DeepSeek V4.1 Flash vs Kimi K3.1 Pro
Kimi K3.1 Pro leads DeepSeek V4.1 Flash on coding, 82.2 to 56.6 on the Vibe Coding Index, and DeepSeek V4.1 Flash costs 11.0x less per output token ($0.9085 vs $10.00 per million). Updated October 29, 2026; 25 benchmarks have a result for both.
DeepSeek V4.1 Flash or Kimi K3.1 Pro: which to pick
Pick Kimi K3.1 Pro for coding: it scores 82.2 on the Vibe Coding Index against 56.6 for DeepSeek V4.1 Flash.
Pick DeepSeek V4.1 Flash for output tokens 11.0x cheaper ($0.9085 vs $10.00 per million) and work measured by Tax Agent Bench (Vals AI) or Legal Research Bench (Vals AI), where it leads.
- Shared results
- 25
- DeepSeek V4.1 Flash only
- 69
- Kimi K3.1 Pro only
- 10
- 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
Kimi K3.1 Pro
Kimi K3.1 Pro scores 82.2 against 56.6.
4 benchmarks behind each score
Intelligence
AA Intelligence Index
No call
Only Kimi K3.1 Pro has a AA Intelligence Index result, 46.0.
Directional only
Web design
Design Arena: websites
Kimi K3.1 Pro
Kimi K3.1 Pro leads, 1325 against 1308.
Same board, both measured
General
Vals Index
No call
Only Kimi K3.1 Pro has a Vals Index result, 62.5%.
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 $0.0007, Kimi K3.1 Pro $0.0070 per turn.
List prices
At a glance
- Coding index
- DeepSeek V4.1 Flash 56.6 from 4 benchmarks, Kimi K3.1 Pro 82.2 from 4 benchmarks.
- Widest category
- Math, 27.1 points apart on average over 2 shared benchmarks.
- Widest single gap
- Terminal-Bench 4 (Vals AI): DeepSeek V4.1 Flash 19.7% against Kimi K3.1 Pro 63.6%, 58.6 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4.1 Flash $0.9085 against Kimi K3.1 Pro $10.00 per million output tokens, 11.0x 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 V4.1 Flash | Bars | Kimi K3.1 Pro | Ties |
|---|---|---|---|---|
| Coding | 0 | 8 | ||
| Agentic work | 2 | 3 | ||
| Reasoning | 0 | 2 | ||
| Math | 0 | 2 | ||
| Web design | 0 | 7 | ||
| General | 0 | 1 | ||
| All shared boards | 2 | 23 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index08
| Benchmark | DeepSeek V4.1 Flash | Kimi K3.1 Pro | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 81.8% | Only Kimi K3.1 Pro measured |
| LMArena WebDev | 1619 | 1695 | Kimi K3.1 Pro |
| Terminal-Bench 4 (Vals AI) | 19.7% | 63.6% | Kimi K3.1 Pro |
| Vibe Code Bench (Vals AI) | 84.7% | 84.9% | Kimi K3.1 Pro |
| Code migration (Vals AI) | 45.6% | Not measured | Only DeepSeek V4.1 Flash measured |
| ProgramBench (Vals AI) | 0.5% | Not measured | Only DeepSeek V4.1 Flash measured |
| IOI (Vals AI) | 40.3% | 81.9% | Kimi K3.1 Pro |
| Terminal-Bench 2.1 (Vals AI) | 74.5% | Not measured | Only DeepSeek V4.1 Flash measured |
| SWE-bench Multimodal (Vals AI) | 46.5% | Not measured | Only DeepSeek V4.1 Flash measured |
| Vibe Code Bench 1-100 (Vals AI) | 16.4% | Not measured | Only DeepSeek V4.1 Flash measured |
| SkillsBench (Vals AI) | 69.8% | Not measured | Only DeepSeek V4.1 Flash measured |
| CyberBench (Vals AI) | 73.7% | Not measured | Only DeepSeek V4.1 Flash measured |
| SciCode | 51.9% | 60.8% | Kimi K3.1 Pro |
| FrontierCode | 43.9% | Not measured | Only DeepSeek V4.1 Flash measured |
| ALE-Bench | 1092.3 | 1932.8 | Kimi K3.1 Pro |
| LMArena Text: coding | 1501 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: software and IT | 1496 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena WebDev: React | 1629 | 1701 | Kimi K3.1 Pro |
| LMArena WebDev: HTML | 1613 | 1706 | Kimi K3.1 Pro |
| LMArena WebDev: from an image | 1606 | Not measured | Only DeepSeek V4.1 Flash measured |
| Neither model has a result on the other 23 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | DeepSeek V4.1 Flash | Kimi K3.1 Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 46.0 | Only Kimi K3.1 Pro measured |
| Epoch Capabilities Index | 155.9 | Not measured | Only DeepSeek V4.1 Flash measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index23
| Benchmark | DeepSeek V4.1 Flash | Kimi K3.1 Pro | Leader |
