DeepSeek V4 Flash Vision Exp vs Kimi K2.6
Updated October 21, 2026. 7 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 K2.6 for coding: it scores 44.2 on the Vibe Coding Index against 37.6 for DeepSeek V4 Flash Vision Exp.
Pick DeepSeek V4 Flash Vision Exp when output tokens cost 5.3x less, or when the context window is larger, 1.05M against 262K tokens.
- Shared results
- 7
- DeepSeek V4 Flash Vision Exp only
- 7
- Kimi K2.6 only
- 102
- Like-for-like categories
- 5 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 K2.6
Kimi K2.6 scores 44.2 against 37.6.
One benchmark behind each score
Intelligence
AA Intelligence Index
DeepSeek V4 Flash Vision Exp
DeepSeek V4 Flash Vision Exp leads, 34.8 against 27.0.
Same board, both measured
Agentic work
AA Agentic Index
DeepSeek V4 Flash Vision Exp
DeepSeek V4 Flash Vision Exp leads, 47.5 against 20.5.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Kimi K2.6 has a GPQA Diamond result, 89.1%.
Directional only
Knowledge
MMLU Pro
No call
Only Kimi K2.6 has a MMLU Pro result, 87.6%.
Directional only
Web design
Design Arena: websites
No call
Only Kimi K2.6 has a Design Arena: websites result, 1269.
Directional only
Long documents
Listed context window
DeepSeek V4 Flash Vision Exp
DeepSeek V4 Flash Vision Exp takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4 Flash Vision Exp
DeepSeek V4 Flash Vision Exp $0.0005, Kimi K2.6 $0.0024 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Kimi K2.6 has the number, $0.35.
Directional only
At a glance
- Coding index
- DeepSeek V4 Flash Vision Exp 37.6 from 1 benchmark, Kimi K2.6 44.2 from 1 benchmark.
- Widest category
- Agentic work, 27.0 points apart on average over 1 shared benchmark.
- Widest single gap
- AA Agentic Index: DeepSeek V4 Flash Vision Exp 47.5 against Kimi K2.6 20.5, 27.0 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4 Flash Vision Exp $0.6468 against Kimi K2.6 $3.41 per million output tokens, 5.3x apart.
- Context window
- DeepSeek V4 Flash Vision Exp takes 1.05M tokens, Kimi K2.6 262K.
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 Vision Exp | Bars | Kimi K2.6 | Ties |
|---|---|---|---|---|
| Coding | 1 | 1 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 1 | 1 | ||
| General | 1 | 0 | ||
| All shared boards | 5 | 2 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index11
| Benchmark | DeepSeek V4 Flash Vision Exp | Kimi K2.6 | Leader |
|---|---|---|---|
| LiveBench coding | 37.6% | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| LMArena WebDev | Not measured | 1509 | Only Kimi K2.6 measured |
| AA Coding Index | 65.0 | 61.8 | DeepSeek V4 Flash Vision Exp |
| LiveCodeBench (Vals AI) | Not measured | 86.8% | Only Kimi K2.6 measured |
| SWE-bench Verified (Vals AI) | Not measured | 76.2% | Only Kimi K2.6 measured |
| Vibe Code Bench (Vals AI) | Not measured | 37.9% | Only Kimi K2.6 measured |
| Code migration (Vals AI) | Not measured | 27.8% | Only Kimi K2.6 measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Kimi K2.6 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 53.6% | Only Kimi K2.6 measured |
| SciCode | 49.7% | 51.5% | Kimi K2.6 |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 43.9% | Only Kimi K2.6 measured |
| WeirdML | Not measured | 55.9% | Only Kimi K2.6 measured |
| ALE-Bench | Not measured | 1092.7 | Only Kimi K2.6 measured |
| LMArena Text: coding | Not measured | 1489 | Only Kimi K2.6 measured |
| LMArena Text: software and IT | Not measured | 1484 | Only Kimi K2.6 measured |
