DeepSeek V4 Pro 0813 vs Inkling 2 Small
DeepSeek V4 Pro 0813 leads Inkling 2 Small on coding, 56.1 to 48.9 on the Vibe Coding Index, and Inkling 2 Small costs 2.0x less per output token ($1.00 vs $1.98 per million). Updated November 14, 2026; 43 benchmarks have a result for both.
DeepSeek V4 Pro 0813 or Inkling 2 Small: which to pick
Pick DeepSeek V4 Pro 0813 for coding: it scores 56.1 on the Vibe Coding Index against 48.9 for Inkling 2 Small.
Pick Inkling 2 Small for output tokens 2.0x cheaper ($1.00 vs $1.98 per million) and work measured by LMArena WebDev or ProgramBench (Vals AI), where it leads.
- Shared results
- 43
- DeepSeek V4 Pro 0813 only
- 44
- Inkling 2 Small only
- 8
- 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
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 scores 56.1 against 48.9.
5 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
Inkling 2 Small
Inkling 2 Small leads, 30.6 against 23.1.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only DeepSeek V4 Pro 0813 has a AA Agentic Index result, 41.3.
Directional only
Reasoning
GPQA Diamond
No call
Only DeepSeek V4 Pro 0813 has a GPQA Diamond result, 92.4%.
Directional only
Knowledge
MMLU Pro
No call
Only DeepSeek V4 Pro 0813 has a MMLU Pro result, 87.0%.
Directional only
General
Vals Index
Inkling 2 Small
Inkling 2 Small leads, 56.1% against 53.0%.
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
Inkling 2 Small
DeepSeek V4 Pro 0813 $0.0016, Inkling 2 Small $0.0008 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only DeepSeek V4 Pro 0813 has the number, $0.10.
Directional only
At a glance
- Coding index
- DeepSeek V4 Pro 0813 56.1 from 5 benchmarks, Inkling 2 Small 48.9 from 3 benchmarks.
- Widest category
- General, 8.5 points apart on average over 13 shared benchmarks.
- Widest single gap
- ARC-AGI-2: DeepSeek V4 Pro 0813 61.3% against Inkling 2 Small 81.7%, 20.4 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4 Pro 0813 $1.98 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 | DeepSeek V4 Pro 0813 | Bars | Inkling 2 Small | Ties |
|---|---|---|---|---|
| Coding | 6 | 6 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 2 | 3 | 1 tie | |
| Reasoning | 2 | 6 | ||
| Knowledge | 2 | 1 | ||
| General | 10 | 3 | ||
| All shared boards | 22 | 20 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index66
| Benchmark | DeepSeek V4 Pro 0813 | Inkling 2 Small | Leader |
|---|---|---|---|
| LMArena WebDev | 1581 | 1647 | Inkling 2 Small |
| AA Coding Index | 68.8 | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LiveCodeBench (Vals AI) | 87.5% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| SWE-bench Verified (Vals AI) | 96.4% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Terminal-Bench 4 (Vals AI) | 14.1% | 12.6% | DeepSeek V4 Pro 0813 |
| Vibe Code Bench (Vals AI) | 82.3% | 81.5% | DeepSeek V4 Pro 0813 |
| Code migration (Vals AI) | 41.5% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| ProgramBench (Vals AI) | 0.0% | 0.5% | Inkling 2 Small |
| IOI (Vals AI) | 51.6% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Terminal-Bench 2.1 (Vals AI) | 54.7% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| SWE-bench Multimodal (Vals AI) | Not measured | 43.1% | Only Inkling 2 Small measured |
| Vibe Code Bench 1-100 (Vals AI) | 17.5% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| SkillsBench (Vals AI) | 53.8% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| CyberBench (Vals AI) | 72.9% | 72.7% | DeepSeek V4 Pro 0813 |
| SciCode | 51.7% | 52.3% | Inkling 2 Small |
| Terminal-Bench 4.0 (Artificial Analysis run) | 14.1% | 13.1% | DeepSeek V4 Pro 0813 |
| FrontierCode 2.0 | 17.1% | 25.4% | Inkling 2 Small |
| FrontierCode | 28.5% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| WeirdML | 66.2% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| MirrorCode | 33.3% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| ALE-Bench | 1403.2 | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: coding | 1467 | 1455 | DeepSeek V4 Pro 0813 |
