# GLM-5 vs Inkling-Small

> GLM-5 and Inkling-Small score almost the same on the Noometry Index (45.9 vs 46.5), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/glm-5-vs-inkling-small
- Last updated: 2026-10-10
- Shared benchmarks: 25

## Summary

- They share 25 benchmarks with published results for both. GLM-5 scores higher in 6 categories and Inkling-Small in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Inkling-Small leads 39.0 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.

## Snapshot

| | GLM-5 | Inkling-Small |
|---|---|---|
| Provider | Z.ai (Zhipu) | Thinking Machines Lab |
| Noometry Index | 45.9 | 46.5 |
| Rank | 59 | 57 |
| Context | 205K | 524K |
| Input $/M | $1 | $0.45 |
| Output $/M | $3.20 | $1.20 |
| Weights | Open | Open |

## Coding

- GLM-5: 49.0 (#47)
- Inkling-Small: 43.3 (#80)

| Benchmark | GLM-5 | Inkling-Small |
|---|---|---|
| LMArena WebDev | 1434 | 1408 |
| 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

- GLM-5: 30.9 (#65)
- 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

- GLM-5: 27.6 (#100)
- Inkling-Small: 39.0 (#53)

| 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 | 1451 | 1424 |
| Epoch Capabilities Index | 145.84 | 150.13 |
| SimpleBench | 53.2% | — |
| Kagi LLM Benchmark | 75% | — |
| NYT Connections (extended) | 74.8% | — |
| CritPt | — | 8.3% |
| Mystery Game Puzzles | — | 6% |
| ForecastBench | 61 | — |

## Math

- GLM-5: 44.8 (#66)
- Inkling-Small: 44.9 (#65)

| Benchmark | GLM-5 | Inkling-Small |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 80% | 90% |
| LMArena Math | 1440 | 1453 |
| 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: 52.2 (#59)
- Inkling-Small: 48.3 (#71)

| 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

- GLM-5: —
- Inkling-Small: 38.4 (#59)

| Benchmark | GLM-5 | Inkling-Small |
|---|---|---|
| LMArena Vision | — | 1235 |

## Multilingual

- GLM-5: 53.9 (#57)
- Inkling-Small: 51.7 (#102)

| Benchmark | GLM-5 | Inkling-Small |
|---|---|---|
| LMArena Non-English | 1430 | 1400 |
| LMArena Chinese | 1511 | 1458 |
| LMArena French | 1455 | 1438 |
| LMArena German | 1445 | 1412 |
| LMArena Japanese | 1416 | 1399 |
| LMArena Korean | 1421 | 1355 |
| LMArena Russian | 1436 | 1392 |
| LMArena Spanish | 1452 | 1426 |

## Instruction Following

- GLM-5: 75.4 (#64)
- Inkling-Small: 73.9 (#112)

| Benchmark | GLM-5 | Inkling-Small |
|---|---|---|
| LMArena Instruction Following | 1427 | 1397 |

## Long Context

- GLM-5: 44.6 (#58)
- Inkling-Small: 42.7 (#113)

| Benchmark | GLM-5 | Inkling-Small |
|---|---|---|
| LMArena Longer Query | 1446 | 1401 |
| CL-bench | 18.7% | — |

## Writing & Preference

- GLM-5: 66.2 (#38)
- Inkling-Small: 59.8 (#102)

| Benchmark | GLM-5 | Inkling-Small |
|---|---|---|
| LMArena Text | 1446 | 1413 |
| LMArena Creative Writing | 1438 | 1330 |
| EQ-Bench Creative Writing | 1601 | 1491 |
| LMArena Multi-Turn | 1456 | 1420 |

## FAQ

### Is GLM-5 better than Inkling-Small?

GLM-5 and Inkling-Small score almost the same on the Noometry Index (45.9 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 43.3 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.