Model comparison
Inkling vs Qwen3-1.7B
Inkling is the stronger model overall, scoring 44.1 to 26.2 on the Noometry Index.
Last verified . 3 shared benchmarks.
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. Inkling scores higher in 4 categories and Qwen3-1.7B in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Inkling leads 55.2 to 19.6.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 88.9% for Inkling and 8.1% for Qwen3-1.7B.
Side by side
| Inkling | Qwen3-1.7B | |
|---|---|---|
| Provider | Thinking Machines Lab | Alibaba (Qwen) |
| Noometry Index | 44.1 | 26.2 |
| Released | 2026-07-15 | 2025-04-29 |
| Weights | Open | Open |
| Context window | 66K | — |
| Max output | 66K | — |
| Input $ / M tokens | $1.87 | — |
| Output $ / M tokens | $4.68 | — |
| Results tracked | 41 | 4 |
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Category by category
Coding Not comparable
Inkling: 34.1 (#229), Qwen3-1.7B: —
| Benchmark | Inkling | Qwen3-1.7B |
|---|---|---|
| FrontierCode | 14% | — |
| LMArena WebDev | 1412 | — |
| FrontierSWE | 4.1% | — |
| SciCode | 47% | — |
| WeirdML | 32.3% | — |
| LMArena Coding | 1463 | — |
| ALE-Bench | 946 | — |
Agentic & Tool Use Inkling leads
Inkling: 29.5 (#76), Qwen3-1.7B: 24.5 (#108)
| Benchmark | Inkling | Qwen3-1.7B |
|---|---|---|
| APEX-Agents | 33.8% | — |
| Berkeley Function Calling Leaderboard | — | 28.4% |
| τ²-bench Banking | 25% | — |
Reasoning Inkling leads
Inkling: 40.6 (#48), Qwen3-1.7B: 18.5 (#263)
| Benchmark | Inkling | Qwen3-1.7B |
|---|---|---|
| Chess Puzzles | 21% | 0% |
| ARC-AGI-2 | 36.5% | — |
| SimpleBench | 50% | — |
| ARC-AGI-1 | 79.5% | — |
| CritPt | 5.4% | — |
| LMArena Hard Prompts | 1452 | — |
| DTBench | 87.5% | — |
| LMCA | 37.6% | — |
| Epoch Capabilities Index | 148.6 | — |
Math Inkling leads
Inkling: 31.2 (#198), Qwen3-1.7B: 15.4 (#288)
| Benchmark | Inkling | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 88.9% | 8.1% |
| FrontierMath (Tiers 1-3) | 33.3% | — |
| FrontierMath Tier 4 | 4.9% | — |
| ProofBench | 0% | — |
| LMArena Math | 1482 | — |
Knowledge Inkling leads
Inkling: 55.2 (#44), Qwen3-1.7B: 19.6 (#273)
| Benchmark | Inkling | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | 88.3% | 38% |
| SimpleQA Verified | 40.3% | — |
| LMArena Expert | 1468 | — |
Multilingual Not comparable
Inkling: 54.2 (#49), Qwen3-1.7B: —
| Benchmark | Inkling | Qwen3-1.7B |
|---|---|---|
| LMArena Non-English | 1434 | — |
| LMArena Chinese | 1495 | — |
| LMArena French | 1453 | — |
| LMArena German | 1456 | — |
| LMArena Japanese | 1428 | — |
| LMArena Korean | 1401 | — |
| LMArena Russian | 1430 | — |
| LMArena Spanish | 1442 | — |
Instruction Following Not comparable
Inkling: 75.3 (#65), Qwen3-1.7B: —
| Benchmark | Inkling | Qwen3-1.7B |
|---|---|---|
| LMArena Instruction Following | 1427 | — |
Long Context Not comparable
Inkling: 43.9 (#79), Qwen3-1.7B: —
| Benchmark | Inkling | Qwen3-1.7B |
|---|---|---|
| LMArena Longer Query | 1436 | — |
Writing & Preference Not comparable
Inkling: 65.5 (#48), Qwen3-1.7B: —
| Benchmark | Inkling | Qwen3-1.7B |
|---|---|---|
| LMArena Text | 1443 | — |
| LMArena Creative Writing | 1390 | — |
| EQ-Bench Creative Writing | 1611 | — |
| EQ-Bench 4 | 1226 | — |
| LMArena Multi-Turn | 1436 | — |
Frequently asked questions
Is Inkling better than Qwen3-1.7B?
Inkling is the stronger model overall, scoring 44.1 to 26.2 on the Noometry Index.
How many benchmarks do Inkling and Qwen3-1.7B share?
3 benchmarks have published results for both models. Inkling has 41 scored results on Noometry and Qwen3-1.7B has 4.