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DeepSeek V3 0324 vs Grok 4.5

Grok 4.5 leads DeepSeek V3 0324 on the Artificial Analysis Intelligence Index, 38.8 to 9.7, and DeepSeek V3 0324 costs 5.6x less per output token ($1.07 vs $6.00 per million). Updated October 22, 2026; 19 benchmarks have a result for both.

DeepSeek V3 0324DeepSeek
Coding
No data
Overall
No data
Output $/M
$1.07
0
Grok 4.5xAI
Coding
58.6
Overall
62.1
Output $/M
$6.00
19
vs boards won of 19 shared

DeepSeek V3 0324 or Grok 4.5: which to pick

Only Grok 4.5 has a coding score, 58.6 on the Vibe Coding Index; DeepSeek V3 0324 has none, so the two cannot be ranked on coding.

Pick DeepSeek V3 0324 for output tokens 5.6x cheaper ($1.07 vs $6.00 per million).

Shared results
19
DeepSeek V3 0324 only
16
Grok 4.5 only
104
Like-for-like categories
7 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 0324 not benchmarked, Grok 4.5 58.6 from 6 benchmarks.
Widest category
Math, 60.0 points apart on average over 1 shared benchmark.
Widest single gap
OTIS Mock AIME: DeepSeek V3 0324 37.8% against Grok 4.5 97.8%, 60.0 points apart on a 0 to 100 scale.
Output price
DeepSeek V3 0324 $1.07 against Grok 4.5 $6.00 per million output tokens, 5.6x apart.
Context window
DeepSeek V3 0324 takes 164K tokens, Grok 4.5 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 0324BarsGrok 4.5Ties
Coding04
Intelligence01
Agentic work01
Reasoning05
Math01
Knowledge04
General03
All shared boards019
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for DeepSeek V3 0324 and Grok 4.5
BenchmarkDeepSeek V3 0324Grok 4.5Leader
SWE-bench Verified42.0%Not measuredOnly DeepSeek V3 0324 measured
LiveBench codingNot measured94.3%Only Grok 4.5 measured
LMArena WebDevNot measured1553Only Grok 4.5 measured
AA Coding Index21.272.4Grok 4.5
LiveCodeBench (Vals AI)65.5%87.3%Grok 4.5
SWE-bench Verified (Vals AI)Not measured86.6%Only Grok 4.5 measured
Terminal-Bench 4 (Vals AI)Not measured8.6%Only Grok 4.5 measured
Vibe Code Bench (Vals AI)Not measured69.0%Only Grok 4.5 measured
Code migration (Vals AI)Not measured36.6%Only Grok 4.5 measured
ProgramBench (Vals AI)Not measured0.0%Only Grok 4.5 measured
IOI (Vals AI)Not measured40.6%Only Grok 4.5 measured
Terminal-Bench 2.1 (Vals AI)Not measured67.8%Only Grok 4.5 measured
SkillsBench (Vals AI)Not measured66.0%Only Grok 4.5 measured
CyberBench (Vals AI)Not measured71.0%Only Grok 4.5 measured
LiveCodeBench (Artificial Analysis run)40.5%Not measuredOnly DeepSeek V3 0324 measured
SciCode39.0%55.0%Grok 4.5
Terminal-Bench Hard (Artificial Analysis run)15.2%Not measuredOnly DeepSeek V3 0324 measured
FrontierCodeNot measured42.4%Only Grok 4.5 measured
WeirdML36.1%46.4%Grok 4.5
ALE-BenchNot measured1309.3Only Grok 4.5 measured
LMArena Text: codingNot measured1474Only Grok 4.5 measured
LMArena Text: software and ITNot measured1471Only Grok 4.5 measured
LMArena WebDev: ReactNot measured1556Only Grok 4.5 measured
LMArena WebDev: HTMLNot measured1567Only Grok 4.5 measured
LMArena WebDev: from an imageNot measured1562Only Grok 4.5 measured
SciCodeNot measured6.5%Only Grok 4.5 measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for DeepSeek V3 0324 and Grok 4.5
BenchmarkDeepSeek V3 0324Grok 4.5Leader
AA Intelligence Index9.738.8Grok 4.5
Epoch Capabilities IndexNot measured154.1Only Grok 4.5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for DeepSeek V3 0324 and Grok 4.5
BenchmarkDeepSeek V3 0324Grok 4.5Leader
AA Agentic Index0.841.2Grok 4.5
Design Arena: agents building web appsNot measured1218Only Grok 4.5 measured
Design Arena: agents building full-stack appsNot measured1249Only Grok 4.5 measured
Design Arena: agents building mobile appsNot measured1220Only Grok 4.5 measured
