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GPT-4.1 Nano vs Mistral Medium 3.1

Mistral Medium 3.1 leads GPT-4.1 Nano on the Artificial Analysis Intelligence Index, 9.2 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; 57 benchmarks have a result for both.

Replace GPT-4.1 Nano Replace Mistral Medium 3.1
GPT-4.1 NanoOpenAI
Coding
No data
Overall
24.7
Output $/M
$0.40
1
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
56
vs boards won of 57 shared

GPT-4.1 Nano 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 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 3.1Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
57
GPT-4.1 Nano only
14
Mistral Medium 3.1 only
17
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 3.1 not benchmarked.
Widest category
Agentic work, 23.4 points apart on average over 1 shared benchmark.
Widest single gap
Design Arena: data viz: GPT-4.1 Nano 891 against Mistral Medium 3.1 1144, 31.6 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Nano $0.40 against Mistral Medium 3.1 $2.00 per million output tokens, 5.0x apart.
Context window
GPT-4.1 Nano 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 NanoBarsMistral Medium 3.1Ties
Coding06
Intelligence01
Agentic work01
Reasoning06
Math07
Knowledge110
Web design06
General019
All shared boards156
CodingLike-for-likeSix of these boards feed the Vibe Coding Index06
Coding benchmarks for GPT-4.1 Nano and Mistral Medium 3.1
BenchmarkGPT-4.1 NanoMistral Medium 3.1Leader
Aider polyglot8.9%Not measuredOnly GPT-4.1 Nano measured
AA Coding Index11.120.5Mistral Medium 3.1
LiveCodeBench (Vals AI)42.7%44.8%Mistral Medium 3.1
LiveCodeBench (Artificial Analysis run)32.6%40.6%Mistral Medium 3.1
SciCodeNot measured32.4%Only Mistral Medium 3.1 measured
Terminal-Bench Hard (Artificial Analysis run)3.8%10.6%Mistral Medium 3.1
WeirdML19.0%Not measuredOnly GPT-4.1 Nano measured
ALE-BenchNot measured210.2Only Mistral Medium 3.1 measured
LMArena Text: coding13061433Mistral Medium 3.1
LMArena Text: software and IT13051436Mistral Medium 3.1
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4.1 Nano and Mistral Medium 3.1
BenchmarkGPT-4.1 NanoMistral Medium 3.1Leader
AA Intelligence Index7.89.2Mistral Medium 3.1
Epoch Capabilities Index129.5Not measuredOnly GPT-4.1 Nano measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-4.1 Nano and Mistral Medium 3.1
BenchmarkGPT-4.1 NanoMistral Medium 3.1Leader
AA Agentic IndexNot measured1.9Only Mistral Medium 3.1 measured
τ²-Bench Telecom17.3%40.6%Mistral Medium 3.1
Berkeley Function Calling Leaderboard (BFCL)33.1%Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for GPT-4.1 Nano and Mistral Medium 3.1
BenchmarkGPT-4.1 NanoMistral Medium 3.1Leader
GPQA Diamond50.8%Not measuredOnly GPT-4.1 Nano measured
MMMU Pro (Vals AI)55.0%63.0%Mistral Medium 3.1
GPQA Diamond (Artificial Analysis run)51.2%58.8%Mistral Medium 3.1
Humanity's Last Exam (Artificial Analysis run)3.8%4.7%Mistral Medium 3.1
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 prompts12861426Mistral Medium 3.1
LMArena Text: expert12711408Mistral Medium 3.1
LMArena Text: hard prompts in English12931435Mistral Medium 3.1
LMArena Vision: diagramsNot measured1175Only Mistral Medium 3.1 measured
LMArena Vision: homeworkNot measured1165Only Mistral Medium 3.1 measured
Kagi LLM Benchmark33.3%Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index07
Math benchmarks for GPT-4.1 Nano and Mistral Medium 3.1
BenchmarkGPT-4.1 NanoMistral Medium 3.1Leader
AIME26.5%42.3%Mistral Medium 3.1
MATH 500 (Vals AI)80.2%87.0%Mistral Medium 3.1
MGSM (Vals AI)69.3%90.9%Mistral Medium 3.1
AA Math Index24.038.3Mistral Medium 3.1
AIME 2025 (Artificial Analysis run)24.0%38.3%Mistral Medium 3.1
OTIS Mock AIME28.9%Not measuredOnly GPT-4.1 Nano measured
MATH level 570.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: math12741408Mistral Medium 3.1
LMArena Text: mathematical work12741412Mistral Medium 3.1
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index110
Knowledge benchmarks for GPT-4.1 Nano and Mistral Medium 3.1
BenchmarkGPT-4.1 NanoMistral Medium 3.1Leader
