Enter opens the highlighted result. Esc closes.

GPT-4.1 Mini vs Mistral Large 3 2512

GPT-4.1 Mini leads Mistral Large 3 2512 on the Artificial Analysis Intelligence Index, 10.2 to 9.3, at about the same output price ($1.60 vs $1.50 per million). Updated October 21, 2026; 21 benchmarks have a result for both.

Replace GPT-4.1 Mini Replace Mistral Large 3 2512
GPT-4.1 MiniOpenAI
Coding
No data
Overall
31.9
Output $/M
$1.60
10
Mistral Large 3 2512Mistral AI
Coding
No data
Overall
No data
Output $/M
$1.50
11
vs boards won of 21 shared

GPT-4.1 Mini or Mistral Large 3 2512: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick GPT-4.1 Mini for a larger context window (1.05M against 262K tokens) and work measured by GPQA Diamond or MMLU Pro, where it leads.

Model AGPT-4.1 MiniOpenAINot benchmarkedNo coding benchmark$1.818 per solved taskModel BMistral Large 3 2512Mistral AINot benchmarked1 independent benchmark$0.77 per solved task
Shared results
21
GPT-4.1 Mini only
65
Mistral Large 3 2512 only
7
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-4.1 Mini not benchmarked, Mistral Large 3 2512 not benchmarked.
Widest category
Web design, 17.3 points apart on average over 6 shared benchmarks.
Widest single gap
Design Arena: 3D: GPT-4.1 Mini 837 against Mistral Large 3 2512 1100, 32.9 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Mini $1.60 against Mistral Large 3 2512 $1.50 per million output tokens, 1.1x apart.
Context window
GPT-4.1 Mini takes 1.05M 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-4.1 MiniBarsMistral Large 3 2512Ties
Coding20
Intelligence10
Reasoning11
Math20
Knowledge24
Web design06
General20
All shared boards1011
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for GPT-4.1 Mini and Mistral Large 3 2512
BenchmarkGPT-4.1 MiniMistral Large 3 2512Leader
Aider polyglot32.4%Not measuredOnly GPT-4.1 Mini measured
SWE-bench Verified23.9%Not measuredOnly GPT-4.1 Mini measured
AA Coding Index20.220.1GPT-4.1 Mini
LiveCodeBench (Vals AI)58.2%55.3%GPT-4.1 Mini
SWE-bench Verified (Vals AI)Not measured41.4%Only Mistral Large 3 2512 measured
LiveCodeBench (Artificial Analysis run)48.3%Not measuredOnly GPT-4.1 Mini measured
Terminal-Bench Hard (Artificial Analysis run)7.6%Not measuredOnly GPT-4.1 Mini measured
WeirdML37.6%Not measuredOnly GPT-4.1 Mini measured
ALE-BenchNot measured264.7Only Mistral Large 3 2512 measured
LMArena Text: coding1367Not measuredOnly GPT-4.1 Mini measured
LMArena Text: software and IT1360Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-4.1 Mini and Mistral Large 3 2512
BenchmarkGPT-4.1 MiniMistral Large 3 2512Leader
AA Intelligence Index10.29.3GPT-4.1 Mini
Epoch Capabilities Index134.9Not measuredOnly GPT-4.1 Mini measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Agentic work benchmarks for GPT-4.1 Mini and Mistral Large 3 2512
BenchmarkGPT-4.1 MiniMistral Large 3 2512Leader
AA Agentic IndexNot measured1.0Only Mistral Large 3 2512 measured
τ²-Bench Telecom52.9%Not measuredOnly GPT-4.1 Mini measured
Berkeley Function Calling Leaderboard (BFCL)50.4%Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index11
Reasoning benchmarks for GPT-4.1 Mini and Mistral Large 3 2512
BenchmarkGPT-4.1 MiniMistral Large 3 2512Leader
GPQA Diamond67.9%68.4%Mistral Large 3 2512
MMMU Pro (Vals AI)70.5%66.2%GPT-4.1 Mini
GPQA Diamond (Artificial Analysis run)66.4%Not measuredOnly GPT-4.1 Mini measured
Humanity's Last Exam (Artificial Analysis run)5.0%Not measuredOnly GPT-4.1 Mini measured
GPQA Diamond (Epoch AI run)65.8%Not measuredOnly GPT-4.1 Mini measured
ARC-AGI3.5%Not measuredOnly GPT-4.1 Mini measured
ARC-AGI-20.0%Not measuredOnly GPT-4.1 Mini measured
Chess puzzles1.0%Not measuredOnly GPT-4.1 Mini measured
Mystery game puzzles7.0%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: hard prompts1349Not measuredOnly GPT-4.1 Mini measured
LMArena Text: expert1338Not measuredOnly GPT-4.1 Mini measured
LMArena Text: hard prompts in English1362Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: diagrams1182Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: homework1214Not measuredOnly GPT-4.1 Mini measured
Kagi LLM Benchmark48.6%Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GPT-4.1 Mini and Mistral Large 3 2512
BenchmarkGPT-4.1 MiniMistral Large 3 2512Leader
AIME49.4%42.9%GPT-4.1 Mini
MATH 500 (Vals AI)88.0%Not measuredOnly GPT-4.1 Mini measured
MGSM (Vals AI)87.8%85.4%GPT-4.1 Mini
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%Not measuredOnly GPT-4.1 Mini measured
FrontierMath, tiers 1 to 36.7%Not measuredOnly GPT-4.1 Mini measured
MATH level 587.3%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: math1343Not measuredOnly GPT-4.1 Mini measured
LMArena Text: mathematical work1347Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index24
Knowledge benchmarks for GPT-4.1 Mini and Mistral Large 3 2512
