# Inkling vs Qwen3.7 Max

> Qwen3.7 Max is the stronger model overall, scoring 51.5 to 44.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/inkling-vs-qwen3-7-max
- Last updated: 2026-10-11
- Shared benchmarks: 28

## Summary

- They share 28 benchmarks with published results for both. Inkling scores higher in 2 categories and Qwen3.7 Max in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.7 Max leads 62.4 to 31.3.
- The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 33.3% for Inkling and 64.6% for Qwen3.7 Max.
- Inkling is cheaper at $1.87 / $4.68 per million input/output tokens, against $2.50 / $7.50 for Qwen3.7 Max.
- Qwen3.7 Max accepts more context: 1M tokens versus 66K.
- Inkling has downloadable open weights; the other is API-only.

## Snapshot

| | Inkling | Qwen3.7 Max |
|---|---|---|
| Provider | Thinking Machines Lab | Alibaba (Qwen) |
| Noometry Index | 44.1 | 51.5 |
| Rank | 80 | 42 |
| Context | 66K | 1M |
| Input $/M | $1.87 | $2.50 |
| Output $/M | $4.68 | $7.50 |
| Weights | Open | Proprietary |

## Coding

- Inkling: 34.5 (#234)
- Qwen3.7 Max: 50.4 (#45)

| Benchmark | Inkling | Qwen3.7 Max |
|---|---|---|
| LMArena WebDev | 1413 | 1515 |
| SciCode | 47% | 48.8% |
| LMArena Coding | 1464 | 1498 |
| ALE-Bench | 946 | 1,189 |
| SWE-bench Verified | — | 77.3% |
| FrontierCode | 14% | — |
| FrontierSWE | 4.1% | — |
| WeirdML | 32.3% | — |

## Agentic & Tool Use

- Inkling: 29.6 (#85)
- Qwen3.7 Max: 22.1 (#135)

| Benchmark | Inkling | Qwen3.7 Max |
|---|---|---|
| APEX-Agents | 33.8% | — |
| τ²-bench Banking | 25% | — |
| GBAEval | — | 0.4% |

## Reasoning

- Inkling: 40.4 (#56)
- Qwen3.7 Max: 49.2 (#38)

| Benchmark | Inkling | Qwen3.7 Max |
|---|---|---|
| SimpleBench | 50% | 70.4% |
| CritPt | 5.4% | 13.4% |
| Chess Puzzles | 21% | 19% |
| LMArena Hard Prompts | 1451 | 1483 |
| DTBench | 87.5% | 92.3% |
| LMCA | 37.6% | 44% |
| Epoch Capabilities Index | 148.54 | 153.68 |
| ARC-AGI-2 | 36.5% | — |
| NYT Connections (extended) | — | 85.1% |
| ARC-AGI-1 | 79.5% | — |
| EBR-Bench | — | 9.5% |
| Mystery Game Puzzles | — | 32% |

## Math

- Inkling: 31.3 (#225)
- Qwen3.7 Max: 62.4 (#32)

| Benchmark | Inkling | Qwen3.7 Max |
|---|---|---|
| FrontierMath (Tiers 1-3) | 33.3% | 64.6% |
| FrontierMath Tier 4 | 4.9% | 34.1% |
| OTIS Mock AIME 2024-2025 | 88.9% | 95.6% |
| ProofBench | 0% | 26% |
| LMArena Math | 1479 | 1490 |

## Knowledge

- Inkling: 55.1 (#49)
- Qwen3.7 Max: 61.6 (#28)

| Benchmark | Inkling | Qwen3.7 Max |
|---|---|---|
| GPQA Diamond | 88.3% | 90.9% |
| SimpleQA Verified | 40.3% | 55.8% |
| LMArena Expert | 1465 | 1488 |

## Multilingual

- Inkling: 54.0 (#52)
- Qwen3.7 Max: 56.9 (#15)

| Benchmark | Inkling | Qwen3.7 Max |
|---|---|---|
| LMArena Non-English | 1434 | 1474 |
| LMArena Chinese | 1490 | 1530 |
| LMArena Russian | 1429 | 1484 |
| LMArena French | 1458 | — |
| LMArena German | 1446 | — |
| LMArena Japanese | 1429 | — |
| LMArena Korean | 1404 | — |
| LMArena Spanish | 1448 | — |

## Instruction Following

- Inkling: 75.1 (#71)
- Qwen3.7 Max: 76.7 (#38)

| Benchmark | Inkling | Qwen3.7 Max |
|---|---|---|
| LMArena Instruction Following | 1426 | 1460 |

## Long Context

- Inkling: 43.8 (#86)
- Qwen3.7 Max: 45.4 (#40)

| Benchmark | Inkling | Qwen3.7 Max |
|---|---|---|
| LMArena Longer Query | 1434 | 1482 |

## Writing & Preference

- Inkling: 65.2 (#51)
- Qwen3.7 Max: 65.0 (#54)

| Benchmark | Inkling | Qwen3.7 Max |
|---|---|---|
| LMArena Text | 1441 | 1476 |
| LMArena Creative Writing | 1387 | 1449 |
| EQ-Bench 4 | 1226 | 1110 |
| LMArena Multi-Turn | 1436 | 1481 |
| EQ-Bench Creative Writing | 1611 | — |

## FAQ

### Is Inkling better than Qwen3.7 Max?

Qwen3.7 Max is the stronger model overall, scoring 51.5 to 44.1 on the Noometry Index.

### Which is cheaper, Inkling or Qwen3.7 Max?

Inkling is cheaper. It lists at $1.87 per million input tokens and $4.68 per million output tokens; Qwen3.7 Max lists at $2.50 and $7.50.

### Is Inkling or Qwen3.7 Max better for coding?

Qwen3.7 Max scores higher on coding benchmarks: 50.4 versus 34.5 in the Noometry coding category.

### Which has the bigger context window?

Qwen3.7 Max does, with 1M tokens against 66K.

### How many benchmarks do Inkling and Qwen3.7 Max share?

28 benchmarks have published results for both models. Inkling has 41 scored results on Noometry and Qwen3.7 Max has 33.