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GPT-4.1 Mini vs Mistral Small 3.1 24B

Mistral Small 3.1 24B costs 2.9x less per output token than GPT-4.1 Mini ($0.555 vs $1.60 per million). Updated October 22, 2026; 38 benchmarks have a result for both.

Replace GPT-4.1 Mini Replace Mistral Small 3.1 24B
GPT-4.1 MiniOpenAI
Coding
No data
Overall
31.9
Output $/M
$1.60
38
Mistral Small 3.1 24BMistral AI
Coding
No data
Overall
No data
Output $/M
$0.555
0
vs boards won of 38 shared

GPT-4.1 Mini or Mistral Small 3.1 24B: which to pick

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

Pick GPT-4.1 Mini for a larger context window (1.05M against 128K tokens).

Model AGPT-4.1 MiniOpenAINot benchmarkedNo coding benchmark$1.818 per solved taskModel BMistral Small 3.1 24BMistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
38
GPT-4.1 Mini only
48
Mistral Small 3.1 24B only
0
Like-for-like categories
5 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 Mini not benchmarked, Mistral Small 3.1 24B not benchmarked.
Widest category
Math, 13.1 points apart on average over 2 shared benchmarks.
Widest single gap
LMArena Text: Korean: GPT-4.1 Mini 1298 against Mistral Small 3.1 24B 1207, 15.2 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Mini $1.60 against Mistral Small 3.1 24B $0.555 per million output tokens, 2.9x apart.
Context window
GPT-4.1 Mini takes 1.05M tokens, Mistral Small 3.1 24B 128K.

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 Small 3.1 24BTies
Coding20
Reasoning50
Math20
Knowledge40
General250
All shared boards380
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for GPT-4.1 Mini and Mistral Small 3.1 24B
BenchmarkGPT-4.1 MiniMistral Small 3.1 24BLeader
Aider polyglot32.4%Not measuredOnly GPT-4.1 Mini measured
SWE-bench Verified23.9%Not measuredOnly GPT-4.1 Mini measured
AA Coding Index20.2Not measuredOnly GPT-4.1 Mini measured
LiveCodeBench (Vals AI)58.2%Not measuredOnly GPT-4.1 Mini measured
LiveCodeBench (Artificial Analysis run)48.3%Not measuredOnly GPT-4.1 Mini measured
Terminal-Bench Hard (Artificial Analysis run)7.6%Not measuredOnly GPT-4.1 Mini measured
WeirdML37.6%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: coding13671309GPT-4.1 Mini
LMArena Text: software and IT13601301GPT-4.1 Mini
Neither model has a result on the other 30 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for GPT-4.1 Mini and Mistral Small 3.1 24B
BenchmarkGPT-4.1 MiniMistral Small 3.1 24BLeader
AA Intelligence Index10.2Not measuredOnly GPT-4.1 Mini measured
Epoch Capabilities Index134.9Not measuredOnly GPT-4.1 Mini measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for GPT-4.1 Mini and Mistral Small 3.1 24B
BenchmarkGPT-4.1 MiniMistral Small 3.1 24BLeader
τ²-Bench Telecom52.9%Not measuredOnly GPT-4.1 Mini measured
Berkeley Function Calling Leaderboard (BFCL)50.4%Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for GPT-4.1 Mini and Mistral Small 3.1 24B
BenchmarkGPT-4.1 MiniMistral Small 3.1 24BLeader
GPQA Diamond67.9%Not measuredOnly GPT-4.1 Mini measured
MMMU Pro (Vals AI)70.5%Not measuredOnly GPT-4.1 Mini measured
GPQA Diamond (Artificial Analysis run)66.4%Not measuredOnly GPT-4.1 Mini measured
Humanity's Last Exam (Artificial Analysis run)5.0%Not measuredOnly GPT-4.1 Mini measured
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 prompts13491278GPT-4.1 Mini
LMArena Text: expert13381257GPT-4.1 Mini
LMArena Text: hard prompts in English13621290GPT-4.1 Mini
LMArena Vision: diagrams11821119GPT-4.1 Mini
LMArena Vision: homework12141158GPT-4.1 Mini
Kagi LLM Benchmark48.6%Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GPT-4.1 Mini and Mistral Small 3.1 24B
BenchmarkGPT-4.1 MiniMistral Small 3.1 24BLeader
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
MATH level 587.3%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: math13431261GPT-4.1 Mini
LMArena Text: mathematical work13471271GPT-4.1 Mini
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for GPT-4.1 Mini and Mistral Small 3.1 24B
BenchmarkGPT-4.1 MiniMistral Small 3.1 24BLeader
MMLU Pro77.2%Not measuredOnly GPT-4.1 Mini measured
LegalBench (Vals AI)78.0%Not measuredOnly GPT-4.1 Mini measured
CorpFin (Vals AI)57.9%Not measuredOnly GPT-4.1 Mini measured
TaxEval (Vals AI)71.9%Not measuredOnly GPT-4.1 Mini measured
MortgageTax (Vals AI)65.5%Not measuredOnly GPT-4.1 Mini measured
MedQA (Vals AI)84.6%Not measuredOnly GPT-4.1 Mini 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: science13281265GPT-4.1 Mini
LMArena Text: medicine and healthcare13241267GPT-4.1 Mini
LMArena Text: legal and government13431271GPT-4.1 Mini
LMArena Text: business and finance13221257GPT-4.1 Mini
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 Mini and Mistral Small 3.1 24B
BenchmarkGPT-4.1 MiniMistral Small 3.1 24BLeader
Design Arena: websites997Not measuredOnly GPT-4.1 Mini measured
Design Arena: UI components958Not measuredOnly GPT-4.1 Mini measured
Design Arena: game dev1070Not measuredOnly GPT-4.1 Mini measured
Design Arena: data viz1034Not measuredOnly GPT-4.1 Mini measured
Design Arena: 3D836Not measuredOnly GPT-4.1 Mini measured
Design Arena: all code categories993Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index250
General benchmarks for GPT-4.1 Mini and Mistral Small 3.1 24B
BenchmarkGPT-4.1 MiniMistral Small 3.1 24BLeader
IFBench38.3%Not measuredOnly GPT-4.1 Mini measured
Long context reasoning (AA-LCR)44.0%Not measuredOnly GPT-4.1 Mini measured
DTBench68.8%Not measuredOnly GPT-4.1 Mini measured
LMCA21.1%Not measuredOnly GPT-4.1 Mini measured
Fiction.LiveBench44.4%Not measuredOnly GPT-4.1 Mini measured
LMArena Text13411277GPT-4.1 Mini
LMArena Text: instruction following13331263GPT-4.1 Mini
LMArena Text: creative writing12991252GPT-4.1 Mini
LMArena Vision11811136GPT-4.1 Mini
LMArena Text: English13561295GPT-4.1 Mini
LMArena Text: non-English13181255GPT-4.1 Mini
LMArena Text: Chinese13291253GPT-4.1 Mini
LMArena Text: German13501266GPT-4.1 Mini
LMArena Text: Japanese12901208GPT-4.1 Mini
LMArena Text: Korean12981207GPT-4.1 Mini
LMArena Text: French13581273GPT-4.1 Mini
LMArena Text: Spanish13191284GPT-4.1 Mini
LMArena Text: Russian13241263GPT-4.1 Mini
LMArena Text: Polish13261242GPT-4.1 Mini
LMArena Text: multi-turn13541270GPT-4.1 Mini
LMArena Text: longer queries13441299GPT-4.1 Mini
LMArena Text: writing and language13191268GPT-4.1 Mini
LMArena Text: entertainment and media13001250GPT-4.1 Mini
LMArena Vision: English11911157GPT-4.1 Mini
LMArena Vision: Chinese11861155GPT-4.1 Mini
LMArena Vision: reading text11881132GPT-4.1 Mini
LMArena Vision: humor11821142GPT-4.1 Mini
LMArena Vision: captioning11741153GPT-4.1 Mini
LMArena Vision: recognizing things11871155GPT-4.1 Mini
LMArena Vision: creative writing11821123GPT-4.1 Mini
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 Mini and Mistral Small 3.1 24B
BenchmarkGPT-4.1 MiniMistral Small 3.1 24BLeader
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 Small 3.1 24B$0.0006Fits in one request

