DeepSeek V4 Pro 0813 vs Inkling Small
DeepSeek V4 Pro 0813 leads Inkling Small on coding, 56.1 to 27.3 on the Vibe Coding Index, and Inkling Small costs 1.7x less per output token ($1.20 vs $1.98 per million). Updated October 22, 2026; 68 benchmarks have a result for both.
DeepSeek V4 Pro 0813 or Inkling Small: which to pick
Pick DeepSeek V4 Pro 0813 for coding: it scores 56.1 on the Vibe Coding Index against 27.3 for Inkling Small.
Pick Inkling Small for output tokens 1.7x cheaper ($1.20 vs $1.98 per million) and work measured by ProgramBench (Vals AI) or Terminal-Bench 2.1 (Vals AI), where it leads.
- Shared results
- 68
- DeepSeek V4 Pro 0813 only
- 10
- Inkling Small only
- 16
- 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 0813
DeepSeek V4 Pro 0813 scores 56.1 against 27.3.
5 and 4 benchmarks behind the scores
Intelligence
AA Intelligence Index
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 leads, 36.0 against 25.7.
Same board, both measured
Agentic work
AA Agentic Index
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 leads, 41.3 against 23.5.
Same board, both measured
Reasoning
GPQA Diamond
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 leads, 92.4% against 83.6%.
Same board, both measured
Knowledge
MMLU Pro
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 leads, 87.0% against 85.6%.
Same board, both measured
General
Vals Index
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 leads, 53.0% against 27.6%.
Same board, both measured
Long documents
Listed context window
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 takes 1.05M tokens against 524K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Inkling Small
DeepSeek V4 Pro 0813 $0.0016, Inkling Small $0.0010 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 $0.10, Inkling Small $0.16.
Published attempt cost and pass rate
At a glance
- Coding index
- DeepSeek V4 Pro 0813 56.1 from 5 benchmarks, Inkling Small 27.3 from 4 benchmarks.
- Widest category
- Coding, 17.9 points apart on average over 17 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): DeepSeek V4 Pro 0813 82.3% against Inkling Small 19.1%, 63.3 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4 Pro 0813 $1.98 against Inkling Small $1.20 per million output tokens, 1.7x apart.
- Context window
- DeepSeek V4 Pro 0813 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 0813 | Bars | Inkling Small | Ties |
|---|---|---|---|---|
| Coding | 15 | 2 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 6 | 0 | ||
| Reasoning | 10 | 0 | ||
| Math | 5 | 1 | ||
| Knowledge | 7 | 3 | ||
| General | 16 | 1 | ||
| All shared boards | 61 | 7 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index152
| Benchmark | DeepSeek V4 Pro 0813 | Inkling Small | Leader |
|---|---|---|---|
| LMArena WebDev | 1582 | 1409 | DeepSeek V4 Pro 0813 |
| AA Coding Index | 68.8 | 52.9 | DeepSeek V4 Pro 0813 |
| LiveCodeBench (Vals AI) | 87.5% | 85.9% | DeepSeek V4 Pro 0813 |
| SWE-bench Verified (Vals AI) | 96.4% | 82.2% | DeepSeek V4 Pro 0813 |
| Terminal-Bench 4 (Vals AI) | 14.1% | 0.0% | DeepSeek V4 Pro 0813 |
| Vibe Code Bench (Vals AI) | 82.3% | 19.1% | DeepSeek V4 Pro 0813 |
| Code migration (Vals AI) | 41.5% | 13.7% | DeepSeek V4 Pro 0813 |
| ProgramBench (Vals AI) | 0.0% | 0.5% | Inkling Small |
| IOI (Vals AI) | 51.6% | 9.3% | DeepSeek V4 Pro 0813 |
| Terminal-Bench 2.1 (Vals AI) | 54.7% | 55.1% | Inkling Small |
| Vibe Code Bench 1-100 (Vals AI) | 17.5% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| SkillsBench (Vals AI) | 53.8% | 33.6% | DeepSeek V4 Pro 0813 |
| CyberBench (Vals AI) | 72.9% | 64.1% | DeepSeek V4 Pro 0813 |
| SciCode | 51.0% | 49.7% | DeepSeek V4 Pro 0813 |