Design Arena: agents building Android appsNot measured1236Only Grok 4.5 measured
Design Arena: agents building Godot gamesNot measured1229Only Grok 4.5 measured
Design Arena: agents building gamesNot measured1236Only Grok 4.5 measured
Design Arena: HTML slidesNot measured1205Only Grok 4.5 measured
Design Arena: PowerPoint slidesNot measured1230Only Grok 4.5 measured
LiveBench researchNot measured85.9%Only Grok 4.5 measured
LiveBench browserNot measured44.0%Only Grok 4.5 measured
LiveBench long agenticNot measured27.9%Only Grok 4.5 measured
SREBench (Vals AI)Not measured0.8%Only Grok 4.5 measured
Finance Agent (Vals AI)Not measured48.4%Only Grok 4.5 measured
Tax Agent Bench (Vals AI)Not measured24.9%Only Grok 4.5 measured
Legal Research Bench (Vals AI)Not measured38.0%Only Grok 4.5 measured
Excel Modeling Benchmark (Vals AI)Not measured52.9%Only Grok 4.5 measured
Time Horizon Index (Vals AI)Not measured6.3%Only Grok 4.5 measured
τ²-Bench Telecom47.1%Not measuredOnly DeepSeek V3 0324 measured
APEX-AgentsNot measured56.2%Only Grok 4.5 measured
METR time horizons49.6%Not measuredOnly DeepSeek V3 0324 measured
PostTrainBenchNot measured23.4%Only Grok 4.5 measured
Vending-Bench 2Not measured$3,887Only Grok 4.5 measured
LMArena SearchNot measured1216Only Grok 4.5 measured
Neither model has a result on the other 17 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for DeepSeek V3 0324 and Grok 4.5
BenchmarkDeepSeek V3 0324Grok 4.5Leader
GPQA Diamond61.6%92.9%Grok 4.5
LiveBench reasoningNot measured87.2%Only Grok 4.5 measured
MMMU Pro (Vals AI)Not measured61.8%Only Grok 4.5 measured
GPQA Diamond (Artificial Analysis run)65.5%93.1%Grok 4.5
Humanity's Last Exam (Artificial Analysis run)4.7%42.7%Grok 4.5
GPQA Diamond (Epoch AI run)67.6%93.4%Grok 4.5
ARC-AGINot measured87.2%Only Grok 4.5 measured
ARC-AGI-2Not measured52.6%Only Grok 4.5 measured
SimpleBench27.2%70.0%Grok 4.5
Chess puzzlesNot measured35.0%Only Grok 4.5 measured
LMArena Text: hard promptsNot measured1462Only Grok 4.5 measured
LMArena Text: expertNot measured1465Only Grok 4.5 measured
LMArena Text: hard prompts in EnglishNot measured1464Only Grok 4.5 measured
LMArena Vision: diagramsNot measured1304Only Grok 4.5 measured
LMArena Vision: homeworkNot measured1295Only Grok 4.5 measured
Kagi LLM BenchmarkNot measured83.5%Only Grok 4.5 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index01
Math benchmarks for DeepSeek V3 0324 and Grok 4.5
BenchmarkDeepSeek V3 0324Grok 4.5Leader
AIME52.2%Not measuredOnly DeepSeek V3 0324 measured
MATH 500 (Vals AI)88.6%Not measuredOnly DeepSeek V3 0324 measured
MGSM (Vals AI)91.7%Not measuredOnly DeepSeek V3 0324 measured
AA Math Index41.0Not measuredOnly DeepSeek V3 0324 measured
AIME 2025 (Artificial Analysis run)41.0%Not measuredOnly DeepSeek V3 0324 measured
OTIS Mock AIME37.8%97.8%Grok 4.5
FrontierMath, tiers 1 to 3Not measured57.2%Only Grok 4.5 measured
FrontierMath, tier 4Not measured24.4%Only Grok 4.5 measured
ProofBenchNot measured31.0%Only Grok 4.5 measured
MATH level 575.5%Not measuredOnly DeepSeek V3 0324 measured
LMArena Text: mathNot measured1460Only Grok 4.5 measured
LMArena Text: mathematical workNot measured1482Only Grok 4.5 measured
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for DeepSeek V3 0324 and Grok 4.5
BenchmarkDeepSeek V3 0324Grok 4.5Leader
MMLU Pro79.5%89.2%Grok 4.5
LegalBench (Vals AI)77.7%86.0%Grok 4.5
CorpFin (Vals AI)54.7%67.4%Grok 4.5
TaxEval (Vals AI)71.1%71.7%Grok 4.5
MortgageTax (Vals AI)Not measured61.8%Only Grok 4.5 measured
MedQA (Vals AI)82.0%Not measuredOnly DeepSeek V3 0324 measured
MedCode (Vals AI)Not measured43.3%Only Grok 4.5 measured
