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GPT-5.4 Mini vs Mistral Large 3 2512

GPT-5.4 Mini leads Mistral Large 3 2512 on the Artificial Analysis Intelligence Index, 24.1 to 9.3, and Mistral Large 3 2512 costs 3.0x less per output token ($1.50 vs $4.50 per million). Updated October 22, 2026; 17 benchmarks have a result for both.

GPT-5.4 MiniOpenAI
Coding
35.8
Overall
44.0
Output $/M
$4.50
14
Mistral Large 3 2512Mistral AI
Coding
No data
Overall
No data
Output $/M
$1.50
3
vs boards won of 17 shared

GPT-5.4 Mini or Mistral Large 3 2512: which to pick

Only GPT-5.4 Mini has a coding score, 35.8 on the Vibe Coding Index; Mistral Large 3 2512 has none, so the two cannot be ranked on coding.

Pick Mistral Large 3 2512 for output tokens 3.0x cheaper ($1.50 vs $4.50 per million) and work measured by CaseLaw (Vals AI) or CorpFin (Vals AI), where it leads.

Shared results
17
GPT-5.4 Mini only
72
Mistral Large 3 2512 only
11
Like-for-like categories
7 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
GPT-5.4 Mini 35.8 from 5 benchmarks, Mistral Large 3 2512 not benchmarked.
Widest category
Math, 52.7 points apart on average over 1 shared benchmark.
Widest single gap
AIME: GPT-5.4 Mini 95.6% against Mistral Large 3 2512 42.9%, 52.7 points apart on a 0 to 100 scale.
Output price
GPT-5.4 Mini $4.50 against Mistral Large 3 2512 $1.50 per million output tokens, 3.0x apart.
Context window
GPT-5.4 Mini takes 400K tokens, Mistral Large 3 2512 262K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGPT-5.4 MiniBarsMistral Large 3 2512Ties
Coding40
Intelligence10
Agentic work10
Reasoning20
Math10
Knowledge23
General30
All shared boards143
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for GPT-5.4 Mini and Mistral Large 3 2512
BenchmarkGPT-5.4 MiniMistral Large 3 2512Leader
LMArena WebDev1397Not measuredOnly GPT-5.4 Mini measured
AA Coding Index56.120.1GPT-5.4 Mini
LiveCodeBench (Vals AI)81.5%55.3%GPT-5.4 Mini
SWE-bench Verified (Vals AI)73.0%41.4%GPT-5.4 Mini
Terminal-Bench 4 (Vals AI)2.5%Not measuredOnly GPT-5.4 Mini measured
Vibe Code Bench (Vals AI)48.0%Not measuredOnly GPT-5.4 Mini measured
Code migration (Vals AI)12.9%Not measuredOnly GPT-5.4 Mini measured
ProgramBench (Vals AI)0.0%Not measuredOnly GPT-5.4 Mini measured
Terminal-Bench 2.1 (Vals AI)54.7%Not measuredOnly GPT-5.4 Mini measured
SciCode52.1%Not measuredOnly GPT-5.4 Mini measured
Terminal-Bench Hard (Artificial Analysis run)52.3%Not measuredOnly GPT-5.4 Mini measured
FrontierCode27.0%Not measuredOnly GPT-5.4 Mini measured
WeirdML60.3%Not measuredOnly GPT-5.4 Mini measured
ALE-Bench1188.6264.7GPT-5.4 Mini
LMArena Text: coding1438Not measuredOnly GPT-5.4 Mini measured
LMArena Text: software and IT1436Not measuredOnly GPT-5.4 Mini measured
LMArena WebDev: React1386Not measuredOnly GPT-5.4 Mini measured
LMArena WebDev: HTML1419Not measuredOnly GPT-5.4 Mini measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-5.4 Mini and Mistral Large 3 2512
BenchmarkGPT-5.4 MiniMistral Large 3 2512Leader
AA Intelligence Index24.19.3GPT-5.4 Mini
Epoch Capabilities Index148.7Not measuredOnly GPT-5.4 Mini measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GPT-5.4 Mini and Mistral Large 3 2512
BenchmarkGPT-5.4 MiniMistral Large 3 2512Leader
AA Agentic Index17.91.0GPT-5.4 Mini
Finance Agent (Vals AI)45.4%Not measuredOnly GPT-5.4 Mini measured
Tax Agent Bench (Vals AI)8.8%Not measuredOnly GPT-5.4 Mini measured
Legal Research Bench (Vals AI)12.5%Not measuredOnly GPT-5.4 Mini measured
Excel Modeling Benchmark (Vals AI)45.4%Not measuredOnly GPT-5.4 Mini measured
τ²-Bench Telecom83.3%Not measuredOnly GPT-5.4 Mini measured
DeepResearch Bench36.3%Not measuredOnly GPT-5.4 Mini measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for GPT-5.4 Mini and Mistral Large 3 2512
BenchmarkGPT-5.4 MiniMistral Large 3 2512Leader
GPQA Diamond83.1%68.4%GPT-5.4 Mini
MMMU Pro (Vals AI)79.3%66.2%GPT-5.4 Mini
GPQA Diamond (Artificial Analysis run)87.5%Not measuredOnly GPT-5.4 Mini measured
Humanity's Last Exam (Artificial Analysis run)28.1%Not measuredOnly GPT-5.4 Mini measured
GPQA Diamond (Epoch AI run)86.9%Not measuredOnly GPT-5.4 Mini measured
ARC-AGI63.7%Not measuredOnly GPT-5.4 Mini measured
ARC-AGI-218.9%Not measuredOnly GPT-5.4 Mini measured
Chess puzzles23.0%Not measuredOnly GPT-5.4 Mini measured
Mystery game puzzles11.0%Not measuredOnly GPT-5.4 Mini measured
LMArena Text: hard prompts1424Not measuredOnly GPT-5.4 Mini measured
LMArena Text: expert1435Not measuredOnly GPT-5.4 Mini measured
LMArena Text: hard prompts in English1420Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: diagrams1266Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: homework1285Not measuredOnly GPT-5.4 Mini measured
