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DeepSeek V4 Pro 0813 vs Grok 4.7

Updated October 21, 2026. 65 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

DeepSeek V4 Pro 0813DeepSeek
Coding
54.6
Overall
36.0
Output $/M
$1.98
35
Grok 4.7xAI
Coding
75.0
Overall
46.4
Output $/M
$6.00
30
vs boards won of 65 shared

Decision reading

Pick Grok 4.7 for coding: it scores 75.0 on the Vibe Coding Index against 54.6 for DeepSeek V4 Pro 0813.

Pick DeepSeek V4 Pro 0813 when output tokens cost 3.0x less, or when the context window is larger, 1.05M against 500K tokens.

Shared results
65
DeepSeek V4 Pro 0813 only
13
Grok 4.7 only
34
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.

At a glance

Coding index
DeepSeek V4 Pro 0813 54.6 from 1 benchmark, Grok 4.7 75.0 from 2 benchmarks.
Widest category
Math, 8.6 points apart on average over 6 shared benchmarks.
Widest single gap
ProofBench: DeepSeek V4 Pro 0813 50.0% against Grok 4.7 26.0%, 24.0 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Pro 0813 $1.98 against Grok 4.7 $6.00 per million output tokens, 3.0x apart.
Context window
DeepSeek V4 Pro 0813 takes 1.05M 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 V4 Pro 0813BarsGrok 4.7Ties
Coding311
Intelligence11
Agentic work08
Reasoning63
Math60
Knowledge43
General154
All shared boards3530
CodingLike-for-likeFour of these boards feed the Vibe Coding Index311
Coding benchmarks for DeepSeek V4 Pro 0813 and Grok 4.7
BenchmarkDeepSeek V4 Pro 0813Grok 4.7Leader
LiveBench codingNot measured84.5%Only Grok 4.7 measured
LMArena WebDev15821637Grok 4.7
AA Coding Index68.8Not measuredOnly DeepSeek V4 Pro 0813 measured
LiveCodeBench (Vals AI)87.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
SWE-bench Verified (Vals AI)96.4%Not measuredOnly DeepSeek V4 Pro 0813 measured
Terminal-Bench 4 (Vals AI)14.1%28.8%Grok 4.7
Vibe Code Bench (Vals AI)82.3%86.2%Grok 4.7
Code migration (Vals AI)41.5%44.8%Grok 4.7
ProgramBench (Vals AI)0.0%0.5%Grok 4.7
IOI (Vals AI)51.6%57.7%Grok 4.7
Terminal-Bench 2.1 (Vals AI)54.7%73.4%Grok 4.7
SWE-bench Multimodal (Vals AI)Not measured42.9%Only Grok 4.7 measured
Vibe Code Bench 1-100 (Vals AI)17.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
SkillsBench (Vals AI)53.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
CyberBench (Vals AI)72.9%69.5%DeepSeek V4 Pro 0813
SciCode51.0%57.8%Grok 4.7
FrontierCode28.5%47.6%Grok 4.7
FrontierSWENot measured29.5%Only Grok 4.7 measured
WeirdML66.2%Not measuredOnly DeepSeek V4 Pro 0813 measured
ALE-Bench1403.2Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: coding14691432DeepSeek V4 Pro 0813
LMArena Text: software and IT14621421DeepSeek V4 Pro 0813
LMArena WebDev: React15881663Grok 4.7
LMArena WebDev: HTML15661627Grok 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 index11
Intelligence benchmarks for DeepSeek V4 Pro 0813 and Grok 4.7
BenchmarkDeepSeek V4 Pro 0813Grok 4.7Leader
AA Intelligence Index36.046.4Grok 4.7
Epoch Capabilities Index155.6154.4DeepSeek V4 Pro 0813
Agentic workLike-for-likePublic boards, shown as published, kept out of the index08
Agentic work benchmarks for DeepSeek V4 Pro 0813 and Grok 4.7
BenchmarkDeepSeek V4 Pro 0813Grok 4.7Leader
AA Agentic Index41.3Not measuredOnly DeepSeek V4 Pro 0813 measured
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)1.9%3.8%Grok 4.7
Finance Agent (Vals AI)50.4%52.3%Grok 4.7
Tax Agent Bench (Vals AI)26.8%34.2%Grok 4.7
Legal Research Bench (Vals AI)40.9%47.1%Grok 4.7
Harvey's Legal Agent Benchmark (Vals AI)10.8%18.3%Grok 4.7
Excel Modeling Benchmark (Vals AI)52.8%67.0%Grok 4.7
BioMysteryBench (Vals AI)Not measured69.3%Only Grok 4.7 measured
Terminal-Bench-Science (Vals AI)4.3%10.0%Grok 4.7
Vals Science IndexNot measured34.8%Only Grok 4.7 measured
Robo-bench (Vals AI)Not measured0.2%Only Grok 4.7 measured
APEX-Agents47.3%54.6%Grok 4.7
Vending-Bench 2Not measured$10,537Only Grok 4.7 measured
Neither model has a result on the other 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index63
Reasoning benchmarks for DeepSeek V4 Pro 0813 and Grok 4.7
BenchmarkDeepSeek V4 Pro 0813Grok 4.7Leader
