DeepSeek V4 Flash 0731 vs Inkling
DeepSeek V4 Flash 0731 leads Inkling on coding, 51.8 to 31.5 on the Vibe Coding Index, and DeepSeek V4 Flash 0731 costs 14.5x less per output token ($0.28 vs $4.05 per million). Updated October 21, 2026; 52 benchmarks have a result for both.
DeepSeek V4 Flash 0731 or Inkling: which to pick
Pick DeepSeek V4 Flash 0731 for coding: it scores 51.8 on the Vibe Coding Index against 31.5 for Inkling, though on 4 benchmarks against 6.
Pick Inkling for work measured by MMLU Pro or LegalBench (Vals AI), where it leads.
- Shared results
- 52
- DeepSeek V4 Flash 0731 only
- 3
- Inkling only
- 50
- Like-for-like categories
- 8 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 Flash 0731
DeepSeek V4 Flash 0731 scores 51.8 against 31.5.
4 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 leads, 34.3 against 25.0.
Same board, both measured
Agentic work
AA Agentic Index
DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 leads, 41.0 against 22.5.
Same board, both measured
Reasoning
GPQA Diamond
DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 leads, 89.9% against 87.1%.
Same board, both measured
Knowledge
MMLU Pro
Inkling
Inkling leads, 86.3% against 86.2%.
Same board, both measured
Web design
Design Arena: websites
DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 leads, 1238 against 1224.
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
DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 takes 1.05M tokens against 524K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 $0.0003, Inkling $0.0030 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 $0.01, Inkling $0.76.
Published attempt cost and pass rate
At a glance
- Coding index
- DeepSeek V4 Flash 0731 51.8 from 4 benchmarks, Inkling 31.5 from 6 benchmarks.
- Widest category
- Math, 26.3 points apart on average over 4 shared benchmarks.
- Widest single gap
- ProofBench: DeepSeek V4 Flash 0731 56.0% against Inkling 0.0%, 56.0 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4 Flash 0731 $0.28 against Inkling $4.05 per million output tokens, 14.5x apart.
- Context window
- DeepSeek V4 Flash 0731 takes 1.05M 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 V4 Flash 0731 | Bars | Inkling | Ties |
|---|---|---|---|---|
| Coding | 14 | 0 | 1 tie | |
| Intelligence | 2 | 0 | ||
| Agentic work | 5 | 0 | ||
| Reasoning | 8 | 0 | ||
| Math | 4 | 0 | ||
| Knowledge | 1 | 5 | ||
| Web design | 8 | 0 | ||
| General | 3 | 1 | ||
| All shared boards | 45 | 6 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index140
| Benchmark | DeepSeek V4 Flash 0731 | Inkling | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 64.0% | Only Inkling measured |
| LMArena WebDev | Not measured | 1414 | Only Inkling measured |
| AA Coding Index | 69.1 | 52.1 | DeepSeek V4 Flash 0731 |
| LiveCodeBench (Vals AI) | 87.3% | 85.5% | DeepSeek V4 Flash 0731 |
| SWE-bench Verified (Vals AI) | 88.8% | 77.6% | DeepSeek V4 Flash 0731 |
| Terminal-Bench 4 (Vals AI) | 18.7% | 0.5% | DeepSeek V4 Flash 0731 |
| Vibe Code Bench (Vals AI) | 74.7% | 19.2% | DeepSeek V4 Flash 0731 |
| Code migration (Vals AI) | 38.6% | 11.8% | DeepSeek V4 Flash 0731 |
| ProgramBench (Vals AI) | 0.0% | 0.0% | Tie |
| IOI (Vals AI) | 32.7% | 14.9% | DeepSeek V4 Flash 0731 |
| Terminal-Bench 2.1 (Vals AI) | 67.0% | 47.6% | DeepSeek V4 Flash 0731 |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 7.3% | Only Inkling measured |
| SkillsBench (Vals AI) | 50.7% | 26.1% | DeepSeek V4 Flash 0731 |
| CyberBench (Vals AI) | 72.1% | 66.8% | DeepSeek V4 Flash 0731 |
| SciCode | 50.3% | 47.0% | DeepSeek V4 Flash 0731 |
| FrontierCode | 18.8% | 14.0% | DeepSeek V4 Flash 0731 |
| FrontierSWE | Not measured | 4.1% | Only Inkling measured |
| WeirdML | 63.0% | 32.3% | DeepSeek V4 Flash 0731 |
| ALE-Bench | 1306.1 | 946.0 | DeepSeek V4 Flash 0731 |
| LMArena Text: coding | Not measured | 1466 | Only Inkling measured |
