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GPT-4.1 Mini vs Mistral Medium 3.5

Updated October 21, 2026. 57 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 Medium 3.5
GPT-4.1 MiniOpenAI
Coding
28.5
Overall
10.2
Output $/M
$1.60
4
Mistral Medium 3.5Mistral AI
Coding
9.2
Overall
14.2
Output $/M
$7.50
53
vs boards won of 57 shared

Decision reading

Pick GPT-4.1 Mini for coding: it scores 28.5 on the Vibe Coding Index against 9.2 for Mistral Medium 3.5.

Pick Mistral Medium 3.5 when what matters is AA Coding Index or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Model AGPT-4.1 MiniOpenAI28.5/1002 independent benchmarks$1.818 per solved taskModel BMistral Medium 3.5Mistral AI9.2/1001 independent benchmark$6.02 per solved task
Shared results
57
GPT-4.1 Mini only
27
Mistral Medium 3.5 only
23
Like-for-like categories
8 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 Medium 3.5 9.2 from 1 benchmark.
Widest category
Agentic work, 41.2 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GPT-4.1 Mini 52.9% against Mistral Medium 3.5 94.2%, 41.2 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Mini $1.60 against Mistral Medium 3.5 $7.50 per million output tokens, 4.7x apart.
Context window
GPT-4.1 Mini takes 1.05M tokens, Mistral Medium 3.5 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 Medium 3.5Ties
Coding04
Intelligence02
Agentic work01
Reasoning17
Math02
Knowledge35
Web design06
General026
All shared boards453
CodingLike-for-likeFour of these boards feed the Vibe Coding Index04
Coding benchmarks for GPT-4.1 Mini and Mistral Medium 3.5
BenchmarkGPT-4.1 MiniMistral Medium 3.5Leader
Aider polyglot32.4%Not measuredOnly GPT-4.1 Mini measured
SWE-bench Verified23.9%Not measuredOnly GPT-4.1 Mini measured
LMArena WebDevNot measured1264Only Mistral Medium 3.5 measured
AA Coding Index20.246.9Mistral Medium 3.5
LiveCodeBench (Vals AI)58.2%Not measuredOnly GPT-4.1 Mini measured
SWE-bench Verified (Vals AI)Not measured66.4%Only Mistral Medium 3.5 measured
Vibe Code Bench (Vals AI)Not measured2.9%Only Mistral Medium 3.5 measured
Code migration (Vals AI)Not measured5.1%Only Mistral Medium 3.5 measured
Terminal-Bench 2.1 (Vals AI)Not measured39.0%Only Mistral Medium 3.5 measured
LiveCodeBench (Artificial Analysis run)48.3%Not measuredOnly GPT-4.1 Mini measured
SciCodeNot measured40.2%Only Mistral Medium 3.5 measured
Terminal-Bench Hard (Artificial Analysis run)7.6%33.3%Mistral Medium 3.5
WeirdML37.6%Not measuredOnly GPT-4.1 Mini measured
ALE-BenchNot measured764.0Only Mistral Medium 3.5 measured
LMArena Text: coding13671460Mistral Medium 3.5
LMArena Text: software and IT13601458Mistral Medium 3.5
LMArena WebDev: ReactNot measured1254Only Mistral Medium 3.5 measured
LMArena WebDev: HTMLNot measured1308Only Mistral Medium 3.5 measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-4.1 Mini and Mistral Medium 3.5
BenchmarkGPT-4.1 MiniMistral Medium 3.5Leader
AA Intelligence Index10.214.2Mistral Medium 3.5
Epoch Capabilities Index134.9141.4Mistral Medium 3.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-4.1 Mini and Mistral Medium 3.5
BenchmarkGPT-4.1 MiniMistral Medium 3.5Leader
AA Agentic IndexNot measured7.0Only Mistral Medium 3.5 measured
Finance Agent (Vals AI)Not measured32.1%Only Mistral Medium 3.5 measured
Tax Agent Bench (Vals AI)Not measured4.5%Only Mistral Medium 3.5 measured
Legal Research Bench (Vals AI)Not measured9.1%Only Mistral Medium 3.5 measured
Excel Modeling Benchmark (Vals AI)Not measured11.2%Only Mistral Medium 3.5 measured
τ²-Bench Telecom52.9%94.2%Mistral Medium 3.5
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index17
Reasoning benchmarks for GPT-4.1 Mini and Mistral Medium 3.5
BenchmarkGPT-4.1 MiniMistral Medium 3.5Leader
GPQA Diamond67.9%34.9%GPT-4.1 Mini
MMMU Pro (Vals AI)70.5%Not measuredOnly GPT-4.1 Mini measured
GPQA Diamond (Artificial Analysis run)66.4%74.8%Mistral Medium 3.5
Humanity's Last Exam (Artificial Analysis run)5.0%13.8%Mistral Medium 3.5
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 prompts13491436Mistral Medium 3.5
LMArena Text: expert13381432Mistral Medium 3.5
LMArena Text: hard prompts in English13621445Mistral Medium 3.5
LMArena Vision: diagrams11821254Mistral Medium 3.5
LMArena Vision: homework12141230Mistral Medium 3.5
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-4.1 Mini and Mistral Medium 3.5
BenchmarkGPT-4.1 MiniMistral Medium 3.5Leader
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%Not measuredOnly GPT-4.1 Mini measured
FrontierMath, tiers 1 to 36.7%Not measuredOnly GPT-4.1 Mini measured
ProofBenchNot measured9.0%Only Mistral Medium 3.5 measured
MATH level 587.3%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: math13431431Mistral Medium 3.5
LMArena Text: mathematical work13471440Mistral Medium 3.5
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index35
Knowledge benchmarks for GPT-4.1 Mini and Mistral Medium 3.5
BenchmarkGPT-4.1 MiniMistral Medium 3.5Leader
