DeepSeek V3.2 Exp vs Inkling
Inkling leads DeepSeek V3.2 Exp on the Artificial Analysis Intelligence Index, 25.0 to 16.6, and DeepSeek V3.2 Exp costs 9.9x less per output token ($0.41 vs $4.05 per million). Updated October 21, 2026; 45 benchmarks have a result for both.
DeepSeek V3.2 Exp or Inkling: which to pick
Only Inkling has a coding score, 31.5 on the Vibe Coding Index; DeepSeek V3.2 Exp has none, so the two cannot be ranked on coding.
Pick DeepSeek V3.2 Exp for output tokens 9.9x cheaper ($0.41 vs $4.05 per million) and work measured by WeirdML or LMArena Text: medicine and healthcare, where it leads.
- Shared results
- 45
- DeepSeek V3.2 Exp only
- 14
- Inkling only
- 57
- 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
No call
Only Inkling has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Inkling
Inkling leads, 25.0 against 16.6.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Inkling has a AA Agentic Index result, 22.5.
Directional only
Reasoning
GPQA Diamond
No call
Only Inkling has a GPQA Diamond result, 87.1%.
Directional only
Knowledge
MMLU Pro
No call
Only Inkling has a MMLU Pro result, 86.3%.
Directional only
Web design
Design Arena: websites
Inkling
Inkling leads, 1224 against 1179.
Same board, both measured
General
Vals Index
No call
Only Inkling has a Vals Index result, 29.0%.
Directional only
Long documents
Listed context window
Inkling
Inkling takes 524K tokens against 164K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V3.2 Exp
DeepSeek V3.2 Exp $0.0005, Inkling $0.0030 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Inkling has the number, $0.76.
Directional only
At a glance
- Coding index
- DeepSeek V3.2 Exp not benchmarked, Inkling 31.5 from 6 benchmarks.
- Widest category
- Coding, 11.2 points apart on average over 5 shared benchmarks.
- Widest single gap
- LMArena WebDev: DeepSeek V3.2 Exp 1272 against Inkling 1414, 20.3 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V3.2 Exp $0.41 against Inkling $4.05 per million output tokens, 9.9x apart.
- Context window
- DeepSeek V3.2 Exp takes 164K tokens, Inkling 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 V3.2 Exp | Bars | Inkling | Ties |
|---|---|---|---|---|
| Coding | 1 | 4 | ||
| Intelligence | 0 | 2 | ||
| Reasoning | 0 | 5 | ||
| Math | 0 | 2 | ||
| Knowledge | 1 | 3 | ||
| Web design | 0 | 7 | ||
| General | 4 | 16 | ||
| All shared boards | 6 | 39 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index14
| Benchmark | DeepSeek V3.2 Exp | Inkling | Leader |
|---|---|---|---|
| Aider polyglot | 74.2% | Not measured | Only DeepSeek V3.2 Exp measured |
| LiveBench coding | Not measured | 64.0% | Only Inkling measured |
| LMArena WebDev | 1272 | 1414 | Inkling |
| AA Coding Index | Not measured | 52.1 | Only Inkling measured |
| LiveCodeBench (Vals AI) | Not measured | 85.5% | Only Inkling measured |
| SWE-bench Verified (Vals AI) | Not measured | 77.6% | Only Inkling measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 0.5% | Only Inkling measured |
| Vibe Code Bench (Vals AI) | Not measured | 19.2% | Only Inkling measured |
| Code migration (Vals AI) | Not measured | 11.8% | Only Inkling measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Inkling measured |
| IOI (Vals AI) | Not measured | 14.9% | Only Inkling measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 47.6% | Only Inkling measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 7.3% | Only Inkling measured |
| SkillsBench (Vals AI) | Not measured | 26.1% | Only Inkling measured |
| CyberBench (Vals AI) | Not measured | 66.8% | Only Inkling measured |
| LiveCodeBench (Artificial Analysis run) | 78.9% | Not measured | Only DeepSeek V3.2 Exp measured |
| SciCode | Not measured | 47.0% | Only Inkling measured |
| Terminal-Bench Hard (Artificial Analysis run) | 31.1% | Not measured | Only DeepSeek V3.2 Exp measured |
| FrontierCode | Not measured | 14.0% | Only Inkling measured |
| FrontierSWE | Not measured | 4.1% | Only Inkling measured |
| WeirdML | 39.5% | 32.3% | DeepSeek V3.2 Exp |
| ALE-Bench | Not measured | 946.0 | Only Inkling measured |
| LMArena Text: coding | 1438 | 1466 | Inkling |
| LMArena Text: software and IT | 1438 | 1465 | Inkling |
| LMArena WebDev: React | Not measured | 1404 | Only Inkling measured |
| LMArena WebDev: HTML | 1281 | 1399 | Inkling |
