Model comparison
GLM-4.5-Air vs Inkling-Small
Inkling-Small is the stronger model overall, scoring 46.5 to 38.9 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. GLM-4.5-Air scores higher in 0 categories and Inkling-Small in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Inkling-Small leads 38.6 to 24.1.
- GLM-4.5-Air is cheaper at $0.20 / $1.10 per million input/output tokens, against $0.45 / $1.20 for Inkling-Small.
- Inkling-Small accepts more context: 524K tokens versus 131K.
Side by side
| GLM-4.5-Air | Inkling-Small | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Thinking Machines Lab |
| Noometry Index | 38.9 | 46.5 |
| Released | 2025-07-20 | 2026-07-15 |
| Weights | Open | Open |
| Context window | 131K | 524K |
| Max output | 98K | 1.05M |
| Input $ / M tokens | $0.20 | $0.45 |
| Output $ / M tokens | $1.10 | $1.20 |
| Results tracked | 27 | 33 |
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Category by category
Coding Inkling-Small leads
GLM-4.5-Air: 33.3 (#259), Inkling-Small: 43.6 (#85)
| Benchmark | GLM-4.5-Air | Inkling-Small |
|---|---|---|
| LMArena Coding | 1397 | 1451 |
| LMArena WebDev | — | 1409 |
| SciCode | — | 48.7% |
| GSO | 2.9% | — |
Reasoning Inkling-Small leads
GLM-4.5-Air: 24.1 (#166), Inkling-Small: 38.6 (#63)
| Benchmark | GLM-4.5-Air | Inkling-Small |
|---|---|---|
| LMArena Hard Prompts | 1379 | 1423 |
| ARC-AGI-2 | — | 40.1% |
| Kagi LLM Benchmark | 43% | — |
| ARC-AGI-1 | — | 84% |
| CritPt | — | 8.3% |
| Chess Puzzles | — | 18% |
| Mystery Game Puzzles | — | 6% |
| Epoch Capabilities Index | — | 150.15 |
| ForecastBench | 59.2 | — |
Math Inkling-Small leads
GLM-4.5-Air: 36.2 (#170), Inkling-Small: 45.1 (#77)
| Benchmark | GLM-4.5-Air | Inkling-Small |
|---|---|---|
| LMArena Math | 1396 | 1459 |
| FrontierMath (Tiers 1-3) | — | 46.3% |
| FrontierMath Tier 4 | — | 17.1% |
| OTIS Mock AIME 2024-2025 | — | 90% |
| ProofBench | — | 6% |
| Omni-MATH | 39.1% | — |
Knowledge Inkling-Small leads
GLM-4.5-Air: 35.0 (#191), Inkling-Small: 48.2 (#77)
| Benchmark | GLM-4.5-Air | Inkling-Small |
|---|---|---|
| LMArena Expert | 1370 | 1442 |
| GPQA Diamond | — | 88.5% |
| Humanity's Last Exam | 8.1% | — |
| SimpleQA Verified | — | 19.1% |
| MMLU-Pro | 76.2% | — |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | 59.4% | — |
Multimodal Not comparable
GLM-4.5-Air: —, Inkling-Small: 39.1 (#62)
| Benchmark | GLM-4.5-Air | Inkling-Small |
|---|---|---|
| LMArena Vision | — | 1235 |
Multilingual Inkling-Small leads
GLM-4.5-Air: 49.1 (#135), Inkling-Small: 51.7 (#104)
| Benchmark | GLM-4.5-Air | Inkling-Small |
|---|---|---|
| LMArena Non-English | 1366 | 1402 |
| LMArena Chinese | 1426 | 1465 |
| LMArena French | 1399 | 1436 |
| LMArena German | 1377 | 1405 |
| LMArena Japanese | 1348 | 1405 |
| LMArena Korean | 1308 | 1363 |
| LMArena Russian | 1373 | 1391 |
| LMArena Spanish | 1386 | 1428 |
Instruction Following Inkling-Small leads
GLM-4.5-Air: 69.6 (#171), Inkling-Small: 73.8 (#114)
| Benchmark | GLM-4.5-Air | Inkling-Small |
|---|---|---|
| LMArena Instruction Following | 1354 | 1399 |
| IFEval | 81.2% | — |
Long Context Inkling-Small leads
GLM-4.5-Air: 41.6 (#135), Inkling-Small: 42.7 (#118)
| Benchmark | GLM-4.5-Air | Inkling-Small |
|---|---|---|
| LMArena Longer Query | 1366 | 1401 |
Writing & Preference Inkling-Small leads
GLM-4.5-Air: 55.9 (#139), Inkling-Small: 59.6 (#107)
| Benchmark | GLM-4.5-Air | Inkling-Small |
|---|---|---|
| LMArena Text | 1384 | 1414 |
| LMArena Creative Writing | 1343 | 1331 |
| LMArena Multi-Turn | 1371 | 1418 |
| EQ-Bench Creative Writing | — | 1491 |
| WildBench | 78.9% | — |
Frequently asked questions
Is GLM-4.5-Air better than Inkling-Small?
Inkling-Small is the stronger model overall, scoring 46.5 to 38.9 on the Noometry Index.
Which is cheaper, GLM-4.5-Air or Inkling-Small?
GLM-4.5-Air is cheaper. It lists at $0.20 per million input tokens and $1.10 per million output tokens; Inkling-Small lists at $0.45 and $1.20.
Is GLM-4.5-Air or Inkling-Small better for coding?
Inkling-Small scores higher on coding benchmarks: 43.6 versus 33.3 in the Noometry coding category.
Which has the bigger context window?
Inkling-Small does, with 524K tokens against 131K.
How many benchmarks do GLM-4.5-Air and Inkling-Small share?
17 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and Inkling-Small has 33.