# Claude Fable 5.1 vs Llama-3.3-70B-Instruct

> Claude Fable 5.1 is the stronger model overall, scoring 69.0 to 30.6 on the Noometry Index. Llama-3.3-70B-Instruct costs 129× less per token, which makes it the better buy when Claude Fable 5.1's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/claude-fable-5-1-vs-llama-3-3-70b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 24

## Summary

- They share 24 benchmarks with published results for both. Claude Fable 5.1 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 Fable 5.1 leads 89.6 to 15.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for Claude Fable 5.1 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 $10 / $50 for Claude Fable 5.1.
- Claude Fable 5.1 accepts more context: 1M tokens versus 128K.
- Llama-3.3-70B-Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Fable 5.1 | Llama-3.3-70B-Instruct |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 69.0 | 30.6 |
| Rank | 2 | 291 |
| Context | 1M | 128K |
| Input $/M | $10 | $0.10 |
| Output $/M | $50 | $0.32 |
| Weights | Proprietary | Open |

## Coding

- Claude Fable 5.1: 74.7 (#1)
- Llama-3.3-70B-Instruct: 31.0 (#290)

| Benchmark | Claude Fable 5.1 | Llama-3.3-70B-Instruct |
|---|---|---|
| SciCode | 63.1% | 26% |
| WeirdML | 92.9% | 14.4% |
| LMArena Coding | 1528 | 1268 |
| FrontierCode | 50.9% | — |
| CursorBench | 51.8% | — |
| LMArena WebDev | 1744 | — |
| FrontierSWE | 56.3% | — |
| GSO | 88.2% | — |
| BigCodeBench Instruct | — | 46.9% |
| LiveBench Coding | — | 36.6% |
| MirrorCode | 73.3% | — |
| BigCodeBench Complete | — | 57.5% |
| ALE-Bench | 2,143 | — |

## Agentic & Tool Use

- Claude Fable 5.1: 50.7 (#5)
- Llama-3.3-70B-Instruct: 25.8 (#105)

| Benchmark | Claude Fable 5.1 | Llama-3.3-70B-Instruct |
|---|---|---|
| APEX-Agents | 68.6% | — |
| Berkeley Function Calling Leaderboard | — | 31.9% |
| Remote Labor Index | 17.9% | — |
| BALROG | — | 23% |
| GDP.pdf | 29.6% | — |
| Vending-Bench 2 | 5,422 | — |

## Reasoning

- Claude Fable 5.1: 76.7 (#7)
- Llama-3.3-70B-Instruct: 14.1 (#327)

| Benchmark | Claude Fable 5.1 | Llama-3.3-70B-Instruct |
|---|---|---|
| CritPt | 31.1% | 0% |
| LMArena Hard Prompts | 1526 | 1257 |
| DTBench | 97.6% | 59.5% |
| LMCA | 65.5% | 17.5% |
| Epoch Capabilities Index | 164.7 | 127.33 |
| ARC-AGI-2 | 90% | — |
| SimpleBench | — | 19.9% |
| NYT Connections (extended) | 90% | — |
| ARC-AGI-1 | 97.5% | — |
| Chess Puzzles | 47% | — |
| EBR-Bench | 57.1% | — |
| LiveBench Reasoning | — | 50.8% |
| Mystery Game Puzzles | 58% | — |
| LiveBench Data Analysis | — | 49.5% |
| ForecastBench | — | 58.6 |
| LiveBench | — | 50.2% |

## Math

- Claude Fable 5.1: 89.6 (#4)
- Llama-3.3-70B-Instruct: 15.3 (#298)

| Benchmark | Claude Fable 5.1 | Llama-3.3-70B-Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 5.1% |
| LMArena Math | 1525 | 1267 |
| FrontierMath (Tiers 1-3) | 90.2% | — |
| FrontierMath Tier 4 | 87.8% | — |
| ProofBench | 100% | — |
| LiveBench Math | — | 42.2% |
| MATH Level 5 | — | 41.6% |
| FrontierMath Erdős | 0% | — |

## Knowledge

- Claude Fable 5.1: 69.6 (#6)
- Llama-3.3-70B-Instruct: 30.6 (#226)

| Benchmark | Claude Fable 5.1 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Expert | 1535 | 1225 |
| GPQA Diamond | — | 47.4% |
| Humanity's Last Exam | 46.5% | — |
| SimpleQA Verified | 70.8% | — |
| Confabulations | — | 22.8% |
| Vectara Hallucination Rate | — | 4.1% |
| MMLU | — | 86.3% |

## Multimodal

- Claude Fable 5.1: 53.9 (#4)
- Llama-3.3-70B-Instruct: —

| Benchmark | Claude Fable 5.1 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Vision | 1318 | — |
| Blueprint-Bench 2 | 41.9% | — |
| Furniture Assembly | 70% | — |
| LMArena Document | 1513 | — |

## Multilingual

- Claude Fable 5.1: 59.1 (#3)
- Llama-3.3-70B-Instruct: 39.9 (#220)

| Benchmark | Claude Fable 5.1 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Non-English | 1507 | 1236 |
| LMArena Chinese | 1586 | 1217 |
| LMArena French | 1525 | 1281 |
| LMArena German | 1500 | 1251 |
| LMArena Japanese | 1543 | 1150 |
| LMArena Korean | 1534 | 1143 |
| LMArena Russian | 1521 | 1252 |
| LMArena Spanish | 1516 | 1270 |

## Instruction Following

- Claude Fable 5.1: 79.2 (#6)
- Llama-3.3-70B-Instruct: 71.1 (#157)

| Benchmark | Claude Fable 5.1 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Instruction Following | 1517 | 1242 |
| LiveBench Instruction Following | — | 82.7% |

## Long Context

- Claude Fable 5.1: 46.7 (#20)
- Llama-3.3-70B-Instruct: 26.4 (#295)

| Benchmark | Claude Fable 5.1 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Longer Query | 1522 | 1256 |
| Fiction.LiveBench | — | 33.3% |

## Writing & Preference

- Claude Fable 5.1: 79.2 (#2)
- Llama-3.3-70B-Instruct: 47.6 (#207)

| Benchmark | Claude Fable 5.1 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Text | 1510 | 1274 |
| LMArena Creative Writing | 1507 | 1250 |
| LMArena Multi-Turn | 1492 | 1280 |
| EQ-Bench Creative Writing | 2162 | — |
| LiveBench Language | — | 39.2% |

## FAQ

### Is Claude Fable 5.1 better than Llama-3.3-70B-Instruct?

Claude Fable 5.1 is the stronger model overall, scoring 69.0 to 30.6 on the Noometry Index. Llama-3.3-70B-Instruct costs 129× less per token, which makes it the better buy when Claude Fable 5.1's lead doesn't matter for your workload.

### Which is cheaper, Claude Fable 5.1 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 Fable 5.1 lists at $10 and $50.

### Is Claude Fable 5.1 or Llama-3.3-70B-Instruct better for coding?

Claude Fable 5.1 scores higher on coding benchmarks: 74.7 versus 31.0 in the Noometry coding category.

### Which has the bigger context window?

Claude Fable 5.1 does, with 1M tokens against 128K.

### How many benchmarks do Claude Fable 5.1 and Llama-3.3-70B-Instruct share?

24 benchmarks have published results for both models. Claude Fable 5.1 has 52 scored results on Noometry and Llama-3.3-70B-Instruct has 43.