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DeepSeek V3.2 vs Grok 4.7

Grok 4.7 leads DeepSeek V3.2 on coding, 66.7 to 30.0 on the Vibe Coding Index, and DeepSeek V3.2 costs 6.8x less per output token ($0.88 vs $6.00 per million). Updated October 22, 2026; 49 benchmarks have a result for both.

Replace DeepSeek V3.2 Replace Grok 4.7
DeepSeek V3.2DeepSeek
Coding
30.0
Overall
37.9
Output $/M
$0.88
24
Grok 4.7xAI
Coding
66.7
Overall
66.6
Output $/M
$6.00
25
vs boards won of 49 shared

DeepSeek V3.2 or Grok 4.7: which to pick

Pick Grok 4.7 for coding: it scores 66.7 on the Vibe Coding Index against 30.0 for DeepSeek V3.2.

Pick DeepSeek V3.2 for output tokens 6.8x cheaper ($0.88 vs $6.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model ADeepSeek V3.2DeepSeek30.0/1003 independent benchmarks$0.99 per solved taskModel BGrok 4.7xAI66.7/1005 independent benchmarksNo cost per solved task
Shared results
49
DeepSeek V3.2 only
26
Grok 4.7 only
50
Like-for-like categories
8 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.

At a glance

Coding index
DeepSeek V3.2 30.0 from 3 benchmarks, Grok 4.7 66.7 from 5 benchmarks.
Widest category
Agentic work, 46.3 points apart on average over 2 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): DeepSeek V3.2 5.1% against Grok 4.7 86.2%, 81.1 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.2 $0.88 against Grok 4.7 $6.00 per million output tokens, 6.8x apart.
Context window
DeepSeek V3.2 takes 164K tokens, Grok 4.7 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 4.7Ties
Coding24
Intelligence02
Agentic work02
Reasoning24
Math20
Knowledge41
Web design06
General146
All shared boards2425
CodingLike-for-likeSix of these boards feed the Vibe Coding Index24
Coding benchmarks for DeepSeek V3.2 and Grok 4.7
BenchmarkDeepSeek V3.2Grok 4.7Leader
SWE-bench Verified70.0%Not measuredOnly DeepSeek V3.2 measured
SWE-bench Multilingual59.0%Not measuredOnly DeepSeek V3.2 measured
LiveBench codingNot measured84.5%Only Grok 4.7 measured
LMArena WebDev13621637Grok 4.7
AA Coding Index44.2Not measuredOnly DeepSeek V3.2 measured
LiveCodeBench (Vals AI)80.7%Not measuredOnly DeepSeek V3.2 measured
SWE-bench Verified (Vals AI)67.6%Not measuredOnly DeepSeek V3.2 measured
Terminal-Bench 4 (Vals AI)Not measured28.8%Only Grok 4.7 measured
Vibe Code Bench (Vals AI)5.1%86.2%Grok 4.7
Code migration (Vals AI)Not measured44.8%Only Grok 4.7 measured
ProgramBench (Vals AI)Not measured0.5%Only Grok 4.7 measured
IOI (Vals AI)Not measured57.7%Only Grok 4.7 measured
Terminal-Bench 2.1 (Vals AI)Not measured73.4%Only Grok 4.7 measured
SWE-bench Multimodal (Vals AI)Not measured42.9%Only Grok 4.7 measured
CyberBench (Vals AI)Not measured69.5%Only Grok 4.7 measured
LiveCodeBench (Artificial Analysis run)86.2%Not measuredOnly DeepSeek V3.2 measured
SciCodeNot measured57.8%Only Grok 4.7 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 measured47.6%Only Grok 4.7 measured
FrontierSWENot measured29.5%Only Grok 4.7 measured
LMArena Text: coding14531432DeepSeek V3.2
LMArena Text: software and IT14491421DeepSeek V3.2
LMArena WebDev: React13501663Grok 4.7
LMArena WebDev: HTML13711627Grok 4.7
LMArena WebDev: from an imageNot measured1586Only Grok 4.7 measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for DeepSeek V3.2 and Grok 4.7
BenchmarkDeepSeek V3.2Grok 4.7Leader
AA Intelligence Index21.546.4Grok 4.7
Epoch Capabilities Index146.1154.4Grok 4.7
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for DeepSeek V3.2 and Grok 4.7
BenchmarkDeepSeek V3.2Grok 4.7Leader
LiveBench researchNot measured86.4%Only Grok 4.7 measured
LiveBench browserNot measured60.0%Only Grok 4.7 measured
LiveBench long agenticNot measured50.1%Only Grok 4.7 measured
SREBench (Vals AI)Not measured3.8%Only Grok 4.7 measured
Finance Agent (Vals AI)Not measured52.3%Only Grok 4.7 measured
Tax Agent Bench (Vals AI)Not measured34.2%Only Grok 4.7 measured
Legal Research Bench (Vals AI)Not measured47.1%Only Grok 4.7 measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured18.3%Only Grok 4.7 measured
Excel Modeling Benchmark (Vals AI)Not measured67.0%Only Grok 4.7 measured
BioMysteryBench (Vals AI)Not measured69.3%Only Grok 4.7 measured
Terminal-Bench-Science (Vals AI)Not measured10.0%Only Grok 4.7 measured
Vals Science IndexNot measured34.8%Only Grok 4.7 measured
Robo-bench (Vals AI)Not measured0.2%Only Grok 4.7 measured
τ²-Bench Telecom90.6%Not measuredOnly DeepSeek V3.2 measured
APEX-Agents21.3%54.6%Grok 4.7
Vending-Bench 2$1,034$10,537Grok 4.7
Neither model has a result on the other 25 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index24
Reasoning benchmarks for DeepSeek V3.2 and Grok 4.7
BenchmarkDeepSeek V3.2Grok 4.7Leader
GPQA Diamond80.3%Not measuredOnly DeepSeek V3.2 measured
