Enter opens the highlighted result. Esc closes.

GPT-4.1 Mini vs Mistral Medium 3.1

GPT-4.1 Mini leads Mistral Medium 3.1 on the Artificial Analysis Intelligence Index, 10.2 to 9.2, and GPT-4.1 Mini costs 1.3x less per output token ($1.60 vs $2.00 per million). Updated October 21, 2026; 69 benchmarks have a result for both.

Replace GPT-4.1 Mini Replace Mistral Medium 3.1
GPT-4.1 MiniOpenAI
Coding
No data
Overall
10.2
Output $/M
$1.60
29
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
9.2
Output $/M
$2.00
40
vs boards won of 69 shared

GPT-4.1 Mini or Mistral Medium 3.1: which to pick

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

Pick GPT-4.1 Mini for output tokens 1.3x cheaper ($1.60 vs $2.00 per million) and a larger context window (1.05M against 131K tokens).

Model AGPT-4.1 MiniOpenAINot benchmarkedNo coding benchmark$1.818 per solved taskModel BMistral Medium 3.1Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
69
GPT-4.1 Mini only
15
Mistral Medium 3.1 only
5
Like-for-like categories
8 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 Medium 3.1 not benchmarked.
Widest category
Web design, 15.8 points apart on average over 6 shared benchmarks.
Widest single gap
Design Arena: 3D: GPT-4.1 Mini 837 against Mistral Medium 3.1 1081, 30.5 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Mini $1.60 against Mistral Medium 3.1 $2.00 per million output tokens, 1.3x apart.
Context window
GPT-4.1 Mini takes 1.05M tokens, Mistral Medium 3.1 131K.

