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GPT-4.1 Nano vs Mistral Small 3

GPT-4.1 Nano leads Mistral Small 3 on the Artificial Analysis Intelligence Index, 7.8 to 6.7, and Mistral Small 3 costs 5.0x less per output token ($0.08 vs $0.40 per million). Updated October 22, 2026; 34 benchmarks have a result for both.

Replace GPT-4.1 Nano Replace Mistral Small 3
GPT-4.1 NanoOpenAI
Coding
No data
Overall
24.7
Output $/M
$0.40
32
Mistral Small 3Mistral AI
Coding
No data
Overall
No data
Output $/M
$0.08
1
vs boards won of 34 shared, 1 tied

GPT-4.1 Nano or Mistral Small 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 a larger context window (1.05M against 33K tokens) and work measured by τ²-Bench Telecom, where it leads.

Model AGPT-4.1 NanoOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BMistral Small 3Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
34
GPT-4.1 Nano only
37
Mistral Small 3 only
2
Like-for-like categories
7 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 Small 3 not benchmarked.
Widest category
Math, 12.6 points apart on average over 4 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): GPT-4.1 Nano 20.3% against Mistral Small 3 0.0%, 20.3 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Nano $0.40 against Mistral Small 3 $0.08 per million output tokens, 5.0x apart.
Context window
GPT-4.1 Nano takes 1.05M tokens, Mistral Small 3 33K.

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 Small 3Ties
Coding30
Intelligence10
Agentic work01
Reasoning401 tie
Math40
Knowledge50
General150
All shared boards3211 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for GPT-4.1 Nano and Mistral Small 3
BenchmarkGPT-4.1 NanoMistral Small 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%25.2%GPT-4.1 Nano
Terminal-Bench Hard (Artificial Analysis run)3.8%Not measuredOnly GPT-4.1 Nano measured
WeirdML19.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: coding13061246GPT-4.1 Nano
LMArena Text: software and IT13051248GPT-4.1 Nano
Neither model has a result on the other 31 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-4.1 Nano and Mistral Small 3
BenchmarkGPT-4.1 NanoMistral Small 3Leader
AA Intelligence Index7.86.7GPT-4.1 Nano
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 Small 3
BenchmarkGPT-4.1 NanoMistral Small 3Leader
τ²-Bench Telecom17.3%19.6%Mistral Small 3
Berkeley Function Calling Leaderboard (BFCL)33.1%Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for GPT-4.1 Nano and Mistral Small 3
BenchmarkGPT-4.1 NanoMistral Small 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%46.2%GPT-4.1 Nano
Humanity's Last Exam (Artificial Analysis run)3.8%3.8%Tie
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 prompts12861233GPT-4.1 Nano
LMArena Text: expert12711202GPT-4.1 Nano
LMArena Text: hard prompts in English12931243GPT-4.1 Nano
Kagi LLM Benchmark33.3%Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for GPT-4.1 Nano and Mistral Small 3
BenchmarkGPT-4.1 NanoMistral Small 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 Index24.04.3GPT-4.1 Nano
AIME 2025 (Artificial Analysis run)24.0%4.3%GPT-4.1 Nano
OTIS Mock AIME28.9%Not measuredOnly GPT-4.1 Nano measured
MATH level 570.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: math12741240GPT-4.1 Nano
LMArena Text: mathematical work12741243GPT-4.1 Nano
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for GPT-4.1 Nano and Mistral Small 3
BenchmarkGPT-4.1 NanoMistral Small 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%65.2%GPT-4.1 Nano
SimpleQA Verified6.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: science12971235GPT-4.1 Nano
LMArena Text: medicine and healthcare12761215GPT-4.1 Nano
LMArena Text: legal and government13001219GPT-4.1 Nano
LMArena Text: business and finance12671205GPT-4.1 Nano
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for GPT-4.1 Nano and Mistral Small 3
BenchmarkGPT-4.1 NanoMistral Small 3Leader
Design Arena: websites972Not measuredOnly GPT-4.1 Nano measured
Design Arena: UI components913Not measuredOnly GPT-4.1 Nano measured
Design Arena: game dev970Not measuredOnly GPT-4.1 Nano measured
Design Arena: data viz891Not measuredOnly GPT-4.1 Nano measured
Design Arena: 3D924Not measuredOnly GPT-4.1 Nano measured
Design Arena: all code categories962Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index150
General benchmarks for GPT-4.1 Nano and Mistral Small 3
BenchmarkGPT-4.1 NanoMistral Small 3Leader
IFBench32.0%26.4%GPT-4.1 Nano
Long context reasoning (AA-LCR)20.3%0.0%GPT-4.1 Nano
DTBench52.5%Not measuredOnly GPT-4.1 Nano measured
LMCA5.5%Not measuredOnly GPT-4.1 Nano measured
Fiction.LiveBench25.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text12851234GPT-4.1 Nano
LMArena Text: instruction following12661214GPT-4.1 Nano
LMArena Text: creative writing12601194GPT-4.1 Nano
LMArena Vision1063Not measuredOnly GPT-4.1 Nano measured
LMArena Text: English13031256GPT-4.1 Nano
LMArena Text: non-English12601198GPT-4.1 Nano
LMArena Text: Chinese12701204GPT-4.1 Nano
LMArena Text: German12881211GPT-4.1 Nano
LMArena Text: Japanese11981111GPT-4.1 Nano
LMArena Text: KoreanNot measured1188Only Mistral Small 3 measured
LMArena Text: FrenchNot measured1204Only Mistral Small 3 measured
LMArena Text: Russian12611216GPT-4.1 Nano
LMArena Text: multi-turn12771217GPT-4.1 Nano
LMArena Text: longer queries12831246GPT-4.1 Nano
LMArena Text: writing and language12611214GPT-4.1 Nano
LMArena Text: entertainment and media12431184GPT-4.1 Nano
LMArena Vision: English1101Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 24 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 Small 3
BenchmarkGPT-4.1 NanoMistral Small 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 Small 3$0.0001Fits in one request

Mistral Small 3 costs less

Repository review

50K input + 3K output tokens

GPT-4.1 Nano$0.0062Fits in one request
Mistral Small 3$0.0027Exceeds the context window

Mistral Small 3 costs less

Agent loop

200K input + 10K output tokens

GPT-4.1 Nano$0.024Fits in one request
Mistral Small 3$0.011Exceeds the context window

Mistral Small 3 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 Small 3
SpecificationOpenAI GPT-4.1 NanoMistral Small 3
MakerOpenAIMistral AI
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025January 30, 2025
Context window1.05M33K
Input $/Mtok$0.10$0.05
Output $/Mtok$0.40$0.08
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 Small 3 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4.1 Nano for a larger context window (1.05M against 33K tokens) and work measured by τ²-Bench Telecom, where it leads.

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

GPT-4.1 Nano costs $0.10 per million input tokens and $0.40 per million output tokens; Mistral Small 3 costs $0.05 and $0.08. Cost per solved task is known for neither of them.

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

GPT-4.1 Nano, with 1.05M tokens against 33K.

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

34 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 Small 3's on 0. Where only one model has a result, the page says so instead of naming a winner.

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