|---|---|---|---|
| LiveBench research | Not measured | 77.9% | Only Kimi K3.1 Pro measured |
| LiveBench browser | Not measured | 75.9% | Only Kimi K3.1 Pro measured |
| LiveBench long agentic | Not measured | 39.1% | Only Kimi K3.1 Pro measured |
| SREBench (Vals AI) | 0.8% | Not measured | Only DeepSeek V4.1 Flash measured |
| Finance Agent (Vals AI) | 53.5% | Not measured | Only DeepSeek V4.1 Flash measured |
| Tax Agent Bench (Vals AI) | 26.6% | 24.9% | DeepSeek V4.1 Flash |
| Legal Research Bench (Vals AI) | 41.4% | 37.5% | DeepSeek V4.1 Flash |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 11.7% | Only Kimi K3.1 Pro measured |
| Excel Modeling Benchmark (Vals AI) | 57.2% | Not measured | Only DeepSeek V4.1 Flash measured |
| BioMysteryBench (Vals AI) | 67.8% | 75.6% | Kimi K3.1 Pro |
| Terminal-Bench-Science (Vals AI) | 0.0% | 31.4% | Kimi K3.1 Pro |
| Vals Science Index | 29.6% | 44.4% | Kimi K3.1 Pro |
| APEX-Agents | 39.5% | Not measured | Only DeepSeek V4.1 Flash measured |
| Neither model has a result on the other 29 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | DeepSeek V4.1 Flash | Kimi K3.1 Pro | Leader |
|---|---|---|---|
| LiveBench reasoning | Not measured | 91.1% | Only Kimi K3.1 Pro measured |
| MysteryMechanism (Vals AI) | 21.2% | 26.1% | Kimi K3.1 Pro |
| Humanity's Last Exam (Artificial Analysis run) | 39.2% | 52.5% | Kimi K3.1 Pro |
| GPQA Diamond (Epoch AI run) | 89.8% | Not measured | Only DeepSeek V4.1 Flash measured |
| ARC-AGI | 94.5% | Not measured | Only DeepSeek V4.1 Flash measured |
| ARC-AGI-2 | 72.9% | Not measured | Only DeepSeek V4.1 Flash measured |
| Chess puzzles | 48.0% | Not measured | Only DeepSeek V4.1 Flash measured |
| Mystery game puzzles | 43.0% | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: hard prompts | 1483 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: expert | 1502 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: hard prompts in English | 1488 | Not measured | Only DeepSeek V4.1 Flash measured |
| 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 10 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | DeepSeek V4.1 Flash | Kimi K3.1 Pro | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.3% | Not measured | Only DeepSeek V4.1 Flash measured |
| FrontierMath, tiers 1 to 3 | 67.4% | Not measured | Only DeepSeek V4.1 Flash measured |
| FrontierMath, tier 4 | 26.8% | Not measured | Only DeepSeek V4.1 Flash measured |
| ProofBench | 54.0% | 91.0% | Kimi K3.1 Pro |
| LMArena Text: math | 1481 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: mathematical work | 1484 | Not measured | Only DeepSeek V4.1 Flash measured |
| MathArena | 42.3% | 59.6% | Kimi K3.1 Pro |
| Neither model has a result on the other 7 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | DeepSeek V4.1 Flash | Kimi K3.1 Pro | Leader |
|---|---|---|---|
| LegalBench (Vals AI) | 83.3% | Not measured | Only DeepSeek V4.1 Flash measured |
| MedCode (Vals AI) | 41.2% | Not measured | Only DeepSeek V4.1 Flash measured |
| SimpleQA Verified | 42.9% | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: science | 1471 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: medicine and healthcare | 1486 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: legal and government | 1446 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: business and finance | 1462 | Not measured | Only DeepSeek V4.1 Flash measured |
| Neither model has a result on the other 13 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | DeepSeek V4.1 Flash | Kimi K3.1 Pro | Leader |
|---|---|---|---|
| Design Arena: websites | 1308 | 1325 | Kimi K3.1 Pro |
| Design Arena: UI components | 1309 | 1400 | Kimi K3.1 Pro |
| Design Arena: game dev | 1330 | 1410 | Kimi K3.1 Pro |
| Design Arena: data viz | 1292 | 1300 | Kimi K3.1 Pro |
| Design Arena: 3D | 1354 | 1451 | Kimi K3.1 Pro |
| Design Arena: all code categories | 1318 | 1354 | Kimi K3.1 Pro |