| LMArena Text: software and IT | Not measured | 1465 | Only Inkling measured |
| LMArena WebDev: React | Not measured | 1404 | Only Inkling measured |
| LMArena WebDev: HTML | Not measured | 1399 | Only Inkling measured |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | DeepSeek V4 Flash 0731 | Inkling | Leader |
|---|---|---|---|
| AA Intelligence Index | 34.3 | 25.0 | DeepSeek V4 Flash 0731 |
| Epoch Capabilities Index | 154.8 | 148.4 | DeepSeek V4 Flash 0731 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | DeepSeek V4 Flash 0731 | Inkling | Leader |
|---|---|---|---|
| AA Agentic Index | 41.0 | 22.5 | DeepSeek V4 Flash 0731 |
| 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) | 49.5% | 46.6% | DeepSeek V4 Flash 0731 |
| Tax Agent Bench (Vals AI) | 28.1% | 15.3% | DeepSeek V4 Flash 0731 |
| Legal Research Bench (Vals AI) | 30.3% | 28.4% | DeepSeek V4 Flash 0731 |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 3.8% | Only Inkling measured |
| Excel Modeling Benchmark (Vals AI) | 57.0% | 38.4% | DeepSeek V4 Flash 0731 |
| BioMysteryBench (Vals AI) | 64.4% | Not measured | Only DeepSeek V4 Flash 0731 measured |
| Terminal-Bench-Science (Vals AI) | 4.3% | Not measured | Only DeepSeek V4 Flash 0731 measured |
| APEX-Agents | Not measured | 33.8% | Only Inkling measured |
| Neither model has a result on the other 25 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | DeepSeek V4 Flash 0731 | Inkling | Leader |
|---|---|---|---|
| GPQA Diamond | 89.9% | 87.1% | DeepSeek V4 Flash 0731 |
| 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) | 90.8% | 87.2% | DeepSeek V4 Flash 0731 |
| Humanity's Last Exam (Artificial Analysis run) | 38.6% | 31.9% | DeepSeek V4 Flash 0731 |
| GPQA Diamond (Epoch AI run) | 91.0% | 88.3% | DeepSeek V4 Flash 0731 |
| ARC-AGI | 89.0% | 79.5% | DeepSeek V4 Flash 0731 |
| ARC-AGI-2 | 61.4% | 36.5% | DeepSeek V4 Flash 0731 |
| SimpleBench | 61.1% | 50.0% | DeepSeek V4 Flash 0731 |
| Chess puzzles | 32.0% | 21.0% | DeepSeek V4 Flash 0731 |
| Mystery game puzzles | 34.0% | Not measured | Only DeepSeek V4 Flash 0731 measured |
| LMArena Text: hard prompts | Not measured | 1451 | Only Inkling measured |
| LMArena Text: expert | Not measured | 1466 | Only Inkling measured |
| LMArena Text: hard prompts in English | Not measured | 1448 | Only Inkling measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | DeepSeek V4 Flash 0731 | Inkling | Leader |
|---|---|---|---|
| OTIS Mock AIME | 94.4% | 88.9% | DeepSeek V4 Flash 0731 |
| FrontierMath, tiers 1 to 3 | 57.5% | 33.3% | DeepSeek V4 Flash 0731 |
| FrontierMath, tier 4 | 24.4% | 4.9% | DeepSeek V4 Flash 0731 |
| ProofBench | 56.0% | 0.0% | DeepSeek V4 Flash 0731 |
| LMArena Text: math | Not measured | 1479 | Only Inkling measured |
| LMArena Text: mathematical work | Not measured | 1460 | Only Inkling measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index15
| Benchmark | DeepSeek V4 Flash 0731 | Inkling | Leader |
|---|---|---|---|
| MMLU Pro | 86.2% | 86.3% | Inkling |
| LegalBench (Vals AI) | 77.7% | 83.0% | Inkling |
| CorpFin (Vals AI) | 61.9% | 68.6% | Inkling |
| TaxEval (Vals AI) | 70.7% | 75.3% | Inkling |
| MortgageTax (Vals AI) | Not measured | 64.0% | Only Inkling measured |
| MedCode (Vals AI) | 41.4% | 41.2% | DeepSeek V4 Flash 0731 |
| SimpleQA Verified | 33.6% | 40.3% | Inkling |
| LMArena Text: science | Not measured | 1455 | Only Inkling measured |
| LMArena Text: medicine and healthcare | Not measured | 1447 | Only Inkling measured |
| LMArena Text: legal and government | Not measured | 1448 | Only Inkling measured |
| LMArena Text: business and finance | Not measured | 1438 | Only Inkling measured |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | DeepSeek V4 Flash 0731 | Inkling | Leader |
|---|---|---|---|
| Design Arena: websites | 1238 | 1224 | DeepSeek V4 Flash 0731 |
| Design Arena: UI components | 1235 | 1201 | DeepSeek V4 Flash 0731 |
| Design Arena: game dev | 1208 | 1166 | DeepSeek V4 Flash 0731 |
