# Claude Opus 4.7 vs Llama 4 Maverick

> Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 30.9 on the Noometry Index. Llama 4 Maverick costs 33× less per token, which makes it the better buy when Claude Opus 4.7's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/claude-opus-4-7-vs-llama-4-maverick
- Last updated: 2026-10-12
- Shared benchmarks: 37

## Summary

- They share 37 benchmarks with published results for both. Claude Opus 4.7 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 Claude Opus 4.7 leads 53.8 to 10.1.
- The biggest single-benchmark swing is ARC-AGI-1: 93.5% for Claude Opus 4.7 and 4.4% for Llama 4 Maverick.
- Llama 4 Maverick is cheaper at $0.19 / $0.65 per million input/output tokens, against $5 / $25 for Claude Opus 4.7.
- Claude Opus 4.7 accepts more context: 1M tokens versus 128K.
- Llama 4 Maverick has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Opus 4.7 | Llama 4 Maverick |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 58.3 | 30.9 |
| Rank | 19 | 282 |
| Context | 1M | 128K |
| Input $/M | $5 | $0.19 |
| Output $/M | $25 | $0.65 |
| Weights | Proprietary | Open |

## Coding

- Claude Opus 4.7: 59.6 (#13)
- Llama 4 Maverick: 26.6 (#324)

| Benchmark | Claude Opus 4.7 | Llama 4 Maverick |
|---|---|---|
| SciCode | 54.5% | 33.1% |
| WeirdML | 76.4% | 24.5% |
| LMArena Coding | 1518 | 1302 |
| ALE-Bench | 1,323 | 172.97 |
| SWE-bench Verified | 83.5% | — |
| FrontierCode | 38.5% | — |
| SWE-bench Verified (bash only) | — | 21% |
| Aider Polyglot | — | 15.6% |
| LMArena WebDev | 1558 | — |
| GSO | 44.1% | — |
| BigCodeBench Instruct | — | 49.7% |
| MirrorCode | 31.1% | — |
| BigCodeBench Complete | — | 61.4% |

## Agentic & Tool Use

- Claude Opus 4.7: 47.9 (#10)
- Llama 4 Maverick: 28.2 (#91)

| Benchmark | Claude Opus 4.7 | Llama 4 Maverick |
|---|---|---|
| Terminal-Bench | 80.2% | — |
| APEX-Agents | 49.2% | — |
| Berkeley Function Calling Leaderboard | — | 37.3% |
| OSWorld 2.0 | 18.2% | — |
| τ²-bench Banking | 40.2% | — |
| PostTrainBench | 28.6% | — |
| ExploitBench | 26.5% | — |
| GBAEval | 43.8% | — |
| GDP.pdf | 21% | — |
| LMArena Search | 1233 | — |
| Vending-Bench 2 | 10,937 | — |

## Reasoning

- Claude Opus 4.7: 53.8 (#29)
- Llama 4 Maverick: 10.1 (#342)

| Benchmark | Claude Opus 4.7 | Llama 4 Maverick |
|---|---|---|
| ARC-AGI-2 | 75.8% | 0% |
| SimpleBench | 61.7% | 27.7% |
| Kagi LLM Benchmark | 80.7% | 55.9% |
| NYT Connections (extended) | 39% | 8% |
| ARC-AGI-1 | 93.5% | 4.4% |
| CritPt | 12% | 0% |
| LMArena Hard Prompts | 1506 | 1281 |
| DTBench | 94.7% | 61.9% |
| LMCA | 52.2% | 15.9% |
| Epoch Capabilities Index | 156.25 | 132.2 |
| ForecastBench | 60.3 | 57.5 |
| Chess Puzzles | 30% | — |
| EnigmaEval | — | 0.6% |
| Thematic Generalization | 72.8% | — |
| EBR-Bench | 19% | — |
| Mystery Game Puzzles | 28% | — |

## Math

- Claude Opus 4.7: 66.7 (#26)
- Llama 4 Maverick: 26.0 (#262)

| Benchmark | Claude Opus 4.7 | Llama 4 Maverick |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 97.8% | 20.6% |
| LMArena Math | 1499 | 1299 |
| FrontierMath (Feb 2025 set) | 43.8% | 0.7% |
| FrontierMath (Tiers 1-3) | 70.2% | — |
| FrontierMath Tier 4 | 31.7% | — |
| MathArena Final-Answer Competitions | 73.6% | — |
| ProofBench | 54% | — |
| Omni-MATH | — | 42.2% |
| MATH Level 5 | — | 73% |
| FrontierMath Tier 4 (v1) | 22.9% | — |