| Design Arena: SVG | 1242 | 1328 | Kimi K3.1 Pro |
| Design Arena: ASCII art | 1265 | Not measured | Only DeepSeek V4.1 Flash measured |
| LiveBench design | Not measured | 77.8% | Only Kimi K3.1 Pro measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V4.1 Flash | Kimi K3.1 Pro | Leader |
|---|---|---|---|
| Vals Index | Not measured | 62.5% | Only Kimi K3.1 Pro measured |
| LiveBench data analysis | Not measured | 79.1% | Only Kimi K3.1 Pro measured |
| Public Benefits Bench (Vals AI) | 64.3% | Not measured | Only DeepSeek V4.1 Flash measured |
| SAGE (Vals AI) | 85.4% | Not measured | Only DeepSeek V4.1 Flash measured |
| MedScribe (Vals AI) | 85.5% | Not measured | Only DeepSeek V4.1 Flash measured |
| Long context reasoning (AA-LCR) | 84.0% | 86.3% | Kimi K3.1 Pro |
| DTBench | 89.9% | Not measured | Only DeepSeek V4.1 Flash measured |
| LMCA | 47.0% | Not measured | Only DeepSeek V4.1 Flash measured |
| Surface Evolver Bench | 46.3% | Not measured | Only DeepSeek V4.1 Flash measured |
| Furniture assembly | 34.2% | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text | 1465 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: instruction following | 1474 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: creative writing | 1437 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Vision | 1278 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: English | 1475 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: non-English | 1450 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: Chinese | 1502 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: German | 1466 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: Japanese | 1428 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: Korean | 1432 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: French | 1467 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: Spanish | 1458 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: Russian | 1467 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: Polish | 1458 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: multi-turn | 1460 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: longer queries | 1474 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: writing and language | 1451 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: entertainment and media | 1445 | Not measured | Only DeepSeek V4.1 Flash measured |
| 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 15 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V4.1 Flash | Kimi K3.1 Pro | 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 K3.1 Pro |
|---|---|---|
| Maker | DeepSeek | Moonshot AI |
| Weights | Open weights | No public weights listed |
| Released | September 10, 2026 | October 23, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.21 | $2.00 |
| Output $/Mtok | $0.9085 | $10.00 |
| Coding index | 56.6 | 82.2 |
| Independent measurements behind it | 4 | 4 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4.1 Flash better than Kimi K3.1 Pro for coding?
Pick Kimi K3.1 Pro for coding: it scores 82.2 on the Vibe Coding Index against 56.6 for DeepSeek V4.1 Flash. Pick DeepSeek V4.1 Flash for output tokens 11.0x cheaper ($0.9085 vs $10.00 per million) and work measured by Tax Agent Bench (Vals AI) or Legal Research Bench (Vals AI), where it leads.
Which is cheaper, DeepSeek V4.1 Flash or Kimi K3.1 Pro?
DeepSeek V4.1 Flash costs $0.21 per million input tokens and $0.9085 per million output tokens; Kimi K3.1 Pro costs $2.00 and $10.00. Cost per solved task is known for neither of them.
Which has the bigger context window, DeepSeek V4.1 Flash or Kimi K3.1 Pro?
Neither: both take 1.05M tokens.
How many benchmarks is the DeepSeek V4.1 Flash vs Kimi K3.1 Pro comparison based on?
25 benchmarks have a result for both models as of October 29, 2026. DeepSeek V4.1 Flash's coding index rests on 4 independent benchmarks and Kimi K3.1 Pro's on 4. Where only one model has a result, the page says so instead of naming a winner.