Kagi LLM Benchmark37.9%Not measuredOnly GPT-5.4 Mini measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index10
Math benchmarks for GPT-5.4 Mini and Mistral Large 3 2512
BenchmarkGPT-5.4 MiniMistral Large 3 2512Leader
AIME95.6%42.9%GPT-5.4 Mini
MGSM (Vals AI)Not measured85.4%Only Mistral Large 3 2512 measured
OTIS Mock AIME88.9%Not measuredOnly GPT-5.4 Mini measured
FrontierMath, tiers 1 to 351.2%Not measuredOnly GPT-5.4 Mini measured
FrontierMath, tier 49.8%Not measuredOnly GPT-5.4 Mini measured
ProofBench21.0%Not measuredOnly GPT-5.4 Mini measured
LMArena Text: math1418Not measuredOnly GPT-5.4 Mini measured
LMArena Text: mathematical work1429Not measuredOnly GPT-5.4 Mini measured
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index23
Knowledge benchmarks for GPT-5.4 Mini and Mistral Large 3 2512
BenchmarkGPT-5.4 MiniMistral Large 3 2512Leader
MMLU Pro84.5%79.8%GPT-5.4 Mini
LegalBench (Vals AI)Not measured79.1%Only Mistral Large 3 2512 measured
CaseLaw (Vals AI)51.7%61.4%Mistral Large 3 2512
CorpFin (Vals AI)60.9%61.0%Mistral Large 3 2512
TaxEval (Vals AI)71.2%73.1%Mistral Large 3 2512
MortgageTax (Vals AI)63.5%52.1%GPT-5.4 Mini
MedQA (Vals AI)Not measured82.2%Only Mistral Large 3 2512 measured
SimpleQA Verified29.4%Not measuredOnly GPT-5.4 Mini measured
LMArena Text: science1417Not measuredOnly GPT-5.4 Mini measured
LMArena Text: medicine and healthcare1395Not measuredOnly GPT-5.4 Mini measured
LMArena Text: legal and government1414Not measuredOnly GPT-5.4 Mini measured
LMArena Text: business and finance1418Not measuredOnly GPT-5.4 Mini measured
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GPT-5.4 Mini and Mistral Large 3 2512
BenchmarkGPT-5.4 MiniMistral Large 3 2512Leader
Design Arena: websitesNot measured1162Only Mistral Large 3 2512 measured
Design Arena: UI componentsNot measured1099Only Mistral Large 3 2512 measured
Design Arena: game devNot measured1080Only Mistral Large 3 2512 measured
Design Arena: data vizNot measured1136Only Mistral Large 3 2512 measured
Design Arena: 3DNot measured1099Only Mistral Large 3 2512 measured
Design Arena: all code categoriesNot measured1141Only Mistral Large 3 2512 measured
Design Arena: SVGNot measured992Only Mistral Large 3 2512 measured
Design Arena: ASCII artNot measured1069Only Mistral Large 3 2512 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index30
General benchmarks for GPT-5.4 Mini and Mistral Large 3 2512
BenchmarkGPT-5.4 MiniMistral Large 3 2512Leader
SAGE (Vals AI)50.8%24.6%GPT-5.4 Mini
Vals Multimodal Index54.2%Not measuredOnly GPT-5.4 Mini measured
IFBench73.3%Not measuredOnly GPT-5.4 Mini measured
Long context reasoning (AA-LCR)77.0%Not measuredOnly GPT-5.4 Mini measured
DTBench80.0%65.1%GPT-5.4 Mini
LMCA40.8%16.7%GPT-5.4 Mini
LMArena Text1412Not measuredOnly GPT-5.4 Mini measured
LMArena Text: instruction following1405Not measuredOnly GPT-5.4 Mini measured
LMArena Text: creative writing1370Not measuredOnly GPT-5.4 Mini measured
LMArena Vision1245Not measuredOnly GPT-5.4 Mini measured
LMArena Text: English1412Not measuredOnly GPT-5.4 Mini measured
LMArena Text: non-English1405Not measuredOnly GPT-5.4 Mini measured
LMArena Text: Chinese1446Not measuredOnly GPT-5.4 Mini measured
LMArena Text: German1408Not measuredOnly GPT-5.4 Mini measured
LMArena Text: Japanese1375Not measuredOnly GPT-5.4 Mini measured
LMArena Text: Korean1370Not measuredOnly GPT-5.4 Mini measured
LMArena Text: French1441Not measuredOnly GPT-5.4 Mini measured
LMArena Text: Spanish1405Not measuredOnly GPT-5.4 Mini measured
LMArena Text: Russian1417Not measuredOnly GPT-5.4 Mini measured
LMArena Text: Polish1415Not measuredOnly GPT-5.4 Mini measured
LMArena Text: multi-turn1429Not measuredOnly GPT-5.4 Mini measured
LMArena Text: longer queries1408Not measuredOnly GPT-5.4 Mini measured
LMArena Text: writing and language1393Not measuredOnly GPT-5.4 Mini measured
LMArena Text: entertainment and media1373Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: English1244Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: Chinese1286Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: reading text1253Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: humor1235Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: recognizing things1218Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: creative writing1222Not measuredOnly GPT-5.4 Mini measured
Neither model has a result on the other 16 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5.4 Mini and Mistral Large 3 2512
BenchmarkGPT-5.4 MiniMistral Large 3 2512Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

