# Inkling vs Qwen3 235B-A22B

> Inkling and Qwen3 235B-A22B score almost the same on the Noometry Index (44.1 vs 43.2), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/inkling-vs-qwen3-235b-a22b
- Last updated: 2026-10-10
- Shared benchmarks: 31

## Summary

- They share 31 benchmarks with published results for both. Inkling scores higher in 5 categories and Qwen3 235B-A22B in 4 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Inkling leads 40.6 to 15.8.
- The biggest single-benchmark swing is ARC-AGI-1: 79.5% for Inkling and 11% for Qwen3 235B-A22B.
- Qwen3 235B-A22B is cheaper at $0.70 / $2.80 per million input/output tokens, against $1.87 / $4.68 for Inkling.
- Qwen3 235B-A22B accepts more context: 131K tokens versus 66K.

## Snapshot

| | Inkling | Qwen3 235B-A22B |
|---|---|---|
| Provider | Thinking Machines Lab | Alibaba (Qwen) |
| Noometry Index | 44.1 | 43.2 |
| Rank | 75 | 83 |
| Context | 66K | 131K |
| Input $/M | $1.87 | $0.70 |
| Output $/M | $4.68 | $2.80 |
| Weights | Open | Open |

## Coding

- Inkling: 34.1 (#229)
- Qwen3 235B-A22B: 43.8 (#72)

| Benchmark | Inkling | Qwen3 235B-A22B |
|---|---|---|
| SciCode | 47% | 42.4% |
| WeirdML | 32.3% | 41% |
| LMArena Coding | 1463 | 1445 |
| FrontierCode | 14% | — |
| Aider Polyglot | — | 59.6% |
| LMArena WebDev | 1412 | — |
| FrontierSWE | 4.1% | — |
| ALE-Bench | 946 | — |

## Agentic & Tool Use

- Inkling: 29.5 (#76)
- Qwen3 235B-A22B: 33.7 (#48)

| Benchmark | Inkling | Qwen3 235B-A22B |
|---|---|---|
| APEX-Agents | 33.8% | — |
| Berkeley Function Calling Leaderboard | — | 52.1% |
| τ²-bench Banking | 25% | — |
| Vending-Bench 2 | — | -11.34 |

## Reasoning

- Inkling: 40.6 (#48)
- Qwen3 235B-A22B: 15.8 (#302)

| Benchmark | Inkling | Qwen3 235B-A22B |
|---|---|---|
| ARC-AGI-2 | 36.5% | 1.3% |
| SimpleBench | 50% | 31% |
| ARC-AGI-1 | 79.5% | 11% |
| CritPt | 5.4% | 0% |
| Chess Puzzles | 21% | 12% |
| LMArena Hard Prompts | 1452 | 1433 |
| DTBench | 87.5% | 80.3% |
| LMCA | 37.6% | 29.3% |
| Epoch Capabilities Index | 148.6 | 143.87 |
| Kagi LLM Benchmark | — | 69.4% |
| Mystery Game Puzzles | — | 9% |
| ForecastBench | — | 59.7 |

## Math

- Inkling: 31.2 (#198)
- Qwen3 235B-A22B: 48.5 (#51)

| Benchmark | Inkling | Qwen3 235B-A22B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 88.9% | 86.7% |
| LMArena Math | 1482 | 1431 |
| FrontierMath (Tiers 1-3) | 33.3% | — |
| FrontierMath Tier 4 | 4.9% | — |
| ProofBench | 0% | — |
| Omni-MATH | — | 71.8% |
| MATH Level 5 | — | 68.9% |
| FrontierMath (Feb 2025 set) | — | 8.5% |
| FrontierMath Tier 4 (v1) | — | 0% |

## Knowledge

- Inkling: 55.2 (#44)
- Qwen3 235B-A22B: 49.5 (#67)

| Benchmark | Inkling | Qwen3 235B-A22B |
|---|---|---|
| GPQA Diamond | 88.3% | 80.1% |
| SimpleQA Verified | 40.3% | 40.4% |
| LMArena Expert | 1468 | 1460 |
| MMLU-Pro | — | 84.4% |
| Confabulations | — | 15.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 72.7% |

## Multilingual

- Inkling: 54.2 (#49)
- Qwen3 235B-A22B: 52.5 (#84)

| Benchmark | Inkling | Qwen3 235B-A22B |
|---|---|---|
| LMArena Non-English | 1434 | 1410 |
| LMArena Chinese | 1495 | 1481 |
| LMArena French | 1453 | 1445 |
| LMArena German | 1456 | 1432 |
| LMArena Japanese | 1428 | 1400 |
| LMArena Korean | 1401 | 1391 |
| LMArena Russian | 1430 | 1411 |
| LMArena Spanish | 1442 | 1429 |

## Instruction Following

- Inkling: 75.3 (#65)
- Qwen3 235B-A22B: 72.8 (#132)

| Benchmark | Inkling | Qwen3 235B-A22B |
|---|---|---|
| LMArena Instruction Following | 1427 | 1408 |
| IFEval | — | 83.5% |

## Long Context

- Inkling: 43.9 (#79)
- Qwen3 235B-A22B: 46.1 (#25)

| Benchmark | Inkling | Qwen3 235B-A22B |
|---|---|---|
| LMArena Longer Query | 1436 | 1426 |
| Fiction.LiveBench | — | 75% |

## Writing & Preference

- Inkling: 65.5 (#48)
- Qwen3 235B-A22B: 59.8 (#103)

| Benchmark | Inkling | Qwen3 235B-A22B |
|---|---|---|
| LMArena Text | 1443 | 1419 |
| LMArena Creative Writing | 1390 | 1384 |
| EQ-Bench Creative Writing | 1611 | 1366 |
| LMArena Multi-Turn | 1436 | 1432 |
| Short-Story Creative Writing | — | 83% |
| WildBench | — | 86.6% |
| EQ-Bench 4 | 1226 | — |

## FAQ

### Is Inkling better than Qwen3 235B-A22B?

Inkling and Qwen3 235B-A22B score almost the same on the Noometry Index (44.1 vs 43.2), so choose on price, context window or the category you care about most.

### Which is cheaper, Inkling or Qwen3 235B-A22B?

Qwen3 235B-A22B is cheaper. It lists at $0.70 per million input tokens and $2.80 per million output tokens; Inkling lists at $1.87 and $4.68.

### Is Inkling or Qwen3 235B-A22B better for coding?

Qwen3 235B-A22B scores higher on coding benchmarks: 43.8 versus 34.1 in the Noometry coding category.

### Which has the bigger context window?

Qwen3 235B-A22B does, with 131K tokens against 66K.

### How many benchmarks do Inkling and Qwen3 235B-A22B share?

31 benchmarks have published results for both models. Inkling has 41 scored results on Noometry and Qwen3 235B-A22B has 49.