| LMArena Text: software and IT | 1460 | 1443 | DeepSeek V4 Pro 0813 |
| LMArena WebDev: React | 1586 | 1660 | Inkling 2 Small |
| LMArena WebDev: HTML | 1561 | 1661 | Inkling 2 Small |
| SWE-Bench Pro V2 | Not measured | 97.7% | Only Inkling 2 Small measured |
| GameBench 2 | 53.6 | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Terminal-Bench 4.0 | 6.7% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Neither model has a result on the other 24 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V4 Pro 0813 | Inkling 2 Small | Leader |
|---|---|---|---|
| AA Intelligence Index | 23.1 | 30.6 | Inkling 2 Small |
| Epoch Capabilities Index | 155.9 | Not measured | Only DeepSeek V4 Pro 0813 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index23
| Benchmark | DeepSeek V4 Pro 0813 | Inkling 2 Small | Leader |
|---|---|---|---|
| AA Agentic Index | 41.3 | Not measured | Only DeepSeek V4 Pro 0813 measured |
| SREBench (Vals AI) | 1.9% | 1.9% | Tie |
| Finance Agent (Vals AI) | 50.4% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Tax Agent Bench (Vals AI) | 26.8% | 38.9% | Inkling 2 Small |
| Legal Research Bench (Vals AI) | 40.9% | 46.6% | Inkling 2 Small |
| Harvey's Legal Agent Benchmark (Vals AI) | 10.8% | 21.7% | Inkling 2 Small |
| Excel Modeling Benchmark (Vals AI) | 52.8% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| BioMysteryBench (Vals AI) | Not measured | 70.0% | Only Inkling 2 Small measured |
| Terminal-Bench-Science (Vals AI) | 4.3% | 2.9% | DeepSeek V4 Pro 0813 |
| Vals Science Index | Not measured | 32.7% | Only Inkling 2 Small measured |
| APEX-Agents | 47.3% | 46.8% | DeepSeek V4 Pro 0813 |
| MCP Atlas | Not measured | 85.4% | Only Inkling 2 Small measured |
| Toolathlon-Verified | 74.4% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Neither model has a result on the other 31 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index26
| Benchmark | DeepSeek V4 Pro 0813 | Inkling 2 Small | Leader |
|---|---|---|---|
| GPQA Diamond | 92.4% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| MysteryMechanism (Vals AI) | Not measured | 25.2% | Only Inkling 2 Small measured |
| GPQA Diamond (Artificial Analysis run) | 92.8% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Humanity's Last Exam (Artificial Analysis run) | 41.5% | 44.1% | Inkling 2 Small |
| HLE-Diamond (Artificial Analysis run) | 20.5% | 28.7% | Inkling 2 Small |
| CritPt v2, hard subset (Artificial Analysis run) | 28.5% | 35.0% | Inkling 2 Small |
| GPQA Diamond (Epoch AI run) | 91.7% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| ARC-AGI | 90.5% | 96.5% | Inkling 2 Small |
| ARC-AGI-2 | 61.3% | 81.7% | Inkling 2 Small |
| Chess puzzles | 46.0% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Mystery game puzzles | 43.0% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: hard prompts | 1457 | 1421 | DeepSeek V4 Pro 0813 |
| LMArena Text: expert | 1455 | 1478 | Inkling 2 Small |
| LMArena Text: hard prompts in English | 1463 | 1424 | DeepSeek V4 Pro 0813 |
| Neither model has a result on the other 12 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | DeepSeek V4 Pro 0813 | Inkling 2 Small | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.6% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| FrontierMath, tiers 1 to 3 | 64.6% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| FrontierMath, tier 4 | 26.8% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| ProofBench | 50.0% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: math | 1433 | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: mathematical work | 1438 | Not measured | Only DeepSeek V4 Pro 0813 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 | DeepSeek V4 Pro 0813 | Inkling 2 Small | Leader |
|---|---|---|---|
