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DeepSeek V3.2 vs Grok 4.6

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.

Replace DeepSeek V3.2 Replace Grok 4.6
DeepSeek V3.2DeepSeek
Coding
54.4
Overall
21.5
Output $/M
$0.42
8
Grok 4.6xAI
Coding
76.4
Overall
44.3
Output $/M
$6.00
51
vs boards won of 59 shared

Decision reading

Pick Grok 4.6 for coding: it scores 76.4 on the Vibe Coding Index against 54.4 for DeepSeek V3.2.

Pick DeepSeek V3.2 when output tokens cost 14.3x less, or when what matters is LMArena Text: hard prompts in English or LMArena Text: math, where it leads.

Model ADeepSeek V3.2DeepSeek54.4/1002 independent benchmarks$0.99 per solved taskModel BGrok 4.6xAI76.4/1002 independent benchmarks$0.82 per solved task
Shared results
59
DeepSeek V3.2 only
16
Grok 4.6 only
64
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.

At a glance

Coding index
DeepSeek V3.2 54.4 from 2 benchmarks, Grok 4.6 76.4 from 2 benchmarks.
Widest category
Agentic work, 47.0 points apart on average over 2 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): DeepSeek V3.2 5.1% against Grok 4.6 76.2%, 71.1 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.2 $0.42 against Grok 4.6 $6.00 per million output tokens, 14.3x apart.
Context window
DeepSeek V3.2 takes 164K tokens, Grok 4.6 500K.

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.

