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GPT-4.1 Mini vs Mistral Large 4

Updated October 21, 2026. 47 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-4.1 Mini Replace Mistral Large 4
GPT-4.1 MiniOpenAI
Coding
28.5
Overall
10.2
Output $/M
$1.60
0
Mistral Large 4Mistral AI
Coding
55.3
Overall
38.4
Output $/M
$4.18
47
vs boards won of 47 shared

Decision reading

Pick Mistral Large 4 for coding: it scores 55.3 on the Vibe Coding Index against 28.5 for GPT-4.1 Mini.

Pick GPT-4.1 Mini when output tokens cost 2.6x less.

Model AGPT-4.1 MiniOpenAI28.5/1002 independent benchmarks$1.818 per solved taskModel BMistral Large 4Mistral AI55.3/1002 independent benchmarksNo cost per solved task
Shared results
47
GPT-4.1 Mini only
37
Mistral Large 4 only
34
Like-for-like categories
7 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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-4.1 Mini 28.5 from 2 benchmarks, Mistral Large 4 55.3 from 2 benchmarks.
Widest category
Math, 36.4 points apart on average over 4 shared benchmarks.
Widest single gap
OTIS Mock AIME: GPT-4.1 Mini 44.7% against Mistral Large 4 98.3%, 53.6 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Mini $1.60 against Mistral Large 4 $4.18 per million output tokens, 2.6x apart.
Context window
GPT-4.1 Mini takes 1.05M tokens, Mistral Large 4 1.05M.

