DeepSeek V4 Pro 0423 vs Inkling Small
DeepSeek V4 Pro 0423 leads Inkling Small on coding, 38.7 to 27.3 on the Vibe Coding Index, and Inkling Small costs 2.5x less per output token ($1.20 vs $2.976 per million). Updated October 22, 2026; 62 benchmarks have a result for both.
DeepSeek V4 Pro 0423 or Inkling Small: which to pick
Pick DeepSeek V4 Pro 0423 for coding: it scores 38.7 on the Vibe Coding Index against 27.3 for Inkling Small.
Pick Inkling Small for output tokens 2.5x cheaper ($1.20 vs $2.976 per million) and a lower cost per solved task ($0.16 against $0.57).
- Shared results
- 62
- DeepSeek V4 Pro 0423 only
- 22
- Inkling Small only
- 22
- Like-for-like categories
- 7 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
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 scores 38.7 against 27.3.
5 and 4 benchmarks behind the scores
Intelligence
AA Intelligence Index
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 leads, 30.4 against 25.7.
Same board, both measured
Agentic work
AA Agentic Index
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 leads, 26.3 against 23.5.
Same board, both measured
Reasoning
GPQA Diamond
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 leads, 89.4% against 83.6%.
Same board, both measured
Knowledge
MMLU Pro
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 leads, 87.3% against 85.6%.
Same board, both measured
Web design
Design Arena: websites
No call
Only DeepSeek V4 Pro 0423 has a Design Arena: websites result, 1234.
Directional only
General
Vals Index
No call
Only Inkling Small has a Vals Index result, 27.6%.
Directional only
Long documents
Listed context window
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 takes 1.05M tokens against 524K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Inkling Small
DeepSeek V4 Pro 0423 $0.0028, Inkling Small $0.0010 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Inkling Small
DeepSeek V4 Pro 0423 $0.57, Inkling Small $0.16.
Published attempt cost and pass rate
At a glance
- Coding index
- DeepSeek V4 Pro 0423 38.7 from 5 benchmarks, Inkling Small 27.3 from 4 benchmarks.
- Widest category
- Coding, 8.5 points apart on average over 14 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): DeepSeek V4 Pro 0423 49.9% against Inkling Small 19.1%, 30.9 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4 Pro 0423 $2.976 against Inkling Small $1.20 per million output tokens, 2.5x apart.
- Context window
- DeepSeek V4 Pro 0423 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 | DeepSeek V4 Pro 0423 | Bars | Inkling Small | Ties |
|---|---|---|---|---|
| Coding | 11 | 3 | ||
| Intelligence | 1 | 1 | ||
| Agentic work | 4 | 1 | ||
| Reasoning | 6 | 0 | ||
| Math | 3 | 3 | ||
| Knowledge | 7 | 3 | ||
| General | 18 | 1 | ||
| All shared boards | 50 | 12 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index113
| Benchmark | DeepSeek V4 Pro 0423 | Inkling Small | Leader |
|---|---|---|---|
| LMArena WebDev | 1447 | 1409 | DeepSeek V4 Pro 0423 |
| AA Coding Index | 59.4 | 52.9 | DeepSeek V4 Pro 0423 |
| LiveCodeBench (Vals AI) | 87.5% | 85.9% | DeepSeek V4 Pro 0423 |
| SWE-bench Verified (Vals AI) | 77.4% | 82.2% | Inkling Small |
| Terminal-Bench 4 (Vals AI) | 11.1% | 0.0% | DeepSeek V4 Pro 0423 |
| Vibe Code Bench (Vals AI) | 49.9% | 19.1% | DeepSeek V4 Pro 0423 |
| Code migration (Vals AI) | 26.2% | 13.7% | DeepSeek V4 Pro 0423 |
| ProgramBench (Vals AI) | 0.0% | 0.5% | Inkling Small |
| IOI (Vals AI) | Not measured | 9.3% | Only Inkling Small measured |
| Terminal-Bench 2.1 (Vals AI) | 50.2% | 55.1% | Inkling Small |
| SkillsBench (Vals AI) | 51.3% | 33.6% | DeepSeek V4 Pro 0423 |
| CyberBench (Vals AI) | Not measured | 64.1% | Only Inkling Small measured |
| SciCode | Not measured | 49.7% | Only Inkling Small measured |
| FrontierCode | 17.6% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| WeirdML | 48.9% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| ALE-Bench | 1006.1 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| LMArena Text: coding | 1470 | 1450 | DeepSeek V4 Pro 0423 |
| LMArena Text: software and IT | 1469 | 1447 | DeepSeek V4 Pro 0423 |
| LMArena WebDev: React | 1441 | 1399 | DeepSeek V4 Pro 0423 |
| LMArena WebDev: HTML | 1435 | 1398 | DeepSeek V4 Pro 0423 |
| LMArena WebDev: from an image | Not measured | 1410 | Only Inkling Small measured |
