Model comparison
Inkling-Small vs Qwen-14B
Inkling-Small is the stronger model overall, scoring 46.5 to 31.4 on the Noometry Index.
Last verified . 11 shared benchmarks.
Alibaba (Qwen)Summary
- They share 11 benchmarks with published results for both. Inkling-Small scores higher in 7 categories and Qwen-14B in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Inkling-Small leads 59.6 to 27.6.
Side by side
| Inkling-Small | Qwen-14B | |
|---|---|---|
| Provider | Thinking Machines Lab | Alibaba (Qwen) |
| Noometry Index | 46.5 | 31.4 |
| Released | 2026-07-15 | 2023-09-24 |
| Weights | Open | Open |
| Context window | 524K | — |
| Max output | 1.05M | — |
| Input $ / M tokens | $0.45 | — |
| Output $ / M tokens | $1.20 | — |
| Results tracked | 33 | 18 |
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Category by category
Coding Inkling-Small leads
Inkling-Small: 43.6 (#85), Qwen-14B: 31.2 (#288)
| Benchmark | Inkling-Small | Qwen-14B |
|---|---|---|
| LMArena Coding | 1451 | 1071 |
| LMArena WebDev | 1409 | — |
| SciCode | 48.7% | — |
Reasoning Inkling-Small leads
Inkling-Small: 38.6 (#63), Qwen-14B: 19.6 (#257)
| Benchmark | Inkling-Small | Qwen-14B |
|---|---|---|
| LMArena Hard Prompts | 1423 | 1027 |
| Epoch Capabilities Index | 150.15 | 113.03 |
| ARC-AGI-2 | 40.1% | — |
| ARC-AGI-1 | 84% | — |
| CritPt | 8.3% | — |
| Chess Puzzles | 18% | — |
| Mystery Game Puzzles | 6% | — |
| BIG-Bench Hard | — | 55% |
| LAMBADA | — | 71.1% |
| PIQA | — | 79.9% |
Math Inkling-Small leads
Inkling-Small: 45.1 (#77), Qwen-14B: 31.2 (#227)
| Benchmark | Inkling-Small | Qwen-14B |
|---|---|---|
| LMArena Math | 1459 | 1068 |
| FrontierMath (Tiers 1-3) | 46.3% | — |
| FrontierMath Tier 4 | 17.1% | — |
| OTIS Mock AIME 2024-2025 | 90% | — |
| ProofBench | 6% | — |
| GSM8K | — | 61.3% |
Knowledge Not comparable
Inkling-Small: 48.2 (#77), Qwen-14B: —
| Benchmark | Inkling-Small | Qwen-14B |
|---|---|---|
| GPQA Diamond | 88.5% | — |
| SimpleQA Verified | 19.1% | — |
| LMArena Expert | 1442 | — |
| ARC (AI2) Challenge | — | 84.4% |
| BoolQ | — | 86.2% |
| MMLU | — | 66.3% |
Multimodal Not comparable
Inkling-Small: 39.1 (#62), Qwen-14B: —
| Benchmark | Inkling-Small | Qwen-14B |
|---|---|---|
| LMArena Vision | 1235 | — |
Multilingual Inkling-Small leads
Inkling-Small: 51.7 (#104), Qwen-14B: 27.5 (#275)
| Benchmark | Inkling-Small | Qwen-14B |
|---|---|---|
| LMArena Non-English | 1402 | 1041 |
| LMArena Chinese | 1465 | 1077 |
| LMArena French | 1436 | — |
| LMArena German | 1405 | — |
| LMArena Japanese | 1405 | — |
| LMArena Korean | 1363 | — |
| LMArena Russian | 1391 | — |
| LMArena Spanish | 1428 | — |
Instruction Following Inkling-Small leads
Inkling-Small: 73.8 (#114), Qwen-14B: 52.4 (#289)
| Benchmark | Inkling-Small | Qwen-14B |
|---|---|---|
| LMArena Instruction Following | 1399 | 1031 |
Long Context Inkling-Small leads
Inkling-Small: 42.7 (#118), Qwen-14B: 31.3 (#280)
| Benchmark | Inkling-Small | Qwen-14B |
|---|---|---|
| LMArena Longer Query | 1401 | 1028 |
Writing & Preference Inkling-Small leads
Inkling-Small: 59.6 (#107), Qwen-14B: 27.6 (#299)
| Benchmark | Inkling-Small | Qwen-14B |
|---|---|---|
| LMArena Text | 1414 | 1051 |
| LMArena Creative Writing | 1331 | 1028 |
| LMArena Multi-Turn | 1418 | 1022 |
| EQ-Bench Creative Writing | 1491 | — |
Frequently asked questions
Is Inkling-Small better than Qwen-14B?
Inkling-Small is the stronger model overall, scoring 46.5 to 31.4 on the Noometry Index.
Is Inkling-Small or Qwen-14B better for coding?
Inkling-Small scores higher on coding benchmarks: 43.6 versus 31.2 in the Noometry coding category.
How many benchmarks do Inkling-Small and Qwen-14B share?
11 benchmarks have published results for both models. Inkling-Small has 33 scored results on Noometry and Qwen-14B has 18.