MMLU Pro77.2%75.3%GPT-4.1 Mini
LegalBench (Vals AI)78.0%Not measuredOnly GPT-4.1 Mini measured
CaseLaw (Vals AI)Not measured44.2%Only Mistral Medium 3.5 measured
CorpFin (Vals AI)57.9%58.8%Mistral Medium 3.5
TaxEval (Vals AI)71.9%68.0%GPT-4.1 Mini
MortgageTax (Vals AI)65.5%28.9%GPT-4.1 Mini
MedQA (Vals AI)84.6%Not measuredOnly GPT-4.1 Mini measured
MedCode (Vals AI)Not measured33.8%Only Mistral Medium 3.5 measured
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: science13281428Mistral Medium 3.5
LMArena Text: medicine and healthcare13241409Mistral Medium 3.5
LMArena Text: legal and government13431437Mistral Medium 3.5
LMArena Text: business and finance13221426Mistral Medium 3.5
Neither model has a result on the other 3 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 3.5
BenchmarkGPT-4.1 MiniMistral Medium 3.5Leader
Design Arena: websites9971142Mistral Medium 3.5
Design Arena: UI components9611079Mistral Medium 3.5
Design Arena: game dev10711079Mistral Medium 3.5
Design Arena: data viz10341120Mistral Medium 3.5
Design Arena: 3D8371061Mistral Medium 3.5
Design Arena: all code categories9941122Mistral Medium 3.5
Design Arena: SVGNot measured949Only Mistral Medium 3.5 measured
Design Arena: ASCII artNot measured1062Only Mistral Medium 3.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index026
General benchmarks for GPT-4.1 Mini and Mistral Medium 3.5
BenchmarkGPT-4.1 MiniMistral Medium 3.5Leader
SAGE (Vals AI)Not measured37.6%Only Mistral Medium 3.5 measured
MedScribe (Vals AI)Not measured67.7%Only Mistral Medium 3.5 measured
Vals Multimodal IndexNot measured34.8%Only Mistral Medium 3.5 measured
IFBench38.3%68.8%Mistral Medium 3.5
Long context reasoning (AA-LCR)44.0%69.3%Mistral Medium 3.5
DTBench68.8%75.5%Mistral Medium 3.5
LMCA21.1%26.1%Mistral Medium 3.5
Fiction.LiveBench44.4%Not measuredOnly GPT-4.1 Mini measured
Surface Evolver BenchNot measured26.9%Only Mistral Medium 3.5 measured
LMArena Text13411421Mistral Medium 3.5
LMArena Text: instruction following13331415Mistral Medium 3.5
LMArena Text: creative writing12991374Mistral Medium 3.5
LMArena Vision11811222Mistral Medium 3.5
LMArena Text: English13561433Mistral Medium 3.5
LMArena Text: non-English13181404Mistral Medium 3.5
LMArena Text: Chinese13291444Mistral Medium 3.5
LMArena Text: German13501453Mistral Medium 3.5
LMArena Text: Japanese1290Not measuredOnly GPT-4.1 Mini measured
LMArena Text: Korean12981384Mistral Medium 3.5
LMArena Text: French13581448Mistral Medium 3.5
LMArena Text: Spanish13191411Mistral Medium 3.5
LMArena Text: Russian13241395Mistral Medium 3.5
LMArena Text: Polish13261430Mistral Medium 3.5
LMArena Text: multi-turn13541423Mistral Medium 3.5
LMArena Text: longer queries13441415Mistral Medium 3.5
LMArena Text: writing and language13191384Mistral Medium 3.5
LMArena Text: entertainment and media13001382Mistral Medium 3.5
LMArena Vision: English11911240Mistral Medium 3.5
LMArena Vision: Chinese11861244Mistral Medium 3.5
LMArena Vision: reading text11881233Mistral Medium 3.5
LMArena Vision: humor11821216Mistral Medium 3.5
LMArena Vision: captioning1174Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: recognizing things1187Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: creative writing11821198Mistral Medium 3.5
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 Medium 3.5
BenchmarkGPT-4.1 MiniMistral Medium 3.5Leader
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 3.5$0.0053Fits 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 3.5$0.098Fits 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 3.5$0.375Fits 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 Medium 3.5
SpecificationOpenAI GPT-4.1 MiniMistral Medium 3.5
MakerOpenAIMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedApril 14, 2025April 30, 2026
Context window1.05M262K
Input $/Mtok$0.40$1.50
Output $/Mtok$1.60$7.50
Coding index28.59.2
Independent measurements behind it21
Cost per solved task$1.818$6.02
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 Mini better than Mistral Medium 3.5 for coding?

Pick GPT-4.1 Mini for coding: it scores 28.5 on the Vibe Coding Index against 9.2 for Mistral Medium 3.5. Pick Mistral Medium 3.5 when what matters is AA Coding Index or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, GPT-4.1 Mini or Mistral Medium 3.5?

GPT-4.1 Mini costs $0.40 per million input tokens and $1.60 per million output tokens; Mistral Medium 3.5 costs $1.50 and $7.50. Per solved SWE-bench Verified task, GPT-4.1 Mini costs $1.818 and Mistral Medium 3.5 $6.02.

Which has the bigger context window, GPT-4.1 Mini or Mistral Medium 3.5?

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

How many benchmarks is the GPT-4.1 Mini vs Mistral Medium 3.5 comparison based on?

57 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 Medium 3.5's on 1. Where only one model has a result, the page says so instead of naming a winner.

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