| Neither model has a result on the other 13 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | DeepSeek V3.2 Exp | Inkling | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.6 | 25.0 | Inkling |
| Epoch Capabilities Index | 144.9 | 148.4 | Inkling |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index15 boards, none shared
| Benchmark | DeepSeek V3.2 Exp | Inkling | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 22.5 | Only Inkling measured |
| Design Arena: agents building web apps | Not measured | 1196 | Only Inkling measured |
| LiveBench research | Not measured | 59.9% | Only Inkling measured |
| LiveBench browser | Not measured | 16.0% | Only Inkling measured |
| LiveBench long agentic | Not measured | 14.1% | Only Inkling measured |
| SREBench (Vals AI) | Not measured | 0.0% | Only Inkling measured |
| Finance Agent (Vals AI) | Not measured | 46.6% | Only Inkling measured |
| Tax Agent Bench (Vals AI) | Not measured | 15.3% | Only Inkling measured |
| Legal Research Bench (Vals AI) | Not measured | 28.4% | Only Inkling measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 3.8% | Only Inkling measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 38.4% | Only Inkling measured |
| τ²-Bench Telecom | 33.9% | Not measured | Only DeepSeek V3.2 Exp measured |
| APEX-Agents | Not measured | 33.8% | Only Inkling measured |
| TheAgentCompany | 42.9% | Not measured | Only DeepSeek V3.2 Exp measured |
| Berkeley Function Calling Leaderboard (BFCL) | 56.7% | Not measured | Only DeepSeek V3.2 Exp measured |
| Neither model has a result on the other 26 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | DeepSeek V3.2 Exp | Inkling | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 87.1% | Only Inkling measured |
| LiveBench reasoning | Not measured | 78.3% | Only Inkling measured |
| MMMU Pro (Vals AI) | Not measured | 78.5% | Only Inkling measured |
| GPQA Diamond (Artificial Analysis run) | 79.7% | 87.2% | Inkling |
| Humanity's Last Exam (Artificial Analysis run) | 14.9% | 31.9% | Inkling |
| GPQA Diamond (Epoch AI run) | Not measured | 88.3% | Only Inkling measured |
| ARC-AGI | Not measured | 79.5% | Only Inkling measured |
| ARC-AGI-2 | Not measured | 36.5% | Only Inkling measured |
| SimpleBench | Not measured | 50.0% | Only Inkling measured |
| Chess puzzles | Not measured | 21.0% | Only Inkling measured |
| LMArena Text: hard prompts | 1429 | 1451 | Inkling |
| LMArena Text: expert | 1422 | 1466 | Inkling |
| LMArena Text: hard prompts in English | 1444 | 1448 | Inkling |
| Kagi LLM Benchmark | 52.2% | Not measured | Only DeepSeek V3.2 Exp measured |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | DeepSeek V3.2 Exp | Inkling | Leader |
|---|---|---|---|
| AA Math Index | 87.7 | Not measured | Only DeepSeek V3.2 Exp measured |
| AIME 2025 (Artificial Analysis run) | 87.7% | Not measured | Only DeepSeek V3.2 Exp measured |
| OTIS Mock AIME | Not measured | 88.9% | Only Inkling measured |
| FrontierMath, tiers 1 to 3 | Not measured | 33.3% | Only Inkling measured |
| FrontierMath, tier 4 | Not measured | 4.9% | Only Inkling measured |
| ProofBench | Not measured | 0.0% | Only Inkling measured |
| LMArena Text: math | 1422 | 1479 | Inkling |
| LMArena Text: mathematical work | 1433 | 1460 | Inkling |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index13
| Benchmark | DeepSeek V3.2 Exp | Inkling | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 86.3% | Only Inkling measured |
| LegalBench (Vals AI) | Not measured | 83.0% | Only Inkling measured |
| CorpFin (Vals AI) | Not measured | 68.6% | Only Inkling measured |
| TaxEval (Vals AI) | Not measured | 75.3% | Only Inkling measured |
| MortgageTax (Vals AI) | Not measured | 64.0% | Only Inkling measured |
| MedCode (Vals AI) | Not measured | 41.2% | Only Inkling measured |
| MMLU Pro (Artificial Analysis run) | 85.0% | Not measured | Only DeepSeek V3.2 Exp measured |
| SimpleQA Verified | Not measured | 40.3% | Only Inkling measured |
| LMArena Text: science | 1443 | 1455 | Inkling |
| LMArena Text: medicine and healthcare | 1468 | 1447 | DeepSeek V3.2 Exp |
| LMArena Text: legal and government | 1419 | 1448 | Inkling |
| LMArena Text: business and finance | 1412 | 1438 | Inkling |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | DeepSeek V3.2 Exp | Inkling | Leader |