| LMArena WebDev: React | Not measured | 1505 | Only Kimi K2.6 measured |
| LMArena WebDev: HTML | Not measured | 1485 | Only Kimi K2.6 measured |
| LMArena WebDev: from an image | Not measured | 1521 | Only Kimi K2.6 measured |
| Neither model has a result on the other 20 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | DeepSeek V4 Flash Vision Exp | Kimi K2.6 | Leader |
|---|---|---|---|
| AA Intelligence Index | 34.8 | 27.0 | DeepSeek V4 Flash Vision Exp |
| Epoch Capabilities Index | Not measured | 150.9 | Only Kimi K2.6 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | DeepSeek V4 Flash Vision Exp | Kimi K2.6 | Leader |
|---|---|---|---|
| AA Agentic Index | 47.5 | 20.5 | DeepSeek V4 Flash Vision Exp |
| Design Arena: agents building web apps | Not measured | 1268 | Only Kimi K2.6 measured |
| Design Arena: agents building full-stack apps | Not measured | 1155 | Only Kimi K2.6 measured |
| Design Arena: agents building mobile apps | Not measured | 1156 | Only Kimi K2.6 measured |
| Design Arena: agents building Android apps | Not measured | 1166 | Only Kimi K2.6 measured |
| Design Arena: agents building Godot games | Not measured | 1120 | Only Kimi K2.6 measured |
| Design Arena: agents building games | Not measured | 1141 | Only Kimi K2.6 measured |
| Design Arena: HTML slides | Not measured | 1184 | Only Kimi K2.6 measured |
| Design Arena: PowerPoint slides | Not measured | 1128 | Only Kimi K2.6 measured |
| Design Arena: spreadsheets | Not measured | 1276 | Only Kimi K2.6 measured |
| LiveBench research | 69.2% | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| LiveBench browser | 64.0% | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| LiveBench long agentic | 39.0% | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| Finance Agent (Vals AI) | Not measured | 44.9% | Only Kimi K2.6 measured |
| Tax Agent Bench (Vals AI) | Not measured | 12.4% | Only Kimi K2.6 measured |
| Legal Research Bench (Vals AI) | Not measured | 15.9% | Only Kimi K2.6 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 57.9% | Only Kimi K2.6 measured |
| τ²-Bench Telecom | Not measured | 95.9% | Only Kimi K2.6 measured |
| OSWorld 2.0 | Not measured | 4.6% | Only Kimi K2.6 measured |
| Vending-Bench 2 | Not measured | $6,205 | Only Kimi K2.6 measured |
| Neither model has a result on the other 19 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | DeepSeek V4 Flash Vision Exp | Kimi K2.6 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 89.1% | Only Kimi K2.6 measured |
| LiveBench reasoning | 85.4% | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| MMMU Pro (Vals AI) | Not measured | 86.3% | Only Kimi K2.6 measured |
| GPQA Diamond (Artificial Analysis run) | 91.3% | 91.1% | DeepSeek V4 Flash Vision Exp |
| Humanity's Last Exam (Artificial Analysis run) | 34.5% | 37.5% | Kimi K2.6 |
| GPQA Diamond (Epoch AI run) | Not measured | 90.8% | Only Kimi K2.6 measured |
| Chess puzzles | Not measured | 20.0% | Only Kimi K2.6 measured |
| Mystery game puzzles | Not measured | 18.0% | Only Kimi K2.6 measured |
| EBR-bench | Not measured | 2.4% | Only Kimi K2.6 measured |
| LMArena Text: hard prompts | Not measured | 1470 | Only Kimi K2.6 measured |
| LMArena Text: expert | Not measured | 1491 | Only Kimi K2.6 measured |
| LMArena Text: hard prompts in English | Not measured | 1471 | Only Kimi K2.6 measured |
| LMArena Vision: diagrams | Not measured | 1298 | Only Kimi K2.6 measured |
| LMArena Vision: homework | Not measured | 1310 | Only Kimi K2.6 measured |