## Knowledge

- Claude Opus 4.7: 62.6 (#23)
- Llama 4 Maverick: 33.4 (#204)

| Benchmark | Claude Opus 4.7 | Llama 4 Maverick |
|---|---|---|
| GPQA Diamond | 90.2% | 67% |
| Humanity's Last Exam | 36.2% | 5.7% |
| Vectara Hallucination Rate | 12% | 8.2% |
| LMArena Expert | 1521 | 1259 |
| SimpleQA Verified | 51.7% | — |
| MMLU-Pro | — | 81% |
| Confabulations | — | 22.6% |
| GPQA (HELM) | — | 65% |

## Multimodal

- Claude Opus 4.7: 41.2 (#38)
- Llama 4 Maverick: 31.6 (#105)

| Benchmark | Claude Opus 4.7 | Llama 4 Maverick |
|---|---|---|
| LMArena Vision | 1316 | 1142 |
| GeoBench | — | 52% |
| Blueprint-Bench 2 | 24.5% | — |
| Furniture Assembly | 33.3% | — |
| LMArena Document | 1495 | — |
| SpatialViz-Bench | — | 31.8% |

## Multilingual

- Claude Opus 4.7: 57.3 (#10)
- Llama 4 Maverick: 42.2 (#195)

| Benchmark | Claude Opus 4.7 | Llama 4 Maverick |
|---|---|---|
| LMArena Non-English | 1480 | 1269 |
| LMArena Chinese | 1531 | 1277 |
| LMArena French | 1503 | 1259 |
| LMArena German | 1495 | 1291 |
| LMArena Japanese | 1472 | 1207 |
| LMArena Korean | 1464 | 1203 |
| LMArena Russian | 1494 | 1286 |
| LMArena Spanish | 1495 | 1293 |

## Instruction Following

- Claude Opus 4.7: 78.4 (#10)
- Llama 4 Maverick: 71.7 (#146)

| Benchmark | Claude Opus 4.7 | Llama 4 Maverick |
|---|---|---|
| LMArena Instruction Following | 1498 | 1267 |
| IFEval | — | 90.8% |

## Long Context

- Claude Opus 4.7: 46.2 (#25)
- Llama 4 Maverick: 31.4 (#279)

| Benchmark | Claude Opus 4.7 | Llama 4 Maverick |
|---|---|---|
| LMArena Longer Query | 1505 | 1280 |
| Fiction.LiveBench | — | 46.2% |

## Writing & Preference

- Claude Opus 4.7: 75.1 (#8)
- Llama 4 Maverick: 38.8 (#252)

| Benchmark | Claude Opus 4.7 | Llama 4 Maverick |
|---|---|---|
| LMArena Text | 1490 | 1287 |
| LMArena Creative Writing | 1486 | 1267 |
| EQ-Bench Creative Writing | 1914 | 860 |
| LMArena Multi-Turn | 1505 | 1289 |
| Short-Story Creative Writing | — | 62% |
| WildBench | — | 80% |
| EQ-Bench 4 | 1311 | — |

## FAQ

### Is Claude Opus 4.7 better than Llama 4 Maverick?

Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 30.9 on the Noometry Index. Llama 4 Maverick costs 33× less per token, which makes it the better buy when Claude Opus 4.7's lead doesn't matter for your workload.

### Which is cheaper, Claude Opus 4.7 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; Claude Opus 4.7 lists at $5 and $25.

### Is Claude Opus 4.7 or Llama 4 Maverick better for coding?

Claude Opus 4.7 scores higher on coding benchmarks: 59.6 versus 26.6 in the Noometry coding category.

### Which has the bigger context window?

Claude Opus 4.7 does, with 1M tokens against 128K.

### How many benchmarks do Claude Opus 4.7 and Llama 4 Maverick share?

37 benchmarks have published results for both models. Claude Opus 4.7 has 66 scored results on Noometry and Llama 4 Maverick has 54.