# Inkling vs Llama 3.2 90B

> Inkling is the stronger model overall, scoring 44.1 to 27.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/inkling-vs-llama-3-2-90b
- Last updated: 2026-10-10
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. Inkling scores higher in 3 categories and Llama 3.2 90B in 1 category; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Inkling leads 55.1 to 21.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 88.9% for Inkling and 2.6% for Llama 3.2 90B.

## Snapshot

| | Inkling | Llama 3.2 90B |
|---|---|---|
| Provider | Thinking Machines Lab | Meta |
| Noometry Index | 44.1 | 27.5 |
| Rank | 80 | 331 |
| Context | 66K | — |
| Input $/M | $1.87 | — |
| Output $/M | $4.68 | — |
| Weights | Open | Open |

## Coding

- Inkling: 34.5 (#234)
- Llama 3.2 90B: —

| Benchmark | Inkling | Llama 3.2 90B |
|---|---|---|
| FrontierCode | 14% | — |
| LMArena WebDev | 1413 | — |
| FrontierSWE | 4.1% | — |
| SciCode | 47% | — |
| WeirdML | 32.3% | — |
| LMArena Coding | 1464 | — |
| ALE-Bench | 946 | — |

## Agentic & Tool Use

- Inkling: 29.6 (#85)
- Llama 3.2 90B: 30.0 (#80)

| Benchmark | Inkling | Llama 3.2 90B |
|---|---|---|
| APEX-Agents | 33.8% | — |
| τ²-bench Banking | 25% | — |
| BALROG | — | 27.3% |

## Reasoning

- Inkling: 40.4 (#56)
- Llama 3.2 90B: 21.7 (#217)

| Benchmark | Inkling | Llama 3.2 90B |
|---|---|---|
| Epoch Capabilities Index | 148.54 | 125.5 |
| ARC-AGI-2 | 36.5% | — |
| SimpleBench | 50% | — |
| ARC-AGI-1 | 79.5% | — |
| CritPt | 5.4% | — |
| Chess Puzzles | 21% | — |
| EnigmaEval | — | 0.4% |
| LMArena Hard Prompts | 1451 | — |
| DTBench | 87.5% | — |
| LMCA | 37.6% | — |

## Math

- Inkling: 31.3 (#225)
- Llama 3.2 90B: 11.1 (#308)

| Benchmark | Inkling | Llama 3.2 90B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 88.9% | 2.6% |
| FrontierMath (Tiers 1-3) | 33.3% | — |
| FrontierMath Tier 4 | 4.9% | — |
| ProofBench | 0% | — |
| LMArena Math | 1479 | — |
| MATH Level 5 | — | 39.4% |

## Knowledge

- Inkling: 55.1 (#49)
- Llama 3.2 90B: 21.7 (#274)

| Benchmark | Inkling | Llama 3.2 90B |
|---|---|---|
| GPQA Diamond | 88.3% | 41% |
| SimpleQA Verified | 40.3% | — |
| LMArena Expert | 1465 | — |
| MMLU | — | 80.3% |

## Multimodal

- Inkling: —
- Llama 3.2 90B: 25.4 (#124)

| Benchmark | Inkling | Llama 3.2 90B |
|---|---|---|
| LMArena Vision | — | 1000 |
| GeoBench | — | 52% |

## Multilingual

- Inkling: 54.0 (#52)
- Llama 3.2 90B: —

| Benchmark | Inkling | Llama 3.2 90B |
|---|---|---|
| LMArena Non-English | 1434 | — |
| LMArena Chinese | 1490 | — |
| LMArena French | 1458 | — |
| LMArena German | 1446 | — |
| LMArena Japanese | 1429 | — |
| LMArena Korean | 1404 | — |
| LMArena Russian | 1429 | — |
| LMArena Spanish | 1448 | — |

## Instruction Following

- Inkling: 75.1 (#71)
- Llama 3.2 90B: —

| Benchmark | Inkling | Llama 3.2 90B |
|---|---|---|
| LMArena Instruction Following | 1426 | — |

## Long Context

- Inkling: 43.8 (#86)
- Llama 3.2 90B: —

| Benchmark | Inkling | Llama 3.2 90B |
|---|---|---|
| LMArena Longer Query | 1434 | — |

## Writing & Preference

- Inkling: 65.2 (#51)
- Llama 3.2 90B: —

| Benchmark | Inkling | Llama 3.2 90B |
|---|---|---|
| LMArena Text | 1441 | — |
| LMArena Creative Writing | 1387 | — |
| EQ-Bench Creative Writing | 1611 | — |
| EQ-Bench 4 | 1226 | — |
| LMArena Multi-Turn | 1436 | — |

## FAQ

### Is Inkling better than Llama 3.2 90B?

Inkling is the stronger model overall, scoring 44.1 to 27.5 on the Noometry Index.

### How many benchmarks do Inkling and Llama 3.2 90B share?

3 benchmarks have published results for both models. Inkling has 41 scored results on Noometry and Llama 3.2 90B has 9.