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 Medium 3.1Ties
Coding24
Intelligence10
Agentic work10
Reasoning53
Math43
Knowledge74
Web design06
General920
All shared boards2940
CodingLike-for-likeSix of these boards feed the Vibe Coding Index24
Coding benchmarks for GPT-4.1 Mini and Mistral Medium 3.1
BenchmarkGPT-4.1 MiniMistral Medium 3.1Leader
Aider polyglot32.4%Not measuredOnly GPT-4.1 Mini measured
SWE-bench Verified23.9%Not measuredOnly GPT-4.1 Mini measured
AA Coding Index20.220.5Mistral Medium 3.1
LiveCodeBench (Vals AI)58.2%44.8%GPT-4.1 Mini
LiveCodeBench (Artificial Analysis run)48.3%40.6%GPT-4.1 Mini
SciCodeNot measured32.4%Only Mistral Medium 3.1 measured
Terminal-Bench Hard (Artificial Analysis run)7.6%10.6%Mistral Medium 3.1
WeirdML37.6%Not measuredOnly GPT-4.1 Mini measured
ALE-BenchNot measured210.2Only Mistral Medium 3.1 measured
LMArena Text: coding13671433Mistral Medium 3.1
LMArena Text: software and IT13601436Mistral Medium 3.1
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-4.1 Mini and Mistral Medium 3.1
BenchmarkGPT-4.1 MiniMistral Medium 3.1Leader
AA Intelligence Index10.29.2GPT-4.1 Mini
Epoch Capabilities Index134.9Not measuredOnly GPT-4.1 Mini measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GPT-4.1 Mini and Mistral Medium 3.1
BenchmarkGPT-4.1 MiniMistral Medium 3.1Leader
AA Agentic IndexNot measured1.9Only Mistral Medium 3.1 measured
τ²-Bench Telecom52.9%40.6%GPT-4.1 Mini
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index53
Reasoning benchmarks for GPT-4.1 Mini and Mistral Medium 3.1
BenchmarkGPT-4.1 MiniMistral Medium 3.1Leader
GPQA Diamond67.9%Not measuredOnly GPT-4.1 Mini measured
MMMU Pro (Vals AI)70.5%63.0%GPT-4.1 Mini
GPQA Diamond (Artificial Analysis run)66.4%58.8%GPT-4.1 Mini
Humanity's Last Exam (Artificial Analysis run)5.0%4.7%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 prompts13491426Mistral Medium 3.1
LMArena Text: expert13381408Mistral Medium 3.1
LMArena Text: hard prompts in English13621435Mistral Medium 3.1
LMArena Vision: diagrams11821175GPT-4.1 Mini
LMArena Vision: homework12141165GPT-4.1 Mini
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index43
Math benchmarks for GPT-4.1 Mini and Mistral Medium 3.1
BenchmarkGPT-4.1 MiniMistral Medium 3.1Leader
AIME49.4%42.3%GPT-4.1 Mini
MATH 500 (Vals AI)88.0%87.0%GPT-4.1 Mini
MGSM (Vals AI)87.8%90.9%Mistral Medium 3.1
AA Math Index46.338.3GPT-4.1 Mini
AIME 2025 (Artificial Analysis run)46.3%38.3%GPT-4.1 Mini
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: math13431408Mistral Medium 3.1
LMArena Text: mathematical work13471412Mistral Medium 3.1
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index74
Knowledge benchmarks for GPT-4.1 Mini and Mistral Medium 3.1
BenchmarkGPT-4.1 MiniMistral Medium 3.1Leader
MMLU Pro77.2%75.3%GPT-4.1 Mini
LegalBench (Vals AI)78.0%62.0%GPT-4.1 Mini
CorpFin (Vals AI)57.9%50.7%GPT-4.1 Mini
TaxEval (Vals AI)71.9%70.3%GPT-4.1 Mini
MortgageTax (Vals AI)65.5%36.5%GPT-4.1 Mini
MedQA (Vals AI)84.6%78.2%GPT-4.1 Mini
MMLU Pro (Artificial Analysis run)78.1%68.3%GPT-4.1 Mini
SimpleQA Verified12.7%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: science13281444Mistral Medium 3.1
LMArena Text: medicine and healthcare13241449Mistral Medium 3.1
LMArena Text: legal and government13431439Mistral Medium 3.1
LMArena Text: business and finance13221418Mistral Medium 3.1
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 Medium 3.1
BenchmarkGPT-4.1 MiniMistral Medium 3.1Leader
Design Arena: websites9971133Mistral Medium 3.1
Design Arena: UI components9611100Mistral Medium 3.1
Design Arena: game dev10711074Mistral Medium 3.1
Design Arena: data viz10341144Mistral Medium 3.1
Design Arena: 3D8371081Mistral Medium 3.1
Design Arena: all code categories9941120Mistral Medium 3.1
Design Arena: SVGNot measured993Only Mistral Medium 3.1 measured
Design Arena: ASCII artNot measured997Only Mistral Medium 3.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index920
General benchmarks for GPT-4.1 Mini and Mistral Medium 3.1
BenchmarkGPT-4.1 MiniMistral Medium 3.1Leader
IFBench38.3%39.8%Mistral Medium 3.1
Long context reasoning (AA-LCR)44.0%42.7%GPT-4.1 Mini
DTBench68.8%67.5%GPT-4.1 Mini
LMCA21.1%19.1%GPT-4.1 Mini
Fiction.LiveBench44.4%Not measuredOnly GPT-4.1 Mini measured
LMArena Text13411424Mistral Medium 3.1
LMArena Text: instruction following13331398Mistral Medium 3.1
LMArena Text: creative writing12991391Mistral Medium 3.1
LMArena Vision11811172GPT-4.1 Mini
LMArena Text: English13561438Mistral Medium 3.1
LMArena Text: non-English13181408Mistral Medium 3.1
LMArena Text: Chinese13291447Mistral Medium 3.1
LMArena Text: German13501432Mistral Medium 3.1
LMArena Text: Japanese12901379Mistral Medium 3.1
LMArena Text: Korean12981380Mistral Medium 3.1
LMArena Text: French13581460Mistral Medium 3.1
LMArena Text: Spanish13191433Mistral Medium 3.1
LMArena Text: Russian13241411Mistral Medium 3.1
LMArena Text: Polish13261430Mistral Medium 3.1
LMArena Text: multi-turn13541418Mistral Medium 3.1
LMArena Text: longer queries13441406Mistral Medium 3.1
LMArena Text: writing and language13191395Mistral Medium 3.1
LMArena Text: entertainment and media13001390Mistral Medium 3.1
LMArena Vision: English11911179GPT-4.1 Mini
LMArena Vision: Chinese11861190Mistral Medium 3.1
LMArena Vision: reading text11881175GPT-4.1 Mini
LMArena Vision: humor11821168GPT-4.1 Mini
LMArena Vision: captioning11741145GPT-4.1 Mini
LMArena Vision: recognizing things11871147GPT-4.1 Mini
LMArena Vision: creative writing11821200Mistral Medium 3.1
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 Medium 3.1
BenchmarkGPT-4.1 MiniMistral Medium 3.1Leader
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 Medium 3.1$0.0014Fits 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 Medium 3.1$0.026Fits 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 Medium 3.1$0.100Exceeds 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 Medium 3.1
SpecificationOpenAI GPT-4.1 MiniMistral Medium 3.1
MakerOpenAIMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedApril 14, 2025August 13, 2025
Context window1.05M131K
Input $/Mtok$0.40$0.40
Output $/Mtok$1.60$2.00
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 Medium 3.1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4.1 Mini for output tokens 1.3x cheaper ($1.60 vs $2.00 per million) and a larger context window (1.05M against 131K tokens).

Which is cheaper, GPT-4.1 Mini or Mistral Medium 3.1?

GPT-4.1 Mini costs $0.40 per million input tokens and $1.60 per million output tokens; Mistral Medium 3.1 costs $0.40 and $2.00. Cost per solved task is known for GPT-4.1 Mini only.

Which has the bigger context window, GPT-4.1 Mini or Mistral Medium 3.1?

GPT-4.1 Mini, with 1.05M tokens against 131K.

How many benchmarks is the GPT-4.1 Mini vs Mistral Medium 3.1 comparison based on?

69 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 Medium 3.1's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next