GLM 5.3 Flash vs Inkling 2 Small
GLM 5.3 Flash leads Inkling 2 Small on coding, 56.2 to 48.9 on the Vibe Coding Index, and GLM 5.3 Flash costs 2.0x less per output token ($0.50 vs $1.00 per million). Updated November 14, 2026; 44 benchmarks have a result for both.
GLM 5.3 Flash or Inkling 2 Small: which to pick
Pick GLM 5.3 Flash for coding: it scores 56.2 on the Vibe Coding Index against 48.9 for Inkling 2 Small.
Pick Inkling 2 Small for work measured by LMArena WebDev or Vibe Code Bench (Vals AI), where it leads.
- Shared results
- 44
- GLM 5.3 Flash only
- 71
- Inkling 2 Small only
- 7
- Like-for-like categories
- 6 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
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, six public coding benchmarks
GLM 5.3 Flash
GLM 5.3 Flash scores 56.2 against 48.9.
6 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
Inkling 2 Small
Inkling 2 Small leads, 30.6 against 27.8.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only GLM 5.3 Flash has a AA Agentic Index result, 50.9.
Directional only
Reasoning
GPQA Diamond
No call
Only GLM 5.3 Flash has a GPQA Diamond result, 86.4%.
Directional only
Knowledge
MMLU Pro
No call
Only GLM 5.3 Flash has a MMLU Pro result, 86.1%.
Directional only
Web design
Design Arena: websites
No call
Only GLM 5.3 Flash has a Design Arena: websites result, 1257.
Directional only
General
Vals Index
Inkling 2 Small
Inkling 2 Small leads, 56.1% against 50.9%.
Same board, both measured
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GLM 5.3 Flash
GLM 5.3 Flash $0.0004, Inkling 2 Small $0.0008 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GLM 5.3 Flash has the number, $0.02.
Directional only
At a glance
- Coding index
- GLM 5.3 Flash 56.2 from 6 benchmarks, Inkling 2 Small 48.9 from 3 benchmarks.
- Widest category
- Coding, 12.1 points apart on average over 12 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): GLM 5.3 Flash 30.8% against Inkling 2 Small 81.5%, 50.8 points apart on a 0 to 100 scale.
- Output price
- GLM 5.3 Flash $0.50 against Inkling 2 Small $1.00 per million output tokens, 2.0x apart.
- Context window
- Both take 1.05M tokens.
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 2 Small | Ties |
|---|---|---|---|---|
| Coding | 4 | 8 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 4 | 1 tie | |
| Reasoning | 3 | 5 | ||
| Knowledge | 2 | 1 | ||
| General | 12 | 2 | ||
| All shared boards | 22 | 21 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index48
| Benchmark | GLM 5.3 Flash | Inkling 2 Small | Leader |
|---|---|---|---|
| LiveBench coding | 70.9% | Not measured | Only GLM 5.3 Flash measured |
| LMArena WebDev | 1609 | 1647 | Inkling 2 Small |
| AA Coding Index | 71.5 | Not measured | Only GLM 5.3 Flash measured |
| LiveCodeBench (Vals AI) | 80.5% | Not measured | Only GLM 5.3 Flash measured |
| SWE-bench Verified (Vals AI) | 92.0% | Not measured | Only GLM 5.3 Flash measured |
| Terminal-Bench 4 (Vals AI) | 37.4% | 12.6% | GLM 5.3 Flash |
| Vibe Code Bench (Vals AI) | 30.8% | 81.5% | Inkling 2 Small |
| Code migration (Vals AI) | 20.5% | Not measured | Only GLM 5.3 Flash measured |
| ProgramBench (Vals AI) | 0.0% | 0.5% | Inkling 2 Small |
| IOI (Vals AI) | 52.5% | Not measured | Only GLM 5.3 Flash measured |
| Terminal-Bench 2.1 (Vals AI) | 62.9% | Not measured | Only GLM 5.3 Flash measured |