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-4.1 MiniBarsMistral Large 4Ties
Coding02
Intelligence02
Reasoning08
Math04
Knowledge05
Web design06
General020
All shared boards047
CodingLike-for-likeFour of these boards feed the Vibe Coding Index02
Coding benchmarks for GPT-4.1 Mini and Mistral Large 4
BenchmarkGPT-4.1 MiniMistral Large 4Leader
Aider polyglot32.4%Not measuredOnly GPT-4.1 Mini measured
SWE-bench Verified23.9%Not measuredOnly GPT-4.1 Mini measured
LiveBench codingNot measured60.0%Only Mistral Large 4 measured
LMArena WebDevNot measured1543Only Mistral Large 4 measured
AA Coding Index20.2Not measuredOnly GPT-4.1 Mini measured
LiveCodeBench (Vals AI)58.2%Not measuredOnly GPT-4.1 Mini measured
Terminal-Bench 4 (Vals AI)Not measured27.8%Only Mistral Large 4 measured
Vibe Code Bench (Vals AI)Not measured78.4%Only Mistral Large 4 measured
Code migration (Vals AI)Not measured30.6%Only Mistral Large 4 measured
IOI (Vals AI)Not measured45.3%Only Mistral Large 4 measured
SWE-bench Multimodal (Vals AI)Not measured33.1%Only Mistral Large 4 measured
Vibe Code Bench 1-100 (Vals AI)Not measured14.3%Only Mistral Large 4 measured
LiveCodeBench (Artificial Analysis run)48.3%Not measuredOnly GPT-4.1 Mini measured
SciCodeNot measured54.2%Only Mistral Large 4 measured
Terminal-Bench Hard (Artificial Analysis run)7.6%Not measuredOnly GPT-4.1 Mini measured
FrontierCodeNot measured39.4%Only Mistral Large 4 measured
WeirdML37.6%Not measuredOnly GPT-4.1 Mini measured
ALE-BenchNot measured1213.2Only Mistral Large 4 measured
LMArena Text: coding13671478Mistral Large 4
LMArena Text: software and IT13601467Mistral Large 4
LMArena WebDev: ReactNot measured1559Only Mistral Large 4 measured
LMArena WebDev: HTMLNot measured1487Only Mistral Large 4 measured
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-4.1 Mini and Mistral Large 4
BenchmarkGPT-4.1 MiniMistral Large 4Leader
AA Intelligence Index10.238.4Mistral Large 4
Epoch Capabilities Index134.9150.0Mistral Large 4
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Agentic work benchmarks for GPT-4.1 Mini and Mistral Large 4
BenchmarkGPT-4.1 MiniMistral Large 4Leader
LiveBench researchNot measured28.1%Only Mistral Large 4 measured
LiveBench browserNot measured8.0%Only Mistral Large 4 measured
LiveBench long agenticNot measured11.8%Only Mistral Large 4 measured
Finance Agent (Vals AI)Not measured54.7%Only Mistral Large 4 measured
Tax Agent Bench (Vals AI)Not measured30.4%Only Mistral Large 4 measured
Legal Research Bench (Vals AI)Not measured31.7%Only Mistral Large 4 measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured17.5%Only Mistral Large 4 measured
Excel Modeling Benchmark (Vals AI)Not measured56.2%Only Mistral Large 4 measured
BioMysteryBench (Vals AI)Not measured67.0%Only Mistral Large 4 measured
τ²-Bench Telecom52.9%Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index08
Reasoning benchmarks for GPT-4.1 Mini and Mistral Large 4
BenchmarkGPT-4.1 MiniMistral Large 4Leader
GPQA Diamond67.9%Not measuredOnly GPT-4.1 Mini measured
LiveBench reasoningNot measured83.9%Only Mistral Large 4 measured
MysteryMechanism (Vals AI)Not measured12.2%Only Mistral Large 4 measured
MMMU Pro (Vals AI)70.5%Not measuredOnly GPT-4.1 Mini measured
GPQA Diamond (Artificial Analysis run)66.4%Not measuredOnly GPT-4.1 Mini measured
Humanity's Last Exam (Artificial Analysis run)5.0%35.0%Mistral Large 4
GPQA Diamond (Epoch AI run)65.8%88.1%Mistral Large 4
ARC-AGI3.5%Not measuredOnly GPT-4.1 Mini measured
ARC-AGI-20.0%Not measuredOnly GPT-4.1 Mini measured
Chess puzzles1.0%33.0%Mistral Large 4
Mystery game puzzles7.0%17.0%Mistral Large 4
LMArena Text: hard prompts13491444Mistral Large 4
LMArena Text: expert13381444Mistral Large 4
LMArena Text: hard prompts in English13621442Mistral Large 4
LMArena Vision: diagrams11821288Mistral Large 4
LMArena Vision: homework1214Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for GPT-4.1 Mini and Mistral Large 4
BenchmarkGPT-4.1 MiniMistral Large 4Leader
AIME49.4%Not measuredOnly GPT-4.1 Mini measured
MATH 500 (Vals AI)88.0%Not measuredOnly GPT-4.1 Mini measured
MGSM (Vals AI)87.8%Not measuredOnly GPT-4.1 Mini measured
AA Math Index46.3Not measuredOnly GPT-4.1 Mini measured
AIME 2025 (Artificial Analysis run)46.3%Not measuredOnly GPT-4.1 Mini measured
OTIS Mock AIME44.7%98.3%Mistral Large 4
FrontierMath, tiers 1 to 36.7%58.6%Mistral Large 4
FrontierMath, tier 4Not measured26.8%Only Mistral Large 4 measured
ProofBenchNot measured10.0%Only Mistral Large 4 measured
MATH level 587.3%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: math13431469Mistral Large 4
LMArena Text: mathematical work13471462Mistral Large 4
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for GPT-4.1 Mini and Mistral Large 4
BenchmarkGPT-4.1 MiniMistral Large 4Leader
MMLU Pro77.2%Not measuredOnly GPT-4.1 Mini measured
LegalBench (Vals AI)78.0%Not measuredOnly GPT-4.1 Mini measured
CorpFin (Vals AI)57.9%Not measuredOnly GPT-4.1 Mini measured
TaxEval (Vals AI)71.9%Not measuredOnly GPT-4.1 Mini measured
MortgageTax (Vals AI)65.5%Not measuredOnly GPT-4.1 Mini measured
MedQA (Vals AI)84.6%Not measuredOnly GPT-4.1 Mini measured
MedCode (Vals AI)Not measured40.7%Only Mistral Large 4 measured
MMLU Pro (Artificial Analysis run)78.1%Not measuredOnly GPT-4.1 Mini measured
SimpleQA Verified12.7%20.0%Mistral Large 4
LMArena Text: science13281448Mistral Large 4
LMArena Text: medicine and healthcare13241433Mistral Large 4
LMArena Text: legal and government13431425Mistral Large 4
LMArena Text: business and finance13221439Mistral Large 4
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for GPT-4.1 Mini and Mistral Large 4
BenchmarkGPT-4.1 MiniMistral Large 4Leader
Design Arena: websites9971258Mistral Large 4
Design Arena: UI components9611275Mistral Large 4
Design Arena: game dev10711226Mistral Large 4
Design Arena: data viz10341274Mistral Large 4
Design Arena: 3D8371253Mistral Large 4
Design Arena: all code categories9941259Mistral Large 4
Design Arena: SVGNot measured1232Only Mistral Large 4 measured
Design Arena: ASCII artNot measured1203Only Mistral Large 4 measured
LiveBench designNot measured65.6%Only Mistral Large 4 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index020
General benchmarks for GPT-4.1 Mini and Mistral Large 4
BenchmarkGPT-4.1 MiniMistral Large 4Leader
LiveBench data analysisNot measured76.5%Only Mistral Large 4 measured
MedScribe (Vals AI)Not measured80.4%Only Mistral Large 4 measured
IFBench38.3%Not measuredOnly GPT-4.1 Mini measured
Long context reasoning (AA-LCR)44.0%81.3%Mistral Large 4
DTBench68.8%88.2%Mistral Large 4
LMCA21.1%35.8%Mistral Large 4
Fiction.LiveBench44.4%Not measuredOnly GPT-4.1 Mini measured
Surface Evolver BenchNot measured28.1%Only Mistral Large 4 measured
Furniture assemblyNot measured20.8%Only Mistral Large 4 measured
LMArena Text13411431Mistral Large 4
LMArena Text: instruction following13331422Mistral Large 4
LMArena Text: creative writing12991363Mistral Large 4
LMArena Vision11811272Mistral Large 4
LMArena Text: English13561433Mistral Large 4
LMArena Text: non-English13181422Mistral Large 4
LMArena Text: Chinese13291492Mistral Large 4
LMArena Text: German1350Not measuredOnly GPT-4.1 Mini measured
LMArena Text: Japanese12901415Mistral Large 4
LMArena Text: Korean1298Not measuredOnly GPT-4.1 Mini measured
LMArena Text: French13581492Mistral Large 4
LMArena Text: Spanish13191455Mistral Large 4
LMArena Text: Russian13241417Mistral Large 4
LMArena Text: Polish1326Not measuredOnly GPT-4.1 Mini measured
LMArena Text: multi-turn13541435Mistral Large 4
LMArena Text: longer queries13441428Mistral Large 4
LMArena Text: writing and language13191386Mistral Large 4
LMArena Text: entertainment and media13001378Mistral Large 4
LMArena Vision: English11911283Mistral Large 4
LMArena Vision: Chinese1186Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: reading text11881284Mistral Large 4
LMArena Vision: humor1182Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: captioning1174Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: recognizing things1187Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: creative writing1182Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4.1 Mini and Mistral Large 4
BenchmarkGPT-4.1 MiniMistral Large 4Leader
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-4.1 Mini$0.0012Fits in one request
Mistral Large 4$0.0034Fits in one request

