DeepSeek V4 Pro 0813 vs Kimi K3
Updated October 21, 2026. 76 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Kimi K3 for coding: it scores 61.8 on the Vibe Coding Index against 54.6 for DeepSeek V4 Pro 0813.
Pick DeepSeek V4 Pro 0813 when output tokens cost 6.0x less, or when a solved task costs $0.10 against $0.81.
- Shared results
- 76
- DeepSeek V4 Pro 0813 only
- 2
- Kimi K3 only
- 41
- Like-for-like categories
- 7 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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, four public coding benchmarks
Kimi K3
Kimi K3 scores 61.8 against 54.6.
1 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
Kimi K3
Kimi K3 leads, 43.6 against 36.0.
Same board, both measured
Agentic work
AA Agentic Index
Kimi K3
Kimi K3 leads, 50.0 against 41.3.
Same board, both measured
Reasoning
GPQA Diamond
Kimi K3
Kimi K3 leads, 92.9% against 92.4%.
Same board, both measured
Knowledge
MMLU Pro
Kimi K3
Kimi K3 leads, 88.0% against 87.0%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Kimi K3 has a Design Arena: websites result, 1336.
Directional only
General
Vals Index
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 leads, 53.0% 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
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 $0.0016, Kimi K3 $0.0062 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 $0.10, Kimi K3 $0.81.
Published attempt cost and pass rate
At a glance
- Coding index
- DeepSeek V4 Pro 0813 54.6 from 1 benchmark, Kimi K3 61.8 from 2 benchmarks.
- Widest category
- Math, 12.9 points apart on average over 6 shared benchmarks.
- Widest single gap
- ProofBench: DeepSeek V4 Pro 0813 50.0% against Kimi K3 87.0%, 37.0 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4 Pro 0813 $1.98 against Kimi K3 $11.936 per million output tokens, 6.0x 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 | Kimi K3 | Ties |
|---|---|---|---|---|
| Coding | 4 | 16 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 1 | 7 | ||
| Reasoning | 3 | 8 | ||
| Math | 1 | 5 | ||
| Knowledge | 1 | 9 | ||
| General | 2 | 17 | ||
| All shared boards | 12 | 64 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index416
| Benchmark | DeepSeek V4 Pro 0813 | Kimi K3 | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 59.3% | Only Kimi K3 measured |
| LMArena WebDev | 1582 | 1655 | Kimi K3 |
| AA Coding Index | 68.8 | 76.2 | Kimi K3 |
| LiveCodeBench (Vals AI) | 87.5% | 87.2% | DeepSeek V4 Pro 0813 |
| SWE-bench Verified (Vals AI) | 96.4% | 93.4% | DeepSeek V4 Pro 0813 |
| Terminal-Bench 4 (Vals AI) | 14.1% | 17.2% | Kimi K3 |
| Vibe Code Bench (Vals AI) | 82.3% | 85.0% | Kimi K3 |
| Code migration (Vals AI) | 41.5% | 16.1% | DeepSeek V4 Pro 0813 |
| ProgramBench (Vals AI) | 0.0% | 2.0% | Kimi K3 |
| IOI (Vals AI) | 51.6% | 48.9% | DeepSeek V4 Pro 0813 |
| Terminal-Bench 2.1 (Vals AI) | 54.7% | 80.9% | Kimi K3 |
| SWE-bench Multimodal (Vals AI) | Not measured | 44.2% | Only Kimi K3 measured |
| Vibe Code Bench 1-100 (Vals AI) | 17.5% | 18.2% | Kimi K3 |
| SkillsBench (Vals AI) | 53.8% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| CyberBench (Vals AI) | 72.9% | 75.2% | Kimi K3 |
| SciCode | 51.0% | 59.5% | Kimi K3 |
| FrontierCode | 28.5% | 44.2% | Kimi K3 |
| FrontierSWE | Not measured | 25.9% | Only Kimi K3 measured |
| WeirdML | 66.2% | 82.6% | Kimi K3 |
| ALE-Bench | 1403.2 | 1524.5 | Kimi K3 |
| LMArena Text: coding | 1469 | 1508 | Kimi K3 |
| LMArena Text: software and IT | 1462 | 1499 | Kimi K3 |
| LMArena WebDev: React | 1588 | 1670 | Kimi K3 |
| LMArena WebDev: HTML | 1566 | 1644 | Kimi K3 |
| LMArena WebDev: from an image | Not measured | 1579 | Only Kimi K3 measured |
| 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 V4 Pro 0813 | Kimi K3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 36.0 | 43.6 | Kimi K3 |
