# Claude Opus 5 vs Llama-3.3-70B-Instruct

> Claude Opus 5 is the stronger model overall, scoring 67.7 to 30.3 on the Noometry Index. Llama-3.3-70B-Instruct costs 65× less per token, which makes it the better buy when Claude Opus 5's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/claude-opus-5-vs-llama-3-3-70b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 27

## Summary

- They share 27 benchmarks with published results for both. Claude Opus 5 scores higher in 9 categories and Llama-3.3-70B-Instruct in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Opus 5 leads 86.1 to 14.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.9% for Claude Opus 5 and 5.1% for Llama-3.3-70B-Instruct.
- Llama-3.3-70B-Instruct is cheaper at $0.10 / $0.32 per million input/output tokens, against $5 / $25 for Claude Opus 5.
- Claude Opus 5 accepts more context: 1M tokens versus 128K.
- Llama-3.3-70B-Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Opus 5 | Llama-3.3-70B-Instruct |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 67.7 | 30.3 |
| Rank | 4 | 283 |
| Context | 1M | 128K |
| Input $/M | $5 | $0.10 |
| Output $/M | $25 | $0.32 |
| Weights | Proprietary | Open |

## Coding

- Claude Opus 5: 67.0 (#5)
- Llama-3.3-70B-Instruct: 30.6 (#284)

| Benchmark | Claude Opus 5 | Llama-3.3-70B-Instruct |
|---|---|---|
| SciCode | 56.4% | 26% |
| WeirdML | 91.8% | 14.4% |
| LMArena Coding | 1533 | 1268 |
| DeepSWE | 73.6% | — |
| FrontierCode | 53.4% | — |
| CursorBench | 46.6% | — |
| LMArena WebDev | 1694 | — |
| FrontierSWE | 52% | — |
| BigCodeBench Instruct | — | 46.9% |
| LiveBench Coding | — | 36.6% |
| BigCodeBench Complete | — | 57.5% |
| ALE-Bench | 2,165 | — |

## Agentic & Tool Use

- Claude Opus 5: 55.5 (#1)
- Llama-3.3-70B-Instruct: 25.6 (#100)

| Benchmark | Claude Opus 5 | Llama-3.3-70B-Instruct |
|---|---|---|
| BALROG | 63.4% | 23% |
| APEX-Agents | 65.8% | — |
| Berkeley Function Calling Leaderboard | — | 31.9% |
| OSWorld 2.0 | 31.4% | — |
| τ²-bench Banking | 48.7% | — |
| PostTrainBench | 35% | — |
| GBAEval | 79.6% | — |
| GDP.pdf | 24% | — |
| Vending-Bench 2 | 11,182 | — |

## Reasoning

- Claude Opus 5: 77.1 (#3)
- Llama-3.3-70B-Instruct: 13.7 (#325)

| Benchmark | Claude Opus 5 | Llama-3.3-70B-Instruct |
|---|---|---|
| SimpleBench | 80.6% | 19.9% |
| CritPt | 29.1% | 0% |
| LMArena Hard Prompts | 1525 | 1257 |
| DTBench | 97.9% | 59.5% |
| LMCA | 64.5% | 17.5% |
| Epoch Capabilities Index | 162.67 | 127.32 |
| ARC-AGI-2 | 90.4% | — |
| NYT Connections (extended) | 94.3% | — |
| ARC-AGI-1 | 97.5% | — |
| Chess Puzzles | 42% | — |
| EBR-Bench | 45.7% | — |
| LiveBench Reasoning | — | 50.8% |
| Mystery Game Puzzles | 59% | — |
| LiveBench Data Analysis | — | 49.5% |
| Bench to the Future 3 | 0.12 | — |
| ForecastBench | — | 58.6 |
| LiveBench | — | 50.2% |

