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GPT-4.1 Nano vs Mistral Medium 3

Mistral Medium 3 leads GPT-4.1 Nano on the Artificial Analysis Intelligence Index, 9.0 to 7.8, and GPT-4.1 Nano costs 5.0x less per output token ($0.40 vs $2.00 per million). Updated October 22, 2026; 45 benchmarks have a result for both.

Replace GPT-4.1 Nano Replace Mistral Medium 3
GPT-4.1 NanoOpenAI
Coding
No data
Overall
24.7
Output $/M
$0.40
0
Mistral Medium 3Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
44
vs boards won of 45 shared, 1 tied

GPT-4.1 Nano or Mistral Medium 3: which to pick

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

Pick GPT-4.1 Nano for output tokens 5.0x cheaper ($0.40 vs $2.00 per million) and a larger context window (1.05M against 131K tokens).

Model AGPT-4.1 NanoOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BMistral Medium 3Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
45
GPT-4.1 Nano only
26
Mistral Medium 3 only
12
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 Nano not benchmarked, Mistral Medium 3 not benchmarked.
Widest category
General, 14.1 points apart on average over 18 shared benchmarks.
Widest single gap
Design Arena: 3D: GPT-4.1 Nano 924 against Mistral Medium 3 1083, 19.9 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Nano $0.40 against Mistral Medium 3 $2.00 per million output tokens, 5.0x apart.
Context window
GPT-4.1 Nano takes 1.05M tokens, Mistral Medium 3 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 NanoBarsMistral Medium 3Ties
Coding031 tie
Intelligence02
Agentic work01
Reasoning05
Math04
Knowledge05
Web design06
General018
All shared boards0441 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for GPT-4.1 Nano and Mistral Medium 3
BenchmarkGPT-4.1 NanoMistral Medium 3Leader
Aider polyglot8.9%Not measuredOnly GPT-4.1 Nano measured
AA Coding Index11.1Not measuredOnly GPT-4.1 Nano measured
LiveCodeBench (Vals AI)42.7%Not measuredOnly GPT-4.1 Nano measured
LiveCodeBench (Artificial Analysis run)32.6%40.0%Mistral Medium 3
Terminal-Bench Hard (Artificial Analysis run)3.8%3.8%Tie
WeirdML19.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: coding13061385Mistral Medium 3
LMArena Text: software and IT13051385Mistral Medium 3
Neither model has a result on the other 35 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-4.1 Nano and Mistral Medium 3
BenchmarkGPT-4.1 NanoMistral Medium 3Leader
AA Intelligence Index7.89.0Mistral Medium 3
Epoch Capabilities Index129.5134.0Mistral Medium 3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-4.1 Nano and Mistral Medium 3
BenchmarkGPT-4.1 NanoMistral Medium 3Leader
τ²-Bench Telecom17.3%24.3%Mistral Medium 3
Berkeley Function Calling Leaderboard (BFCL)33.1%Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for GPT-4.1 Nano and Mistral Medium 3
BenchmarkGPT-4.1 NanoMistral Medium 3Leader
GPQA Diamond50.8%Not measuredOnly GPT-4.1 Nano measured
MMMU Pro (Vals AI)55.0%Not measuredOnly GPT-4.1 Nano measured
GPQA Diamond (Artificial Analysis run)51.2%57.8%Mistral Medium 3
Humanity's Last Exam (Artificial Analysis run)3.8%4.1%Mistral Medium 3
GPQA Diamond (Epoch AI run)48.9%Not measuredOnly GPT-4.1 Nano measured
ARC-AGI0.0%Not measuredOnly GPT-4.1 Nano measured
ARC-AGI-20.0%Not measuredOnly GPT-4.1 Nano measured
Chess puzzles0.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: hard prompts12861364Mistral Medium 3
LMArena Text: expert12711342Mistral Medium 3
LMArena Text: hard prompts in English12931374Mistral Medium 3
LMArena Vision: diagramsNot measured1155Only Mistral Medium 3 measured
LMArena Vision: homeworkNot measured1165Only Mistral Medium 3 measured
Kagi LLM Benchmark33.3%Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for GPT-4.1 Nano and Mistral Medium 3
BenchmarkGPT-4.1 NanoMistral Medium 3Leader
AIME26.5%Not measuredOnly GPT-4.1 Nano measured
MATH 500 (Vals AI)80.2%Not measuredOnly GPT-4.1 Nano measured
MGSM (Vals AI)69.3%Not measuredOnly GPT-4.1 Nano measured
AA Math Index24.030.3Mistral Medium 3
AIME 2025 (Artificial Analysis run)24.0%30.3%Mistral Medium 3
OTIS Mock AIME28.9%Not measuredOnly GPT-4.1 Nano measured
MATH level 570.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: math12741353Mistral Medium 3
LMArena Text: mathematical work12741354Mistral Medium 3
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for GPT-4.1 Nano and Mistral Medium 3
BenchmarkGPT-4.1 NanoMistral Medium 3Leader
MMLU Pro63.5%Not measuredOnly GPT-4.1 Nano measured
LegalBench (Vals AI)61.1%Not measuredOnly GPT-4.1 Nano measured
