GLM 5.3 Flash vs Inkling Small
Updated October 21, 2026. 77 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick GLM 5.3 Flash for coding: it scores 71.0 on the Vibe Coding Index against 29.9 for Inkling Small.
Pick Inkling Small when what matters is LiveCodeBench (Vals AI) or ProgramBench (Vals AI), where it leads.
- Shared results
- 77
- GLM 5.3 Flash only
- 25
- Inkling Small only
- 7
- Like-for-like categories
- 7 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, four public coding benchmarks
GLM 5.3 Flash
GLM 5.3 Flash scores 71.0 against 29.9.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
GLM 5.3 Flash
GLM 5.3 Flash leads, 41.8 against 25.7.
Same board, both measured
Agentic work
AA Agentic Index
GLM 5.3 Flash
GLM 5.3 Flash leads, 50.9 against 23.5.
Same board, both measured
Reasoning
GPQA Diamond
GLM 5.3 Flash
GLM 5.3 Flash leads, 86.4% against 83.6%.
Same board, both measured
Knowledge
MMLU Pro
GLM 5.3 Flash
GLM 5.3 Flash leads, 86.1% against 85.6%.
Same board, both measured
Web design
Design Arena: websites
No call
Only GLM 5.3 Flash has a Design Arena: websites result, 1272.
Directional only
General
Vals Index
GLM 5.3 Flash
GLM 5.3 Flash leads, 50.9% against 27.6%.
Same board, both measured
Long documents
Listed context window
GLM 5.3 Flash
GLM 5.3 Flash takes 1.05M tokens against 524K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GLM 5.3 Flash
GLM 5.3 Flash $0.0004, Inkling Small $0.0010 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GLM 5.3 Flash
GLM 5.3 Flash $0.02, Inkling Small $0.16.
Published attempt cost and pass rate
At a glance
- Coding index
- GLM 5.3 Flash 71.0 from 2 benchmarks, Inkling Small 29.9 from 1 benchmark.
- Widest category
- Agentic work, 18.6 points apart on average over 6 shared benchmarks.
- Widest single gap
- IOI (Vals AI): GLM 5.3 Flash 52.5% against Inkling Small 9.3%, 43.2 points apart on a 0 to 100 scale.
- Output price
- GLM 5.3 Flash $0.50 against Inkling Small $1.20 per million output tokens, 2.4x apart.
- Context window
- GLM 5.3 Flash takes 1.05M tokens, Inkling Small 524K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | GLM 5.3 Flash | Bars | Inkling Small | Ties |
|---|---|---|---|---|
| Coding | 16 | 2 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 6 | 0 | ||
| Reasoning | 12 | 0 | ||
| Math | 5 | 0 | 1 tie | |
| Knowledge | 7 | 0 | ||
| General | 26 | 0 | ||
| All shared boards | 74 | 2 | 1 tie |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index162
| Benchmark | GLM 5.3 Flash | Inkling Small | Leader |
|---|---|---|---|
| LiveBench coding | 80.6% | Not measured | Only GLM 5.3 Flash measured |
| LMArena WebDev | 1607 | 1409 | GLM 5.3 Flash |
| AA Coding Index | 71.5 | 52.9 | GLM 5.3 Flash |
| LiveCodeBench (Vals AI) | 80.5% | 85.9% | Inkling Small |
| SWE-bench Verified (Vals AI) | 92.0% | 82.2% | GLM 5.3 Flash |
| Terminal-Bench 4 (Vals AI) | 37.4% | 0.0% | GLM 5.3 Flash |
| Vibe Code Bench (Vals AI) | 30.8% | 19.1% | GLM 5.3 Flash |
| Code migration (Vals AI) | 20.5% | 13.7% | GLM 5.3 Flash |