Mistral Small 3.1 24B costs less

Repository review

50K input + 3K output tokens

GPT-4.1 Mini$0.025Fits in one request
Mistral Small 3.1 24B$0.019Fits in one request

Mistral Small 3.1 24B costs less

Agent loop

200K input + 10K output tokens

GPT-4.1 Mini$0.096Fits in one request
Mistral Small 3.1 24B$0.076Exceeds the context window

Mistral Small 3.1 24B 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 Small 3.1 24B
SpecificationOpenAI GPT-4.1 MiniMistral Small 3.1 24B
MakerOpenAIMistral AI
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025March 17, 2025
Context window1.05M128K
Input $/Mtok$0.40$0.351
Output $/Mtok$1.60$0.555
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved task$1.818Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 Mini better than Mistral Small 3.1 24B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4.1 Mini for a larger context window (1.05M against 128K tokens).

Which is cheaper, GPT-4.1 Mini or Mistral Small 3.1 24B?

GPT-4.1 Mini costs $0.40 per million input tokens and $1.60 per million output tokens; Mistral Small 3.1 24B costs $0.351 and $0.555. Cost per solved task is known for GPT-4.1 Mini only.

Which has the bigger context window, GPT-4.1 Mini or Mistral Small 3.1 24B?

GPT-4.1 Mini, with 1.05M tokens against 128K.

How many benchmarks is the GPT-4.1 Mini vs Mistral Small 3.1 24B comparison based on?

38 benchmarks have a result for both models as of October 22, 2026. GPT-4.1 Mini's coding index rests on 0 independent benchmarks and Mistral Small 3.1 24B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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