GPT-4.1 Mini costs less

Repository review

50K input + 3K output tokens

GPT-4.1 Mini$0.025Fits in one request
Mistral Large 4$0.081Fits in one request

GPT-4.1 Mini costs less

Agent loop

200K input + 10K output tokens

GPT-4.1 Mini$0.096Fits in one request
Mistral Large 4$0.314Fits in one request

GPT-4.1 Mini 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-4.1 Mini and Mistral Large 4
SpecificationOpenAI GPT-4.1 MiniMistral Large 4
MakerOpenAIMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedApril 14, 2025October 6, 2026
Context window1.05M1.05M
Input $/Mtok$0.40$1.36
Output $/Mtok$1.60$4.18
Coding index28.555.3
Independent measurements behind it22
Cost per solved task$1.818Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 Mini better than Mistral Large 4 for coding?

Pick Mistral Large 4 for coding: it scores 55.3 on the Vibe Coding Index against 28.5 for GPT-4.1 Mini. Pick GPT-4.1 Mini when output tokens cost 2.6x less.

Which is cheaper, GPT-4.1 Mini or Mistral Large 4?

GPT-4.1 Mini costs $0.40 per million input tokens and $1.60 per million output tokens; Mistral Large 4 costs $1.36 and $4.18. Cost per solved task is known for GPT-4.1 Mini only.

Which has the bigger context window, GPT-4.1 Mini or Mistral Large 4?

Mistral Large 4, with 1.05M tokens against 1.05M.

How many benchmarks is the GPT-4.1 Mini vs Mistral Large 4 comparison based on?

47 benchmarks have a result for both models as of October 21, 2026. GPT-4.1 Mini's coding index rests on 2 independent benchmarks and Mistral Large 4's on 2. Where only one model has a result, the page says so instead of naming a winner.

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