# Inkling vs Laguna M.1

> Inkling is the stronger model overall, scoring 44.1 to 32.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/inkling-vs-laguna-m-1
- Last updated: 2026-10-10
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. Inkling scores higher in 2 categories and Laguna M.1 in 1 category; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Inkling leads 40.4 to 23.1.
- Laguna M.1 accepts more context: 262K tokens versus 66K.

## Snapshot

| | Inkling | Laguna M.1 |
|---|---|---|
| Provider | Thinking Machines Lab | Poolside |
| Noometry Index | 44.1 | 32.5 |
| Rank | 80 | 256 |
| Context | 66K | 262K |
| Input $/M | $1.87 | — |
| Output $/M | $4.68 | — |
| Weights | Open | Open |

## Coding

- Inkling: 34.5 (#234)
- Laguna M.1: 36.6 (#204)

| Benchmark | Inkling | Laguna M.1 |
|---|---|---|
| LMArena WebDev | 1413 | 1349 |
| FrontierCode | 14% | — |
| FrontierSWE | 4.1% | — |
| SciCode | 47% | — |
| WeirdML | 32.3% | — |
| LMArena Coding | 1464 | — |
| ALE-Bench | 946 | — |

## Agentic & Tool Use

- Inkling: 29.6 (#85)
- Laguna M.1: —

| Benchmark | Inkling | Laguna M.1 |
|---|---|---|
| APEX-Agents | 33.8% | — |
| τ²-bench Banking | 25% | — |

## Reasoning

- Inkling: 40.4 (#56)
- Laguna M.1: 23.1 (#184)

| Benchmark | Inkling | Laguna M.1 |
|---|---|---|
| ARC-AGI-2 | 36.5% | — |
| SimpleBench | 50% | — |
| ARC-AGI-1 | 79.5% | — |
| CritPt | 5.4% | — |
| Chess Puzzles | 21% | — |
| LMArena Hard Prompts | 1451 | — |
| DTBench | 87.5% | — |
| LMCA | 37.6% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 148.54 | — |

## Math

- Inkling: 31.3 (#225)
- Laguna M.1: 21.1 (#283)

| Benchmark | Inkling | Laguna M.1 |
|---|---|---|
| ProofBench | 0% | 0% |
| FrontierMath (Tiers 1-3) | 33.3% | — |
| FrontierMath Tier 4 | 4.9% | — |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| LMArena Math | 1479 | — |

## Knowledge

- Inkling: 55.1 (#49)
- Laguna M.1: —

| Benchmark | Inkling | Laguna M.1 |
|---|---|---|
| GPQA Diamond | 88.3% | — |
| SimpleQA Verified | 40.3% | — |
| LMArena Expert | 1465 | — |

## Multilingual

- Inkling: 54.0 (#52)
- Laguna M.1: —

| Benchmark | Inkling | Laguna M.1 |
|---|---|---|
| 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)
- Laguna M.1: —

| Benchmark | Inkling | Laguna M.1 |
|---|---|---|
| LMArena Instruction Following | 1426 | — |

## Long Context

- Inkling: 43.8 (#86)
- Laguna M.1: —

| Benchmark | Inkling | Laguna M.1 |
|---|---|---|
| LMArena Longer Query | 1434 | — |

## Writing & Preference

- Inkling: 65.2 (#51)
- Laguna M.1: —

| Benchmark | Inkling | Laguna M.1 |
|---|---|---|
| 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 Laguna M.1?

Inkling is the stronger model overall, scoring 44.1 to 32.5 on the Noometry Index.

### Is Inkling or Laguna M.1 better for coding?

Laguna M.1 scores higher on coding benchmarks: 36.6 versus 34.5 in the Noometry coding category.

### Which has the bigger context window?

Laguna M.1 does, with 262K tokens against 66K.

### How many benchmarks do Inkling and Laguna M.1 share?

2 benchmarks have published results for both models. Inkling has 41 scored results on Noometry and Laguna M.1 has 3.