GPQA Diamond92.4%Not measuredOnly DeepSeek V4 Pro 0813 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)92.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
Humanity's Last Exam (Artificial Analysis run)41.0%43.1%Grok 4.7
GPQA Diamond (Epoch AI run)91.7%92.7%Grok 4.7
ARC-AGI90.5%90.2%DeepSeek V4 Pro 0813
ARC-AGI-261.3%61.4%Grok 4.7
Chess puzzles46.0%41.0%DeepSeek V4 Pro 0813
Mystery game puzzles43.0%29.0%DeepSeek V4 Pro 0813
LMArena Text: hard prompts14581415DeepSeek V4 Pro 0813
LMArena Text: expert14591439DeepSeek V4 Pro 0813
LMArena Text: hard prompts in English14631427DeepSeek V4 Pro 0813
LMArena Vision: diagramsNot measured1254Only Grok 4.7 measured
LMArena Vision: homeworkNot measured1309Only Grok 4.7 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for DeepSeek V4 Pro 0813 and Grok 4.7
BenchmarkDeepSeek V4 Pro 0813Grok 4.7Leader
OTIS Mock AIME98.6%98.1%DeepSeek V4 Pro 0813
FrontierMath, tiers 1 to 364.6%53.0%DeepSeek V4 Pro 0813
FrontierMath, tier 426.8%17.1%DeepSeek V4 Pro 0813
ProofBench50.0%26.0%DeepSeek V4 Pro 0813
LMArena Text: math14411414DeepSeek V4 Pro 0813
LMArena Text: mathematical work14431435DeepSeek V4 Pro 0813
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index43
Knowledge benchmarks for DeepSeek V4 Pro 0813 and Grok 4.7
BenchmarkDeepSeek V4 Pro 0813Grok 4.7Leader
MMLU Pro87.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
LegalBench (Vals AI)82.4%84.4%Grok 4.7
CorpFin (Vals AI)65.4%Not measuredOnly DeepSeek V4 Pro 0813 measured
TaxEval (Vals AI)73.1%Not measuredOnly DeepSeek V4 Pro 0813 measured
MedCode (Vals AI)42.5%49.5%Grok 4.7
SimpleQA Verified52.9%56.0%Grok 4.7
LMArena Text: science14571419DeepSeek V4 Pro 0813
LMArena Text: medicine and healthcare14461395DeepSeek V4 Pro 0813
LMArena Text: legal and government14591423DeepSeek V4 Pro 0813
LMArena Text: business and finance14421389DeepSeek V4 Pro 0813
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for DeepSeek V4 Pro 0813 and Grok 4.7
BenchmarkDeepSeek V4 Pro 0813Grok 4.7Leader
Design Arena: websitesNot measured1255Only Grok 4.7 measured
Design Arena: UI componentsNot measured1271Only Grok 4.7 measured
Design Arena: game devNot measured1314Only Grok 4.7 measured
Design Arena: data vizNot measured1227Only Grok 4.7 measured
Design Arena: 3DNot measured1269Only Grok 4.7 measured
Design Arena: all code categoriesNot measured1271Only Grok 4.7 measured
LiveBench designNot measured78.0%Only Grok 4.7 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index154
General benchmarks for DeepSeek V4 Pro 0813 and Grok 4.7
BenchmarkDeepSeek V4 Pro 0813Grok 4.7Leader
Vals Index53.0%58.6%Grok 4.7
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)80.2%89.4%Grok 4.7
Long context reasoning (AA-LCR)80.3%80.0%DeepSeek V4 Pro 0813
DTBench93.9%96.0%Grok 4.7
LMCA45.5%49.4%Grok 4.7
Furniture assemblyNot measured20.8%Only Grok 4.7 measured
LMArena Text14461399DeepSeek V4 Pro 0813
LMArena Text: instruction following14481406DeepSeek V4 Pro 0813
LMArena Text: creative writing14391381DeepSeek V4 Pro 0813
LMArena VisionNot measured1231Only Grok 4.7 measured
LMArena Text: English14571411DeepSeek V4 Pro 0813
LMArena Text: non-English14311386DeepSeek V4 Pro 0813
LMArena Text: Chinese14811449DeepSeek V4 Pro 0813
LMArena Text: GermanNot measured1366Only Grok 4.7 measured
LMArena Text: JapaneseNot measured1359Only Grok 4.7 measured
LMArena Text: Korean14491383DeepSeek V4 Pro 0813
LMArena Text: French14461431DeepSeek V4 Pro 0813
LMArena Text: Spanish14351406DeepSeek V4 Pro 0813
LMArena Text: Russian14481399DeepSeek V4 Pro 0813
LMArena Text: PolishNot measured1420Only Grok 4.7 measured
LMArena Text: multi-turn14541394DeepSeek V4 Pro 0813
LMArena Text: longer queries14581416DeepSeek V4 Pro 0813
LMArena Text: writing and language14431394DeepSeek V4 Pro 0813
LMArena Text: entertainment and media14241376DeepSeek V4 Pro 0813
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 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V4 Pro 0813 and Grok 4.7
BenchmarkDeepSeek V4 Pro 0813Grok 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 V4 Pro 0813$0.0016Fits in one request
Grok 4.7$0.0050Fits in one request

