Model comparison
GLM-5V-Turbo vs Inkling
GLM-5V-Turbo and Inkling score almost the same on the Noometry Index (43.8 vs 44.1), so choose on price, context window or the category you care about most.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. GLM-5V-Turbo scores higher in 3 categories and Inkling in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Inkling leads 55.1 to 40.6.
- GLM-5V-Turbo is cheaper at $1.20 / $4 per million input/output tokens, against $1.87 / $4.68 for Inkling.
- GLM-5V-Turbo accepts more context: 200K tokens versus 66K.
- Inkling has downloadable open weights; the other is API-only.
Side by side
| GLM-5V-Turbo | Inkling | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Thinking Machines Lab |
| Noometry Index | 43.8 | 44.1 |
| Released | 2026-04-01 | 2026-07-15 |
| Weights | Proprietary | Open |
| Context window | 200K | 66K |
| Max output | 131K | 66K |
| Input $ / M tokens | $1.20 | $1.87 |
| Output $ / M tokens | $4 | $4.68 |
| Results tracked | 19 | 41 |
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Category by category
Coding GLM-5V-Turbo leads
GLM-5V-Turbo: 42.1 (#111), Inkling: 34.5 (#234)
| Benchmark | GLM-5V-Turbo | Inkling |
|---|---|---|
| LMArena WebDev | 1401 | 1413 |
| LMArena Coding | 1466 | 1464 |
| FrontierCode | — | 14% |
| FrontierSWE | — | 4.1% |
| SciCode | — | 47% |
| WeirdML | — | 32.3% |
| ALE-Bench | — | 946 |
Agentic & Tool Use Not comparable
GLM-5V-Turbo: —, Inkling: 29.6 (#85)
| Benchmark | GLM-5V-Turbo | Inkling |
|---|---|---|
| APEX-Agents | — | 33.8% |
| τ²-bench Banking | — | 25% |
Reasoning Inkling leads
GLM-5V-Turbo: 29.7 (#89), Inkling: 40.4 (#56)
| Benchmark | GLM-5V-Turbo | Inkling |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1451 |
| ARC-AGI-2 | — | 36.5% |
| SimpleBench | — | 50% |
| ARC-AGI-1 | — | 79.5% |
| CritPt | — | 5.4% |
| Chess Puzzles | — | 21% |
| DTBench | — | 87.5% |
| LMCA | — | 37.6% |
| Epoch Capabilities Index | — | 148.54 |
Math GLM-5V-Turbo leads
GLM-5V-Turbo: 39.4 (#106), Inkling: 31.3 (#225)
| Benchmark | GLM-5V-Turbo | Inkling |
|---|---|---|
| LMArena Math | 1441 | 1479 |
| FrontierMath (Tiers 1-3) | — | 33.3% |
| FrontierMath Tier 4 | — | 4.9% |
| OTIS Mock AIME 2024-2025 | — | 88.9% |
| ProofBench | — | 0% |
Knowledge Inkling leads
GLM-5V-Turbo: 40.6 (#117), Inkling: 55.1 (#49)
| Benchmark | GLM-5V-Turbo | Inkling |
|---|---|---|
| LMArena Expert | 1452 | 1465 |
| GPQA Diamond | — | 88.3% |
| SimpleQA Verified | — | 40.3% |
Multimodal Not comparable
GLM-5V-Turbo: 40.9 (#42), Inkling: —
| Benchmark | GLM-5V-Turbo | Inkling |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |
Multilingual Inkling leads
GLM-5V-Turbo: 53.0 (#73), Inkling: 54.0 (#52)
| Benchmark | GLM-5V-Turbo | Inkling |
|---|---|---|
| LMArena Non-English | 1420 | 1434 |
| LMArena Chinese | 1488 | 1490 |
| LMArena French | 1444 | 1458 |
| LMArena German | 1423 | 1446 |
| LMArena Korean | 1396 | 1404 |
| LMArena Russian | 1431 | 1429 |
| LMArena Spanish | 1450 | 1448 |
| LMArena Japanese | — | 1429 |
Instruction Following Too close to call
GLM-5V-Turbo: 75.0 (#80), Inkling: 75.1 (#71)
| Benchmark | GLM-5V-Turbo | Inkling |
|---|---|---|
| LMArena Instruction Following | 1423 | 1426 |
Long Context Too close to call
GLM-5V-Turbo: 44.0 (#80), Inkling: 43.8 (#86)
| Benchmark | GLM-5V-Turbo | Inkling |
|---|---|---|
| LMArena Longer Query | 1438 | 1434 |
Writing & Preference Inkling leads
GLM-5V-Turbo: 62.5 (#73), Inkling: 65.2 (#51)
| Benchmark | GLM-5V-Turbo | Inkling |
|---|---|---|
| LMArena Text | 1437 | 1441 |
| LMArena Creative Writing | 1416 | 1387 |
| LMArena Multi-Turn | 1432 | 1436 |
| EQ-Bench Creative Writing | — | 1611 |
| EQ-Bench 4 | — | 1226 |
Frequently asked questions
Is GLM-5V-Turbo better than Inkling?
GLM-5V-Turbo and Inkling score almost the same on the Noometry Index (43.8 vs 44.1), so choose on price, context window or the category you care about most.
Which is cheaper, GLM-5V-Turbo or Inkling?
GLM-5V-Turbo is cheaper. It lists at $1.20 per million input tokens and $4 per million output tokens; Inkling lists at $1.87 and $4.68.
Is GLM-5V-Turbo or Inkling better for coding?
GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 34.5 in the Noometry coding category.
Which has the bigger context window?
GLM-5V-Turbo does, with 200K tokens against 66K.
How many benchmarks do GLM-5V-Turbo and Inkling share?
17 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Inkling has 41.