MMLU Pro (Artificial Analysis run)81.9%Not measuredOnly DeepSeek V3 0324 measured
SimpleQA VerifiedNot measured48.3%Only Grok 4.5 measured
LMArena Text: scienceNot measured1464Only Grok 4.5 measured
LMArena Text: medicine and healthcareNot measured1440Only Grok 4.5 measured
LMArena Text: legal and governmentNot measured1463Only Grok 4.5 measured
LMArena Text: business and financeNot measured1441Only Grok 4.5 measured
FACTS Benchmark SuiteNot measured50.2%Only Grok 4.5 measured
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for DeepSeek V3 0324 and Grok 4.5
BenchmarkDeepSeek V3 0324Grok 4.5Leader
Design Arena: websitesNot measured1281Only Grok 4.5 measured
Design Arena: UI componentsNot measured1280Only Grok 4.5 measured
Design Arena: game devNot measured1264Only Grok 4.5 measured
Design Arena: data vizNot measured1266Only Grok 4.5 measured
Design Arena: 3DNot measured1257Only Grok 4.5 measured
Design Arena: all code categoriesNot measured1275Only Grok 4.5 measured
Design Arena: SVGNot measured1215Only Grok 4.5 measured
Design Arena: ASCII artNot measured1256Only Grok 4.5 measured
LiveBench designNot measured78.1%Only Grok 4.5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index03
General benchmarks for DeepSeek V3 0324 and Grok 4.5
BenchmarkDeepSeek V3 0324Grok 4.5Leader
LiveBench data analysisNot measured73.0%Only Grok 4.5 measured
SAGE (Vals AI)Not measured35.0%Only Grok 4.5 measured
MedScribe (Vals AI)Not measured86.9%Only Grok 4.5 measured
Vals Multimodal IndexNot measured63.4%Only Grok 4.5 measured
IFBench41.0%Not measuredOnly DeepSeek V3 0324 measured
Long context reasoning (AA-LCR)40.7%79.3%Grok 4.5
DTBench64.8%96.5%Grok 4.5
LMCA15.5%45.2%Grok 4.5
Fiction.LiveBench50.0%Not measuredOnly DeepSeek V3 0324 measured
Creative writing (Lech Mazur)77.0%Not measuredOnly DeepSeek V3 0324 measured
Surface Evolver BenchNot measured74.4%Only Grok 4.5 measured
Furniture assemblyNot measured22.5%Only Grok 4.5 measured
LMArena TextNot measured1448Only Grok 4.5 measured
LMArena Text: instruction followingNot measured1445Only Grok 4.5 measured
LMArena Text: creative writingNot measured1442Only Grok 4.5 measured
LMArena VisionNot measured1287Only Grok 4.5 measured
LMArena Text: EnglishNot measured1453Only Grok 4.5 measured
LMArena Text: non-EnglishNot measured1440Only Grok 4.5 measured
LMArena Text: ChineseNot measured1495Only Grok 4.5 measured
LMArena Text: GermanNot measured1448Only Grok 4.5 measured
LMArena Text: JapaneseNot measured1430Only Grok 4.5 measured
LMArena Text: KoreanNot measured1406Only Grok 4.5 measured
LMArena Text: FrenchNot measured1457Only Grok 4.5 measured
LMArena Text: SpanishNot measured1451Only Grok 4.5 measured
LMArena Text: RussianNot measured1449Only Grok 4.5 measured
LMArena Text: PolishNot measured1432Only Grok 4.5 measured
LMArena Text: multi-turnNot measured1456Only Grok 4.5 measured
LMArena Text: longer queriesNot measured1462Only Grok 4.5 measured
LMArena Text: writing and languageNot measured1445Only Grok 4.5 measured
LMArena Text: entertainment and mediaNot measured1434Only Grok 4.5 measured
LMArena Vision: EnglishNot measured1285Only Grok 4.5 measured
LMArena Vision: ChineseNot measured1345Only Grok 4.5 measured
LMArena Vision: reading textNot measured1293Only Grok 4.5 measured
LMArena Vision: humorNot measured1276Only Grok 4.5 measured
LMArena Vision: creative writingNot measured1293Only Grok 4.5 measured
LMArena DocumentNot measured1452Only Grok 4.5 measured
Neither model has a result on the other 10 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V3 0324 and Grok 4.5
BenchmarkDeepSeek V3 0324Grok 4.5Leader
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 0324$0.0008Fits in one request
Grok 4.5$0.0050Fits in one request