## Math

- Claude Opus 5: 86.1 (#6)
- Llama-3.3-70B-Instruct: 14.3 (#292)

| Benchmark | Claude Opus 5 | Llama-3.3-70B-Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 98.9% | 5.1% |
| LMArena Math | 1533 | 1268 |
| FrontierMath (Tiers 1-3) | 85.6% | — |
| FrontierMath Tier 4 | 73.2% | — |
| ProofBench | 99% | — |
| LiveBench Math | — | 42.2% |
| MATH Level 5 | — | 41.6% |

## Knowledge

- Claude Opus 5: 66.8 (#8)
- Llama-3.3-70B-Instruct: 30.5 (#220)

| Benchmark | Claude Opus 5 | Llama-3.3-70B-Instruct |
|---|---|---|
| GPQA Diamond | 93.9% | 47.4% |
| LMArena Expert | 1558 | 1225 |
| SimpleQA Verified | 59.9% | — |
| Confabulations | — | 22.8% |
| Vectara Hallucination Rate | — | 4.1% |
| MMLU | — | 86.3% |

## Multimodal

- Claude Opus 5: 51.1 (#6)
- Llama-3.3-70B-Instruct: —

| Benchmark | Claude Opus 5 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Vision | 1321 | — |
| Blueprint-Bench 2 | 30.4% | — |
| Furniture Assembly | 60.8% | — |
| LMArena Document | 1516 | — |

## Multilingual

- Claude Opus 5: 58.8 (#3)
- Llama-3.3-70B-Instruct: 40.1 (#215)

| Benchmark | Claude Opus 5 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Non-English | 1500 | 1236 |
| LMArena Chinese | 1575 | 1217 |
| LMArena French | 1522 | 1280 |
| LMArena German | 1522 | 1251 |
| LMArena Japanese | 1510 | 1149 |
| LMArena Korean | 1526 | 1142 |
| LMArena Russian | 1507 | 1252 |
| LMArena Spanish | 1519 | 1269 |

## Instruction Following

- Claude Opus 5: 79.3 (#5)
- Llama-3.3-70B-Instruct: 71.3 (#152)

| Benchmark | Claude Opus 5 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Instruction Following | 1516 | 1242 |
| LiveBench Instruction Following | — | 82.7% |

## Long Context

- Claude Opus 5: 46.5 (#20)
- Llama-3.3-70B-Instruct: 26.4 (#290)

| Benchmark | Claude Opus 5 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Longer Query | 1516 | 1256 |
| Fiction.LiveBench | — | 33.3% |

## Writing & Preference

- Claude Opus 5: 79.3 (#2)
- Llama-3.3-70B-Instruct: 47.8 (#203)

| Benchmark | Claude Opus 5 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Text | 1506 | 1274 |
| LMArena Creative Writing | 1491 | 1250 |
| LMArena Multi-Turn | 1496 | 1279 |
| EQ-Bench Creative Writing | 2133 | — |
| EQ-Bench 4 | 1385 | — |
| LiveBench Language | — | 39.2% |

## FAQ

### Is Claude Opus 5 better than Llama-3.3-70B-Instruct?

Claude Opus 5 is the stronger model overall, scoring 67.7 to 30.3 on the Noometry Index. Llama-3.3-70B-Instruct costs 65× less per token, which makes it the better buy when Claude Opus 5's lead doesn't matter for your workload.

### Which is cheaper, Claude Opus 5 or Llama-3.3-70B-Instruct?

Llama-3.3-70B-Instruct is cheaper. It lists at $0.10 per million input tokens and $0.32 per million output tokens; Claude Opus 5 lists at $5 and $25.

### Is Claude Opus 5 or Llama-3.3-70B-Instruct better for coding?

Claude Opus 5 scores higher on coding benchmarks: 67.0 versus 30.6 in the Noometry coding category.

### Which has the bigger context window?

Claude Opus 5 does, with 1M tokens against 128K.

### How many benchmarks do Claude Opus 5 and Llama-3.3-70B-Instruct share?

27 benchmarks have published results for both models. Claude Opus 5 has 57 scored results on Noometry and Llama-3.3-70B-Instruct has 43.