CorpFin (Vals AI)42.1%Not measuredOnly GPT-4.1 Nano measured
TaxEval (Vals AI)60.8%Not measuredOnly GPT-4.1 Nano measured
MortgageTax (Vals AI)52.8%Not measuredOnly GPT-4.1 Nano measured
MedQA (Vals AI)68.2%Not measuredOnly GPT-4.1 Nano measured
MMLU Pro (Artificial Analysis run)65.7%76.0%Mistral Medium 3
SimpleQA Verified6.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: science12971381Mistral Medium 3
LMArena Text: medicine and healthcare12761381Mistral Medium 3
LMArena Text: legal and government13001384Mistral Medium 3
LMArena Text: business and finance12671352Mistral Medium 3
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for GPT-4.1 Nano and Mistral Medium 3
BenchmarkGPT-4.1 NanoMistral Medium 3Leader
Design Arena: websites9731079Mistral Medium 3
Design Arena: UI components9131022Mistral Medium 3
Design Arena: game dev9701017Mistral Medium 3
Design Arena: data viz8911034Mistral Medium 3
Design Arena: 3D9241083Mistral Medium 3
Design Arena: all code categories9621068Mistral Medium 3
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
General benchmarks for GPT-4.1 Nano and Mistral Medium 3
BenchmarkGPT-4.1 NanoMistral Medium 3Leader
IFBench32.0%39.3%Mistral Medium 3
Long context reasoning (AA-LCR)20.3%31.3%Mistral Medium 3
DTBench52.5%62.3%Mistral Medium 3
LMCA5.5%Not measuredOnly GPT-4.1 Nano measured
Fiction.LiveBench25.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text12851370Mistral Medium 3
LMArena Text: instruction following12661338Mistral Medium 3
LMArena Text: creative writing12601343Mistral Medium 3
LMArena Vision10631157Mistral Medium 3
LMArena Text: English13031385Mistral Medium 3
LMArena Text: non-English12601353Mistral Medium 3
LMArena Text: Chinese12701374Mistral Medium 3
LMArena Text: German12881377Mistral Medium 3
LMArena Text: Japanese11981316Mistral Medium 3
LMArena Text: KoreanNot measured1304Only Mistral Medium 3 measured
LMArena Text: FrenchNot measured1368Only Mistral Medium 3 measured
LMArena Text: SpanishNot measured1364Only Mistral Medium 3 measured
LMArena Text: Russian12611359Mistral Medium 3
LMArena Text: PolishNot measured1371Only Mistral Medium 3 measured
LMArena Text: multi-turn12771384Mistral Medium 3
LMArena Text: longer queries12831360Mistral Medium 3
LMArena Text: writing and language12611352Mistral Medium 3
LMArena Text: entertainment and media12431335Mistral Medium 3
LMArena Vision: English11011172Mistral Medium 3
LMArena Vision: ChineseNot measured1161Only Mistral Medium 3 measured
LMArena Vision: reading textNot measured1154Only Mistral Medium 3 measured
LMArena Vision: humorNot measured1145Only Mistral Medium 3 measured
LMArena Vision: captioningNot measured1094Only Mistral Medium 3 measured
LMArena Vision: recognizing thingsNot measured1141Only Mistral Medium 3 measured
LMArena Vision: creative writingNot measured1146Only Mistral Medium 3 measured
Neither model has a result on the other 18 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4.1 Nano and Mistral Medium 3
BenchmarkGPT-4.1 NanoMistral Medium 3Leader
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 Nano$0.0003Fits in one request
Mistral Medium 3$0.0014Fits in one request

GPT-4.1 Nano costs less

Repository review

50K input + 3K output tokens

GPT-4.1 Nano$0.0062Fits in one request
Mistral Medium 3$0.026Fits in one request

GPT-4.1 Nano costs less

Agent loop

200K input + 10K output tokens

GPT-4.1 Nano$0.024Fits in one request
Mistral Medium 3$0.100Exceeds the context window

GPT-4.1 Nano 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 Nano and Mistral Medium 3
SpecificationOpenAI GPT-4.1 NanoMistral Medium 3
MakerOpenAIMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedApril 14, 2025May 7, 2025
Context window1.05M131K
Input $/Mtok$0.10$0.40
Output $/Mtok$0.40$2.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 Nano better than Mistral Medium 3 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4.1 Nano for output tokens 5.0x cheaper ($0.40 vs $2.00 per million) and a larger context window (1.05M against 131K tokens).

Which is cheaper, GPT-4.1 Nano or Mistral Medium 3?

GPT-4.1 Nano costs $0.10 per million input tokens and $0.40 per million output tokens; Mistral Medium 3 costs $0.40 and $2.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-4.1 Nano or Mistral Medium 3?

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

How many benchmarks is the GPT-4.1 Nano vs Mistral Medium 3 comparison based on?

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

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