| MMLU Pro | 87.0% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LegalBench (Vals AI) | 82.4% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| CorpFin (Vals AI) | 65.4% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| TaxEval (Vals AI) | 73.1% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| MedCode (Vals AI) | 42.5% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| AA-Omniscience | -6.4 | 16.1 | Inkling 2 Small |
| SimpleQA Verified | 52.9% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: science | 1457 | 1409 | DeepSeek V4 Pro 0813 |
| LMArena Text: medicine and healthcare | 1446 | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: legal and government | 1460 | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: business and finance | 1442 | 1415 | DeepSeek V4 Pro 0813 |
| Neither model has a result on the other 10 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V4 Pro 0813 | Inkling 2 Small | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index103
| Benchmark | DeepSeek V4 Pro 0813 | Inkling 2 Small | Leader |
|---|---|---|---|
| Vals Index | 53.0% | 56.1% | Inkling 2 Small |
| SAGE (Vals AI) | Not measured | 88.6% | Only Inkling 2 Small measured |
| MedScribe (Vals AI) | 80.2% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Long context reasoning (AA-LCR) | 80.3% | 83.3% | Inkling 2 Small |
| GDPval-AA | 1456 | 1630 | Inkling 2 Small |
| DTBench | 93.9% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LMCA | 45.5% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text | 1445 | 1403 | DeepSeek V4 Pro 0813 |
| LMArena Text: instruction following | 1448 | 1408 | DeepSeek V4 Pro 0813 |
| LMArena Text: creative writing | 1437 | 1348 | DeepSeek V4 Pro 0813 |
| LMArena Text: English | 1458 | 1418 | DeepSeek V4 Pro 0813 |
| LMArena Text: non-English | 1429 | 1390 | DeepSeek V4 Pro 0813 |
| LMArena Text: Chinese | 1478 | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: French | 1440 | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: Spanish | 1436 | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: Russian | 1444 | 1377 | DeepSeek V4 Pro 0813 |
| LMArena Text: multi-turn | 1452 | 1408 | DeepSeek V4 Pro 0813 |
| LMArena Text: longer queries | 1457 | 1403 | DeepSeek V4 Pro 0813 |
| LMArena Text: writing and language | 1442 | 1381 | DeepSeek V4 Pro 0813 |
| LMArena Text: entertainment and media | 1424 | 1359 | DeepSeek V4 Pro 0813 |
| Neither model has a result on the other 29 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V4 Pro 0813 | 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
Inkling 2 Small costs less
Repository review
50K input + 3K output tokens
Inkling 2 Small costs less
Agent loop
200K input + 10K output tokens
Inkling 2 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 2 Small |
|---|---|---|
| Maker | DeepSeek | Thinking Machines |
| Weights | Open weights | Open weights |
| Released | August 12, 2026 | November 9, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.66 | $0.30 |
| Output $/Mtok | $1.98 | $1.00 |
| Coding index | 56.1 | 48.9 |
| Independent measurements behind it | 5 | 3 |
| Cost per solved task | $0.10 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4 Pro 0813 better than Inkling 2 Small for coding?
Pick DeepSeek V4 Pro 0813 for coding: it scores 56.1 on the Vibe Coding Index against 48.9 for Inkling 2 Small. Pick Inkling 2 Small for output tokens 2.0x cheaper ($1.00 vs $1.98 per million) and work measured by LMArena WebDev or ProgramBench (Vals AI), where it leads.
Which is cheaper, DeepSeek V4 Pro 0813 or Inkling 2 Small?
DeepSeek V4 Pro 0813 costs $0.66 per million input tokens and $1.98 per million output tokens; Inkling 2 Small costs $0.30 and $1.00. Cost per solved task is known for DeepSeek V4 Pro 0813 only.
Which has the bigger context window, DeepSeek V4 Pro 0813 or Inkling 2 Small?
Neither: both take 1.05M tokens.
How many benchmarks is the DeepSeek V4 Pro 0813 vs Inkling 2 Small comparison based on?
43 benchmarks have a result for both models as of November 14, 2026. DeepSeek V4 Pro 0813's coding index rests on 5 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.