Model comparison
GLM-4.6V vs Inkling-Small
Inkling-Small is the stronger model overall, scoring 46.5 to 41.3 on the Noometry Index.
Last verified . 12 shared benchmarks.
Summary
- They share 12 benchmarks with published results for both. GLM-4.6V 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 27.6.
- GLM-4.6V is cheaper at $0.30 / $0.90 per million input/output tokens, against $0.45 / $1.20 for Inkling-Small.
- Inkling-Small accepts more context: 524K tokens versus 128K.
Side by side
| GLM-4.6V | Inkling-Small | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Thinking Machines Lab |
| Noometry Index | 41.3 | 46.5 |
| Released | 2025-12-08 | 2026-07-15 |
| Weights | Open | Open |
| Context window | 128K | 524K |
| Max output | 33K | 1.05M |
| Input $ / M tokens | $0.30 | $0.45 |
| Output $ / M tokens | $0.90 | $1.20 |
| Results tracked | 12 | 33 |
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Category by category
Coding Inkling-Small leads
GLM-4.6V: 40.9 (#128), Inkling-Small: 43.6 (#85)
| Benchmark | GLM-4.6V | Inkling-Small |
|---|---|---|
| LMArena Coding | 1390 | 1451 |
| LMArena WebDev | — | 1409 |
| SciCode | — | 48.7% |
Reasoning Inkling-Small leads
GLM-4.6V: 27.6 (#115), Inkling-Small: 38.6 (#63)
| Benchmark | GLM-4.6V | Inkling-Small |
|---|---|---|
| LMArena Hard Prompts | 1368 | 1423 |
| ARC-AGI-2 | — | 40.1% |
| ARC-AGI-1 | — | 84% |
| CritPt | — | 8.3% |
| Chess Puzzles | — | 18% |
| Mystery Game Puzzles | — | 6% |
| Epoch Capabilities Index | — | 150.15 |
Math Not comparable
GLM-4.6V: —, Inkling-Small: 45.1 (#77)
| Benchmark | GLM-4.6V | Inkling-Small |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 46.3% |
| FrontierMath Tier 4 | — | 17.1% |
| OTIS Mock AIME 2024-2025 | — | 90% |
| ProofBench | — | 6% |
| LMArena Math | — | 1459 |
Knowledge Inkling-Small leads
GLM-4.6V: 38.0 (#149), Inkling-Small: 48.2 (#77)
| Benchmark | GLM-4.6V | Inkling-Small |
|---|---|---|
| LMArena Expert | 1371 | 1442 |
| GPQA Diamond | — | 88.5% |
| SimpleQA Verified | — | 19.1% |
Multimodal Inkling-Small leads
GLM-4.6V: 34.8 (#90), Inkling-Small: 39.1 (#62)
| Benchmark | GLM-4.6V | Inkling-Small |
|---|---|---|
| LMArena Vision | 1164 | 1235 |
Multilingual Inkling-Small leads
GLM-4.6V: 48.6 (#141), Inkling-Small: 51.7 (#104)
| Benchmark | GLM-4.6V | Inkling-Small |
|---|---|---|
| LMArena Non-English | 1359 | 1402 |
| LMArena Chinese | 1425 | 1465 |
| LMArena Russian | 1340 | 1391 |
| LMArena French | — | 1436 |
| LMArena German | — | 1405 |
| LMArena Japanese | — | 1405 |
| LMArena Korean | — | 1363 |
| LMArena Spanish | — | 1428 |
Instruction Following Inkling-Small leads
GLM-4.6V: 71.4 (#151), Inkling-Small: 73.8 (#114)
| Benchmark | GLM-4.6V | Inkling-Small |
|---|---|---|
| LMArena Instruction Following | 1352 | 1399 |
Long Context Inkling-Small leads
GLM-4.6V: 41.3 (#143), Inkling-Small: 42.7 (#118)
| Benchmark | GLM-4.6V | Inkling-Small |
|---|---|---|
| LMArena Longer Query | 1358 | 1401 |
Writing & Preference Inkling-Small leads
GLM-4.6V: 56.6 (#137), Inkling-Small: 59.6 (#107)
| Benchmark | GLM-4.6V | Inkling-Small |
|---|---|---|
| LMArena Text | 1377 | 1414 |
| LMArena Creative Writing | 1347 | 1331 |
| LMArena Multi-Turn | 1360 | 1418 |
| EQ-Bench Creative Writing | — | 1491 |
Frequently asked questions
Is GLM-4.6V better than Inkling-Small?
Inkling-Small is the stronger model overall, scoring 46.5 to 41.3 on the Noometry Index.
Which is cheaper, GLM-4.6V or Inkling-Small?
GLM-4.6V is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; Inkling-Small lists at $0.45 and $1.20.
Is GLM-4.6V or Inkling-Small better for coding?
Inkling-Small scores higher on coding benchmarks: 43.6 versus 40.9 in the Noometry coding category.
Which has the bigger context window?
Inkling-Small does, with 524K tokens against 128K.
How many benchmarks do GLM-4.6V and Inkling-Small share?
12 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Inkling-Small has 33.