Compare / Mistral Large 4 vs GPT-5.4 nano

Mistral Large 4 vs GPT-5.4 nano

Which is cheaper, which is more capable, and which does better at each kind of work, from 10 results on 2 sources that measured both models.

Results as of 8 October 2026 (catalogue release 2026-10-08-4199ce0620fe).

Mistral Large 4
Mistral AI · profile
GPT-5.4 nano
OpenAI · profile
Results compared
10
Shared sources
2

Mistral Large 4 or GPT-5.4 nano? The short answer

Pick Mistral Large 4 if quality matters most: it scores higher (Intelligence Index 38.4 against 20.7). Pick GPT-5.4 nano if cost matters more: it costs 4.5 times less per token.

  • GPT-5.4 nano is cheaper: $0.46 against $2.06 per million tokens, 4.5 times less.
  • Mistral Large 4 scores higher on the Artificial Analysis Intelligence Index: 38.4 against 20.7.
  • Mistral Large 4 is newer: released 6 Oct 2026, against 17 Mar 2026 for GPT-5.4 nano.
  • On third-party benchmarks, on the results both models have: Mistral Large 4 does better for agents and tool use and reasoning and knowledge.

At a glance

Mistral Large 4GPT-5.4 nano
Price per million tokens$1.36 in · $4.18 out$0.20 in · $1.25 out
Blended (3 in : 1 out)$2.06$0.46
Cheapest host, blended–$0.46 (Azure)
Cached input, per million–$0.020 cached input
Intelligence Index38.420.7
Spring Prompt overall37–
Output speed, tokens a second106–
Context window524,288 tokens400,000 tokens
Released6 Oct 2026 (newer)17 Mar 2026
WeightsClosedClosed
Developer based inFrancethe 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 caseMistral Large 4GPT-5.4 nano
Product listingsTurning a sparse product feed and photos into listings that can go live 18 of 20 not measured
Decks from an analysisTurning a finished analysis into a deck you could present as it is 19 of 19 not measured
User surveysPlanning a user survey and reading its results without being misled 4 of 8 not measured
Marketing planningPlanning a year of ad spend without overspending 10 of 19 not measured
Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls 21 of 164 64 of 164
Reasoning and knowledgeHard questions across science, maths and general knowledge 44 of 198 89 of 198
WritingWhat people prefer in blind comparisons, and judged writing quality not measured 110 of 188
Sticking to the factsSummarising without inventing things, and factual answers not measured 89 of 152
Speed under pressureGood decisions against a real clock (fast chess) 13 of 22 18 of 22

From our research

Every shared result

Each model's best result on every measure both have, grouped by benchmark, with the setting that produced it. The headline measures of each benchmark come first; the rest are under "Show all". Green marks the better value; where a source reports ranges that overlap, neither is marked.

MeasureMistral Large 4GPT-5.4 nano
BulletBench measured by Spring Prompt · 3 results
Ladder Elo · Lightning 10+1ladder Elo, higher is better 249 197no reasoning
Cost per game · Lightning 10+1US dollars, lower is better $0.0117 $0.0025no reasoning
Games lost on time · Lightning 10+1% of games, lower is better 58.3% 75.0%no reasoning
Artificial Analysis reported by Artificial Analysis · 3 results
Artificial Analysis Intelligence Indexindex score, higher is better 38.4 20.7xhigh reasoning
Humanity's Last Exam% of questions, higher is better 35.0% 28.3%xhigh reasoning
Terminal-Bench 4.0% of tasks, higher is better 26.8% 0.5%xhigh reasoning
Show all 10 results (4 more)
MeasureMistral Large 4GPT-5.4 nano
BulletBench measured by Spring Prompt · 2 results
Invalid moves · Lightning 10+1% of moves, lower is better 1.8% 4.0%no reasoning
Median move time · Lightning 10+1milliseconds, lower is better 0.8 s 1.0 sno reasoning
Artificial Analysis reported by Artificial Analysis · 2 results
Long-context reasoning (AA-LCR)% of questions, higher is better 81.3% 76.7%xhigh reasoning
SciCode% of problems, higher is better 54.2% 47.2%xhigh reasoning

Quick answers

Is Mistral Large 4 better than GPT-5.4 nano?

Pick Mistral Large 4 if quality matters most: it scores higher (Intelligence Index 38.4 against 20.7). Pick GPT-5.4 nano if cost matters more: it costs 4.5 times less per token.

Which is cheaper, Mistral Large 4 or GPT-5.4 nano?

GPT-5.4 nano is cheaper: $0.46 against $2.06 per million tokens, 4.5 times less.

Run Mistral Large 4 and GPT-5.4 nano on your own prompt

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