Enter opens the highlighted result. Esc closes.

GPT-4.1 Mini vs Mistral Large

Updated October 21, 2026. 43 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
GPT-4.1 MiniOpenAI
Coding
No data
Overall
10.2
Output $/M
$1.60
43
Mistral LargeMistral AI
Coding
No data
Overall
5.8
Output $/M
$6.00
0
vs boards won of 43 shared

Decision reading

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

GPT-4.1 Mini has the edge where output tokens cost 3.8x less, and where the context window is larger, 1.05M against 128K tokens.

Model AGPT-4.1 MiniOpenAINot benchmarkedNo coding benchmark$1.818 per solved taskModel BMistral LargeMistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
43
GPT-4.1 Mini only
41
Mistral Large only
1
Like-for-like categories
6 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 not benchmarked, Mistral Large not benchmarked.
Widest category
Coding, 20.3 points apart on average over 4 shared benchmarks.
Widest single gap
AIME: GPT-4.1 Mini 49.4% against Mistral Large 9.2%, 40.2 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Mini $1.60 against Mistral Large $6.00 per million output tokens, 3.8x apart.
Context window
GPT-4.1 Mini takes 1.05M tokens, Mistral Large 128K.

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 LargeTies
Coding40
Intelligence20
Reasoning60
Math50
Knowledge80
General180
All shared boards430
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for GPT-4.1 Mini and Mistral Large
BenchmarkGPT-4.1 MiniMistral LargeLeader
Aider polyglot32.4%Not measuredOnly GPT-4.1 Mini measured
SWE-bench Verified23.9%Not measuredOnly GPT-4.1 Mini measured
AA Coding Index20.2Not measuredOnly GPT-4.1 Mini measured
LiveCodeBench (Vals AI)58.2%37.1%GPT-4.1 Mini
LiveCodeBench (Artificial Analysis run)48.3%17.8%GPT-4.1 Mini
Terminal-Bench Hard (Artificial Analysis run)7.6%Not measuredOnly GPT-4.1 Mini measured
WeirdML37.6%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: coding13671275GPT-4.1 Mini
LMArena Text: software and IT13601274GPT-4.1 Mini
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-4.1 Mini and Mistral Large
BenchmarkGPT-4.1 MiniMistral LargeLeader
AA Intelligence Index10.25.8GPT-4.1 Mini
Epoch Capabilities Index134.9122.1GPT-4.1 Mini
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for GPT-4.1 Mini and Mistral Large
BenchmarkGPT-4.1 MiniMistral LargeLeader
τ²-Bench Telecom52.9%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 index60
Reasoning benchmarks for GPT-4.1 Mini and Mistral Large
BenchmarkGPT-4.1 MiniMistral LargeLeader
GPQA Diamond67.9%47.7%GPT-4.1 Mini
MMMU Pro (Vals AI)70.5%Not measuredOnly GPT-4.1 Mini measured
GPQA Diamond (Artificial Analysis run)66.4%35.1%GPT-4.1 Mini
Humanity's Last Exam (Artificial Analysis run)5.0%3.5%GPT-4.1 Mini
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 prompts13491257GPT-4.1 Mini
LMArena Text: expert13381208GPT-4.1 Mini
LMArena Text: hard prompts in English13621268GPT-4.1 Mini
LMArena Vision: diagrams1182Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: homework1214Not 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 index50
Math benchmarks for GPT-4.1 Mini and Mistral Large
BenchmarkGPT-4.1 MiniMistral LargeLeader
AIME49.4%9.2%GPT-4.1 Mini
MATH 500 (Vals AI)88.0%74.4%GPT-4.1 Mini
MGSM (Vals AI)87.8%87.2%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: math13431261GPT-4.1 Mini
LMArena Text: mathematical work13471257GPT-4.1 Mini
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index80
Knowledge benchmarks for GPT-4.1 Mini and Mistral Large
BenchmarkGPT-4.1 MiniMistral LargeLeader
MMLU Pro77.2%69.7%GPT-4.1 Mini
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%63.8%GPT-4.1 Mini