| FrontierCode | 28.5% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| WeirdML | 66.2% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| ALE-Bench | 1403.2 | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: coding | 1469 | 1450 | DeepSeek V4 Pro 0813 |
| LMArena Text: software and IT | 1462 | 1447 | DeepSeek V4 Pro 0813 |
| LMArena WebDev: React | 1588 | 1399 | DeepSeek V4 Pro 0813 |
| LMArena WebDev: HTML | 1566 | 1398 | DeepSeek V4 Pro 0813 |
| LMArena WebDev: from an image | Not measured | 1410 | Only Inkling Small measured |
| Neither model has a result on the other 17 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | DeepSeek V4 Pro 0813 | Inkling Small | Leader |
|---|---|---|---|
| AA Intelligence Index | 36.0 | 25.7 | DeepSeek V4 Pro 0813 |
| Epoch Capabilities Index | 155.6 | 150.3 | DeepSeek V4 Pro 0813 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | DeepSeek V4 Pro 0813 | Inkling Small | Leader |
|---|---|---|---|
| AA Agentic Index | 41.3 | 23.5 | DeepSeek V4 Pro 0813 |
| SREBench (Vals AI) | 1.9% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Finance Agent (Vals AI) | 50.4% | 41.3% | DeepSeek V4 Pro 0813 |
| Tax Agent Bench (Vals AI) | 26.8% | 15.4% | DeepSeek V4 Pro 0813 |
| Legal Research Bench (Vals AI) | 40.9% | 25.5% | DeepSeek V4 Pro 0813 |
| Harvey's Legal Agent Benchmark (Vals AI) | 10.8% | 2.9% | DeepSeek V4 Pro 0813 |
| Excel Modeling Benchmark (Vals AI) | 52.8% | 31.8% | DeepSeek V4 Pro 0813 |
| Terminal-Bench-Science (Vals AI) | 4.3% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| APEX-Agents | 47.3% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Neither model has a result on the other 32 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index100
| Benchmark | DeepSeek V4 Pro 0813 | Inkling Small | Leader |
|---|---|---|---|
| GPQA Diamond | 92.4% | 83.6% | DeepSeek V4 Pro 0813 |
| GPQA Diamond (Artificial Analysis run) | 92.8% | 89.5% | DeepSeek V4 Pro 0813 |
| Humanity's Last Exam (Artificial Analysis run) | 41.0% | 33.3% | DeepSeek V4 Pro 0813 |
| GPQA Diamond (Epoch AI run) | 91.7% | 88.5% | DeepSeek V4 Pro 0813 |
| ARC-AGI | 90.5% | 84.0% | DeepSeek V4 Pro 0813 |
| ARC-AGI-2 | 61.3% | 40.1% | DeepSeek V4 Pro 0813 |
| Chess puzzles | 46.0% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Mystery game puzzles | 43.0% | 6.0% | DeepSeek V4 Pro 0813 |
| LMArena Text: hard prompts | 1458 | 1423 | DeepSeek V4 Pro 0813 |
| LMArena Text: expert | 1459 | 1441 | DeepSeek V4 Pro 0813 |
| LMArena Text: hard prompts in English | 1463 | 1429 | DeepSeek V4 Pro 0813 |
| LMArena Vision: diagrams | Not measured | 1251 | Only Inkling Small measured |
| LMArena Vision: homework | Not measured | 1257 | Only Inkling Small measured |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index51
| Benchmark | DeepSeek V4 Pro 0813 | Inkling Small | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.6% | 90.0% | DeepSeek V4 Pro 0813 |
| FrontierMath, tiers 1 to 3 | 64.6% | 46.3% | DeepSeek V4 Pro 0813 |
| FrontierMath, tier 4 | 26.8% | 17.1% | DeepSeek V4 Pro 0813 |
| ProofBench | 50.0% | 6.0% | DeepSeek V4 Pro 0813 |
| LMArena Text: math | 1441 | 1459 | Inkling Small |
| LMArena Text: mathematical work | 1443 | 1441 | DeepSeek V4 Pro 0813 |
| 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 0813 | Inkling Small | Leader |
|---|---|---|---|
| MMLU Pro | 87.0% | 85.6% | DeepSeek V4 Pro 0813 |
| LegalBench (Vals AI) | 82.4% | 83.0% | Inkling Small |
| CorpFin (Vals AI) | 65.4% | 69.6% | Inkling Small |
| TaxEval (Vals AI) | 73.1% | 75.5% | Inkling Small |
| MortgageTax (Vals AI) | Not measured | 62.3% | Only Inkling Small measured |
| MedCode (Vals AI) | 42.5% | 37.9% | DeepSeek V4 Pro 0813 |
| SimpleQA Verified | 52.9% | 19.1% | DeepSeek V4 Pro 0813 |
| LMArena Text: science | 1457 | 1428 | DeepSeek V4 Pro 0813 |
