Model comparison
GLM-5 vs Inkling-Small
GLM-5 and Inkling-Small score almost the same on the Noometry Index (46.1 vs 46.5), so choose on price, context window or the category you care about most.
Last verified . 25 shared benchmarks.
Summary
- They share 25 benchmarks with published results for both. GLM-5 scores higher in 7 categories and Inkling-Small in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Inkling-Small leads 38.6 to 27.6.
- The biggest single-benchmark swing is ARC-AGI-1: 44.7% for GLM-5 and 84% for Inkling-Small.
- Inkling-Small is cheaper at $0.45 / $1.20 per million input/output tokens, against $1 / $3.20 for GLM-5.
- Inkling-Small accepts more context: 524K tokens versus 205K.
Side by side
| GLM-5 | Inkling-Small | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Thinking Machines Lab |
| Noometry Index | 46.1 | 46.5 |
| Released | 2026-02-11 | 2026-07-15 |
| Weights | Open | Open |
| Context window | 205K | 524K |
| Max output | 131K | 1.05M |
| Input $ / M tokens | $1 | $0.45 |
| Output $ / M tokens | $3.20 | $1.20 |
| Results tracked | 45 | 33 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GLM-5 leads
GLM-5: 49.0 (#52), Inkling-Small: 43.6 (#85)
| Benchmark | GLM-5 | Inkling-Small |
|---|---|---|
| LMArena WebDev | 1434 | 1409 |
| LMArena Coding | 1461 | 1451 |
| SWE-bench Verified | 72.1% | — |
| SWE-bench Verified (bash only) | 72.8% | — |
| SWE-bench Multilingual | 69.7% | — |
| SciCode | — | 48.7% |
| WeirdML | 48.2% | — |
| ALE-Bench | 765.62 | — |
Agentic & Tool Use Not comparable
GLM-5: 31.1 (#71), Inkling-Small: —
| Benchmark | GLM-5 | Inkling-Small |
|---|---|---|
| Terminal-Bench | 52.4% | — |
| τ²-bench Airline | 82.5% | — |
| τ²-bench Banking | 9.8% | — |
| τ²-bench Retail | 73.7% | — |
| τ²-bench Telecom | 86.8% | — |
| Vending-Bench 2 | 4,432 | — |
Reasoning Inkling-Small leads
GLM-5: 27.6 (#116), Inkling-Small: 38.6 (#63)
| Benchmark | GLM-5 | Inkling-Small |
|---|---|---|
| ARC-AGI-2 | 4.9% | 40.1% |
| ARC-AGI-1 | 44.7% | 84% |
| Chess Puzzles | 10% | 18% |
| LMArena Hard Prompts | 1452 | 1423 |
| Epoch Capabilities Index | 145.83 | 150.15 |
| SimpleBench | 53.2% | — |
| Kagi LLM Benchmark | 75% | — |
| NYT Connections (extended) | 74.8% | — |
| CritPt | — | 8.3% |
| Mystery Game Puzzles | — | 6% |
| ForecastBench | 61 | — |
Math GLM-5 leads
GLM-5: 46.4 (#71), Inkling-Small: 45.1 (#77)
| Benchmark | GLM-5 | Inkling-Small |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 80% | 90% |
| LMArena Math | 1440 | 1459 |
| FrontierMath (Tiers 1-3) | — | 46.3% |
| FrontierMath Tier 4 | — | 17.1% |
| MathArena Final-Answer Competitions | 65.7% | — |
| ProofBench | — | 6% |
| FrontierMath (Feb 2025 set) | 16.4% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge GLM-5 leads
GLM-5: 52.3 (#64), Inkling-Small: 48.2 (#77)
| Benchmark | GLM-5 | Inkling-Small |
|---|---|---|
| GPQA Diamond | 87.8% | 88.5% |
| LMArena Expert | 1454 | 1442 |
| SimpleQA Verified | — | 19.1% |
| Vectara Hallucination Rate | 10.1% | — |
Multimodal Not comparable
GLM-5: —, Inkling-Small: 39.1 (#62)
| Benchmark | GLM-5 | Inkling-Small |
|---|---|---|
| LMArena Vision | — | 1235 |
Multilingual GLM-5 leads
GLM-5: 53.7 (#58), Inkling-Small: 51.7 (#104)
| Benchmark | GLM-5 | Inkling-Small |
|---|---|---|
| LMArena Non-English | 1430 | 1402 |
| LMArena Chinese | 1511 | 1465 |
| LMArena French | 1455 | 1436 |
| LMArena German | 1445 | 1405 |
| LMArena Japanese | 1416 | 1405 |
| LMArena Korean | 1423 | 1363 |
| LMArena Russian | 1436 | 1391 |
| LMArena Spanish | 1454 | 1428 |
Instruction Following GLM-5 leads
GLM-5: 75.2 (#67), Inkling-Small: 73.8 (#114)
| Benchmark | GLM-5 | Inkling-Small |
|---|---|---|
| LMArena Instruction Following | 1428 | 1399 |
Long Context GLM-5 leads
GLM-5: 44.7 (#60), Inkling-Small: 42.7 (#118)
| Benchmark | GLM-5 | Inkling-Small |
|---|---|---|
| LMArena Longer Query | 1446 | 1401 |
| CL-bench | 18.7% | — |
Writing & Preference GLM-5 leads
GLM-5: 66.0 (#38), Inkling-Small: 59.6 (#107)
| Benchmark | GLM-5 | Inkling-Small |
|---|---|---|
| LMArena Text | 1446 | 1414 |
| LMArena Creative Writing | 1439 | 1331 |
| EQ-Bench Creative Writing | 1601 | 1491 |
| LMArena Multi-Turn | 1456 | 1418 |
Frequently asked questions
Is GLM-5 better than Inkling-Small?
GLM-5 and Inkling-Small score almost the same on the Noometry Index (46.1 vs 46.5), so choose on price, context window or the category you care about most.
Which is cheaper, GLM-5 or Inkling-Small?
Inkling-Small is cheaper. It lists at $0.45 per million input tokens and $1.20 per million output tokens; GLM-5 lists at $1 and $3.20.
Is GLM-5 or Inkling-Small better for coding?
GLM-5 scores higher on coding benchmarks: 49.0 versus 43.6 in the Noometry coding category.
Which has the bigger context window?
Inkling-Small does, with 524K tokens against 205K.
How many benchmarks do GLM-5 and Inkling-Small share?
25 benchmarks have published results for both models. GLM-5 has 45 scored results on Noometry and Inkling-Small has 33.