| Neither model has a result on the other 18 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | DeepSeek V4 Pro 0423 | Inkling Small | Leader |
|---|---|---|---|
| AA Intelligence Index | 30.4 | 25.7 | DeepSeek V4 Pro 0423 |
| Epoch Capabilities Index | 149.1 | 150.3 | Inkling Small |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index41
| Benchmark | DeepSeek V4 Pro 0423 | Inkling Small | Leader |
|---|---|---|---|
| AA Agentic Index | 26.3 | 23.5 | DeepSeek V4 Pro 0423 |
| Design Arena: agents building web apps | 1000 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Design Arena: agents building full-stack apps | 948 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Design Arena: agents building Godot games | 1059 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Finance Agent (Vals AI) | 44.1% | 41.3% | DeepSeek V4 Pro 0423 |
| Tax Agent Bench (Vals AI) | 25.2% | 15.4% | DeepSeek V4 Pro 0423 |
| Legal Research Bench (Vals AI) | 23.1% | 25.5% | Inkling Small |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 2.9% | Only Inkling Small measured |
| Excel Modeling Benchmark (Vals AI) | 51.6% | 31.8% | DeepSeek V4 Pro 0423 |
| Vending-Bench 2 | $3,285 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Neither model has a result on the other 31 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | DeepSeek V4 Pro 0423 | Inkling Small | Leader |
|---|---|---|---|
| GPQA Diamond | 89.4% | 83.6% | DeepSeek V4 Pro 0423 |
| GPQA Diamond (Artificial Analysis run) | Not measured | 89.5% | Only Inkling Small measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 33.3% | Only Inkling Small measured |
| GPQA Diamond (Epoch AI run) | 90.9% | 88.5% | DeepSeek V4 Pro 0423 |
| ARC-AGI | Not measured | 84.0% | Only Inkling Small measured |
| ARC-AGI-2 | Not measured | 40.1% | Only Inkling Small measured |
| Chess puzzles | 19.0% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Mystery game puzzles | 17.0% | 6.0% | DeepSeek V4 Pro 0423 |
| LMArena Text: hard prompts | 1461 | 1423 | DeepSeek V4 Pro 0423 |
| LMArena Text: expert | 1463 | 1441 | DeepSeek V4 Pro 0423 |
| LMArena Text: hard prompts in English | 1466 | 1429 | DeepSeek V4 Pro 0423 |
| LMArena Vision: diagrams | Not measured | 1251 | Only Inkling Small measured |
| LMArena Vision: homework | Not measured | 1257 | Only Inkling Small measured |
| Kagi LLM Benchmark | 53.5% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index33
| Benchmark | DeepSeek V4 Pro 0423 | Inkling Small | Leader |
|---|---|---|---|
| OTIS Mock AIME | 96.7% | 90.0% | DeepSeek V4 Pro 0423 |
| FrontierMath, tiers 1 to 3 | 45.3% | 46.3% | Inkling Small |
| FrontierMath, tier 4 | 2.4% | 17.1% | Inkling Small |
| ProofBench | 16.0% | 6.0% | DeepSeek V4 Pro 0423 |
| LMArena Text: math | 1443 | 1459 | Inkling Small |
| LMArena Text: mathematical work | 1455 | 1441 | DeepSeek V4 Pro 0423 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index73
| Benchmark | DeepSeek V4 Pro 0423 | Inkling Small | Leader |
|---|---|---|---|
| MMLU Pro | 87.3% | 85.6% | DeepSeek V4 Pro 0423 |
| LegalBench (Vals AI) | 80.3% | 83.0% | Inkling Small |
| CaseLaw (Vals AI) | 59.4% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| CorpFin (Vals AI) | 61.4% | 69.6% | Inkling Small |
| TaxEval (Vals AI) | 72.1% | 75.5% | Inkling Small |
| MortgageTax (Vals AI) | Not measured | 62.3% | Only Inkling Small measured |
| MedCode (Vals AI) | 40.5% | 37.9% | DeepSeek V4 Pro 0423 |
| SimpleQA Verified | 47.0% | 19.1% | DeepSeek V4 Pro 0423 |
| LMArena Text: science | 1470 | 1428 | DeepSeek V4 Pro 0423 |
| LMArena Text: medicine and healthcare | 1466 | 1413 | DeepSeek V4 Pro 0423 |
| LMArena Text: legal and government | 1464 | 1415 | DeepSeek V4 Pro 0423 |
| LMArena Text: business and finance | 1443 | 1413 | DeepSeek V4 Pro 0423 |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | DeepSeek V4 Pro 0423 | Inkling Small | Leader |
|---|---|---|---|
| Design Arena: websites | 1234 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Design Arena: UI components | 1219 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Design Arena: game dev | 1228 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Design Arena: data viz | 1203 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Design Arena: 3D | 1253 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Design Arena: all code categories | 1240 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Design Arena: SVG | 1139 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Design Arena: ASCII art | 1149 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index181
