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GPT-4.1 Mini vs Mistral Small 3.2 24B

Mistral Small 3.2 24B costs 5.3x less per output token than GPT-4.1 Mini ($0.30 vs $1.60 per million). Updated October 21, 2026; 5 benchmarks have a result for both.

Replace GPT-4.1 Mini Replace Mistral Small 3.2 24B
GPT-4.1 MiniOpenAI
Coding
No data
Overall
31.9
Output $/M
$1.60
5
Mistral Small 3.2 24BMistral AI
Coding
No data
Overall
No data
Output $/M
$0.30
0
vs boards won of 5 shared

GPT-4.1 Mini or Mistral Small 3.2 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 256K tokens).

Model AGPT-4.1 MiniOpenAINot benchmarkedNo coding benchmark$1.818 per solved taskModel BMistral Small 3.2 24BMistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
5
GPT-4.1 Mini only
81
Mistral Small 3.2 24B only
0
Like-for-like categories
1 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 3.2 24B not benchmarked.
Widest category
Web design, 13.3 points apart on average over 5 shared benchmarks.
Widest single gap
Design Arena: game dev: GPT-4.1 Mini 1071 against Mistral Small 3.2 24B 888, 22.9 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Mini $1.60 against Mistral Small 3.2 24B $0.30 per million output tokens, 5.3x apart.
Context window
GPT-4.1 Mini takes 1.05M tokens, Mistral Small 3.2 24B 256K.

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 3.2 24BTies
Web design50
All shared boards50
CodingDirectional onlySix of these boards feed the Vibe Coding Index9 boards, none shared
Coding benchmarks for GPT-4.1 Mini and Mistral Small 3.2 24B
BenchmarkGPT-4.1 MiniMistral Small 3.2 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: coding1367Not measuredOnly GPT-4.1 Mini measured
LMArena Text: software and IT1360Not measuredOnly GPT-4.1 Mini measured
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 3.2 24B
BenchmarkGPT-4.1 MiniMistral Small 3.2 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 3.2 24B
BenchmarkGPT-4.1 MiniMistral Small 3.2 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
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index15 boards, none shared
Reasoning benchmarks for GPT-4.1 Mini and Mistral Small 3.2 24B
BenchmarkGPT-4.1 MiniMistral Small 3.2 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 prompts1349Not measuredOnly GPT-4.1 Mini measured
LMArena Text: expert1338Not measuredOnly GPT-4.1 Mini measured
LMArena Text: hard prompts in English1362Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: diagrams1182Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: homework1214Not measuredOnly GPT-4.1 Mini measured
Kagi LLM Benchmark48.6%Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 7 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Math benchmarks for GPT-4.1 Mini and Mistral Small 3.2 24B
BenchmarkGPT-4.1 MiniMistral Small 3.2 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: math1343Not measuredOnly GPT-4.1 Mini measured
LMArena Text: mathematical work1347Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 3 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Knowledge benchmarks for GPT-4.1 Mini and Mistral Small 3.2 24B
BenchmarkGPT-4.1 MiniMistral Small 3.2 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: science1328Not measuredOnly GPT-4.1 Mini measured
LMArena Text: medicine and healthcare1324Not measuredOnly GPT-4.1 Mini measured
LMArena Text: legal and government1343Not measuredOnly GPT-4.1 Mini measured
LMArena Text: business and finance1322Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for GPT-4.1 Mini and Mistral Small 3.2 24B
BenchmarkGPT-4.1 MiniMistral Small 3.2 24BLeader
Design Arena: websites997896GPT-4.1 Mini
Design Arena: UI components961907GPT-4.1 Mini
Design Arena: game dev1071888GPT-4.1 Mini
Design Arena: data viz1034929GPT-4.1 Mini
Design Arena: 3D837Not measuredOnly GPT-4.1 Mini measured
Design Arena: all code categories994907GPT-4.1 Mini
Neither model has a result on the other 3 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index30 boards, none shared
General benchmarks for GPT-4.1 Mini and Mistral Small 3.2 24B
BenchmarkGPT-4.1 MiniMistral Small 3.2 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 Text1341Not measuredOnly GPT-4.1 Mini measured
LMArena Text: instruction following1333Not measuredOnly GPT-4.1 Mini measured
LMArena Text: creative writing1299Not measuredOnly GPT-4.1 Mini measured
LMArena Vision1181Not measuredOnly GPT-4.1 Mini measured
LMArena Text: English1356Not measuredOnly GPT-4.1 Mini measured
LMArena Text: non-English1318Not measuredOnly GPT-4.1 Mini measured
LMArena Text: Chinese1329Not measuredOnly GPT-4.1 Mini measured
LMArena Text: German1350Not measuredOnly GPT-4.1 Mini measured
LMArena Text: Japanese1290Not measuredOnly GPT-4.1 Mini measured
LMArena Text: Korean1298Not measuredOnly GPT-4.1 Mini measured
LMArena Text: French1358Not measuredOnly GPT-4.1 Mini measured
LMArena Text: Spanish1319Not measuredOnly GPT-4.1 Mini measured
LMArena Text: Russian1324Not measuredOnly GPT-4.1 Mini measured
LMArena Text: Polish1326Not measuredOnly GPT-4.1 Mini measured
LMArena Text: multi-turn1354Not measuredOnly GPT-4.1 Mini measured
LMArena Text: longer queries1344Not measuredOnly GPT-4.1 Mini measured
LMArena Text: writing and language1319Not measuredOnly GPT-4.1 Mini measured
LMArena Text: entertainment and media1300Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: English1191Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: Chinese1186Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: reading text1188Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: humor1182Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: captioning1174Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: recognizing things1187Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: creative writing1182Not measuredOnly GPT-4.1 Mini 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 Mini and Mistral Small 3.2 24B
BenchmarkGPT-4.1 MiniMistral Small 3.2 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 3.2 24B$0.0003Fits in one request

Mistral Small 3.2 24B costs less

Repository review

50K input + 3K output tokens

GPT-4.1 Mini$0.025Fits in one request
Mistral Small 3.2 24B$0.0059Fits in one request

Mistral Small 3.2 24B costs less

Agent loop

200K input + 10K output tokens

GPT-4.1 Mini$0.096Fits in one request
Mistral Small 3.2 24B$0.023Fits in one request

Mistral Small 3.2 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 3.2 24B
SpecificationOpenAI GPT-4.1 MiniMistral Small 3.2 24B
MakerOpenAIMistral AI
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025June 20, 2025
Context window1.05M256K
Input $/Mtok$0.40$0.10
Output $/Mtok$1.60$0.30
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 3.2 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 256K tokens).

Which is cheaper, GPT-4.1 Mini or Mistral Small 3.2 24B?

GPT-4.1 Mini costs $0.40 per million input tokens and $1.60 per million output tokens; Mistral Small 3.2 24B costs $0.10 and $0.30. 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 3.2 24B?

GPT-4.1 Mini, with 1.05M tokens against 256K.

How many benchmarks is the GPT-4.1 Mini vs Mistral Small 3.2 24B comparison based on?

5 benchmarks have a result for both models as of October 21, 2026. GPT-4.1 Mini's coding index rests on 0 independent benchmarks and Mistral Small 3.2 24B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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