|---|---|---|---|
| Design Arena: websites | 1179 | 1224 | Inkling |
| Design Arena: UI components | 1167 | 1201 | Inkling |
| Design Arena: game dev | 1144 | 1166 | Inkling |
| Design Arena: data viz | 1152 | 1159 | Inkling |
| Design Arena: 3D | 1148 | 1161 | Inkling |
| Design Arena: all code categories | 1171 | 1206 | Inkling |
| Design Arena: SVG | 1032 | 1110 | Inkling |
| Design Arena: ASCII art | Not measured | 1089 | Only Inkling measured |
| LiveBench design | Not measured | 58.3% | Only Inkling measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index416
| Benchmark | DeepSeek V3.2 Exp | Inkling | Leader |
|---|---|---|---|
| Vals Index | Not measured | 29.0% | Only Inkling measured |
| LiveBench data analysis | Not measured | 72.8% | Only Inkling measured |
| Public Benefits Bench (Vals AI) | Not measured | 58.5% | Only Inkling measured |
| SAGE (Vals AI) | Not measured | 36.5% | Only Inkling measured |
| MedScribe (Vals AI) | Not measured | 85.4% | Only Inkling measured |
| Vals Multimodal Index | Not measured | 49.4% | Only Inkling measured |
| IFBench | 54.1% | Not measured | Only DeepSeek V3.2 Exp measured |
| Long context reasoning (AA-LCR) | 72.3% | 77.3% | Inkling |
| DTBench | 87.7% | 87.5% | DeepSeek V3.2 Exp |
| LMCA | 29.1% | 37.6% | Inkling |
| Fiction.LiveBench | 83.3% | Not measured | Only DeepSeek V3.2 Exp measured |
| CL-bench | 13.2% | Not measured | Only DeepSeek V3.2 Exp measured |
| CL-bench Life | 9.5% | Not measured | Only DeepSeek V3.2 Exp measured |
| LMArena Text | 1425 | 1442 | Inkling |
| LMArena Text: instruction following | 1401 | 1425 | Inkling |
| LMArena Text: creative writing | 1404 | 1390 | DeepSeek V3.2 Exp |
| LMArena Text: English | 1441 | 1442 | Inkling |
| LMArena Text: non-English | 1404 | 1434 | Inkling |
| LMArena Text: Chinese | 1461 | 1493 | Inkling |
| LMArena Text: German | 1440 | 1445 | Inkling |
| LMArena Text: Japanese | 1331 | 1429 | Inkling |
| LMArena Text: Korean | 1372 | 1403 | Inkling |
| LMArena Text: French | 1434 | 1455 | Inkling |
| LMArena Text: Spanish | 1441 | 1449 | Inkling |
| LMArena Text: Russian | 1412 | 1430 | Inkling |
| LMArena Text: Polish | 1435 | 1450 | Inkling |
| LMArena Text: multi-turn | 1422 | 1437 | Inkling |
| LMArena Text: longer queries | 1418 | 1435 | Inkling |
| LMArena Text: writing and language | 1407 | 1404 | DeepSeek V3.2 Exp |
| LMArena Text: entertainment and media | 1407 | 1394 | DeepSeek V3.2 Exp |
| Neither model has a result on the other 16 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V3.2 Exp | Inkling | 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
DeepSeek V3.2 Exp costs less
Repository review
50K input + 3K output tokens
DeepSeek V3.2 Exp costs less
Agent loop
200K input + 10K output tokens
DeepSeek V3.2 Exp 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 V3.2 Exp | Thinking Machines Inkling |
|---|---|---|
| Maker | DeepSeek | Thinking Machines |
| Weights | Open weights | Open weights |
| Released | September 29, 2025 | July 17, 2026 |
| Context window | 164K | 524K |
| Input $/Mtok | $0.27 | $0.975 |
| Output $/Mtok | $0.41 | $4.05 |
| Coding index | Not benchmarked | 31.5 |
| Independent measurements behind it | 1 | 6 |
| Cost per solved task | Not computable | $0.76 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V3.2 Exp better than Inkling for coding?
Only Inkling has a coding score, 31.5 on the Vibe Coding Index; DeepSeek V3.2 Exp has none, so the two cannot be ranked on coding. Pick DeepSeek V3.2 Exp for output tokens 9.9x cheaper ($0.41 vs $4.05 per million) and work measured by WeirdML or LMArena Text: medicine and healthcare, where it leads.
Which is cheaper, DeepSeek V3.2 Exp or Inkling?
DeepSeek V3.2 Exp costs $0.27 per million input tokens and $0.41 per million output tokens; Inkling costs $0.975 and $4.05. Cost per solved task is known for Inkling only.
Which has the bigger context window, DeepSeek V3.2 Exp or Inkling?
Inkling, with 524K tokens against 164K.
How many benchmarks is the DeepSeek V3.2 Exp vs Inkling comparison based on?
45 benchmarks have a result for both models as of October 21, 2026. DeepSeek V3.2 Exp's coding index rests on 1 independent benchmark and Inkling's on 6. Where only one model has a result, the page says so instead of naming a winner.