DeepSeek V3 0324 costs less

Repository review

50K input + 3K output tokens

DeepSeek V3 0324$0.017Fits in one request
Grok 4.5$0.118Fits in one request

DeepSeek V3 0324 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3 0324$0.065Exceeds the context window
Grok 4.5$0.460Fits in one request

DeepSeek V3 0324 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 0324 and Grok 4.5
SpecificationDeepSeek V3 0324SpaceXAI Grok 4.5
MakerDeepSeekxAI
WeightsOpen weightsNo public weights listed
ReleasedMarch 24, 2025July 8, 2026
Context window164K500K
Input $/Mtok$0.27$2.00
Output $/Mtok$1.07$6.00
Coding indexNot benchmarked58.6
Independent measurements behind it06
Cost per solved taskNot computable$0.62
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3 0324 better than Grok 4.5 for coding?

Only Grok 4.5 has a coding score, 58.6 on the Vibe Coding Index; DeepSeek V3 0324 has none, so the two cannot be ranked on coding. Pick DeepSeek V3 0324 for output tokens 5.6x cheaper ($1.07 vs $6.00 per million).

Which is cheaper, DeepSeek V3 0324 or Grok 4.5?

DeepSeek V3 0324 costs $0.27 per million input tokens and $1.07 per million output tokens; Grok 4.5 costs $2.00 and $6.00. Cost per solved task is known for Grok 4.5 only.

Which has the bigger context window, DeepSeek V3 0324 or Grok 4.5?

Grok 4.5, with 500K tokens against 164K.

How many benchmarks is the DeepSeek V3 0324 vs Grok 4.5 comparison based on?

19 benchmarks have a result for both models as of October 22, 2026. DeepSeek V3 0324's coding index rests on 0 independent benchmarks and Grok 4.5's on 6. Where only one model has a result, the page says so instead of naming a winner.

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