Compare / DeepSeek V3 0324 vs Gemini 2.5 Pro

DeepSeek V3 0324 vs Gemini 2.5 Pro

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
Gemini 2.5 Pro
Google · profile
Results compared
21
Shared sources
3

DeepSeek V3 0324 or Gemini 2.5 Pro? The short answer

  • DeepSeek V3 0324 is cheaper: $0.44 against $3.44 per million tokens, 7.9 times less.
  • Gemini 2.5 Pro scores higher on the Artificial Analysis Intelligence Index: 16.1 against 9.7.
  • On our business benchmarks, Gemini 2.5 Pro ranks higher for agents and tool use, reasoning and knowledge and writing.

At a glance

DeepSeek V3 0324Gemini 2.5 Pro
Price per million tokens$0.25 in · $1.00 out$1.25 in · $10.00 out
Blended (3 in : 1 out)$0.44$3.44
Cheapest host, blended$0.44 (SiliconFlow, FP8)$1.72 (Google AI Studio)
Intelligence Index9.716.1
Spring Prompt overall––
Output speed, tokens a second––
Context window163,840 tokens1,048,576 tokens
WeightsOpenClosed
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 0324Gemini 2.5 Pro
Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls 138 of 161 109 of 161
Reasoning and knowledgeHard questions across science, maths and general knowledge 152 of 195 92 of 195
WritingWhat people prefer in blind comparisons, and judged writing quality 92 of 187 42 of 187
Sticking to the factsSummarising without inventing things, and factual answers not measured 38 of 153

Every shared result

BenchmarkMetricDeepSeek V3 0324Gemini 2.5 Pro
Arena (formerly LMArena)reportedBusiness, management and financeArena rating 1,3901,437
Arena (formerly LMArena)reportedCreative writingArena rating 1,3901,443
Arena (formerly LMArena)reportedExpert promptsArena rating 1,3981,458
Arena (formerly LMArena)reportedInstruction followingArena rating 1,3781,438
Arena (formerly LMArena)reportedOverallArena rating 1,3961,446
Arena (formerly LMArena)reportedWriting, literature and languageArena rating 1,3861,445
Artificial AnalysisreportedArtificial Analysis Coding Indexindex score 21.233.3
Artificial AnalysisreportedArtificial Analysis Intelligence Indexindex score 9.7016.1
Artificial AnalysisreportedGPQA Diamond% of questions 65.5%84.4%
Artificial AnalysisreportedHumanity's Last Exam% of questions 4.7%22.5%
Artificial AnalysisreportedIFBench% of instructions 41.0%48.7%
Artificial AnalysisreportedLong-context reasoning (AA-LCR)% of questions 40.7%69.0%
Artificial AnalysisreportedSciCode% of problems 39.0%46.3%
Artificial AnalysisreportedTerminal-Bench 2.1% of tasks 13.9%28.5%
Artificial AnalysisreportedTerminal-Bench 4.0% of tasks 0.0%0.0%
Artificial AnalysisreportedTerminal-Bench Hard% of tasks 15.2%26.5%
Artificial AnalysisreportedΤ-bench banking% of tasks 4.7%9.7%
Artificial AnalysisreportedΤ²-bench telecom% of tasks 47.1%54.1%
UGI LeaderboardreportedRequested-length error% off the requested word count 32.0%19.0%
UGI LeaderboardreportedStyle adherencescore from 0 to 1 0.350.40
UGI LeaderboardreportedWriting scorescore out of 100 49.165.2

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 Gemini 2.5 Pro?

It depends on the task. Among models available today, on our benchmarks and licensed sources, Gemini 2.5 Pro ranks higher for agents and tool use, reasoning and knowledge and writing.

Which is cheaper, DeepSeek V3 0324 or Gemini 2.5 Pro?

DeepSeek V3 0324 costs $0.44 per million tokens (three input to one output), against $3.44 for Gemini 2.5 Pro.

Run DeepSeek V3 0324 and Gemini 2.5 Pro on your own prompt

Benchmarks aren't your data. Try both side by side in the playground, with the cost of every answer.