DeepSeek V4.1 Flash vs Kimi K3
DeepSeek V4.1 Flash leads Kimi K3 on coding, 62.5 to 62.3 on the Vibe Coding Index, and DeepSeek V4.1 Flash costs 19.2x less per output token ($0.78 vs $15.00 per million). Updated October 21, 2026; 88 benchmarks have a result for both.
DeepSeek V4.1 Flash or Kimi K3: which to pick
DeepSeek V4.1 Flash and Kimi K3 are level for coding, 62.5 against 62.3 on the Vibe Coding Index, so price and context decide.
Pick Kimi K3 for work measured by LMArena WebDev or Vibe Code Bench (Vals AI), where it leads. Pick DeepSeek V4.1 Flash for output tokens 19.2x cheaper ($0.78 vs $15.00 per million) and work measured by LiveBench coding or Terminal-Bench 4 (Vals AI), where it leads.
- Shared results
- 88
- DeepSeek V4.1 Flash only
- 13
- Kimi K3 only
- 29
- 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
No call
Level: 62.5 against 62.3, inside 2 points.
5 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
Kimi K3
Kimi K3 leads, 43.6 against 24.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Kimi K3 has a AA Agentic Index result, 50.0.
Directional only
Reasoning
GPQA Diamond
No call
Only Kimi K3 has a GPQA Diamond result, 92.9%.
Directional only
Knowledge
MMLU Pro
No call
Only Kimi K3 has a MMLU Pro result, 88.0%.
Directional only
Web design
Design Arena: websites
Kimi K3
Kimi K3 leads, 1335 against 1309.
Same board, both measured
General
Vals Index
No call
Only Kimi K3 has a Vals Index result, 53.0%.
Directional only
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash $0.0006, Kimi K3 $0.011 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Kimi K3 has the number, $0.81.
Directional only
At a glance
- Coding index
- DeepSeek V4.1 Flash 62.5 from 5 benchmarks, Kimi K3 62.3 from 6 benchmarks.
- Widest category
- Agentic work, 11.4 points apart on average over 10 shared benchmarks.
- Widest single gap
- LiveBench browser: DeepSeek V4.1 Flash 84.0% against Kimi K3 16.0%, 68.0 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4.1 Flash $0.78 against Kimi K3 $15.00 per million output tokens, 19.2x 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 V4.1 Flash | Bars | Kimi K3 | Ties |
|---|---|---|---|---|
| Coding | 5 | 14 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 3 | 7 | ||
| Reasoning | 3 | 6 | 1 tie | |
| Math | 1 | 5 | ||
| Knowledge | 0 | 7 | ||
| Web design | 1 | 7 | ||
| General | 1 | 24 | 1 tie | |
| All shared boards | 14 | 72 | 2 ties |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index514
| Benchmark | DeepSeek V4.1 Flash | Kimi K3 | Leader |
|---|---|---|---|
| LiveBench coding | 90.2% | 59.3% | DeepSeek V4.1 Flash |
| LMArena WebDev | 1618 | 1655 | Kimi K3 |
| AA Coding Index | Not measured | 76.2 | Only Kimi K3 measured |
| LiveCodeBench (Vals AI) | Not measured | 87.2% | Only Kimi K3 measured |
| SWE-bench Verified (Vals AI) | Not measured | 93.4% | Only Kimi K3 measured |
| Terminal-Bench 4 (Vals AI) | 19.7% | 17.2% | DeepSeek V4.1 Flash |
| Vibe Code Bench (Vals AI) | 84.7% | 85.0% | Kimi K3 |
| Code migration (Vals AI) | 45.6% | 16.1% | DeepSeek V4.1 Flash |
| ProgramBench (Vals AI) | 0.5% | 2.0% | Kimi K3 |
| IOI (Vals AI) | 40.3% | 48.9% | Kimi K3 |
| Terminal-Bench 2.1 (Vals AI) | 74.5% | 80.9% | Kimi K3 |
| SWE-bench Multimodal (Vals AI) | 46.5% | 44.2% | DeepSeek V4.1 Flash |
| Vibe Code Bench 1-100 (Vals AI) | 16.4% | 18.2% | Kimi K3 |
