DeepSeek V3.2 vs Grok 4.3
Updated October 21, 2026. 59 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick DeepSeek V3.2 for coding: it scores 54.4 on the Vibe Coding Index against 22.5 for Grok 4.3.
Pick Grok 4.3 when a solved task costs $0.31 against $0.99, or when the context window is larger, 1M against 164K tokens.
- Shared results
- 59
- DeepSeek V3.2 only
- 16
- Grok 4.3 only
- 45
- Like-for-like categories
- 8 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
DeepSeek V3.2
DeepSeek V3.2 scores 54.4 against 22.5.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
Grok 4.3
Grok 4.3 leads, 24.9 against 21.5.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Grok 4.3 has a AA Agentic Index result, 15.5.
Directional only
Reasoning
GPQA Diamond
Grok 4.3
Grok 4.3 leads, 91.4% against 80.3%.
Same board, both measured
Math
AIME
No call
Only DeepSeek V3.2 has a AIME result, 84.6%.
Directional only
Knowledge
MMLU Pro
Grok 4.3
Grok 4.3 leads, 85.8% against 84.9%.
Same board, both measured
Web design
Design Arena: websites
Grok 4.3
Grok 4.3 leads, 1196 against 1175.
Same board, both measured
Long documents
Listed context window
Grok 4.3
Grok 4.3 takes 1M tokens against 164K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V3.2
DeepSeek V3.2 $0.0005, Grok 4.3 $0.0025 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Grok 4.3
DeepSeek V3.2 $0.99, Grok 4.3 $0.31.
Published attempt cost and pass rate
At a glance
- Coding index
- DeepSeek V3.2 54.4 from 2 benchmarks, Grok 4.3 22.5 from 1 benchmark.
- Widest category
- Knowledge, 9.1 points apart on average over 9 shared benchmarks.
- Widest single gap
- CaseLaw (Vals AI): DeepSeek V3.2 55.4% against Grok 4.3 79.3%, 23.9 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V3.2 $0.42 against Grok 4.3 $2.50 per million output tokens, 6.0x apart.
- Context window
- DeepSeek V3.2 takes 164K tokens, Grok 4.3 1M.
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 V3.2 | Bars | Grok 4.3 | Ties |
|---|---|---|---|---|
| Coding | 5 | 5 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 1 | ||
| Reasoning | 3 | 3 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 5 | ||
| Web design | 1 | 7 | ||
| General | 16 | 5 | ||
| All shared boards | 32 | 27 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index55
| Benchmark | DeepSeek V3.2 | Grok 4.3 | Leader |
|---|---|---|---|
| SWE-bench Verified | 70.0% | Not measured | Only DeepSeek V3.2 measured |
| SWE-bench Multilingual | 59.0% | Not measured | Only DeepSeek V3.2 measured |
| LMArena WebDev | 1362 | 1358 | DeepSeek V3.2 |
| AA Coding Index | 44.2 | 42.2 | DeepSeek V3.2 |
| LiveCodeBench (Vals AI) | 80.7% | 84.5% | Grok 4.3 |
| SWE-bench Verified (Vals AI) | 67.6% | 71.4% | Grok 4.3 |
| Vibe Code Bench (Vals AI) | 5.1% | 19.4% | Grok 4.3 |
| Code migration (Vals AI) | Not measured | 6.8% | Only Grok 4.3 measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Grok 4.3 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 42.0% | Only Grok 4.3 measured |
| SkillsBench (Vals AI) | Not measured | 40.6% | Only Grok 4.3 measured |
| LiveCodeBench (Artificial Analysis run) | 86.2% | Not measured | Only DeepSeek V3.2 measured |
