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GPT-4.1 vs Mistral Medium 3.5

Mistral Medium 3.5 leads GPT-4.1 on the Artificial Analysis Intelligence Index, 14.2 to 12.7, at about the same output price ($7.50 vs $8.00 per million). Updated October 22, 2026; 59 benchmarks have a result for both.

Replace GPT-4.1 Replace Mistral Medium 3.5
GPT-4.1OpenAI
Coding
No data
Overall
36.5
Output $/M
$8.00
9
Mistral Medium 3.5Mistral AI
Coding
25.5
Overall
37.3
Output $/M
$7.50
49
vs boards won of 59 shared, 1 tied

GPT-4.1 or Mistral Medium 3.5: which to pick

Only Mistral Medium 3.5 has a coding score, 25.5 on the Vibe Coding Index; GPT-4.1 has none, so the two cannot be ranked on coding.

Pick GPT-4.1 for a lower cost per solved task ($0.37 against $6.02) and a larger context window (1.05M against 262K tokens).

Model AGPT-4.1OpenAINot benchmarkedNo coding benchmark$0.37 per solved taskModel BMistral Medium 3.5Mistral AI25.5/1003 independent benchmarks$6.02 per solved task
Shared results
59
GPT-4.1 only
33
Mistral Medium 3.5 only
22
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 not benchmarked, Mistral Medium 3.5 25.5 from 3 benchmarks.
Widest category
Agentic work, 47.1 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GPT-4.1 47.1% against Mistral Medium 3.5 94.2%, 47.1 points apart on a 0 to 100 scale.
Output price
GPT-4.1 $8.00 against Mistral Medium 3.5 $7.50 per million output tokens, 1.1x apart.
Context window
GPT-4.1 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-4.1BarsMistral Medium 3.5Ties
Coding04
Intelligence02
Agentic work01
Reasoning36
Math02
Knowledge54
Web design051 tie
General125
All shared boards9491 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for GPT-4.1 and Mistral Medium 3.5
BenchmarkGPT-4.1Mistral Medium 3.5Leader
Aider polyglot52.4%Not measuredOnly GPT-4.1 measured
SWE-bench Verified39.6%Not measuredOnly GPT-4.1 measured
SWE-bench Multimodal31.1%Not measuredOnly GPT-4.1 measured
LMArena WebDevNot measured1264Only Mistral Medium 3.5 measured
AA Coding IndexNot measured46.9Only Mistral Medium 3.5 measured
LiveCodeBench (Vals AI)54.7%Not measuredOnly GPT-4.1 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)45.7%Not measuredOnly GPT-4.1 measured
SciCodeNot measured40.2%Only Mistral Medium 3.5 measured
Terminal-Bench Hard (Artificial Analysis run)13.6%33.3%Mistral Medium 3.5
WeirdML39.0%Not measuredOnly GPT-4.1 measured
ALE-Bench558.1764.0Mistral Medium 3.5
LMArena Text: coding13901460Mistral Medium 3.5
LMArena Text: software and IT13911458Mistral Medium 3.5
LMArena WebDev: ReactNot measured1254Only Mistral Medium 3.5 measured
LMArena WebDev: HTMLNot measured1308Only Mistral Medium 3.5 measured
SciCode4.6%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-4.1 and Mistral Medium 3.5
BenchmarkGPT-4.1Mistral Medium 3.5Leader
AA Intelligence Index12.714.2Mistral Medium 3.5
Epoch Capabilities Index136.7141.4Mistral Medium 3.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-4.1 and Mistral Medium 3.5
BenchmarkGPT-4.1Mistral 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 Telecom47.1%94.2%Mistral Medium 3.5
Berkeley Function Calling Leaderboard (BFCL)54.0%Not measuredOnly GPT-4.1 measured
BrowseComp-Plus36.4%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index36
Reasoning benchmarks for GPT-4.1 and Mistral Medium 3.5
BenchmarkGPT-4.1Mistral Medium 3.5Leader
GPQA Diamond65.4%34.9%GPT-4.1
MMMU Pro (Vals AI)72.4%Not measuredOnly GPT-4.1 measured
GPQA Diamond (Artificial Analysis run)66.6%74.8%Mistral Medium 3.5
Humanity's Last Exam (Artificial Analysis run)4.2%13.8%Mistral Medium 3.5
GPQA Diamond (Epoch AI run)66.9%Not measuredOnly GPT-4.1 measured
ARC-AGI5.5%Not measuredOnly GPT-4.1 measured
ARC-AGI-20.4%Not measuredOnly GPT-4.1 measured
SimpleBench27.0%Not measuredOnly GPT-4.1 measured
Chess puzzles3.0%Not measuredOnly GPT-4.1 measured
LMArena Text: hard prompts13841436Mistral Medium 3.5
LMArena Text: expert13641432Mistral Medium 3.5
LMArena Text: hard prompts in English13931445Mistral Medium 3.5
LMArena Vision: diagrams12151254Mistral Medium 3.5
LMArena Vision: homework12481230GPT-4.1