| Epoch Capabilities Index | 155.6 | 157.9 | Kimi K3 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index17
| Benchmark | DeepSeek V4 Pro 0813 | Kimi K3 | Leader |
|---|---|---|---|
| AA Agentic Index | 41.3 | 50.0 | Kimi K3 |
| Design Arena: agents building web apps | Not measured | 1296 | 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 | 1267 | Only Kimi K3 measured |
| Design Arena: agents building Android apps | Not measured | 1256 | 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 | Not measured | 79.0% | Only Kimi K3 measured |
| LiveBench browser | Not measured | 16.0% | Only Kimi K3 measured |
| LiveBench long agentic | Not measured | 42.8% | Only Kimi K3 measured |
| SREBench (Vals AI) | 1.9% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Finance Agent (Vals AI) | 50.4% | 53.1% | Kimi K3 |
| Tax Agent Bench (Vals AI) | 26.8% | 33.4% | Kimi K3 |
| Legal Research Bench (Vals AI) | 40.9% | 46.1% | Kimi K3 |
| Harvey's Legal Agent Benchmark (Vals AI) | 10.8% | 12.9% | Kimi K3 |
| Excel Modeling Benchmark (Vals AI) | 52.8% | 66.7% | Kimi K3 |
| BioMysteryBench (Vals AI) | Not measured | 72.6% | Only Kimi K3 measured |
| Terminal-Bench-Science (Vals AI) | 4.3% | 1.4% | DeepSeek V4 Pro 0813 |
| Time Horizon Index (Vals AI) | Not measured | 10.5% | Only Kimi K3 measured |
| APEX-Agents | 47.3% | 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 14 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index38
| Benchmark | DeepSeek V4 Pro 0813 | Kimi K3 | Leader |
|---|---|---|---|
| GPQA Diamond | 92.4% | 92.9% | Kimi K3 |
| LiveBench reasoning | Not measured | 90.7% | Only Kimi K3 measured |
| MMMU Pro (Vals AI) | Not measured | 88.2% | Only Kimi K3 measured |
| GPQA Diamond (Artificial Analysis run) | 92.8% | 93.5% | Kimi K3 |
| Humanity's Last Exam (Artificial Analysis run) | 41.0% | 46.9% | Kimi K3 |
| GPQA Diamond (Epoch AI run) | 91.7% | 93.1% | Kimi K3 |
| ARC-AGI | 90.5% | 94.5% | Kimi K3 |
| ARC-AGI-2 | 61.3% | 60.4% | DeepSeek V4 Pro 0813 |
| SimpleBench | Not measured | 60.7% | Only Kimi K3 measured |
| Chess puzzles | 46.0% | 37.0% | DeepSeek V4 Pro 0813 |
| Mystery game puzzles | 43.0% | 26.0% | DeepSeek V4 Pro 0813 |
| LMArena Text: hard prompts | 1458 | 1495 | Kimi K3 |
| LMArena Text: expert | 1459 | 1520 | Kimi K3 |
| LMArena Text: hard prompts in English | 1463 | 1496 | Kimi K3 |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index15
| Benchmark | DeepSeek V4 Pro 0813 | Kimi K3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.6% | 97.2% | DeepSeek V4 Pro 0813 |
| FrontierMath, tiers 1 to 3 | 64.6% | 72.2% | Kimi K3 |
| FrontierMath, tier 4 | 26.8% | 39.0% | Kimi K3 |
| ProofBench | 50.0% | 87.0% | Kimi K3 |
| LMArena Text: math | 1441 | 1494 | Kimi K3 |
| LMArena Text: mathematical work | 1443 | 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 index19
| Benchmark | DeepSeek V4 Pro 0813 | Kimi K3 | Leader |
|---|---|---|---|
| MMLU Pro | 87.0% | 88.0% | Kimi K3 |
| LegalBench (Vals AI) | 82.4% | 86.2% | Kimi K3 |
| CorpFin (Vals AI) | 65.4% | 71.6% | Kimi K3 |
| TaxEval (Vals AI) | 73.1% | 75.7% | Kimi K3 |
| MortgageTax (Vals AI) | Not measured | 66.3% | Only Kimi K3 measured |
| MedCode (Vals AI) | 42.5% | 49.4% | Kimi K3 |
| SimpleQA Verified | 52.9% | 50.6% | DeepSeek V4 Pro 0813 |
| LMArena Text: science | 1457 | 1508 | Kimi K3 |
| LMArena Text: medicine and healthcare | 1446 | 1489 | Kimi K3 |
| LMArena Text: legal and government | 1459 | 1503 | Kimi K3 |
| LMArena Text: business and finance | 1442 | 1470 | Kimi K3 |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | DeepSeek V4 Pro 0813 | Kimi K3 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1336 | Only Kimi K3 measured |
| Design Arena: UI components | Not measured | 1345 | Only Kimi K3 measured |
| Design Arena: game dev | Not measured | 1361 | Only Kimi K3 measured |