Boards won, where both have a result
CategoryDeepSeek V3.2BarsGrok 4.6Ties
Coding09
Intelligence02
Agentic work02
Reasoning17
Math11
Knowledge26
Web design08
General416
All shared boards851
CodingLike-for-likeFour of these boards feed the Vibe Coding Index09
Coding benchmarks for DeepSeek V3.2 and Grok 4.6
BenchmarkDeepSeek V3.2Grok 4.6Leader
SWE-bench Verified70.0%Not measuredOnly DeepSeek V3.2 measured
SWE-bench Multilingual59.0%Not measuredOnly DeepSeek V3.2 measured
LiveBench codingNot measured89.1%Only Grok 4.6 measured
LMArena WebDev13621617Grok 4.6
AA Coding Index44.276.8Grok 4.6
LiveCodeBench (Vals AI)80.7%88.2%Grok 4.6
SWE-bench Verified (Vals AI)67.6%95.6%Grok 4.6
Terminal-Bench 4 (Vals AI)Not measured17.2%Only Grok 4.6 measured
Vibe Code Bench (Vals AI)5.1%76.2%Grok 4.6
Code migration (Vals AI)Not measured44.6%Only Grok 4.6 measured
ProgramBench (Vals AI)Not measured1.0%Only Grok 4.6 measured
IOI (Vals AI)Not measured47.6%Only Grok 4.6 measured
Terminal-Bench 2.1 (Vals AI)Not measured78.3%Only Grok 4.6 measured
Vibe Code Bench 1-100 (Vals AI)Not measured14.8%Only Grok 4.6 measured
SkillsBench (Vals AI)Not measured55.8%Only Grok 4.6 measured
CyberBench (Vals AI)Not measured67.7%Only Grok 4.6 measured
LiveCodeBench (Artificial Analysis run)86.2%Not measuredOnly DeepSeek V3.2 measured
SciCodeNot measured56.5%Only Grok 4.6 measured
Terminal-Bench Hard (Artificial Analysis run)35.6%Not measuredOnly DeepSeek V3.2 measured
Terminal-Bench39.6%Not measuredOnly DeepSeek V3.2 measured
FrontierCodeNot measured48.0%Only Grok 4.6 measured
FrontierSWENot measured25.3%Only Grok 4.6 measured
WeirdMLNot measured67.3%Only Grok 4.6 measured
ALE-BenchNot measured1508.1Only Grok 4.6 measured
LMArena Text: coding14531466Grok 4.6
LMArena Text: software and IT14491457Grok 4.6
LMArena WebDev: React13501631Grok 4.6
LMArena WebDev: HTML13711597Grok 4.6
LMArena WebDev: from an imageNot measured1603Only Grok 4.6 measured
Neither model has a result on the other 9 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for DeepSeek V3.2 and Grok 4.6
BenchmarkDeepSeek V3.2Grok 4.6Leader
AA Intelligence Index21.544.3Grok 4.6
Epoch Capabilities Index146.1156.6Grok 4.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for DeepSeek V3.2 and Grok 4.6
BenchmarkDeepSeek V3.2Grok 4.6Leader
AA Agentic IndexNot measured53.0Only Grok 4.6 measured
Design Arena: agents building web appsNot measured1247Only Grok 4.6 measured
Design Arena: agents building full-stack appsNot measured1264Only Grok 4.6 measured
Design Arena: agents building mobile appsNot measured1234Only Grok 4.6 measured
Design Arena: agents building Android appsNot measured1297Only Grok 4.6 measured
Design Arena: agents building Godot gamesNot measured1276Only Grok 4.6 measured
Design Arena: agents building gamesNot measured1208Only Grok 4.6 measured
Design Arena: HTML slidesNot measured1249Only Grok 4.6 measured
Design Arena: PowerPoint slidesNot measured1241Only Grok 4.6 measured
LiveBench researchNot measured84.5%Only Grok 4.6 measured
LiveBench browserNot measured64.0%Only Grok 4.6 measured
LiveBench long agenticNot measured40.7%Only Grok 4.6 measured
Finance Agent (Vals AI)Not measured53.7%Only Grok 4.6 measured
Tax Agent Bench (Vals AI)Not measured33.1%Only Grok 4.6 measured
Legal Research Bench (Vals AI)Not measured48.1%Only Grok 4.6 measured
Excel Modeling Benchmark (Vals AI)Not measured62.7%Only Grok 4.6 measured
BioMysteryBench (Vals AI)Not measured72.2%Only Grok 4.6 measured
Terminal-Bench-Science (Vals AI)Not measured11.4%Only Grok 4.6 measured
Vals Science IndexNot measured38.1%Only Grok 4.6 measured
Time Horizon Index (Vals AI)Not measured5.8%Only Grok 4.6 measured
τ²-Bench Telecom90.6%Not measuredOnly DeepSeek V3.2 measured
APEX-Agents21.3%65.3%Grok 4.6
Vending-Bench 2$1,034$9,047Grok 4.6
Neither model has a result on the other 16 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index17
Reasoning benchmarks for DeepSeek V3.2 and Grok 4.6
BenchmarkDeepSeek V3.2Grok 4.6Leader
GPQA Diamond80.3%94.7%Grok 4.6
LiveBench reasoningNot measured91.2%Only Grok 4.6 measured
MysteryMechanism (Vals AI)Not measured30.6%Only Grok 4.6 measured
GPQA Diamond (Artificial Analysis run)84.0%94.9%Grok 4.6
Humanity's Last Exam (Artificial Analysis run)24.6%44.1%Grok 4.6
GPQA Diamond (Epoch AI run)Not measured94.0%Only Grok 4.6 measured
ARC-AGI57.0%87.5%Grok 4.6
ARC-AGI-24.0%67.1%Grok 4.6
SimpleBenchNot measured75.9%Only Grok 4.6 measured
Chess puzzlesNot measured33.0%Only Grok 4.6 measured
Mystery game puzzlesNot measured34.0%Only Grok 4.6 measured
EBR-benchNot measured30.5%Only Grok 4.6 measured
LMArena Text: hard prompts14341448Grok 4.6
LMArena Text: expert14361469Grok 4.6
LMArena Text: hard prompts in English14461445DeepSeek V3.2
LMArena Vision: diagramsNot measured1285Only Grok 4.6 measured
LMArena Vision: homeworkNot measured1283Only Grok 4.6 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index11
Math benchmarks for DeepSeek V3.2 and Grok 4.6
BenchmarkDeepSeek V3.2Grok 4.6Leader
AIME84.6%Not measuredOnly DeepSeek V3.2 measured
MGSM (Vals AI)86.0%Not measuredOnly DeepSeek V3.2 measured
AA Math Index92.0Not measuredOnly DeepSeek V3.2 measured
AIME 2025 (Artificial Analysis run)92.0%Not measuredOnly DeepSeek V3.2 measured
OTIS Mock AIMENot measured99.2%Only Grok 4.6 measured
FrontierMath, tiers 1 to 3Not measured66.0%Only Grok 4.6 measured
FrontierMath, tier 4Not measured31.7%Only Grok 4.6 measured
ProofBenchNot measured51.0%Only Grok 4.6 measured
LMArena Text: math14351417DeepSeek V3.2
LMArena Text: mathematical work14401464Grok 4.6
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index26
Knowledge benchmarks for DeepSeek V3.2 and Grok 4.6
BenchmarkDeepSeek V3.2Grok 4.6Leader
MMLU Pro84.9%89.4%Grok 4.6
LegalBench (Vals AI)76.1%86.3%Grok 4.6
CaseLaw (Vals AI)55.4%Not measuredOnly DeepSeek V3.2 measured
CorpFin (Vals AI)51.0%66.2%Grok 4.6
TaxEval (Vals AI)68.2%71.1%Grok 4.6
MortgageTax (Vals AI)Not measured64.2%Only Grok 4.6 measured
MedQA (Vals AI)93.9%Not measuredOnly DeepSeek V3.2 measured
MedCode (Vals AI)Not measured44.7%Only Grok 4.6 measured
MMLU Pro (Artificial Analysis run)86.2%Not measuredOnly DeepSeek V3.2 measured
SimpleQA VerifiedNot measured49.3%Only Grok 4.6 measured
LMArena Text: science14461437DeepSeek V3.2
LMArena Text: medicine and healthcare14401420DeepSeek V3.2
LMArena Text: legal and government14251429Grok 4.6
LMArena Text: business and finance14101416Grok 4.6
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for DeepSeek V3.2 and Grok 4.6
BenchmarkDeepSeek V3.2Grok 4.6Leader
Design Arena: websites11751289Grok 4.6
Design Arena: UI components11491294Grok 4.6
Design Arena: game dev11321296Grok 4.6
Design Arena: data viz11581283Grok 4.6
Design Arena: 3D11331277Grok 4.6
Design Arena: all code categories11641292Grok 4.6
Design Arena: SVG10321239Grok 4.6
Design Arena: ASCII art10821278Grok 4.6
LiveBench designNot measured79.8%Only Grok 4.6 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index416
General benchmarks for DeepSeek V3.2 and Grok 4.6
BenchmarkDeepSeek V3.2Grok 4.6Leader
LiveBench data analysisNot measured75.3%Only Grok 4.6 measured
Public Benefits Bench (Vals AI)Not measured66.8%Only Grok 4.6 measured
SAGE (Vals AI)Not measured28.9%Only Grok 4.6 measured
MedScribe (Vals AI)Not measured86.5%Only Grok 4.6 measured
IFBench60.7%Not measuredOnly DeepSeek V3.2 measured
Long context reasoning (AA-LCR)73.3%81.0%Grok 4.6
DTBench85.6%97.3%Grok 4.6
LMCA28.8%48.5%Grok 4.6
CL-bench12.4%Not measuredOnly DeepSeek V3.2 measured
Furniture assemblyNot measured40.0%Only Grok 4.6 measured
CL-bench Life7.4%Not measuredOnly DeepSeek V3.2 measured
LMArena Text14251429Grok 4.6
LMArena Text: instruction following14131431Grok 4.6
LMArena Text: creative writing14001426Grok 4.6
LMArena VisionNot measured1263Only Grok 4.6 measured
LMArena Text: English14391433DeepSeek V3.2
LMArena Text: non-English14091420Grok 4.6
LMArena Text: Chinese14551476Grok 4.6
LMArena Text: German14131426Grok 4.6
LMArena Text: Japanese13741378Grok 4.6
LMArena Text: Korean13701391Grok 4.6
LMArena Text: French14291455Grok 4.6
LMArena Text: Spanish14241414DeepSeek V3.2
LMArena Text: Russian14241421DeepSeek V3.2
LMArena Text: Polish14191430Grok 4.6
LMArena Text: multi-turn14271425DeepSeek V3.2
LMArena Text: longer queries14281456Grok 4.6
LMArena Text: writing and language14071429Grok 4.6
LMArena Text: entertainment and media13951421Grok 4.6
LMArena Vision: EnglishNot measured1270Only Grok 4.6 measured
LMArena Vision: ChineseNot measured1289Only Grok 4.6 measured
LMArena Vision: reading textNot measured1272Only Grok 4.6 measured
LMArena Vision: humorNot measured1270Only Grok 4.6 measured
LMArena Vision: creative writingNot measured1262Only Grok 4.6 measured
LMArena DocumentNot measured1452Only Grok 4.6 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
Image generation benchmarks for DeepSeek V3.2 and Grok 4.6
BenchmarkDeepSeek V3.2Grok 4.6Leader
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$0.0005Fits in one request
Grok 4.6$0.0050Fits in one request

