Model comparison
Inkling vs Qwen3-VL 235B-A22B
Inkling and Qwen3-VL 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.
Last verified . 17 shared benchmarks.
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Inkling scores higher in 6 categories and Qwen3-VL 235B-A22B in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Inkling leads 55.1 to 40.3.
- Qwen3-VL 235B-A22B is cheaper at $0.70 / $2.80 per million input/output tokens, against $1.87 / $4.68 for Inkling.
- Qwen3-VL 235B-A22B accepts more context: 131K tokens versus 66K.
Side by side
| Inkling | Qwen3-VL 235B-A22B | |
|---|---|---|
| Provider | Thinking Machines Lab | Alibaba (Qwen) |
| Noometry Index | 44.1 | 43.2 |
| Released | 2026-07-15 | 2025-04 |
| Weights | Open | Open |
| Context window | 66K | 131K |
| Max output | 66K | 33K |
| Input $ / M tokens | $1.87 | $0.70 |
| Output $ / M tokens | $4.68 | $2.80 |
| Results tracked | 41 | 18 |
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Category by category
Coding Qwen3-VL 235B-A22B leads
Inkling: 34.5 (#234), Qwen3-VL 235B-A22B: 42.4 (#100)
| Benchmark | Inkling | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Coding | 1464 | 1439 |
| FrontierCode | 14% | — |
| LMArena WebDev | 1413 | — |
| FrontierSWE | 4.1% | — |
| SciCode | 47% | — |
| WeirdML | 32.3% | — |
| ALE-Bench | 946 | — |
Agentic & Tool Use Not comparable
Inkling: 29.6 (#85), Qwen3-VL 235B-A22B: —
| Benchmark | Inkling | Qwen3-VL 235B-A22B |
|---|---|---|
| APEX-Agents | 33.8% | — |
| τ²-bench Banking | 25% | — |
Reasoning Inkling leads
Inkling: 40.4 (#56), Qwen3-VL 235B-A22B: 29.3 (#92)
| Benchmark | Inkling | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Hard Prompts | 1451 | 1428 |
| ARC-AGI-2 | 36.5% | — |
| SimpleBench | 50% | — |
| ARC-AGI-1 | 79.5% | — |
| CritPt | 5.4% | — |
| Chess Puzzles | 21% | — |
| DTBench | 87.5% | — |
| LMCA | 37.6% | — |
| Epoch Capabilities Index | 148.54 | — |
Math Qwen3-VL 235B-A22B leads
Inkling: 31.3 (#225), Qwen3-VL 235B-A22B: 39.0 (#118)
| Benchmark | Inkling | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Math | 1479 | 1426 |
| FrontierMath (Tiers 1-3) | 33.3% | — |
| FrontierMath Tier 4 | 4.9% | — |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| ProofBench | 0% | — |
Knowledge Inkling leads
Inkling: 55.1 (#49), Qwen3-VL 235B-A22B: 40.3 (#121)
| Benchmark | Inkling | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Expert | 1465 | 1442 |
| GPQA Diamond | 88.3% | — |
| SimpleQA Verified | 40.3% | — |
Multimodal Not comparable
Inkling: —, Qwen3-VL 235B-A22B: 39.8 (#55)
| Benchmark | Inkling | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Vision | — | 1247 |
Multilingual Inkling leads
Inkling: 54.0 (#52), Qwen3-VL 235B-A22B: 51.9 (#97)
| Benchmark | Inkling | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Non-English | 1434 | 1405 |
| LMArena Chinese | 1490 | 1463 |
| LMArena French | 1458 | 1452 |
| LMArena German | 1446 | 1424 |
| LMArena Japanese | 1429 | 1385 |
| LMArena Korean | 1404 | 1394 |
| LMArena Russian | 1429 | 1408 |
| LMArena Spanish | 1448 | 1428 |
Instruction Following Too close to call
Inkling: 75.1 (#71), Qwen3-VL 235B-A22B: 74.2 (#101)
| Benchmark | Inkling | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Instruction Following | 1426 | 1406 |
Long Context Too close to call
Inkling: 43.8 (#86), Qwen3-VL 235B-A22B: 43.4 (#98)
| Benchmark | Inkling | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Longer Query | 1434 | 1420 |
Writing & Preference Inkling leads
Inkling: 65.2 (#51), Qwen3-VL 235B-A22B: 60.2 (#99)
| Benchmark | Inkling | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Text | 1441 | 1420 |
| LMArena Creative Writing | 1387 | 1366 |
| LMArena Multi-Turn | 1436 | 1428 |
| EQ-Bench Creative Writing | 1611 | — |
| EQ-Bench 4 | 1226 | — |
Frequently asked questions
Is Inkling better than Qwen3-VL 235B-A22B?
Inkling and Qwen3-VL 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-VL 235B-A22B?
Qwen3-VL 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-VL 235B-A22B better for coding?
Qwen3-VL 235B-A22B scores higher on coding benchmarks: 42.4 versus 34.5 in the Noometry coding category.
Which has the bigger context window?
Qwen3-VL 235B-A22B does, with 131K tokens against 66K.
How many benchmarks do Inkling and Qwen3-VL 235B-A22B share?
17 benchmarks have published results for both models. Inkling has 41 scored results on Noometry and Qwen3-VL 235B-A22B has 18.