Compare / DeepSeek V3.1 Terminus vs Mistral Small 3.2 24B

DeepSeek V3.1 Terminus vs Mistral Small 3.2 24B

Which is cheaper, which is more capable, and which does better at each kind of work, from 20 results on 3 sources that measured both models.

DeepSeek V3.1 Terminus
DeepSeek · profile
Mistral Small 3.2 24B
Mistral · profile
Results compared
20
Shared sources
3

DeepSeek V3.1 Terminus or Mistral Small 3.2 24B? The short answer

  • Mistral Small 3.2 24B is cheaper: $0.13 against $0.45 per million tokens, 3.4 times less.
  • DeepSeek V3.1 Terminus scores higher on the Artificial Analysis Intelligence Index: 14.8 against 8.2.
  • On our business benchmarks, DeepSeek V3.1 Terminus ranks higher for agents and tool use, reasoning and knowledge and writing.

At a glance

DeepSeek V3.1 TerminusMistral Small 3.2 24B
Price per million tokens$0.27 in · $1.00 out$0.094 in · $0.25 out
Blended (3 in : 1 out)$0.45$0.13
Cheapest host, blended$0.45 (SiliconFlow, FP8)$0.11 (DeepInfra, FP8)
Intelligence Index14.88.2
Spring Prompt overall––
Output speed, tokens a second––
Context window163,840 tokens256,000 tokens
WeightsOpenOpen
Developer based inChinaFrance

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 V3.1 TerminusMistral Small 3.2 24B
Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls 84 of 161 118 of 161
Reasoning and knowledgeHard questions across science, maths and general knowledge 105 of 195 163 of 195
WritingWhat people prefer in blind comparisons, and judged writing quality 79 of 187 130 of 187

Every shared result

BenchmarkMetricDeepSeek V3.1 TerminusMistral Small 3.2 24B
Arena (formerly LMArena)reportedBusiness, management and financeArena rating 1,4231,363
Arena (formerly LMArena)reportedCreative writingArena rating 1,4051,323
Arena (formerly LMArena)reportedInstruction followingArena rating 1,4201,338
Arena (formerly LMArena)reportedOverallArena rating 1,4171,357
Arena (formerly LMArena)reportedWriting, literature and languageArena rating 1,4111,329
Artificial AnalysisreportedArtificial Analysis Coding Indexindex score 43.512.5
Artificial AnalysisreportedArtificial Analysis Intelligence Indexindex score 14.88.20
Artificial AnalysisreportedGPQA Diamond% of questions 79.2%50.5%
Artificial AnalysisreportedHumanity's Last Exam% of questions 16.4%4.3%
Artificial AnalysisreportedIFBench% of instructions 57.0%33.5%
Artificial AnalysisreportedLong-context reasoning (AA-LCR)% of questions 69.3%20.3%
Artificial AnalysisreportedSciCode% of problems 38.0%28.6%
Artificial AnalysisreportedTerminal-Bench 2.1% of tasks 44.9%5.6%
Artificial AnalysisreportedTerminal-Bench 4.0% of tasks 0.0%0.0%
Artificial AnalysisreportedTerminal-Bench Hard% of tasks 31.8%6.8%
Artificial AnalysisreportedΤ-bench banking% of tasks 21.0%6.2%
Artificial AnalysisreportedΤ²-bench telecom% of tasks 37.1%29.5%
UGI LeaderboardreportedRequested-length error% off the requested word count 32.0%17.0%
UGI LeaderboardreportedStyle adherencescore from 0 to 1 0.370.35
UGI LeaderboardreportedWriting scorescore out of 100 54.036.3

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 V3.1 Terminus better than Mistral Small 3.2 24B?

It depends on the task. Among models available today, on our benchmarks and licensed sources, DeepSeek V3.1 Terminus ranks higher for agents and tool use, reasoning and knowledge and writing.

Which is cheaper, DeepSeek V3.1 Terminus or Mistral Small 3.2 24B?

Mistral Small 3.2 24B costs $0.13 per million tokens (three input to one output), against $0.45 for DeepSeek V3.1 Terminus.

Run DeepSeek V3.1 Terminus and Mistral Small 3.2 24B on your own prompt

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