| SciCode | Not measured | 48.3% | Only Grok 4.3 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 35.6% | 37.9% | Grok 4.3 |
| Terminal-Bench | 39.6% | Not measured | Only DeepSeek V3.2 measured |
| WeirdML | Not measured | 49.9% | Only Grok 4.3 measured |
| ALE-Bench | Not measured | 944.2 | Only Grok 4.3 measured |
| LMArena Text: coding | 1453 | 1415 | DeepSeek V3.2 |
| LMArena Text: software and IT | 1449 | 1416 | DeepSeek V3.2 |
| LMArena WebDev: React | 1350 | 1353 | Grok 4.3 |
| LMArena WebDev: HTML | 1371 | 1367 | DeepSeek V3.2 |
| LMArena WebDev: from an image | Not measured | 1375 | Only Grok 4.3 measured |
| Neither model has a result on the other 16 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V3.2 | Grok 4.3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 21.5 | 24.9 | Grok 4.3 |
| Epoch Capabilities Index | 146.1 | Not measured | Only DeepSeek V3.2 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | DeepSeek V3.2 | Grok 4.3 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 15.5 | Only Grok 4.3 measured |
| Design Arena: agents building web apps | Not measured | 1126 | Only Grok 4.3 measured |
| Design Arena: agents building full-stack apps | Not measured | 1006 | Only Grok 4.3 measured |
| Design Arena: agents building mobile apps | Not measured | 1059 | Only Grok 4.3 measured |
| Design Arena: agents building Android apps | Not measured | 967 | Only Grok 4.3 measured |
| Design Arena: agents building Godot games | Not measured | 914 | Only Grok 4.3 measured |
| Design Arena: agents building games | Not measured | 1007 | Only Grok 4.3 measured |
| Design Arena: HTML slides | Not measured | 1008 | Only Grok 4.3 measured |
| Design Arena: PowerPoint slides | Not measured | 1012 | Only Grok 4.3 measured |
| Finance Agent (Vals AI) | Not measured | 37.7% | Only Grok 4.3 measured |
| Tax Agent Bench (Vals AI) | Not measured | 6.2% | Only Grok 4.3 measured |
| Legal Research Bench (Vals AI) | Not measured | 15.4% | Only Grok 4.3 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 18.4% | Only Grok 4.3 measured |
| τ²-Bench Telecom | 90.6% | 97.7% | Grok 4.3 |
| APEX-Agents | 21.3% | Not measured | Only DeepSeek V3.2 measured |
| Vending-Bench 2 | $1,034 | $35 | DeepSeek V3.2 |
| LMArena Search | Not measured | 1166 | Only Grok 4.3 measured |
| Neither model has a result on the other 22 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index33
| Benchmark | DeepSeek V3.2 | Grok 4.3 | Leader |
|---|---|---|---|
| GPQA Diamond | 80.3% | 91.4% | Grok 4.3 |
| MMMU Pro (Vals AI) | Not measured | 83.1% | Only Grok 4.3 measured |
| GPQA Diamond (Artificial Analysis run) | 84.0% | 90.1% | Grok 4.3 |
| Humanity's Last Exam (Artificial Analysis run) | 24.6% | 37.2% | Grok 4.3 |
| GPQA Diamond (Epoch AI run) | Not measured | 88.8% | Only Grok 4.3 measured |
| ARC-AGI | 57.0% | Not measured | Only DeepSeek V3.2 measured |
| ARC-AGI-2 | 4.0% | Not measured | Only DeepSeek V3.2 measured |
| Chess puzzles | Not measured | 18.0% | Only Grok 4.3 measured |
| LMArena Text: hard prompts | 1434 | 1396 | DeepSeek V3.2 |
| LMArena Text: expert | 1436 | 1384 | DeepSeek V3.2 |
| LMArena Text: hard prompts in English | 1446 | 1402 | DeepSeek V3.2 |
| LMArena Vision: diagrams | Not measured | 1241 | Only Grok 4.3 measured |