LiveBench reasoningNot measured82.7%Only Grok 4.7 measured
MysteryMechanism (Vals AI)Not measured25.2%Only Grok 4.7 measured
GPQA Diamond (Artificial Analysis run)84.0%Not measuredOnly DeepSeek V3.2 measured
Humanity's Last Exam (Artificial Analysis run)24.6%43.1%Grok 4.7
GPQA Diamond (Epoch AI run)Not measured92.7%Only Grok 4.7 measured
ARC-AGI57.0%90.2%Grok 4.7
ARC-AGI-24.0%61.4%Grok 4.7
Chess puzzlesNot measured41.0%Only Grok 4.7 measured
Mystery game puzzlesNot measured29.0%Only Grok 4.7 measured
LMArena Text: hard prompts14341415DeepSeek V3.2
LMArena Text: expert14361439Grok 4.7
LMArena Text: hard prompts in English14461427DeepSeek V3.2
LMArena Vision: diagramsNot measured1254Only Grok 4.7 measured
LMArena Vision: homeworkNot measured1309Only Grok 4.7 measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for DeepSeek V3.2 and Grok 4.7
BenchmarkDeepSeek V3.2Grok 4.7Leader
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 measured98.1%Only Grok 4.7 measured
FrontierMath, tiers 1 to 3Not measured53.0%Only Grok 4.7 measured
FrontierMath, tier 4Not measured17.1%Only Grok 4.7 measured
ProofBenchNot measured26.0%Only Grok 4.7 measured
LMArena Text: math14351414DeepSeek V3.2
LMArena Text: mathematical work14401435DeepSeek V3.2
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
Knowledge benchmarks for DeepSeek V3.2 and Grok 4.7
BenchmarkDeepSeek V3.2Grok 4.7Leader
MMLU Pro84.9%Not measuredOnly DeepSeek V3.2 measured
LegalBench (Vals AI)76.1%84.4%Grok 4.7
CaseLaw (Vals AI)55.4%Not measuredOnly DeepSeek V3.2 measured
CorpFin (Vals AI)51.0%Not measuredOnly DeepSeek V3.2 measured
TaxEval (Vals AI)68.2%Not measuredOnly DeepSeek V3.2 measured
MedQA (Vals AI)93.9%Not measuredOnly DeepSeek V3.2 measured
MedCode (Vals AI)Not measured49.5%Only Grok 4.7 measured
MMLU Pro (Artificial Analysis run)86.2%Not measuredOnly DeepSeek V3.2 measured
SimpleQA VerifiedNot measured56.0%Only Grok 4.7 measured
LMArena Text: science14461419DeepSeek V3.2
LMArena Text: medicine and healthcare14401395DeepSeek V3.2
LMArena Text: legal and government14251423DeepSeek V3.2
LMArena Text: business and finance14101389DeepSeek V3.2
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for DeepSeek V3.2 and Grok 4.7
BenchmarkDeepSeek V3.2Grok 4.7Leader
Design Arena: websites11751255Grok 4.7
Design Arena: UI components11461275Grok 4.7
Design Arena: game dev11311314Grok 4.7
Design Arena: data viz11581238Grok 4.7
Design Arena: 3D11321274Grok 4.7
Design Arena: all code categories11631273Grok 4.7
Design Arena: SVG1032Not measuredOnly DeepSeek V3.2 measured
Design Arena: ASCII art1083Not measuredOnly DeepSeek V3.2 measured
LiveBench designNot measured78.0%Only Grok 4.7 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index146
General benchmarks for DeepSeek V3.2 and Grok 4.7
BenchmarkDeepSeek V3.2Grok 4.7Leader
Vals IndexNot measured58.6%Only Grok 4.7 measured
LiveBench data analysisNot measured76.9%Only Grok 4.7 measured
Public Benefits Bench (Vals AI)Not measured65.6%Only Grok 4.7 measured
SAGE (Vals AI)Not measured40.8%Only Grok 4.7 measured
MedScribe (Vals AI)Not measured89.4%Only Grok 4.7 measured
IFBench60.7%Not measuredOnly DeepSeek V3.2 measured
Long context reasoning (AA-LCR)73.3%80.0%Grok 4.7
DTBench85.6%96.0%Grok 4.7
LMCA28.8%49.4%Grok 4.7
CL-bench12.4%Not measuredOnly DeepSeek V3.2 measured
Furniture assemblyNot measured20.8%Only Grok 4.7 measured
CL-bench Life7.4%Not measuredOnly DeepSeek V3.2 measured
LMArena Text14251399DeepSeek V3.2
LMArena Text: instruction following14131406DeepSeek V3.2
LMArena Text: creative writing14001381DeepSeek V3.2
LMArena VisionNot measured1231Only Grok 4.7 measured
LMArena Text: English14391411DeepSeek V3.2
LMArena Text: non-English14091386DeepSeek V3.2
LMArena Text: Chinese14551449DeepSeek V3.2
LMArena Text: German14131366DeepSeek V3.2
LMArena Text: Japanese13741359DeepSeek V3.2
LMArena Text: Korean13701383Grok 4.7
LMArena Text: French14291431Grok 4.7
LMArena Text: Spanish14241406DeepSeek V3.2
LMArena Text: Russian14241399DeepSeek V3.2
LMArena Text: Polish14191420Grok 4.7
LMArena Text: multi-turn14271394DeepSeek V3.2
LMArena Text: longer queries14281416DeepSeek V3.2
LMArena Text: writing and language14071394DeepSeek V3.2
LMArena Text: entertainment and media13951376DeepSeek V3.2
LMArena Vision: EnglishNot measured1229Only Grok 4.7 measured
LMArena Vision: ChineseNot measured1250Only Grok 4.7 measured
LMArena Vision: reading textNot measured1241Only Grok 4.7 measured
LMArena Vision: creative writingNot measured1217Only Grok 4.7 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
Image generation benchmarks for DeepSeek V3.2 and Grok 4.7
BenchmarkDeepSeek V3.2Grok 4.7Leader
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$0.0007Fits in one request
Grok 4.7$0.0050Fits in one request