| LMArena Text: medicine and healthcare | 1446 | 1413 | DeepSeek V4 Pro 0813 |
| LMArena Text: legal and government | 1459 | 1415 | DeepSeek V4 Pro 0813 |
| LMArena Text: business and finance | 1442 | 1413 | DeepSeek V4 Pro 0813 |
| Neither model has a result on the other 7 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V4 Pro 0813 | Inkling Small | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index161
| Benchmark | DeepSeek V4 Pro 0813 | Inkling Small | Leader |
|---|---|---|---|
| Vals Index | 53.0% | 27.6% | DeepSeek V4 Pro 0813 |
| 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) | 80.2% | 84.1% | Inkling Small |
| Vals Multimodal Index | Not measured | 50.0% | Only Inkling Small measured |
| Long context reasoning (AA-LCR) | 80.3% | 75.7% | DeepSeek V4 Pro 0813 |
| DTBench | 93.9% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LMCA | 45.5% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text | 1446 | 1413 | DeepSeek V4 Pro 0813 |
| LMArena Text: instruction following | 1448 | 1399 | DeepSeek V4 Pro 0813 |
| LMArena Text: creative writing | 1439 | 1334 | DeepSeek V4 Pro 0813 |
| LMArena Vision | Not measured | 1237 | Only Inkling Small measured |
| LMArena Text: English | 1457 | 1421 | DeepSeek V4 Pro 0813 |
| LMArena Text: non-English | 1431 | 1401 | DeepSeek V4 Pro 0813 |
| LMArena Text: Chinese | 1481 | 1464 | DeepSeek V4 Pro 0813 |
| LMArena Text: German | Not measured | 1408 | Only Inkling Small measured |
| LMArena Text: Japanese | Not measured | 1401 | Only Inkling Small measured |
| LMArena Text: Korean | 1449 | 1367 | DeepSeek V4 Pro 0813 |
| LMArena Text: French | 1446 | 1435 | DeepSeek V4 Pro 0813 |
| LMArena Text: Spanish | 1435 | 1422 | DeepSeek V4 Pro 0813 |
| LMArena Text: Russian | 1448 | 1394 | DeepSeek V4 Pro 0813 |
| LMArena Text: Polish | Not measured | 1428 | Only Inkling Small measured |
| LMArena Text: multi-turn | 1454 | 1416 | DeepSeek V4 Pro 0813 |
| LMArena Text: longer queries | 1458 | 1402 | DeepSeek V4 Pro 0813 |
| LMArena Text: writing and language | 1443 | 1357 | DeepSeek V4 Pro 0813 |
| LMArena Text: entertainment and media | 1424 | 1352 | DeepSeek V4 Pro 0813 |
| 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 15 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V4 Pro 0813 | 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 0813 | Thinking Machines Inkling Small |
|---|---|---|
| Maker | DeepSeek | Thinking Machines |
| Weights | Open weights | Open weights |
| Released | August 12, 2026 | July 30, 2026 |
| Context window | 1.05M | 524K |
| Input $/Mtok | $0.66 | $0.45 |
| Output $/Mtok | $1.98 | $1.20 |
| Coding index | 56.1 | 27.3 |
| Independent measurements behind it | 5 | 4 |
| Cost per solved task | $0.10 | $0.16 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4 Pro 0813 better than Inkling Small for coding?
Pick DeepSeek V4 Pro 0813 for coding: it scores 56.1 on the Vibe Coding Index against 27.3 for Inkling Small. Pick Inkling Small for output tokens 1.7x cheaper ($1.20 vs $1.98 per million) and work measured by ProgramBench (Vals AI) or Terminal-Bench 2.1 (Vals AI), where it leads.
Which is cheaper, DeepSeek V4 Pro 0813 or Inkling Small?
DeepSeek V4 Pro 0813 costs $0.66 per million input tokens and $1.98 per million output tokens; Inkling Small costs $0.45 and $1.20. Per solved SWE-bench Verified task, DeepSeek V4 Pro 0813 costs $0.10 and Inkling Small $0.16.
Which has the bigger context window, DeepSeek V4 Pro 0813 or Inkling Small?
DeepSeek V4 Pro 0813, with 1.05M tokens against 524K.
How many benchmarks is the DeepSeek V4 Pro 0813 vs Inkling Small comparison based on?
68 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Pro 0813'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.