| LMArena Vision: homework | Not measured | 1241 | Only Grok 4.3 measured |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | DeepSeek V3.2 | Grok 4.3 | Leader |
|---|---|---|---|
| AIME | 84.6% | Not measured | Only DeepSeek V3.2 measured |
| MGSM (Vals AI) | 86.0% | Not measured | Only DeepSeek V3.2 measured |
| AA Math Index | 92.0 | Not measured | Only DeepSeek V3.2 measured |
| AIME 2025 (Artificial Analysis run) | 92.0% | Not measured | Only DeepSeek V3.2 measured |
| OTIS Mock AIME | Not measured | 93.3% | Only Grok 4.3 measured |
| FrontierMath, tiers 1 to 3 | Not measured | 42.8% | Only Grok 4.3 measured |
| FrontierMath, tier 4 | Not measured | 14.6% | Only Grok 4.3 measured |
| ProofBench | Not measured | 11.0% | Only Grok 4.3 measured |
| LMArena Text: math | 1435 | 1387 | DeepSeek V3.2 |
| LMArena Text: mathematical work | 1440 | 1396 | DeepSeek V3.2 |
| Neither model has a result on the other 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index45
| Benchmark | DeepSeek V3.2 | Grok 4.3 | Leader |
|---|---|---|---|
| MMLU Pro | 84.9% | 85.8% | Grok 4.3 |
| LegalBench (Vals AI) | 76.1% | 84.5% | Grok 4.3 |
| CaseLaw (Vals AI) | 55.4% | 79.3% | Grok 4.3 |
| CorpFin (Vals AI) | 51.0% | 68.5% | Grok 4.3 |
| TaxEval (Vals AI) | 68.2% | 70.8% | Grok 4.3 |
| MortgageTax (Vals AI) | Not measured | 48.3% | Only Grok 4.3 measured |
| MedQA (Vals AI) | 93.9% | Not measured | Only DeepSeek V3.2 measured |
| MedCode (Vals AI) | Not measured | 38.1% | Only Grok 4.3 measured |
| MMLU Pro (Artificial Analysis run) | 86.2% | Not measured | Only DeepSeek V3.2 measured |
| SimpleQA Verified | Not measured | 33.2% | Only Grok 4.3 measured |
| LMArena Text: science | 1446 | 1399 | DeepSeek V3.2 |
| LMArena Text: medicine and healthcare | 1440 | 1384 | DeepSeek V3.2 |
| LMArena Text: legal and government | 1425 | 1386 | DeepSeek V3.2 |
| LMArena Text: business and finance | 1410 | 1381 | DeepSeek V3.2 |
| Neither model has a result on the other 3 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index17
| Benchmark | DeepSeek V3.2 | Grok 4.3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1175 | 1196 | Grok 4.3 |
| Design Arena: UI components | 1149 | 1192 | Grok 4.3 |
| Design Arena: game dev | 1132 | 1174 | Grok 4.3 |
| Design Arena: data viz | 1158 | 1180 | Grok 4.3 |
| Design Arena: 3D | 1133 | 1125 | DeepSeek V3.2 |
| Design Arena: all code categories | 1164 | 1187 | Grok 4.3 |
| Design Arena: SVG | 1032 | 1081 | Grok 4.3 |
| Design Arena: ASCII art | 1082 | 1125 | Grok 4.3 |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index165
| Benchmark | DeepSeek V3.2 | Grok 4.3 | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | Not measured | 51.7% | Only Grok 4.3 measured |
| SAGE (Vals AI) | Not measured | 19.7% | Only Grok 4.3 measured |
| MedScribe (Vals AI) | Not measured | 74.4% | Only Grok 4.3 measured |
| Vals Multimodal Index | Not measured | 43.3% | Only Grok 4.3 measured |
| IFBench | 60.7% | 83.3% | Grok 4.3 |
| Long context reasoning (AA-LCR) | 73.3% | 75.0% | Grok 4.3 |
| DTBench | 85.6% | 90.7% | Grok 4.3 |
| LMCA | 28.8% | 38.3% | Grok 4.3 |
| CL-bench | 12.4% | Not measured | Only DeepSeek V3.2 measured |