| ProgramBench (Vals AI) | 0.0% | 0.5% | Inkling Small |
| IOI (Vals AI) | 52.5% | 9.3% | GLM 5.3 Flash |
| Terminal-Bench 2.1 (Vals AI) | 62.9% | 55.1% | GLM 5.3 Flash |
| Vibe Code Bench 1-100 (Vals AI) | 16.0% | Not measured | Only GLM 5.3 Flash measured |
| SkillsBench (Vals AI) | 40.2% | 33.6% | GLM 5.3 Flash |
| CyberBench (Vals AI) | 67.9% | 64.1% | GLM 5.3 Flash |
| SciCode | 51.6% | 49.7% | GLM 5.3 Flash |
| FrontierCode | 31.8% | Not measured | Only GLM 5.3 Flash measured |
| FrontierSWE | 18.1% | Not measured | Only GLM 5.3 Flash measured |
| ALE-Bench | 303.6 | Not measured | Only GLM 5.3 Flash measured |
| LMArena Text: coding | 1507 | 1450 | GLM 5.3 Flash |
| LMArena Text: software and IT | 1500 | 1447 | GLM 5.3 Flash |
| LMArena WebDev: React | 1624 | 1399 | GLM 5.3 Flash |
| LMArena WebDev: HTML | 1577 | 1398 | GLM 5.3 Flash |
| LMArena WebDev: from an image | 1578 | 1410 | GLM 5.3 Flash |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | GLM 5.3 Flash | Inkling Small | Leader |
|---|---|---|---|
| AA Intelligence Index | 41.8 | 25.7 | GLM 5.3 Flash |
| Epoch Capabilities Index | 153.1 | 150.3 | GLM 5.3 Flash |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | GLM 5.3 Flash | Inkling Small | Leader |
|---|---|---|---|
| AA Agentic Index | 50.9 | 23.5 | GLM 5.3 Flash |
| LiveBench research | 70.1% | Not measured | Only GLM 5.3 Flash measured |
| LiveBench browser | 84.0% | Not measured | Only GLM 5.3 Flash measured |
| LiveBench long agentic | 28.4% | Not measured | Only GLM 5.3 Flash measured |
| SREBench (Vals AI) | 0.8% | Not measured | Only GLM 5.3 Flash measured |
| Finance Agent (Vals AI) | 57.9% | 41.3% | GLM 5.3 Flash |
| Tax Agent Bench (Vals AI) | 31.6% | 15.4% | GLM 5.3 Flash |
| Legal Research Bench (Vals AI) | 45.2% | 25.5% | GLM 5.3 Flash |
| Harvey's Legal Agent Benchmark (Vals AI) | 10.4% | 2.9% | GLM 5.3 Flash |
| Excel Modeling Benchmark (Vals AI) | 55.9% | 31.8% | GLM 5.3 Flash |
| Terminal-Bench-Science (Vals AI) | 2.9% | Not measured | Only GLM 5.3 Flash measured |
| APEX-Agents | 52.8% | Not measured | Only GLM 5.3 Flash measured |
| Neither model has a result on the other 27 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index120
| Benchmark | GLM 5.3 Flash | Inkling Small | Leader |
|---|---|---|---|
| GPQA Diamond | 86.4% | 83.6% | GLM 5.3 Flash |
| LiveBench reasoning | 77.6% | Not measured | Only GLM 5.3 Flash measured |
| MMMU Pro (Vals AI) | 86.0% | Not measured | Only GLM 5.3 Flash measured |
| GPQA Diamond (Artificial Analysis run) | 91.2% | 89.5% | GLM 5.3 Flash |
| Humanity's Last Exam (Artificial Analysis run) | 39.9% | 33.3% | GLM 5.3 Flash |
| GPQA Diamond (Epoch AI run) | 90.2% | 88.5% | GLM 5.3 Flash |
| ARC-AGI | 91.0% | 84.0% | GLM 5.3 Flash |
| ARC-AGI-2 | 65.8% | 40.1% | GLM 5.3 Flash |
| Chess puzzles | 21.0% | Not measured | Only GLM 5.3 Flash measured |
| Mystery game puzzles | 8.0% | 6.0% | GLM 5.3 Flash |
| LMArena Text: hard prompts | 1490 | 1423 | GLM 5.3 Flash |
| LMArena Text: expert | 1511 | 1441 | GLM 5.3 Flash |