GPT-5.4 Mini$0.0030Fits in one request
Mistral Large 3 2512$0.0013Fits in one request

Mistral Large 3 2512 costs less

Repository review

50K input + 3K output tokens

GPT-5.4 Mini$0.051Fits in one request
Mistral Large 3 2512$0.029Fits in one request

Mistral Large 3 2512 costs less

Agent loop

200K input + 10K output tokens

GPT-5.4 Mini$0.195Fits in one request
Mistral Large 3 2512$0.115Fits in one request

Mistral Large 3 2512 costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of GPT-5.4 Mini and Mistral Large 3 2512
SpecificationOpenAI GPT-5.4 MiniMistral Large 3 2512
MakerOpenAIMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedMarch 17, 2026December 1, 2025
Context window400K262K
Input $/Mtok$0.75$0.50
Output $/Mtok$4.50$1.50
Coding index35.8Not benchmarked
Independent measurements behind it51
Cost per solved task$0.70$0.77
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.4 Mini better than Mistral Large 3 2512 for coding?

Only GPT-5.4 Mini has a coding score, 35.8 on the Vibe Coding Index; Mistral Large 3 2512 has none, so the two cannot be ranked on coding. Pick Mistral Large 3 2512 for output tokens 3.0x cheaper ($1.50 vs $4.50 per million) and work measured by CaseLaw (Vals AI) or CorpFin (Vals AI), where it leads.

Which is cheaper, GPT-5.4 Mini or Mistral Large 3 2512?

GPT-5.4 Mini costs $0.75 per million input tokens and $4.50 per million output tokens; Mistral Large 3 2512 costs $0.50 and $1.50. Per solved SWE-bench Verified task, GPT-5.4 Mini costs $0.70 and Mistral Large 3 2512 $0.77.

Which has the bigger context window, GPT-5.4 Mini or Mistral Large 3 2512?

GPT-5.4 Mini, with 400K tokens against 262K.

How many benchmarks is the GPT-5.4 Mini vs Mistral Large 3 2512 comparison based on?

17 benchmarks have a result for both models as of October 22, 2026. GPT-5.4 Mini's coding index rests on 5 independent benchmarks and Mistral Large 3 2512's on 1. Where only one model has a result, the page says so instead of naming a winner.

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