Kagi LLM Benchmark52.3%41.4%GPT-4.1
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 and Mistral Medium 3.5
BenchmarkGPT-4.1Mistral Medium 3.5Leader
AIME39.6%Not measuredOnly GPT-4.1 measured
MATH 500 (Vals AI)87.2%Not measuredOnly GPT-4.1 measured
MGSM (Vals AI)87.7%Not measuredOnly GPT-4.1 measured
AA Math Index34.7Not measuredOnly GPT-4.1 measured
AIME 2025 (Artificial Analysis run)34.7%Not measuredOnly GPT-4.1 measured
OTIS Mock AIME38.3%Not measuredOnly GPT-4.1 measured
FrontierMath, tiers 1 to 36.0%Not measuredOnly GPT-4.1 measured
ProofBenchNot measured9.0%Only Mistral Medium 3.5 measured
MATH level 583.0%Not measuredOnly GPT-4.1 measured
LMArena Text: math13691431Mistral Medium 3.5
LMArena Text: mathematical work13601440Mistral 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 index54
Knowledge benchmarks for GPT-4.1 and Mistral Medium 3.5
BenchmarkGPT-4.1Mistral Medium 3.5Leader
MMLU Pro80.5%75.3%GPT-4.1
LegalBench (Vals AI)83.1%Not measuredOnly GPT-4.1 measured
CaseLaw (Vals AI)69.9%44.2%GPT-4.1
CorpFin (Vals AI)63.0%58.8%GPT-4.1
TaxEval (Vals AI)75.1%68.0%GPT-4.1
MortgageTax (Vals AI)65.9%28.9%GPT-4.1
MedQA (Vals AI)91.2%Not measuredOnly GPT-4.1 measured
MedCode (Vals AI)Not measured33.8%Only Mistral Medium 3.5 measured
MMLU Pro (Artificial Analysis run)80.6%Not measuredOnly GPT-4.1 measured
SimpleQA Verified31.1%Not measuredOnly GPT-4.1 measured
GeoBench72.0%Not measuredOnly GPT-4.1 measured
LMArena Text: science13821428Mistral Medium 3.5
LMArena Text: medicine and healthcare13791409Mistral Medium 3.5
LMArena Text: legal and government13991437Mistral Medium 3.5
LMArena Text: business and finance13691426Mistral Medium 3.5
FACTS Benchmark Suite45.8%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index05
Web design benchmarks for GPT-4.1 and Mistral Medium 3.5
BenchmarkGPT-4.1Mistral Medium 3.5Leader
Design Arena: websites10381142Mistral Medium 3.5
Design Arena: UI components9971076Mistral Medium 3.5
Design Arena: game dev10791079Tie
Design Arena: data viz11041120Mistral Medium 3.5
Design Arena: 3D8491060Mistral Medium 3.5
Design Arena: all code categories10251121Mistral 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 index125
General benchmarks for GPT-4.1 and Mistral Medium 3.5
BenchmarkGPT-4.1Mistral 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
IFBench43.0%68.8%Mistral Medium 3.5
Long context reasoning (AA-LCR)68.3%69.3%Mistral Medium 3.5
DTBench68.3%75.5%Mistral Medium 3.5
LMCA25.6%26.1%Mistral Medium 3.5
Fiction.LiveBench63.9%Not measuredOnly GPT-4.1 measured
Surface Evolver BenchNot measured26.9%Only Mistral Medium 3.5 measured
LMArena Text13831421Mistral Medium 3.5
LMArena Text: instruction following13671415Mistral Medium 3.5
LMArena Text: creative writing13631374Mistral Medium 3.5
LMArena Vision12101222Mistral Medium 3.5
LMArena Text: English13921433Mistral Medium 3.5
LMArena Text: non-English13701404Mistral Medium 3.5
LMArena Text: Chinese13821444Mistral Medium 3.5
LMArena Text: German13811453Mistral Medium 3.5
LMArena Text: Japanese1319Not measuredOnly GPT-4.1 measured
LMArena Text: Korean13381384Mistral Medium 3.5
LMArena Text: French13821448Mistral Medium 3.5
LMArena Text: Spanish13761411Mistral Medium 3.5
LMArena Text: Russian13771395Mistral Medium 3.5
LMArena Text: Polish13891430Mistral Medium 3.5
LMArena Text: multi-turn13971423Mistral Medium 3.5
LMArena Text: longer queries13851415Mistral Medium 3.5
LMArena Text: writing and language13711384Mistral Medium 3.5
LMArena Text: entertainment and media13651382Mistral Medium 3.5
LMArena Vision: English12091240Mistral Medium 3.5
LMArena Vision: Chinese12261244Mistral Medium 3.5
LMArena Vision: reading text12181233Mistral Medium 3.5
LMArena Vision: humor11961216Mistral Medium 3.5
LMArena Vision: captioning1207Not measuredOnly GPT-4.1 measured
LMArena Vision: recognizing things1208Not measuredOnly GPT-4.1 measured
LMArena Vision: creative writing12101198GPT-4.1
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 and Mistral Medium 3.5
BenchmarkGPT-4.1Mistral 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$0.0060Fits in one request
Mistral Medium 3.5$0.0053Fits in one request