| SkillsBench (Vals AI) | 69.8% | Not measured | Only DeepSeek V4.1 Flash measured |
| CyberBench (Vals AI) | 73.7% | 75.2% | Kimi K3 |
| SciCode | 51.9% | 59.5% | Kimi K3 |
| FrontierCode | 43.9% | 44.2% | Kimi K3 |
| FrontierSWE | Not measured | 25.9% | Only Kimi K3 measured |
| WeirdML | Not measured | 82.6% | Only Kimi K3 measured |
| ALE-Bench | 1092.3 | 1524.5 | Kimi K3 |
| LMArena Text: coding | 1502 | 1508 | Kimi K3 |
| LMArena Text: software and IT | 1496 | 1499 | Kimi K3 |
| LMArena WebDev: React | 1628 | 1670 | Kimi K3 |
| LMArena WebDev: HTML | 1612 | 1644 | Kimi K3 |
| LMArena WebDev: from an image | 1606 | 1579 | DeepSeek V4.1 Flash |
| Neither model has a result on the other 14 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | DeepSeek V4.1 Flash | Kimi K3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 24.7 | 43.6 | Kimi K3 |
| Epoch Capabilities Index | 155.9 | 157.9 | Kimi K3 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index37
| Benchmark | DeepSeek V4.1 Flash | Kimi K3 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 50.0 | Only Kimi K3 measured |
| Design Arena: agents building web apps | Not measured | 1295 | Only Kimi K3 measured |
| Design Arena: agents building full-stack apps | Not measured | 1315 | Only Kimi K3 measured |
| Design Arena: agents building mobile apps | Not measured | 1269 | Only Kimi K3 measured |
| Design Arena: agents building Android apps | Not measured | 1250 | Only Kimi K3 measured |
| Design Arena: agents building Godot games | Not measured | 1223 | Only Kimi K3 measured |
| Design Arena: agents building games | Not measured | 1252 | Only Kimi K3 measured |
| Design Arena: HTML slides | Not measured | 1256 | Only Kimi K3 measured |
| Design Arena: PowerPoint slides | Not measured | 1273 | Only Kimi K3 measured |
| Design Arena: spreadsheets | Not measured | 1058 | Only Kimi K3 measured |
| LiveBench research | 86.8% | 79.0% | DeepSeek V4.1 Flash |
| LiveBench browser | 84.0% | 16.0% | DeepSeek V4.1 Flash |
| LiveBench long agentic | 40.1% | 42.8% | Kimi K3 |
| SREBench (Vals AI) | 0.8% | Not measured | Only DeepSeek V4.1 Flash measured |
| Finance Agent (Vals AI) | 53.5% | 53.1% | DeepSeek V4.1 Flash |
| Tax Agent Bench (Vals AI) | 26.6% | 33.4% | Kimi K3 |
| Legal Research Bench (Vals AI) | 41.4% | 46.1% | Kimi K3 |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 12.9% | Only Kimi K3 measured |
| Excel Modeling Benchmark (Vals AI) | 57.2% | 66.7% | Kimi K3 |
| BioMysteryBench (Vals AI) | 67.8% | 72.6% | Kimi K3 |
| Terminal-Bench-Science (Vals AI) | 0.0% | 1.4% | Kimi K3 |
| Vals Science Index | 29.6% | Not measured | Only DeepSeek V4.1 Flash measured |
| Time Horizon Index (Vals AI) | Not measured | 10.5% | Only Kimi K3 measured |
| APEX-Agents | 39.5% | 47.8% | Kimi K3 |
| PostTrainBench | Not measured | 32.0% | Only Kimi K3 measured |
| Vending-Bench 2 | Not measured | $5,165 | Only Kimi K3 measured |
| Neither model has a result on the other 15 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index36
| Benchmark | DeepSeek V4.1 Flash | Kimi K3 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 92.9% | Only Kimi K3 measured |
| LiveBench reasoning | 86.7% | 90.7% | Kimi K3 |
| MysteryMechanism (Vals AI) | 21.2% | Not measured | Only DeepSeek V4.1 Flash measured |