DeepSeek V3.2 costs less

Repository review

50K input + 3K output tokens

DeepSeek V3.2$0.015Fits in one request
Grok 4.6$0.118Fits in one request

DeepSeek V3.2 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3.2$0.060Exceeds the context window
Grok 4.6$0.460Fits in one request

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.

Specifications of DeepSeek V3.2 and Grok 4.6
SpecificationDeepSeek V3.2SpaceXAI Grok 4.6
MakerDeepSeekxAI
WeightsOpen weightsNo public weights listed
ReleasedDecember 1, 2025August 12, 2026
Context window164K500K
Input $/Mtok$0.28$2.00
Output $/Mtok$0.42$6.00
Coding index54.476.4
Independent measurements behind it22
Cost per solved task$0.99$0.82
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.2 better than Grok 4.6 for coding?

Pick Grok 4.6 for coding: it scores 76.4 on the Vibe Coding Index against 54.4 for DeepSeek V3.2. Pick DeepSeek V3.2 when output tokens cost 14.3x less, or when what matters is LMArena Text: hard prompts in English or LMArena Text: math, where it leads.

Which is cheaper, DeepSeek V3.2 or Grok 4.6?

DeepSeek V3.2 costs $0.28 per million input tokens and $0.42 per million output tokens; Grok 4.6 costs $2.00 and $6.00. Per solved SWE-bench Verified task, DeepSeek V3.2 costs $0.99 and Grok 4.6 $0.82.

Which has the bigger context window, DeepSeek V3.2 or Grok 4.6?

Grok 4.6, with 500K tokens against 164K.

How many benchmarks is the DeepSeek V3.2 vs Grok 4.6 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 4.6's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/deepseek-v3-2-vs-grok-4-6">LLMBenchmark.ai, DeepSeek V3.2 vs Grok 4.6</a></p>