| Neither model has a result on the other 7 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | DeepSeek V4 Flash Vision Exp | Kimi K2.6 | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 96.1% | Only Kimi K2.6 measured |
| FrontierMath, tiers 1 to 3 | Not measured | 57.2% | Only Kimi K2.6 measured |
| FrontierMath, tier 4 | Not measured | 25.6% | Only Kimi K2.6 measured |
| ProofBench | Not measured | 16.0% | Only Kimi K2.6 measured |
| LMArena Text: math | Not measured | 1474 | Only Kimi K2.6 measured |
| LMArena Text: mathematical work | Not measured | 1480 | Only Kimi K2.6 measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
| Benchmark | DeepSeek V4 Flash Vision Exp | Kimi K2.6 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 87.6% | Only Kimi K2.6 measured |
| LegalBench (Vals AI) | Not measured | 84.7% | Only Kimi K2.6 measured |
| CaseLaw (Vals AI) | Not measured | 61.2% | Only Kimi K2.6 measured |
| CorpFin (Vals AI) | Not measured | 66.7% | Only Kimi K2.6 measured |
| TaxEval (Vals AI) | Not measured | 74.7% | Only Kimi K2.6 measured |
| MortgageTax (Vals AI) | Not measured | 65.8% | Only Kimi K2.6 measured |
| MedCode (Vals AI) | Not measured | 40.1% | Only Kimi K2.6 measured |
| SimpleQA Verified | Not measured | 34.9% | Only Kimi K2.6 measured |
| LMArena Text: science | Not measured | 1468 | Only Kimi K2.6 measured |
| LMArena Text: medicine and healthcare | Not measured | 1457 | Only Kimi K2.6 measured |
| LMArena Text: legal and government | Not measured | 1462 | Only Kimi K2.6 measured |
| LMArena Text: business and finance | Not measured | 1445 | Only Kimi K2.6 measured |
| Neither model has a result on the other 5 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | DeepSeek V4 Flash Vision Exp | Kimi K2.6 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1269 | Only Kimi K2.6 measured |
| Design Arena: UI components | Not measured | 1266 | Only Kimi K2.6 measured |
| Design Arena: game dev | Not measured | 1251 | Only Kimi K2.6 measured |
| Design Arena: data viz | Not measured | 1249 | Only Kimi K2.6 measured |
| Design Arena: 3D | Not measured | 1268 | Only Kimi K2.6 measured |
| Design Arena: all code categories | Not measured | 1272 | Only Kimi K2.6 measured |
| Design Arena: SVG | Not measured | 1181 | Only Kimi K2.6 measured |
| Design Arena: ASCII art | Not measured | 1164 | Only Kimi K2.6 measured |
| LiveBench design | 70.7% | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | DeepSeek V4 Flash Vision Exp | Kimi K2.6 | Leader |
|---|---|---|---|
| LiveBench data analysis | 79.5% | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| Public Benefits Bench (Vals AI) | Not measured | 56.6% | Only Kimi K2.6 measured |
| SAGE (Vals AI) | Not measured | 50.2% | Only Kimi K2.6 measured |
| MedScribe (Vals AI) | Not measured | 78.2% | Only Kimi K2.6 measured |
| Vals Multimodal Index | Not measured | 56.4% | Only Kimi K2.6 measured |
| IFBench | Not measured | 76.0% | Only Kimi K2.6 measured |
| Long context reasoning (AA-LCR) | 81.3% | 81.0% | DeepSeek V4 Flash Vision Exp |
| DTBench | Not measured | 90.9% | Only Kimi K2.6 measured |
| LMCA | Not measured | 37.3% | Only Kimi K2.6 measured |
| Furniture assembly | Not measured | 21.7% | Only Kimi K2.6 measured |
| ExploitBench | Not measured | 18.4% | Only Kimi K2.6 measured |
| LMArena Text | Not measured | 1455 | Only Kimi K2.6 measured |
| LMArena Text: instruction following | Not measured | 1451 | Only Kimi K2.6 measured |