Mistral Medium 3.5 costs less

Repository review

50K input + 3K output tokens

GPT-4.1$0.124Fits in one request
Mistral Medium 3.5$0.098Fits in one request

Mistral Medium 3.5 costs less

Agent loop

200K input + 10K output tokens

GPT-4.1$0.480Fits in one request
Mistral Medium 3.5$0.375Fits in one request

Mistral Medium 3.5 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 and Mistral Medium 3.5
SpecificationOpenAI GPT-4.1Mistral Medium 3.5
MakerOpenAIMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedApril 14, 2025April 30, 2026
Context window1.05M262K
Input $/Mtok$2.00$1.50
Output $/Mtok$8.00$7.50
Coding indexNot benchmarked25.5
Independent measurements behind it03
Cost per solved task$0.37$6.02
SourceOpenRouter listingOpenRouter listing

Questions

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

Only Mistral Medium 3.5 has a coding score, 25.5 on the Vibe Coding Index; GPT-4.1 has none, so the two cannot be ranked on coding. Pick GPT-4.1 for a lower cost per solved task ($0.37 against $6.02) and a larger context window (1.05M against 262K tokens).

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

GPT-4.1 costs $2.00 per million input tokens and $8.00 per million output tokens; Mistral Medium 3.5 costs $1.50 and $7.50. Per solved SWE-bench Verified task, GPT-4.1 costs $0.37 and Mistral Medium 3.5 $6.02.

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

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

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

59 benchmarks have a result for both models as of October 22, 2026. GPT-4.1's coding index rests on 0 independent benchmarks and Mistral Medium 3.5's on 3. Where only one model has a result, the page says so instead of naming a winner.

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