| SWE-bench Multimodal (Vals AI) | Not measured | 43.1% | Only Inkling 2 Small measured |
| Vibe Code Bench 1-100 (Vals AI) | 16.0% | Not measured | Only GLM 5.3 Flash measured |
| SkillsBench (Vals AI) | 40.2% | Not measured | Only GLM 5.3 Flash measured |
| CyberBench (Vals AI) | 67.9% | 72.7% | Inkling 2 Small |
| SciCode | 51.6% | 52.3% | Inkling 2 Small |
| Terminal-Bench 4.0 (Artificial Analysis run) | 32.8% | 13.1% | GLM 5.3 Flash |
| FrontierCode 2.0 | 17.6% | 25.4% | Inkling 2 Small |
| 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 | 1509 | 1455 | GLM 5.3 Flash |
| LMArena Text: software and IT | 1501 | 1443 | GLM 5.3 Flash |
| LMArena WebDev: React | 1628 | 1660 | Inkling 2 Small |
| LMArena WebDev: HTML | 1576 | 1661 | Inkling 2 Small |
| LMArena WebDev: from an image | 1582 | Not measured | Only GLM 5.3 Flash measured |
| SWE-Bench Pro V2 | Not measured | 97.7% | Only Inkling 2 Small measured |
| GameBench 2 | 60.8 | Not measured | Only GLM 5.3 Flash measured |
| Terminal-Bench 4.0 | 36.7% | Not measured | Only GLM 5.3 Flash measured |
| CursorBench 4.0 | 36.8% | Not measured | Only GLM 5.3 Flash measured |
| Neither model has a result on the other 22 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GLM 5.3 Flash | Inkling 2 Small | Leader |
|---|---|---|---|
| AA Intelligence Index | 27.8 | 30.6 | Inkling 2 Small |
| Epoch Capabilities Index | 153.8 | Not measured | Only GLM 5.3 Flash measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | GLM 5.3 Flash | Inkling 2 Small | Leader |
|---|---|---|---|
| AA Agentic Index | 50.9 | Not measured | Only GLM 5.3 Flash measured |
| LiveBench research | 73.9% | Not measured | Only GLM 5.3 Flash measured |
| LiveBench browser | 59.8% | Not measured | Only GLM 5.3 Flash measured |
| LiveBench long agentic | 20.7% | Not measured | Only GLM 5.3 Flash measured |
| SREBench (Vals AI) | 0.8% | 1.9% | Inkling 2 Small |
| Finance Agent (Vals AI) | 57.9% | Not measured | Only GLM 5.3 Flash measured |
| Tax Agent Bench (Vals AI) | 31.6% | 38.9% | Inkling 2 Small |
| Legal Research Bench (Vals AI) | 45.2% | 46.6% | Inkling 2 Small |
| Harvey's Legal Agent Benchmark (Vals AI) | 10.4% | 21.7% | Inkling 2 Small |
| Excel Modeling Benchmark (Vals AI) | 55.9% | Not measured | Only GLM 5.3 Flash measured |
| BioMysteryBench (Vals AI) | Not measured | 70.0% | Only Inkling 2 Small measured |
| Terminal-Bench-Science (Vals AI) | 2.9% | 2.9% | Tie |
| Vals Science Index | Not measured | 32.7% | Only Inkling 2 Small measured |
| APEX-Agents | 52.8% | 46.8% | GLM 5.3 Flash |
| PostTrainBench | 36.8% | Not measured | Only GLM 5.3 Flash measured |
| MCP Atlas | Not measured | 85.4% | Only Inkling 2 Small measured |
| Toolathlon-Verified | 78.4% | 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 index35
| Benchmark | GLM 5.3 Flash | Inkling 2 Small | Leader |
|---|---|---|---|
| GPQA Diamond | 86.4% | Not measured | Only GLM 5.3 Flash measured |
| LiveBench reasoning | 77.6% | Not measured | Only GLM 5.3 Flash measured |
| MysteryMechanism (Vals AI) | Not measured | 25.2% | Only Inkling 2 Small measured |
| MMMU Pro (Vals AI) | 86.0% | Not measured | Only GLM 5.3 Flash measured |
| GPQA Diamond (Artificial Analysis run) | 91.2% | Not measured | Only GLM 5.3 Flash measured |
| Humanity's Last Exam (Artificial Analysis run) | 39.9% | 44.1% | Inkling 2 Small |
| HLE-Diamond (Artificial Analysis run) | 18.2% | 28.7% | Inkling 2 Small |