DeepSeek V4 Pro 0813 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Pro 0813$0.039Fits in one request
Grok 4.7$0.118Fits in one request

DeepSeek V4 Pro 0813 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Pro 0813$0.152Fits in one request
Grok 4.7$0.460Fits in one request

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.

Specifications of DeepSeek V4 Pro 0813 and Grok 4.7
SpecificationDeepSeek V4 Pro 0813SpaceXAI Grok 4.7
MakerDeepSeekxAI
WeightsOpen weightsNo public weights listed
ReleasedAugust 12, 2026September 21, 2026
Context window1.05M500K
Input $/Mtok$0.66$2.00
Output $/Mtok$1.98$6.00
Coding index54.675.0
Independent measurements behind it12
Cost per solved task$0.10Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Pro 0813 better than Grok 4.7 for coding?

Pick Grok 4.7 for coding: it scores 75.0 on the Vibe Coding Index against 54.6 for DeepSeek V4 Pro 0813. Pick DeepSeek V4 Pro 0813 when output tokens cost 3.0x less, or when the context window is larger, 1.05M against 500K tokens.

Which is cheaper, DeepSeek V4 Pro 0813 or Grok 4.7?

DeepSeek V4 Pro 0813 costs $0.66 per million input tokens and $1.98 per million output tokens; Grok 4.7 costs $2.00 and $6.00. Cost per solved task is known for DeepSeek V4 Pro 0813 only.

Which has the bigger context window, DeepSeek V4 Pro 0813 or Grok 4.7?

DeepSeek V4 Pro 0813, with 1.05M tokens against 500K.

How many benchmarks is the DeepSeek V4 Pro 0813 vs Grok 4.7 comparison based on?

65 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 Grok 4.7's on 2. Where only one model has a result, the page says so instead of naming a winner.

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