| MMMU Pro (Vals AI) | Not measured | 88.2% | Only Kimi K3 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 93.5% | Only Kimi K3 measured |
| Humanity's Last Exam (Artificial Analysis run) | 39.2% | 46.9% | Kimi K3 |
| GPQA Diamond (Epoch AI run) | 89.8% | 93.1% | Kimi K3 |
| ARC-AGI | 94.5% | 94.5% | Tie |
| ARC-AGI-2 | 72.9% | 60.4% | DeepSeek V4.1 Flash |
| SimpleBench | Not measured | 60.7% | Only Kimi K3 measured |
| Chess puzzles | 48.0% | 37.0% | DeepSeek V4.1 Flash |
| Mystery game puzzles | 43.0% | 26.0% | DeepSeek V4.1 Flash |
| LMArena Text: hard prompts | 1483 | 1495 | Kimi K3 |
| LMArena Text: expert | 1501 | 1520 | Kimi K3 |
| LMArena Text: hard prompts in English | 1488 | 1496 | Kimi K3 |
| LMArena Vision: diagrams | 1297 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: homework | 1307 | Not measured | Only DeepSeek V4.1 Flash measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index15
| Benchmark | DeepSeek V4.1 Flash | Kimi K3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.3% | 97.2% | DeepSeek V4.1 Flash |
| FrontierMath, tiers 1 to 3 | 67.4% | 72.2% | Kimi K3 |
| FrontierMath, tier 4 | 26.8% | 39.0% | Kimi K3 |
| ProofBench | 54.0% | 87.0% | Kimi K3 |
| LMArena Text: math | 1478 | 1494 | Kimi K3 |
| LMArena Text: mathematical work | 1485 | 1505 | Kimi K3 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | DeepSeek V4.1 Flash | Kimi K3 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 88.0% | Only Kimi K3 measured |
| LegalBench (Vals AI) | 83.3% | 86.2% | Kimi K3 |
| CorpFin (Vals AI) | Not measured | 71.6% | Only Kimi K3 measured |
| TaxEval (Vals AI) | Not measured | 75.7% | Only Kimi K3 measured |
| MortgageTax (Vals AI) | Not measured | 66.3% | Only Kimi K3 measured |
| MedCode (Vals AI) | 41.2% | 49.4% | Kimi K3 |
| SimpleQA Verified | 42.9% | 50.6% | Kimi K3 |
| LMArena Text: science | 1469 | 1508 | Kimi K3 |
| LMArena Text: medicine and healthcare | 1484 | 1489 | Kimi K3 |
| LMArena Text: legal and government | 1443 | 1503 | Kimi K3 |
| LMArena Text: business and finance | 1461 | 1470 | Kimi K3 |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index17
| Benchmark | DeepSeek V4.1 Flash | Kimi K3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1309 | 1335 | Kimi K3 |
| Design Arena: UI components | 1315 | 1344 | Kimi K3 |
| Design Arena: game dev | 1330 | 1359 | Kimi K3 |
| Design Arena: data viz | 1290 | 1351 | Kimi K3 |
| Design Arena: 3D | 1356 | 1388 | Kimi K3 |
| Design Arena: all code categories | 1320 | 1360 | Kimi K3 |
| Design Arena: SVG | 1244 | 1302 | Kimi K3 |
| Design Arena: ASCII art | 1265 | Not measured | Only DeepSeek V4.1 Flash measured |
| LiveBench design | 79.2% | 77.2% | DeepSeek V4.1 Flash |
GeneralLike-for-likePublic boards, shown as published, kept out of the index124
| Benchmark | DeepSeek V4.1 Flash | Kimi K3 | Leader |
|---|---|---|---|
| Vals Index | Not measured | 53.0% | Only Kimi K3 measured |
| LiveBench data analysis | 79.3% | 78.7% | DeepSeek V4.1 Flash |
| Public Benefits Bench (Vals AI) | 64.3% | 68.2% | Kimi K3 |
| SAGE (Vals AI) | 47.9% | 52.8% | Kimi K3 |
| MedScribe (Vals AI) | 85.5% | 88.0% | Kimi K3 |
| Vals Multimodal Index | Not measured | 73.4% | Only Kimi K3 measured |
| Long context reasoning (AA-LCR) | 84.0% | 88.7% | Kimi K3 |
| DTBench | 89.9% | 91.2% | Kimi K3 |
| LMCA | 47.0% | 52.7% | Kimi K3 |