BenchmarkGPT-4.1 MiniMistral Large 3 2512Leader
MMLU Pro77.2%79.8%Mistral Large 3 2512
LegalBench (Vals AI)78.0%79.1%Mistral Large 3 2512
CaseLaw (Vals AI)Not measured61.4%Only Mistral Large 3 2512 measured
CorpFin (Vals AI)57.9%61.0%Mistral Large 3 2512
TaxEval (Vals AI)71.9%73.1%Mistral Large 3 2512
MortgageTax (Vals AI)65.5%52.1%GPT-4.1 Mini
MedQA (Vals AI)84.6%82.2%GPT-4.1 Mini
MMLU Pro (Artificial Analysis run)78.1%Not measuredOnly GPT-4.1 Mini measured
SimpleQA Verified12.7%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: science1328Not measuredOnly GPT-4.1 Mini measured
LMArena Text: medicine and healthcare1324Not measuredOnly GPT-4.1 Mini measured
LMArena Text: legal and government1343Not measuredOnly GPT-4.1 Mini measured
LMArena Text: business and finance1322Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 5 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 3 2512
BenchmarkGPT-4.1 MiniMistral Large 3 2512Leader
Design Arena: websites9971162Mistral Large 3 2512
Design Arena: UI components9611102Mistral Large 3 2512
Design Arena: game dev10711080Mistral Large 3 2512
Design Arena: data viz10341136Mistral Large 3 2512
Design Arena: 3D8371100Mistral Large 3 2512
Design Arena: all code categories9941142Mistral Large 3 2512
Design Arena: SVGNot measured993Only 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 index20
General benchmarks for GPT-4.1 Mini and Mistral Large 3 2512
BenchmarkGPT-4.1 MiniMistral Large 3 2512Leader
SAGE (Vals AI)Not measured24.6%Only Mistral Large 3 2512 measured
IFBench38.3%Not measuredOnly GPT-4.1 Mini measured
Long context reasoning (AA-LCR)44.0%Not measuredOnly GPT-4.1 Mini measured
DTBench68.8%65.1%GPT-4.1 Mini
LMCA21.1%16.7%GPT-4.1 Mini
Fiction.LiveBench44.4%Not measuredOnly GPT-4.1 Mini measured
LMArena Text1341Not measuredOnly GPT-4.1 Mini measured
LMArena Text: instruction following1333Not measuredOnly GPT-4.1 Mini measured
LMArena Text: creative writing1299Not measuredOnly GPT-4.1 Mini measured
LMArena Vision1181Not measuredOnly GPT-4.1 Mini measured
LMArena Text: English1356Not measuredOnly GPT-4.1 Mini measured
LMArena Text: non-English1318Not measuredOnly GPT-4.1 Mini measured
LMArena Text: Chinese1329Not measuredOnly GPT-4.1 Mini measured
LMArena Text: German1350Not measuredOnly GPT-4.1 Mini measured
LMArena Text: Japanese1290Not measuredOnly GPT-4.1 Mini measured
LMArena Text: Korean1298Not measuredOnly GPT-4.1 Mini measured
LMArena Text: French1358Not measuredOnly GPT-4.1 Mini measured
LMArena Text: Spanish1319Not measuredOnly GPT-4.1 Mini measured
LMArena Text: Russian1324Not measuredOnly GPT-4.1 Mini measured
LMArena Text: Polish1326Not measuredOnly GPT-4.1 Mini measured
LMArena Text: multi-turn1354Not measuredOnly GPT-4.1 Mini measured
LMArena Text: longer queries1344Not measuredOnly GPT-4.1 Mini measured
LMArena Text: writing and language1319Not measuredOnly GPT-4.1 Mini measured
LMArena Text: entertainment and media1300Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: English1191Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: Chinese1186Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: reading text1188Not measuredOnly GPT-4.1 Mini measured
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 15 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 3 2512
BenchmarkGPT-4.1 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-4.1 Mini$0.0012Fits in one request
Mistral Large 3 2512$0.0013Fits 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 3 2512$0.029Fits 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 3 2512$0.115Fits 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 3 2512
SpecificationOpenAI GPT-4.1 MiniMistral Large 3 2512
MakerOpenAIMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedApril 14, 2025December 1, 2025
Context window1.05M262K
Input $/Mtok$0.40$0.50
Output $/Mtok$1.60$1.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved task$1.818$0.77
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 Mini better than Mistral Large 3 2512 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4.1 Mini for a larger context window (1.05M against 262K tokens) and work measured by GPQA Diamond or MMLU Pro, where it leads.

Which is cheaper, GPT-4.1 Mini or Mistral Large 3 2512?

GPT-4.1 Mini costs $0.40 per million input tokens and $1.60 per million output tokens; Mistral Large 3 2512 costs $0.50 and $1.50. Per solved SWE-bench Verified task, GPT-4.1 Mini costs $1.818 and Mistral Large 3 2512 $0.77.

Which has the bigger context window, GPT-4.1 Mini or Mistral Large 3 2512?

GPT-4.1 Mini, with 1.05M tokens against 262K.

How many benchmarks is the GPT-4.1 Mini vs Mistral Large 3 2512 comparison based on?

21 benchmarks have a result for both models as of October 21, 2026. GPT-4.1 Mini's coding index rests on 0 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.

Compare next