MMLU Pro63.5%75.3%Mistral Medium 3.1
LegalBench (Vals AI)61.1%62.0%Mistral Medium 3.1
CorpFin (Vals AI)42.1%50.7%Mistral Medium 3.1
TaxEval (Vals AI)60.8%70.3%Mistral Medium 3.1
MortgageTax (Vals AI)52.8%36.5%GPT-4.1 Nano
MedQA (Vals AI)68.2%78.2%Mistral Medium 3.1
MMLU Pro (Artificial Analysis run)65.7%68.3%Mistral Medium 3.1
SimpleQA Verified6.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: science12971444Mistral Medium 3.1
LMArena Text: medicine and healthcare12761449Mistral Medium 3.1
LMArena Text: legal and government13001439Mistral Medium 3.1
LMArena Text: business and finance12671418Mistral Medium 3.1
Neither model has a result on the other 6 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 3.1
BenchmarkGPT-4.1 NanoMistral Medium 3.1Leader
Design Arena: websites9721132Mistral Medium 3.1
Design Arena: UI components9131097Mistral Medium 3.1
Design Arena: game dev9701073Mistral Medium 3.1
Design Arena: data viz8911144Mistral Medium 3.1
Design Arena: 3D9241081Mistral Medium 3.1
Design Arena: all code categories9621120Mistral Medium 3.1
Design Arena: SVGNot measured992Only 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 index019
General benchmarks for GPT-4.1 Nano and Mistral Medium 3.1
BenchmarkGPT-4.1 NanoMistral Medium 3.1Leader
IFBench32.0%39.8%Mistral Medium 3.1
Long context reasoning (AA-LCR)20.3%42.7%Mistral Medium 3.1
DTBench52.5%67.5%Mistral Medium 3.1
LMCA5.5%19.1%Mistral Medium 3.1
Fiction.LiveBench25.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text12851424Mistral Medium 3.1
LMArena Text: instruction following12661398Mistral Medium 3.1
LMArena Text: creative writing12601391Mistral Medium 3.1
LMArena Vision10631172Mistral Medium 3.1
LMArena Text: English13031438Mistral Medium 3.1
LMArena Text: non-English12601408Mistral Medium 3.1
LMArena Text: Chinese12701447Mistral Medium 3.1
LMArena Text: German12881432Mistral Medium 3.1
LMArena Text: Japanese11981379Mistral Medium 3.1
LMArena Text: KoreanNot measured1380Only Mistral Medium 3.1 measured
LMArena Text: FrenchNot measured1460Only Mistral Medium 3.1 measured
LMArena Text: SpanishNot measured1433Only Mistral Medium 3.1 measured
LMArena Text: Russian12611411Mistral Medium 3.1
LMArena Text: PolishNot measured1430Only Mistral Medium 3.1 measured
LMArena Text: multi-turn12771418Mistral Medium 3.1
LMArena Text: longer queries12831406Mistral Medium 3.1
LMArena Text: writing and language12611395Mistral Medium 3.1
LMArena Text: entertainment and media12431390Mistral Medium 3.1
LMArena Vision: English11011179Mistral Medium 3.1
LMArena Vision: ChineseNot measured1190Only Mistral Medium 3.1 measured
LMArena Vision: reading textNot measured1175Only Mistral Medium 3.1 measured
LMArena Vision: humorNot measured1168Only Mistral Medium 3.1 measured
LMArena Vision: captioningNot measured1145Only Mistral Medium 3.1 measured
LMArena Vision: recognizing thingsNot measured1147Only Mistral Medium 3.1 measured
LMArena Vision: creative writingNot measured1200Only Mistral Medium 3.1 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 Nano and Mistral Medium 3.1
BenchmarkGPT-4.1 NanoMistral 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 Nano$0.0003Fits in one request
Mistral Medium 3.1$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 3.1$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 3.1$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 3.1
SpecificationOpenAI GPT-4.1 NanoMistral Medium 3.1
MakerOpenAIMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedApril 14, 2025August 13, 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 3.1 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 3.1?

GPT-4.1 Nano costs $0.10 per million input tokens and $0.40 per million output tokens; Mistral Medium 3.1 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 3.1?

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

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

57 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 3.1's on 0. Where only one model has a result, the page says so instead of naming a winner.

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