the stronger model overall, scoring 54.1 to 30.9 on the Noometry Index. Llama 4 Maverick costs 4.9× less per token, which makes it the better buy when Gemini 3.6 Flash's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemini-3-6-flash-vs-llama-4-maverick
- Last updated: 2026-10-12
- Shared benchmarks: 31

## Summary

- They share 31 benchmarks with published results for both. Gemini 3.6 Flash scores higher in 10 categories and Llama 4 Maverick in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.6 Flash leads 58.8 to 10.1.
- The biggest single-benchmark swing is ARC-AGI-1: 91.2% for Gemini 3.6 Flash and 4.4% for Llama 4 Maverick.
- Llama 4 Maverick is cheaper at $0.19 / $0.65 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.6 Flash.
- Gemini 3.6 Flash accepts more context: 1.05M tokens versus 128K.
- Llama 4 Maverick has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 3.6 Flash | Llama 4 Maverick |
|---|---|---|
| Provider | Google | Meta |
| Noometry Index | 54.1 | 30.9 |
| Rank | 33 | 282 |
| Context | 1.05M | 128K |
| Input $/M | $0.75 | $0.19 |
| Output $/M | $3.75 | $0.65 |
| Weights | Proprietary | Open |

## Coding

- Gemini 3.6 Flash: 50.0 (#48)
- Llama 4 Maverick: 26.6 (#324)

| Benchmark | Gemini 3.6 Flash | Llama 4 Maverick |
|---|---|---|
| SciCode | 52.7% | 33.1% |
| WeirdML | 56.1% | 24.5% |
| LMArena Coding | 1491 | 1302 |
| ALE-Bench | 715.52 | 172.97 |
| DeepSWE | 46.7% | — |
| FrontierCode | 34.4% | — |
| SWE-bench Verified (bash only) | — | 21% |
| Aider Polyglot | — | 15.6% |
| LMArena WebDev | 1538 | — |
| BigCodeBench Instruct | — | 49.7% |
| BigCodeBench Complete | — | 61.4% |

## Agentic & Tool Use

- Gemini 3.6 Flash: 32.3 (#65)
- Llama 4 Maverick: 28.2 (#91)

| Benchmark | Gemini 3.6 Flash | Llama 4 Maverick |
|---|---|---|
| APEX-Agents | 46.9% | — |
| Berkeley Function Calling Leaderboard | — | 37.3% |
| GDP.pdf | 14% | — |

## Reasoning

- Gemini 3.6 Flash: 58.8 (#22)
- Llama 4 Maverick: 10.1 (#342)

| Benchmark | Gemini 3.6 Flash | Llama 4 Maverick |
|---|---|---|
| ARC-AGI-2 | 60.4% | 0% |
| NYT Connections (extended) | 89% | 8% |
| ARC-AGI-1 | 91.2% | 4.4% |
| CritPt | 10.6% | 0% |
| LMArena Hard Prompts | 1485 | 1281 |
| DTBench | 95.5% | 61.9% |
| LMCA | 44.9% | 15.9% |
| Epoch Capabilities Index | 154.25 | 132.2 |
| SimpleBench | — | 27.7% |
| Kagi LLM Benchmark | — | 55.9% |
| Chess Puzzles | 43% | — |
| EnigmaEval | — | 0.6% |
| Mystery Game Puzzles | 30% | — |
| ForecastBench | — | 57.5 |

## Math

- Gemini 3.6 Flash: 57.3 (#40)
- Llama 4 Maverick: 26.0 (#262)

| Benchmark | Gemini 3.6 Flash | Llama 4 Maverick |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 94.2% | 20.6% |
| LMArena Math | 1505 | 1299 |
| FrontierMath (Tiers 1-3) | 58.9% | — |
| FrontierMath Tier 4 | 22% | — |
| MathArena Final-Answer Competitions | 70.8% | — |
| ProofBench | 36% | — |
| Omni-MATH | — | 42.2% |
| MATH Level 5 | — | 73% |
| FrontierMath (Feb 2025 set) | — | 0.7% |