| LMArena Text: hard prompts in English | 1488 | 1429 | GLM 5.3 Flash |
| LMArena Vision: diagrams | 1317 | 1251 | GLM 5.3 Flash |
| LMArena Vision: homework | 1318 | 1257 | GLM 5.3 Flash |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | GLM 5.3 Flash | Inkling Small | Leader |
|---|---|---|---|
| OTIS Mock AIME | 93.9% | 90.0% | GLM 5.3 Flash |
| FrontierMath, tiers 1 to 3 | 55.8% | 46.3% | GLM 5.3 Flash |
| FrontierMath, tier 4 | 17.1% | 17.1% | Tie |
| ProofBench | 21.0% | 6.0% | GLM 5.3 Flash |
| LMArena Text: math | 1503 | 1459 | GLM 5.3 Flash |
| LMArena Text: mathematical work | 1497 | 1441 | GLM 5.3 Flash |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | GLM 5.3 Flash | Inkling Small | Leader |
|---|---|---|---|
| MMLU Pro | 86.1% | 85.6% | GLM 5.3 Flash |
| LegalBench (Vals AI) | 83.9% | 83.0% | GLM 5.3 Flash |
| CorpFin (Vals AI) | Not measured | 69.6% | Only Inkling Small measured |
| TaxEval (Vals AI) | 75.6% | 75.5% | GLM 5.3 Flash |
| MortgageTax (Vals AI) | Not measured | 62.3% | Only Inkling Small measured |
| MedCode (Vals AI) | Not measured | 37.9% | Only Inkling Small measured |
| SimpleQA Verified | Not measured | 19.1% | Only Inkling Small measured |
| LMArena Text: science | 1484 | 1428 | GLM 5.3 Flash |
| LMArena Text: medicine and healthcare | 1475 | 1413 | GLM 5.3 Flash |
| LMArena Text: legal and government | 1473 | 1415 | GLM 5.3 Flash |
| LMArena Text: business and finance | 1460 | 1413 | GLM 5.3 Flash |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | GLM 5.3 Flash | Inkling Small | Leader |
|---|---|---|---|
| Design Arena: websites | 1272 | Not measured | Only GLM 5.3 Flash measured |
| Design Arena: UI components | 1316 | Not measured | Only GLM 5.3 Flash measured |
| Design Arena: game dev | 1279 | Not measured | Only GLM 5.3 Flash measured |
| Design Arena: data viz | 1262 | Not measured | Only GLM 5.3 Flash measured |
| Design Arena: 3D | 1316 | Not measured | Only GLM 5.3 Flash measured |
| Design Arena: all code categories | 1282 | Not measured | Only GLM 5.3 Flash measured |
| Design Arena: SVG | 1284 | Not measured | Only GLM 5.3 Flash measured |
| Design Arena: ASCII art | 1269 | Not measured | Only GLM 5.3 Flash measured |
| LiveBench design | 77.2% | Not measured | Only GLM 5.3 Flash measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index260
| Benchmark | GLM 5.3 Flash | Inkling Small | Leader |
|---|---|---|---|
| Vals Index | 50.9% | 27.6% | GLM 5.3 Flash |
| LiveBench data analysis | 76.4% | Not measured | Only GLM 5.3 Flash measured |
| Public Benefits Bench (Vals AI) | Not measured | 59.4% | Only Inkling Small measured |
| SAGE (Vals AI) | Not measured | 32.7% | Only Inkling Small measured |
| MedScribe (Vals AI) | 88.9% | 84.1% | GLM 5.3 Flash |
| Vals Multimodal Index | Not measured | 50.0% | Only Inkling Small measured |
| Long context reasoning (AA-LCR) | 80.0% | 75.7% | GLM 5.3 Flash |
| Surface Evolver Bench | 52.5% | Not measured | Only GLM 5.3 Flash measured |
| LMArena Text | 1471 | 1413 | GLM 5.3 Flash |
| LMArena Text: instruction following | 1478 | 1399 | GLM 5.3 Flash |
