Compare / Qwen3 32B vs Ministral 3 14B 2512

Qwen3 32B vs Ministral 3 14B 2512

Which is cheaper, which is more capable, and which does better at each kind of work, from 17 results on 3 sources that measured both models.

Qwen3 32B
Alibaba · profile
Ministral 3 14B 2512
Mistral · profile
Results compared
17
Shared sources
3

Qwen3 32B or Ministral 3 14B 2512? The short answer

  • Ministral 3 14B 2512 is cheaper: $0.20 against $0.21 per million tokens, 2% less.
  • Qwen3 32B scores higher on the Artificial Analysis Intelligence Index: 8.6 against 6.0.
  • On our business benchmarks, Qwen3 32B ranks higher for agents and tool use, reasoning and knowledge, writing and sticking to the facts.

At a glance

Qwen3 32BMinistral 3 14B 2512
Price per million tokens$0.14 in · $0.40 out$0.20 in · $0.20 out
Blended (3 in : 1 out)$0.21$0.20
Cheapest host, blended$0.13 (DeepInfra, FP8)$0.20 (Mistral)
Intelligence Index8.66.0
Spring Prompt overall––
Output speed, tokens a second–91
Context window131,072 tokens262,144 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 caseQwen3 32BMinistral 3 14B 2512
Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls 111 of 161 128 of 161
Reasoning and knowledgeHard questions across science, maths and general knowledge 145 of 195 167 of 195
WritingWhat people prefer in blind comparisons, and judged writing quality 137 of 187 143 of 187
Sticking to the factsSummarising without inventing things, and factual answers 23 of 153 146 of 153

Every shared result

BenchmarkMetricQwen3 32BMinistral 3 14B 2512
Artificial AnalysisreportedArtificial Analysis Coding Indexindex score 15.314.4
Artificial AnalysisreportedArtificial Analysis Intelligence Indexindex score 8.606.00
Artificial AnalysisreportedGPQA Diamond% of questions 66.8%57.2%
Artificial AnalysisreportedHumanity's Last Exam% of questions 7.4%4.6%
Artificial AnalysisreportedIFBench% of instructions 36.3%32.0%
Artificial AnalysisreportedLong-context reasoning (AA-LCR)% of questions 0.0%26.3%
Artificial AnalysisreportedSciCode% of problems 36.0%23.8%
Artificial AnalysisreportedTerminal-Bench 2.1% of tasks 5.2%9.7%
Artificial AnalysisreportedTerminal-Bench 4.0% of tasks 0.0%0.0%
Artificial AnalysisreportedTerminal-Bench Hard% of tasks 3.0%4.5%
Artificial AnalysisreportedΤ-bench banking% of tasks 5.4%6.6%
Artificial AnalysisreportedΤ²-bench telecom% of tasks 29.8%27.2%
UGI LeaderboardreportedRequested-length error% off the requested word count 19.0%24.0%
UGI LeaderboardreportedStyle adherencescore from 0 to 1 0.320.32
UGI LeaderboardreportedWriting scorescore out of 100 33.031.4
Vectara Hallucination LeaderboardreportedAnswer rate% of documents 99.9%99.6%
Vectara Hallucination LeaderboardreportedHallucination rate% of summaries 5.9%19.4%

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 Qwen3 32B better than Ministral 3 14B 2512?

It depends on the task. Among models available today, on our benchmarks and licensed sources, Qwen3 32B ranks higher for agents and tool use, reasoning and knowledge, writing and sticking to the facts.

Which is cheaper, Qwen3 32B or Ministral 3 14B 2512?

Ministral 3 14B 2512 costs $0.20 per million tokens (three input to one output), against $0.21 for Qwen3 32B.

Run Qwen3 32B and Ministral 3 14B 2512 on your own prompt

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