MortgageTax (Vals AI)65.5%Not measuredOnly GPT-4.1 Mini measured
MedQA (Vals AI)84.6%76.2%GPT-4.1 Mini
MMLU Pro (Artificial Analysis run)78.1%51.5%GPT-4.1 Mini
SimpleQA Verified12.7%Not measuredOnly GPT-4.1 Mini measured
MMLUNot measured68.8%Only Mistral Large measured
LMArena Text: science13281260GPT-4.1 Mini
LMArena Text: medicine and healthcare13241255GPT-4.1 Mini
LMArena Text: legal and government13431275GPT-4.1 Mini
LMArena Text: business and finance13221238GPT-4.1 Mini
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for GPT-4.1 Mini and Mistral Large
BenchmarkGPT-4.1 MiniMistral LargeLeader
Design Arena: websites997Not measuredOnly GPT-4.1 Mini measured
Design Arena: UI components961Not measuredOnly GPT-4.1 Mini measured
Design Arena: game dev1071Not measuredOnly GPT-4.1 Mini measured
Design Arena: data viz1034Not measuredOnly GPT-4.1 Mini measured
Design Arena: 3D837Not measuredOnly GPT-4.1 Mini measured
Design Arena: all code categories994Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index180
General benchmarks for GPT-4.1 Mini and Mistral Large
BenchmarkGPT-4.1 MiniMistral LargeLeader
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%60.8%GPT-4.1 Mini
LMCA21.1%Not measuredOnly GPT-4.1 Mini measured
Fiction.LiveBench44.4%Not measuredOnly GPT-4.1 Mini measured
LMArena Text13411265GPT-4.1 Mini
LMArena Text: instruction following13331249GPT-4.1 Mini
LMArena Text: creative writing12991242GPT-4.1 Mini
LMArena Vision1181Not measuredOnly GPT-4.1 Mini measured
LMArena Text: English13561284GPT-4.1 Mini
LMArena Text: non-English13181235GPT-4.1 Mini
LMArena Text: Chinese13291239GPT-4.1 Mini
LMArena Text: German13501242GPT-4.1 Mini
LMArena Text: Japanese12901170GPT-4.1 Mini
LMArena Text: Korean12981202GPT-4.1 Mini
LMArena Text: French13581325GPT-4.1 Mini
LMArena Text: Spanish13191268GPT-4.1 Mini
LMArena Text: Russian13241252GPT-4.1 Mini
LMArena Text: Polish13261157GPT-4.1 Mini
LMArena Text: multi-turn13541260GPT-4.1 Mini
LMArena Text: longer queries13441261GPT-4.1 Mini
LMArena Text: writing and language13191261GPT-4.1 Mini
LMArena Text: entertainment and media13001230GPT-4.1 Mini
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 16 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
BenchmarkGPT-4.1 MiniMistral LargeLeader
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$0.0050Fits 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$0.118Fits 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$0.460Exceeds the context window

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
SpecificationOpenAI GPT-4.1 MiniMistral Large
MakerOpenAIMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedApril 14, 2025February 26, 2024
Context window1.05M128K
Input $/Mtok$0.40$2.00
Output $/Mtok$1.60$6.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved task$1.818Not computable
SourceOpenRouter listingOpenRouter listing

Questions

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

Neither model has a coding score yet, so the two cannot be ranked on coding. GPT-4.1 Mini has the edge where output tokens cost 3.8x less, and where the context window is larger, 1.05M against 128K tokens.

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

GPT-4.1 Mini costs $0.40 per million input tokens and $1.60 per million output tokens; Mistral Large costs $2.00 and $6.00. 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?

GPT-4.1 Mini, with 1.05M tokens against 128K.

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

43 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's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next