| LMArena Text: creative writing | 1441 | 1334 | GLM 5.3 Flash |
| LMArena Vision | 1294 | 1237 | GLM 5.3 Flash |
| LMArena Text: English | 1474 | 1421 | GLM 5.3 Flash |
| LMArena Text: non-English | 1462 | 1401 | GLM 5.3 Flash |
| LMArena Text: Chinese | 1531 | 1464 | GLM 5.3 Flash |
| LMArena Text: German | 1462 | 1408 | GLM 5.3 Flash |
| LMArena Text: Japanese | 1444 | 1401 | GLM 5.3 Flash |
| LMArena Text: Korean | 1436 | 1367 | GLM 5.3 Flash |
| LMArena Text: French | 1491 | 1435 | GLM 5.3 Flash |
| LMArena Text: Spanish | 1475 | 1422 | GLM 5.3 Flash |
| LMArena Text: Russian | 1465 | 1394 | GLM 5.3 Flash |
| LMArena Text: Polish | 1450 | 1428 | GLM 5.3 Flash |
| LMArena Text: multi-turn | 1469 | 1416 | GLM 5.3 Flash |
| LMArena Text: longer queries | 1481 | 1402 | GLM 5.3 Flash |
| LMArena Text: writing and language | 1455 | 1357 | GLM 5.3 Flash |
| LMArena Text: entertainment and media | 1440 | 1352 | GLM 5.3 Flash |
| LMArena Vision: English | 1295 | 1243 | GLM 5.3 Flash |
| LMArena Vision: Chinese | 1363 | 1292 | GLM 5.3 Flash |
| LMArena Vision: reading text | 1299 | 1243 | GLM 5.3 Flash |
| LMArena Vision: humor | 1279 | 1207 | GLM 5.3 Flash |
| LMArena Vision: creative writing | 1270 | 1205 | GLM 5.3 Flash |
| Neither model has a result on the other 15 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GLM 5.3 Flash | Inkling Small | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
GLM 5.3 Flash costs less
Repository review
50K input + 3K output tokens
GLM 5.3 Flash costs less
Agent loop
200K input + 10K output tokens
GLM 5.3 Flash costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Z.ai GLM 5.3 Flash | Thinking Machines Inkling Small |
|---|---|---|
| Maker | Z.ai | Thinking Machines |
| Weights | Open weights | Open weights |
| Released | August 26, 2026 | July 30, 2026 |
| Context window | 1.05M | 524K |
| Input $/Mtok | $0.15 | $0.45 |
| Output $/Mtok | $0.50 | $1.20 |
| Coding index | 71.0 | 29.9 |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | $0.02 | $0.16 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GLM 5.3 Flash better than Inkling Small for coding?
Pick GLM 5.3 Flash for coding: it scores 71.0 on the Vibe Coding Index against 29.9 for Inkling Small. Pick Inkling Small when what matters is LiveCodeBench (Vals AI) or ProgramBench (Vals AI), where it leads.
Which is cheaper, GLM 5.3 Flash or Inkling Small?
GLM 5.3 Flash costs $0.15 per million input tokens and $0.50 per million output tokens; Inkling Small costs $0.45 and $1.20. Per solved SWE-bench Verified task, GLM 5.3 Flash costs $0.02 and Inkling Small $0.16.
Which has the bigger context window, GLM 5.3 Flash or Inkling Small?
GLM 5.3 Flash, with 1.05M tokens against 524K.
How many benchmarks is the GLM 5.3 Flash vs Inkling Small comparison based on?
77 benchmarks have a result for both models as of October 21, 2026. GLM 5.3 Flash's coding index rests on 2 independent benchmarks and Inkling Small's on 1. Where only one model has a result, the page says so instead of naming a winner.