| Design Arena: data viz | Not measured | 1350 | Only Kimi K3 measured |
| Design Arena: 3D | Not measured | 1388 | Only Kimi K3 measured |
| Design Arena: all code categories | Not measured | 1361 | Only Kimi K3 measured |
| Design Arena: SVG | Not measured | 1301 | Only Kimi K3 measured |
| LiveBench design | Not measured | 77.2% | Only Kimi K3 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index217
| Benchmark | DeepSeek V4 Pro 0813 | Kimi K3 | Leader |
|---|---|---|---|
| Vals Index | 53.0% | 53.0% | DeepSeek V4 Pro 0813 |
| LiveBench data analysis | Not measured | 78.7% | Only Kimi K3 measured |
| Public Benefits Bench (Vals AI) | Not measured | 68.2% | Only Kimi K3 measured |
| SAGE (Vals AI) | Not measured | 52.8% | Only Kimi K3 measured |
| MedScribe (Vals AI) | 80.2% | 88.0% | Kimi K3 |
| Vals Multimodal Index | Not measured | 73.4% | Only Kimi K3 measured |
| Long context reasoning (AA-LCR) | 80.3% | 88.7% | Kimi K3 |
| DTBench | 93.9% | 91.2% | DeepSeek V4 Pro 0813 |
| LMCA | 45.5% | 52.7% | Kimi K3 |
| Surface Evolver Bench | Not measured | 95.0% | Only Kimi K3 measured |
| Furniture assembly | Not measured | 34.2% | Only Kimi K3 measured |
| LMArena Text | 1446 | 1476 | Kimi K3 |
| LMArena Text: instruction following | 1448 | 1485 | Kimi K3 |
| LMArena Text: creative writing | 1439 | 1457 | Kimi K3 |
| LMArena Text: English | 1457 | 1481 | Kimi K3 |
| LMArena Text: non-English | 1431 | 1466 | Kimi K3 |
| LMArena Text: Chinese | 1481 | 1529 | Kimi K3 |
| LMArena Text: German | Not measured | 1490 | Only Kimi K3 measured |
| LMArena Text: Japanese | Not measured | 1494 | Only Kimi K3 measured |
| LMArena Text: Korean | 1449 | 1460 | Kimi K3 |
| LMArena Text: French | 1446 | 1492 | Kimi K3 |
| LMArena Text: Spanish | 1435 | 1472 | Kimi K3 |
| LMArena Text: Russian | 1448 | 1485 | Kimi K3 |
| LMArena Text: Polish | Not measured | 1458 | Only Kimi K3 measured |
| LMArena Text: multi-turn | 1454 | 1489 | Kimi K3 |
| LMArena Text: longer queries | 1458 | 1494 | Kimi K3 |
| LMArena Text: writing and language | 1443 | 1471 | Kimi K3 |
| LMArena Text: entertainment and media | 1424 | 1453 | Kimi K3 |
| Neither model has a result on the other 18 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V4 Pro 0813 | 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 Pro 0813 costs less
Repository review
50K input + 3K output tokens
DeepSeek V4 Pro 0813 costs less
Agent loop
200K input + 10K output tokens
DeepSeek V4 Pro 0813 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 | MoonshotAI Kimi K3 |
|---|---|---|
| Maker | DeepSeek | Moonshot AI |
| Weights | Open weights | Open weights |
| Released | August 12, 2026 | July 16, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.66 | $0.239 |
| Output $/Mtok | $1.98 | $11.936 |
| Coding index | 54.6 | 61.8 |
| Independent measurements behind it | 1 | 2 |
| Cost per solved task | $0.10 | $0.81 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4 Pro 0813 better than Kimi K3 for coding?
Pick Kimi K3 for coding: it scores 61.8 on the Vibe Coding Index against 54.6 for DeepSeek V4 Pro 0813. Pick DeepSeek V4 Pro 0813 when output tokens cost 6.0x less, or when a solved task costs $0.10 against $0.81.
Which is cheaper, DeepSeek V4 Pro 0813 or Kimi K3?
DeepSeek V4 Pro 0813 costs $0.66 per million input tokens and $1.98 per million output tokens; Kimi K3 costs $0.239 and $11.936. Per solved SWE-bench Verified task, DeepSeek V4 Pro 0813 costs $0.10 and Kimi K3 $0.81.
Which has the bigger context window, DeepSeek V4 Pro 0813 or Kimi K3?
Neither: both take 1.05M tokens.
How many benchmarks is the DeepSeek V4 Pro 0813 vs Kimi K3 comparison based on?
76 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4 Pro 0813's coding index rests on 1 independent benchmark and Kimi K3's on 2. Where only one model has a result, the page says so instead of naming a winner.