| Surface Evolver Bench | 46.3% | 95.0% | Kimi K3 |
| Furniture assembly | 34.2% | 34.2% | Tie |
| LMArena Text | 1464 | 1476 | Kimi K3 |
| LMArena Text: instruction following | 1473 | 1485 | Kimi K3 |
| LMArena Text: creative writing | 1437 | 1457 | Kimi K3 |
| LMArena Vision | 1278 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: English | 1473 | 1481 | Kimi K3 |
| LMArena Text: non-English | 1449 | 1466 | Kimi K3 |
| LMArena Text: Chinese | 1501 | 1529 | Kimi K3 |
| LMArena Text: German | 1470 | 1490 | Kimi K3 |
| LMArena Text: Japanese | 1432 | 1494 | Kimi K3 |
| LMArena Text: Korean | 1436 | 1460 | Kimi K3 |
| LMArena Text: French | 1465 | 1492 | Kimi K3 |
| LMArena Text: Spanish | 1459 | 1472 | Kimi K3 |
| LMArena Text: Russian | 1467 | 1485 | Kimi K3 |
| LMArena Text: Polish | 1457 | 1458 | Kimi K3 |
| LMArena Text: multi-turn | 1461 | 1489 | Kimi K3 |
| LMArena Text: longer queries | 1473 | 1494 | Kimi K3 |
| LMArena Text: writing and language | 1450 | 1471 | Kimi K3 |
| LMArena Text: entertainment and media | 1445 | 1453 | Kimi K3 |
| LMArena Vision: English | 1288 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: Chinese | 1327 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: reading text | 1282 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: humor | 1260 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: creative writing | 1275 | Not measured | Only DeepSeek V4.1 Flash measured |
| Neither model has a result on the other 12 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V4.1 Flash | Kimi K3 | 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 V4.1 Flash costs less
Repository review
50K input + 3K output tokens
DeepSeek V4.1 Flash costs less
Agent loop
200K input + 10K output tokens
DeepSeek V4.1 Flash 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 V4.1 Flash | MoonshotAI Kimi K3 |
|---|---|---|
| Maker | DeepSeek | Moonshot AI |
| Weights | Open weights | Open weights |
| Released | September 10, 2026 | July 16, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.21 | $3.00 |
| Output $/Mtok | $0.78 | $15.00 |
| Coding index | 62.5 | 62.3 |
| Independent measurements behind it | 5 | 6 |
| Cost per solved task | Not computable | $0.81 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4.1 Flash better than Kimi K3 for coding?
DeepSeek V4.1 Flash and Kimi K3 are level for coding, 62.5 against 62.3 on the Vibe Coding Index, so price and context decide. Pick Kimi K3 for work measured by LMArena WebDev or Vibe Code Bench (Vals AI), where it leads. Pick DeepSeek V4.1 Flash for output tokens 19.2x cheaper ($0.78 vs $15.00 per million) and work measured by LiveBench coding or Terminal-Bench 4 (Vals AI), where it leads.
Which is cheaper, DeepSeek V4.1 Flash or Kimi K3?
DeepSeek V4.1 Flash costs $0.21 per million input tokens and $0.78 per million output tokens; Kimi K3 costs $3.00 and $15.00. Cost per solved task is known for Kimi K3 only.
Which has the bigger context window, DeepSeek V4.1 Flash or Kimi K3?
Neither: both take 1.05M tokens.
How many benchmarks is the DeepSeek V4.1 Flash vs Kimi K3 comparison based on?
88 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4.1 Flash's coding index rests on 5 independent benchmarks and Kimi K3's on 6. Where only one model has a result, the page says so instead of naming a winner.