| CL-bench Life | 7.4% | Not measured | Only DeepSeek V3.2 measured |
| LMArena Text | 1425 | 1397 | DeepSeek V3.2 |
| LMArena Text: instruction following | 1413 | 1366 | DeepSeek V3.2 |
| LMArena Text: creative writing | 1400 | 1380 | DeepSeek V3.2 |
| LMArena Vision | Not measured | 1229 | Only Grok 4.3 measured |
| LMArena Text: English | 1439 | 1404 | DeepSeek V3.2 |
| LMArena Text: non-English | 1409 | 1385 | DeepSeek V3.2 |
| LMArena Text: Chinese | 1455 | 1422 | DeepSeek V3.2 |
| LMArena Text: German | 1413 | 1395 | DeepSeek V3.2 |
| LMArena Text: Japanese | 1374 | 1379 | Grok 4.3 |
| LMArena Text: Korean | 1370 | 1354 | DeepSeek V3.2 |
| LMArena Text: French | 1429 | 1411 | DeepSeek V3.2 |
| LMArena Text: Spanish | 1424 | 1399 | DeepSeek V3.2 |
| LMArena Text: Russian | 1424 | 1399 | DeepSeek V3.2 |
| LMArena Text: Polish | 1419 | 1398 | DeepSeek V3.2 |
| LMArena Text: multi-turn | 1427 | 1406 | DeepSeek V3.2 |
| LMArena Text: longer queries | 1428 | 1393 | DeepSeek V3.2 |
| LMArena Text: writing and language | 1407 | 1385 | DeepSeek V3.2 |
| LMArena Text: entertainment and media | 1395 | 1370 | DeepSeek V3.2 |
| LMArena Vision: English | Not measured | 1235 | Only Grok 4.3 measured |
| LMArena Vision: Chinese | Not measured | 1257 | Only Grok 4.3 measured |
| LMArena Vision: reading text | Not measured | 1235 | Only Grok 4.3 measured |
| LMArena Vision: humor | Not measured | 1222 | Only Grok 4.3 measured |
| LMArena Vision: recognizing things | Not measured | 1217 | Only Grok 4.3 measured |
| LMArena Vision: creative writing | Not measured | 1237 | Only Grok 4.3 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 V3.2 | Grok 4.3 | 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 V3.2 costs less
Repository review
50K input + 3K output tokens
DeepSeek V3.2 costs less
Agent loop
200K input + 10K output tokens
DeepSeek V3.2 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 V3.2 | SpaceXAI Grok 4.3 |
|---|---|---|
| Maker | DeepSeek | xAI |
| Weights | Open weights | No public weights listed |
| Released | December 1, 2025 | April 30, 2026 |
| Context window | 164K | 1M |
| Input $/Mtok | $0.28 | $1.25 |
| Output $/Mtok | $0.42 | $2.50 |
| Coding index | 54.4 | 22.5 |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | $0.99 | $0.31 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V3.2 better than Grok 4.3 for coding?
Pick DeepSeek V3.2 for coding: it scores 54.4 on the Vibe Coding Index against 22.5 for Grok 4.3. Pick Grok 4.3 when a solved task costs $0.31 against $0.99, or when the context window is larger, 1M against 164K tokens.
Which is cheaper, DeepSeek V3.2 or Grok 4.3?
DeepSeek V3.2 costs $0.28 per million input tokens and $0.42 per million output tokens; Grok 4.3 costs $1.25 and $2.50. Per solved SWE-bench Verified task, DeepSeek V3.2 costs $0.99 and Grok 4.3 $0.31.
Which has the bigger context window, DeepSeek V3.2 or Grok 4.3?
Grok 4.3, with 1M tokens against 164K.
How many benchmarks is the DeepSeek V3.2 vs Grok 4.3 comparison based on?
59 benchmarks have a result for both models as of October 21, 2026. DeepSeek V3.2's coding index rests on 2 independent benchmarks and Grok 4.3's on 1. Where only one model has a result, the page says so instead of naming a winner.