Compare / DeepSeek V3 0324 vs Llama 4 Maverick

DeepSeek V3 0324 vs Llama 4 Maverick

Which is cheaper, which is more capable, and which does better at each kind of work, from 21 results on 3 sources that measured both models.

DeepSeek V3 0324
DeepSeek · profile
Llama 4 Maverick
Meta · profile
Results compared
21
Shared sources
3

DeepSeek V3 0324 or Llama 4 Maverick? The short answer

  • Llama 4 Maverick is cheaper: $0.42 against $0.44 per million tokens, 5% less.
  • They score about the same on the Artificial Analysis Intelligence Index (9.7 and 10.0).
  • On our business benchmarks, DeepSeek V3 0324 ranks higher for agents and tool use and writing.
  • On our business benchmarks, Llama 4 Maverick ranks higher for reasoning and knowledge.

At a glance

DeepSeek V3 0324Llama 4 Maverick
Price per million tokens$0.25 in · $1.00 out$0.27 in · $0.85 out
Blended (3 in : 1 out)$0.44$0.42
Cheapest host, blended$0.44 (SiliconFlow, FP8)$0.30 (DigitalOcean)
Intelligence Index9.710.0
Spring Prompt overall––
Output speed, tokens a second–42
Context window163,840 tokens1,048,576 tokens
WeightsOpenOpen
Developer based inChinathe US

Prices are the developer's list price where we have read it, otherwise the typical host on OpenRouter; see every model's price. Intelligence and speed from Artificial Analysis.

Which is better for what

Each model's rank among models available today, for each kind of work, from our own benchmarks and licensed sources. The better rank is in green.

Use caseDeepSeek V3 0324Llama 4 Maverick
Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls 138 of 161 141 of 161
Reasoning and knowledgeHard questions across science, maths and general knowledge 152 of 195 146 of 195
WritingWhat people prefer in blind comparisons, and judged writing quality 92 of 187 166 of 187

Every shared result

BenchmarkMetricDeepSeek V3 0324Llama 4 Maverick
Arena (formerly LMArena)reportedBusiness, management and financeArena rating 1,3901,317
Arena (formerly LMArena)reportedCreative writingArena rating 1,3901,307
Arena (formerly LMArena)reportedExpert promptsArena rating 1,3981,326
Arena (formerly LMArena)reportedInstruction followingArena rating 1,3781,314
Arena (formerly LMArena)reportedOverallArena rating 1,3961,327
Arena (formerly LMArena)reportedWriting, literature and languageArena rating 1,3861,312
Artificial AnalysisreportedArtificial Analysis Coding Indexindex score 21.216.3
Artificial AnalysisreportedArtificial Analysis Intelligence Indexindex score 9.7010.0
Artificial AnalysisreportedGPQA Diamond% of questions 65.5%67.1%
Artificial AnalysisreportedHumanity's Last Exam% of questions 4.7%4.9%
Artificial AnalysisreportedIFBench% of instructions 41.0%43.0%
Artificial AnalysisreportedLong-context reasoning (AA-LCR)% of questions 40.7%50.0%
Artificial AnalysisreportedSciCode% of problems 39.0%31.7%
Artificial AnalysisreportedTerminal-Bench 2.1% of tasks 13.9%7.9%
Artificial AnalysisreportedTerminal-Bench 4.0% of tasks 0.0%0.0%
Artificial AnalysisreportedTerminal-Bench Hard% of tasks 15.2%6.8%
Artificial AnalysisreportedΤ-bench banking% of tasks 4.7%3.7%
Artificial AnalysisreportedΤ²-bench telecom% of tasks 47.1%17.8%
UGI LeaderboardreportedRequested-length error% off the requested word count 32.0%13.0%
UGI LeaderboardreportedStyle adherencescore from 0 to 1 0.350.37
UGI LeaderboardreportedWriting scorescore out of 100 49.124.0

Bold green marks the better value on that metric. Where a source reports ranges that overlap, the difference may not be meaningful; see the benchmark page for ranges.

Quick answers

Is DeepSeek V3 0324 better than Llama 4 Maverick?

It depends on the task. Among models available today, on our benchmarks and licensed sources, DeepSeek V3 0324 ranks higher for agents and tool use and writing; Llama 4 Maverick ranks higher for reasoning and knowledge.

Which is cheaper, DeepSeek V3 0324 or Llama 4 Maverick?

Llama 4 Maverick costs $0.42 per million tokens (three input to one output), against $0.44 for DeepSeek V3 0324.

Run DeepSeek V3 0324 and Llama 4 Maverick on your own prompt

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