| CritPt v2, hard subset (Artificial Analysis run) | 24.5% | 35.0% | Inkling 2 Small |
| GPQA Diamond (Epoch AI run) | 90.2% | Not measured | Only GLM 5.3 Flash measured |
| ARC-AGI | 91.0% | 96.5% | Inkling 2 Small |
| ARC-AGI-2 | 65.8% | 81.7% | Inkling 2 Small |
| Chess puzzles | 21.0% | Not measured | Only GLM 5.3 Flash measured |
| Mystery game puzzles | 8.0% | Not measured | Only GLM 5.3 Flash measured |
| LMArena Text: hard prompts | 1490 | 1421 | GLM 5.3 Flash |
| LMArena Text: expert | 1511 | 1478 | GLM 5.3 Flash |
| LMArena Text: hard prompts in English | 1492 | 1424 | GLM 5.3 Flash |
| LMArena Vision: diagrams | 1321 | Not measured | Only GLM 5.3 Flash measured |
| LMArena Vision: homework | 1323 | Not measured | Only GLM 5.3 Flash measured |
| Neither model has a result on the other 8 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | GLM 5.3 Flash | Inkling 2 Small | Leader |
|---|---|---|---|
| OTIS Mock AIME | 93.9% | Not measured | Only GLM 5.3 Flash measured |
| FrontierMath, tiers 1 to 3 | 55.8% | Not measured | Only GLM 5.3 Flash measured |
| FrontierMath, tier 4 | 17.1% | Not measured | Only GLM 5.3 Flash measured |
| ProofBench | 21.0% | Not measured | Only GLM 5.3 Flash measured |
| LMArena Text: math | 1503 | Not measured | Only GLM 5.3 Flash measured |
| LMArena Text: mathematical work | 1491 | Not measured | Only GLM 5.3 Flash measured |
| MathArena | Not measured | 42.4% | Only Inkling 2 Small measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | GLM 5.3 Flash | Inkling 2 Small | Leader |
|---|---|---|---|
| MMLU Pro | 86.1% | Not measured | Only GLM 5.3 Flash measured |
| LegalBench (Vals AI) | 83.9% | Not measured | Only GLM 5.3 Flash measured |
| TaxEval (Vals AI) | 75.6% | Not measured | Only GLM 5.3 Flash measured |
| AA-Omniscience | 0.7 | 16.1 | Inkling 2 Small |
| LMArena Text: science | 1485 | 1409 | GLM 5.3 Flash |
| LMArena Text: medicine and healthcare | 1480 | Not measured | Only GLM 5.3 Flash measured |
| LMArena Text: legal and government | 1478 | Not measured | Only GLM 5.3 Flash measured |
| LMArena Text: business and finance | 1461 | 1415 | GLM 5.3 Flash |
| Neither model has a result on the other 13 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | GLM 5.3 Flash | Inkling 2 Small | Leader |
|---|---|---|---|
| Design Arena: websites | 1257 | Not measured | Only GLM 5.3 Flash measured |
| Design Arena: UI components | 1296 | Not measured | Only GLM 5.3 Flash measured |
| Design Arena: game dev | 1266 | Not measured | Only GLM 5.3 Flash measured |
| Design Arena: data viz | 1258 | Not measured | Only GLM 5.3 Flash measured |
| Design Arena: 3D | 1292 | Not measured | Only GLM 5.3 Flash measured |
| Design Arena: all code categories | 1267 | Not measured | Only GLM 5.3 Flash measured |
| Design Arena: SVG | 1271 | Not measured | Only GLM 5.3 Flash measured |
| Design Arena: ASCII art | 1269 | Not measured | Only GLM 5.3 Flash measured |
| LiveBench design | 73.7% | Not measured | Only GLM 5.3 Flash measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index122
| Benchmark | GLM 5.3 Flash | Inkling 2 Small | Leader |
|---|---|---|---|
| Vals Index | 50.9% | 56.1% | Inkling 2 Small |
| LiveBench data analysis | 76.4% | Not measured | Only GLM 5.3 Flash measured |
| SAGE (Vals AI) | 89.3% | 88.6% | GLM 5.3 Flash |
| MedScribe (Vals AI) | 88.9% | Not measured | Only GLM 5.3 Flash measured |