| Design Arena: data viz | 1180 | 1159 | DeepSeek V4 Flash 0731 |
| Design Arena: 3D | 1209 | 1161 | DeepSeek V4 Flash 0731 |
| Design Arena: all code categories | 1230 | 1206 | DeepSeek V4 Flash 0731 |
| Design Arena: SVG | 1185 | 1110 | DeepSeek V4 Flash 0731 |
| Design Arena: ASCII art | 1090 | 1089 | DeepSeek V4 Flash 0731 |
| LiveBench design | Not measured | 58.3% | Only Inkling measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index31
| Benchmark | DeepSeek V4 Flash 0731 | 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) | 80.4% | 85.4% | Inkling |
| Vals Multimodal Index | Not measured | 49.4% | Only Inkling measured |
| Long context reasoning (AA-LCR) | 79.7% | 77.3% | DeepSeek V4 Flash 0731 |
| DTBench | 90.9% | 87.5% | DeepSeek V4 Flash 0731 |
| LMCA | 41.7% | 37.6% | DeepSeek V4 Flash 0731 |
| LMArena Text | Not measured | 1442 | Only Inkling measured |
| LMArena Text: instruction following | Not measured | 1425 | Only Inkling measured |
| LMArena Text: creative writing | Not measured | 1390 | Only Inkling measured |
| LMArena Text: English | Not measured | 1442 | Only Inkling measured |
| LMArena Text: non-English | Not measured | 1434 | Only Inkling measured |
| LMArena Text: Chinese | Not measured | 1493 | Only Inkling measured |
| LMArena Text: German | Not measured | 1445 | Only Inkling measured |
| LMArena Text: Japanese | Not measured | 1429 | Only Inkling measured |
| LMArena Text: Korean | Not measured | 1403 | Only Inkling measured |
| LMArena Text: French | Not measured | 1455 | Only Inkling measured |
| LMArena Text: Spanish | Not measured | 1449 | Only Inkling measured |
| LMArena Text: Russian | Not measured | 1430 | Only Inkling measured |
| LMArena Text: Polish | Not measured | 1450 | Only Inkling measured |
| LMArena Text: multi-turn | Not measured | 1437 | Only Inkling measured |
| LMArena Text: longer queries | Not measured | 1435 | Only Inkling measured |
| LMArena Text: writing and language | Not measured | 1404 | Only Inkling measured |
| LMArena Text: entertainment and media | Not measured | 1394 | Only Inkling measured |
| Neither model has a result on the other 20 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V4 Flash 0731 | 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 V4 Flash 0731 costs less
Repository review
50K input + 3K output tokens
DeepSeek V4 Flash 0731 costs less
Agent loop
200K input + 10K output tokens
DeepSeek V4 Flash 0731 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 Flash 0731 | Thinking Machines Inkling |
|---|---|---|
| Maker | DeepSeek | Thinking Machines |
| Weights | Open weights | Open weights |
| Released | July 31, 2026 | July 17, 2026 |
| Context window | 1.05M | 524K |
| Input $/Mtok | $0.14 | $0.975 |
| Output $/Mtok | $0.28 | $4.05 |
| Coding index | 51.8 | 31.5 |
| Independent measurements behind it | 4 | 6 |
| Cost per solved task | $0.01 | $0.76 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4 Flash 0731 better than Inkling for coding?
Pick DeepSeek V4 Flash 0731 for coding: it scores 51.8 on the Vibe Coding Index against 31.5 for Inkling, though on 4 benchmarks against 6. Pick Inkling for work measured by MMLU Pro or LegalBench (Vals AI), where it leads.
Which is cheaper, DeepSeek V4 Flash 0731 or Inkling?
DeepSeek V4 Flash 0731 costs $0.14 per million input tokens and $0.28 per million output tokens; Inkling costs $0.975 and $4.05. Per solved SWE-bench Verified task, DeepSeek V4 Flash 0731 costs $0.01 and Inkling $0.76.
Which has the bigger context window, DeepSeek V4 Flash 0731 or Inkling?
DeepSeek V4 Flash 0731, with 1.05M tokens against 524K.
How many benchmarks is the DeepSeek V4 Flash 0731 vs Inkling comparison based on?
52 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4 Flash 0731's coding index rests on 4 independent benchmarks and Inkling's on 6. Where only one model has a result, the page says so instead of naming a winner.