| Benchmark | DeepSeek V4 Pro 0423 | Inkling Small | Leader |
|---|---|---|---|
| Vals Index | Not measured | 27.6% | Only Inkling Small measured |
| Public Benefits Bench (Vals AI) | 62.9% | 59.4% | DeepSeek V4 Pro 0423 |
| SAGE (Vals AI) | Not measured | 32.7% | Only Inkling Small measured |
| MedScribe (Vals AI) | 75.1% | 84.1% | Inkling Small |
| Vals Multimodal Index | Not measured | 50.0% | Only Inkling Small measured |
| Long context reasoning (AA-LCR) | Not measured | 75.7% | Only Inkling Small measured |
| DTBench | 90.7% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| LMCA | 41.2% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Surface Evolver Bench | 40.0% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| CL-bench Life | 13.5% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| LMArena Text | 1451 | 1413 | DeepSeek V4 Pro 0423 |
| LMArena Text: instruction following | 1445 | 1399 | DeepSeek V4 Pro 0423 |
| LMArena Text: creative writing | 1446 | 1334 | DeepSeek V4 Pro 0423 |
| LMArena Vision | Not measured | 1237 | Only Inkling Small measured |
| LMArena Text: English | 1459 | 1421 | DeepSeek V4 Pro 0423 |
| LMArena Text: non-English | 1439 | 1401 | DeepSeek V4 Pro 0423 |
| LMArena Text: Chinese | 1481 | 1464 | DeepSeek V4 Pro 0423 |
| LMArena Text: German | 1458 | 1408 | DeepSeek V4 Pro 0423 |
| LMArena Text: Japanese | 1446 | 1401 | DeepSeek V4 Pro 0423 |
| LMArena Text: Korean | 1409 | 1367 | DeepSeek V4 Pro 0423 |
| LMArena Text: French | 1473 | 1435 | DeepSeek V4 Pro 0423 |
| LMArena Text: Spanish | 1457 | 1422 | DeepSeek V4 Pro 0423 |
| LMArena Text: Russian | 1453 | 1394 | DeepSeek V4 Pro 0423 |
| LMArena Text: Polish | 1461 | 1428 | DeepSeek V4 Pro 0423 |
| LMArena Text: multi-turn | 1468 | 1416 | DeepSeek V4 Pro 0423 |
| LMArena Text: longer queries | 1458 | 1402 | DeepSeek V4 Pro 0423 |
| LMArena Text: writing and language | 1447 | 1357 | DeepSeek V4 Pro 0423 |
| LMArena Text: entertainment and media | 1431 | 1352 | DeepSeek V4 Pro 0423 |
| LMArena Vision: English | Not measured | 1243 | Only Inkling Small measured |
| LMArena Vision: Chinese | Not measured | 1292 | Only Inkling Small measured |
| LMArena Vision: reading text | Not measured | 1243 | Only Inkling Small measured |
| LMArena Vision: humor | Not measured | 1207 | Only Inkling Small measured |
| LMArena Vision: creative writing | Not measured | 1205 | Only Inkling Small measured |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V4 Pro 0423 | 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
Inkling Small costs less
Repository review
50K input + 3K output tokens
Inkling Small costs less
Agent loop
200K input + 10K output tokens
Inkling Small 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 | DeepSeek V4 Pro 0423 | Thinking Machines Inkling Small |
|---|---|---|
| Maker | DeepSeek | Thinking Machines |
| Weights | Open weights | Open weights |
| Released | April 24, 2026 | July 30, 2026 |
| Context window | 1.05M | 524K |
| Input $/Mtok | $1.358 | $0.45 |
| Output $/Mtok | $2.976 | $1.20 |
| Coding index | 38.7 | 27.3 |
| Independent measurements behind it | 5 | 4 |
| Cost per solved task | $0.57 | $0.16 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4 Pro 0423 better than Inkling Small for coding?
Pick DeepSeek V4 Pro 0423 for coding: it scores 38.7 on the Vibe Coding Index against 27.3 for Inkling Small. Pick Inkling Small for output tokens 2.5x cheaper ($1.20 vs $2.976 per million) and a lower cost per solved task ($0.16 against $0.57).
Which is cheaper, DeepSeek V4 Pro 0423 or Inkling Small?
DeepSeek V4 Pro 0423 costs $1.358 per million input tokens and $2.976 per million output tokens; Inkling Small costs $0.45 and $1.20. Per solved SWE-bench Verified task, DeepSeek V4 Pro 0423 costs $0.57 and Inkling Small $0.16.
Which has the bigger context window, DeepSeek V4 Pro 0423 or Inkling Small?
DeepSeek V4 Pro 0423, with 1.05M tokens against 524K.
How many benchmarks is the DeepSeek V4 Pro 0423 vs Inkling Small comparison based on?
62 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Pro 0423's coding index rests on 5 independent benchmarks and Inkling Small's on 4. Where only one model has a result, the page says so instead of naming a winner.