| LMArena Text: creative writing | Not measured | 1434 | Only Kimi K2.6 measured |
| LMArena Vision | Not measured | 1282 | Only Kimi K2.6 measured |
| LMArena Text: English | Not measured | 1460 | Only Kimi K2.6 measured |
| LMArena Text: non-English | Not measured | 1446 | Only Kimi K2.6 measured |
| LMArena Text: Chinese | Not measured | 1520 | Only Kimi K2.6 measured |
| LMArena Text: German | Not measured | 1451 | Only Kimi K2.6 measured |
| LMArena Text: Japanese | Not measured | 1443 | Only Kimi K2.6 measured |
| LMArena Text: Korean | Not measured | 1427 | Only Kimi K2.6 measured |
| LMArena Text: French | Not measured | 1471 | Only Kimi K2.6 measured |
| LMArena Text: Spanish | Not measured | 1464 | Only Kimi K2.6 measured |
| LMArena Text: Russian | Not measured | 1446 | Only Kimi K2.6 measured |
| LMArena Text: Polish | Not measured | 1438 | Only Kimi K2.6 measured |
| LMArena Text: multi-turn | Not measured | 1453 | Only Kimi K2.6 measured |
| LMArena Text: longer queries | Not measured | 1468 | Only Kimi K2.6 measured |
| LMArena Text: writing and language | Not measured | 1439 | Only Kimi K2.6 measured |
| LMArena Text: entertainment and media | Not measured | 1428 | Only Kimi K2.6 measured |
| LMArena Vision: English | Not measured | 1287 | Only Kimi K2.6 measured |
| LMArena Vision: Chinese | Not measured | 1346 | Only Kimi K2.6 measured |
| LMArena Vision: reading text | Not measured | 1291 | Only Kimi K2.6 measured |
| LMArena Vision: humor | Not measured | 1280 | Only Kimi K2.6 measured |
| LMArena Vision: creative writing | Not measured | 1273 | Only Kimi K2.6 measured |
| LMArena Document | Not measured | 1451 | Only Kimi K2.6 measured |
| Neither model has a result on the other 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V4 Flash Vision Exp | Kimi K2.6 | 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 Vision Exp costs less
Repository review
50K input + 3K output tokens
DeepSeek V4 Flash Vision Exp costs less
Agent loop
200K input + 10K output tokens
DeepSeek V4 Flash Vision 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 V4 Flash Vision Exp | MoonshotAI Kimi K2.6 |
|---|---|---|
| Maker | DeepSeek | Moonshot AI |
| Weights | Open weights | Open weights |
| Released | August 21, 2026 | April 20, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $0.2156 | $0.65 |
| Output $/Mtok | $0.6468 | $3.41 |
| Coding index | 37.6 | 44.2 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | $0.35 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4 Flash Vision Exp better than Kimi K2.6 for coding?
Pick Kimi K2.6 for coding: it scores 44.2 on the Vibe Coding Index against 37.6 for DeepSeek V4 Flash Vision Exp. Pick DeepSeek V4 Flash Vision Exp when output tokens cost 5.3x less, or when the context window is larger, 1.05M against 262K tokens.
Which is cheaper, DeepSeek V4 Flash Vision Exp or Kimi K2.6?
DeepSeek V4 Flash Vision Exp costs $0.2156 per million input tokens and $0.6468 per million output tokens; Kimi K2.6 costs $0.65 and $3.41. Cost per solved task is known for Kimi K2.6 only.
Which has the bigger context window, DeepSeek V4 Flash Vision Exp or Kimi K2.6?
DeepSeek V4 Flash Vision Exp, with 1.05M tokens against 262K.
How many benchmarks is the DeepSeek V4 Flash Vision Exp vs Kimi K2.6 comparison based on?
7 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4 Flash Vision Exp's coding index rests on 1 independent benchmark and Kimi K2.6's on 1. Where only one model has a result, the page says so instead of naming a winner.