| Long context reasoning (AA-LCR) | 80.0% | 83.3% | Inkling 2 Small |
| GDPval-AA | 1648 | 1630 | GLM 5.3 Flash |
| Surface Evolver Bench | 52.5% | Not measured | Only GLM 5.3 Flash measured |
| LMArena Text | 1472 | 1403 | GLM 5.3 Flash |
| LMArena Text: instruction following | 1480 | 1408 | GLM 5.3 Flash |
| LMArena Text: creative writing | 1442 | 1348 | GLM 5.3 Flash |
| LMArena Vision | 1295 | Not measured | Only GLM 5.3 Flash measured |
| LMArena Text: English | 1477 | 1418 | GLM 5.3 Flash |
| LMArena Text: non-English | 1462 | 1390 | GLM 5.3 Flash |
| LMArena Text: Chinese | 1528 | Not measured | Only GLM 5.3 Flash measured |
| LMArena Text: German | 1452 | Not measured | Only GLM 5.3 Flash measured |
| LMArena Text: Japanese | 1453 | Not measured | Only GLM 5.3 Flash measured |
| LMArena Text: Korean | 1427 | Not measured | Only GLM 5.3 Flash measured |
| LMArena Text: French | 1489 | Not measured | Only GLM 5.3 Flash measured |
| LMArena Text: Spanish | 1476 | Not measured | Only GLM 5.3 Flash measured |
| LMArena Text: Russian | 1467 | 1377 | GLM 5.3 Flash |
| LMArena Text: Polish | 1448 | Not measured | Only GLM 5.3 Flash measured |
| LMArena Text: multi-turn | 1471 | 1408 | GLM 5.3 Flash |
| LMArena Text: longer queries | 1481 | 1403 | GLM 5.3 Flash |
| LMArena Text: writing and language | 1457 | 1381 | GLM 5.3 Flash |
| LMArena Text: entertainment and media | 1442 | 1359 | GLM 5.3 Flash |
| LMArena Vision: English | 1299 | Not measured | Only GLM 5.3 Flash measured |
| LMArena Vision: Chinese | 1359 | Not measured | Only GLM 5.3 Flash measured |
| LMArena Vision: reading text | 1303 | Not measured | Only GLM 5.3 Flash measured |
| LMArena Vision: humor | 1291 | Not measured | Only GLM 5.3 Flash measured |
| LMArena Vision: recognizing things | 1279 | Not measured | Only GLM 5.3 Flash measured |
| LMArena Vision: creative writing | 1272 | Not measured | Only GLM 5.3 Flash measured |
| Neither model has a result on the other 18 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GLM 5.3 Flash | Inkling 2 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 2 Small |
|---|---|---|
| Maker | Z.ai | Thinking Machines |
| Weights | Open weights | Open weights |
| Released | August 26, 2026 | November 9, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.15 | $0.30 |
| Output $/Mtok | $0.50 | $1.00 |
| Coding index | 56.2 | 48.9 |
| Independent measurements behind it | 6 | 3 |
| Cost per solved task | $0.02 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GLM 5.3 Flash better than Inkling 2 Small for coding?
Pick GLM 5.3 Flash for coding: it scores 56.2 on the Vibe Coding Index against 48.9 for Inkling 2 Small. Pick Inkling 2 Small for work measured by LMArena WebDev or Vibe Code Bench (Vals AI), where it leads.
Which is cheaper, GLM 5.3 Flash or Inkling 2 Small?
GLM 5.3 Flash costs $0.15 per million input tokens and $0.50 per million output tokens; Inkling 2 Small costs $0.30 and $1.00. Cost per solved task is known for GLM 5.3 Flash only.
Which has the bigger context window, GLM 5.3 Flash or Inkling 2 Small?
Neither: both take 1.05M tokens.
How many benchmarks is the GLM 5.3 Flash vs Inkling 2 Small comparison based on?
44 benchmarks have a result for both models as of November 14, 2026. GLM 5.3 Flash's coding index rests on 6 independent benchmarks and Inkling 2 Small's on 3. Where only one model has a result, the page says so instead of naming a winner.