DeepSeek V3.2 costs less

Repository review

50K input + 3K output tokens

DeepSeek V3.2$0.017Fits in one request
Grok 4.7$0.118Fits in one request

DeepSeek V3.2 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3.2$0.067Exceeds the context window
Grok 4.7$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 4.7
SpecificationDeepSeek V3.2SpaceXAI Grok 4.7
MakerDeepSeekxAI
WeightsOpen weightsNo public weights listed
ReleasedDecember 1, 2025September 21, 2026
Context window164K500K
Input $/Mtok$0.29$2.00
Output $/Mtok$0.88$6.00
Coding index30.066.7
Independent measurements behind it35
Cost per solved task$0.99Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.2 better than Grok 4.7 for coding?

Pick Grok 4.7 for coding: it scores 66.7 on the Vibe Coding Index against 30.0 for DeepSeek V3.2. Pick DeepSeek V3.2 for output tokens 6.8x cheaper ($0.88 vs $6.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, DeepSeek V3.2 or Grok 4.7?

DeepSeek V3.2 costs $0.29 per million input tokens and $0.88 per million output tokens; Grok 4.7 costs $2.00 and $6.00. Cost per solved task is known for DeepSeek V3.2 only.

Which has the bigger context window, DeepSeek V3.2 or Grok 4.7?

Grok 4.7, with 500K tokens against 164K.

How many benchmarks is the DeepSeek V3.2 vs Grok 4.7 comparison based on?

49 benchmarks have a result for both models as of October 22, 2026. DeepSeek V3.2's coding index rests on 3 independent benchmarks and Grok 4.7's on 5. 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-4-7">LLMBenchmark.ai, DeepSeek V3.2 vs Grok 4.7</a></p>