## Knowledge

- Gemini 3.6 Flash: 67.8 (#8)
- Llama 4 Maverick: 33.4 (#204)

| Benchmark | Gemini 3.6 Flash | Llama 4 Maverick |
|---|---|---|
| GPQA Diamond | 94.1% | 67% |
| LMArena Expert | 1488 | 1259 |
| Humanity's Last Exam | — | 5.7% |
| SimpleQA Verified | 66.2% | — |
| MMLU-Pro | — | 81% |
| Confabulations | — | 22.6% |
| Vectara Hallucination Rate | — | 8.2% |
| GPQA (HELM) | — | 65% |

## Multimodal

- Gemini 3.6 Flash: 38.5 (#64)
- Llama 4 Maverick: 31.6 (#105)

| Benchmark | Gemini 3.6 Flash | Llama 4 Maverick |
|---|---|---|
| LMArena Vision | 1298 | 1142 |
| GeoBench | — | 52% |
| Blueprint-Bench 2 | 31.2% | — |
| Furniture Assembly | 23.3% | — |
| LMArena Document | 1456 | — |
| SpatialViz-Bench | — | 31.8% |

## Multilingual

- Gemini 3.6 Flash: 56.5 (#19)
- Llama 4 Maverick: 42.2 (#195)

| Benchmark | Gemini 3.6 Flash | Llama 4 Maverick |
|---|---|---|
| LMArena Non-English | 1469 | 1269 |
| LMArena Chinese | 1531 | 1277 |
| LMArena French | 1504 | 1259 |
| LMArena German | 1478 | 1291 |
| LMArena Japanese | 1476 | 1207 |
| LMArena Korean | 1431 | 1203 |
| LMArena Russian | 1487 | 1286 |
| LMArena Spanish | 1475 | 1293 |

## Instruction Following

- Gemini 3.6 Flash: 77.0 (#33)
- Llama 4 Maverick: 71.7 (#146)

| Benchmark | Gemini 3.6 Flash | Llama 4 Maverick |
|---|---|---|
| LMArena Instruction Following | 1466 | 1267 |
| IFEval | — | 90.8% |

## Long Context

- Gemini 3.6 Flash: 45.1 (#50)
- Llama 4 Maverick: 31.4 (#279)

| Benchmark | Gemini 3.6 Flash | Llama 4 Maverick |
|---|---|---|
| LMArena Longer Query | 1474 | 1280 |
| Fiction.LiveBench | — | 46.2% |

## Writing & Preference

- Gemini 3.6 Flash: 68.2 (#27)
- Llama 4 Maverick: 38.8 (#252)

| Benchmark | Gemini 3.6 Flash | Llama 4 Maverick |
|---|---|---|
| LMArena Text | 1479 | 1287 |
| LMArena Creative Writing | 1465 | 1267 |
| EQ-Bench Creative Writing | 1604 | 860 |
| LMArena Multi-Turn | 1481 | 1289 |
| Short-Story Creative Writing | — | 62% |
| WildBench | — | 80% |

## FAQ

### Is Gemini 3.6 Flash better than Llama 4 Maverick?

Gemini 3.6 Flash is the stronger model overall, scoring 54.1 to 30.9 on the Noometry Index. Llama 4 Maverick costs 4.9× less per token, which makes it the better buy when Gemini 3.6 Flash's lead doesn't matter for your workload.

### Which is cheaper, Gemini 3.6 Flash or Llama 4 Maverick?

Llama 4 Maverick is cheaper. It lists at $0.19 per million input tokens and $0.65 per million output tokens; Gemini 3.6 Flash lists at $0.75 and $3.75.

### Is Gemini 3.6 Flash or Llama 4 Maverick better for coding?

Gemini 3.6 Flash scores higher on coding benchmarks: 50.0 versus 26.6 in the Noometry coding category.

### Which has the bigger context window?

Gemini 3.6 Flash does, with 1.05M tokens against 128K.

### How many benchmarks do Gemini 3.6 Flash and Llama 4 Maverick share?

31 benchmarks have published results for both models. Gemini 3.6 Flash has 46 scored results on Noometry and Llama 4 Maverick has 54.