Enter opens the highlighted result. Esc closes.

GPT-5.1-Codex-Mini vs Mistral Small 3

GPT-5.1-Codex-Mini leads Mistral Small 3 on the Artificial Analysis Intelligence Index, 20.4 to 6.7, and Mistral Small 3 costs 25.0x less per output token ($0.08 vs $2.00 per million). Updated October 21, 2026; 10 benchmarks have a result for both.

Replace GPT-5.1-Codex-Mini Replace Mistral Small 3
GPT-5.1-Codex-MiniOpenAI
Coding
No data
Overall
20.4
Output $/M
$2.00
10
Mistral Small 3Mistral AI
Coding
No data
Overall
6.7
Output $/M
$0.08
0
vs boards won of 10 shared

GPT-5.1-Codex-Mini or Mistral Small 3: which to pick

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

Pick GPT-5.1-Codex-Mini for a larger context window (400K against 33K tokens).

Model AGPT-5.1-Codex-MiniOpenAINot benchmarked1 independent benchmarkNo cost per solved taskModel BMistral Small 3Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
10
GPT-5.1-Codex-Mini only
12
Mistral Small 3 only
26
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-5.1-Codex-Mini not benchmarked, Mistral Small 3 not benchmarked.
Widest category
Math, 87.4 points apart on average over 2 shared benchmarks.
Widest single gap
AA Math Index: GPT-5.1-Codex-Mini 91.7 against Mistral Small 3 4.3, 87.4 points apart on a 0 to 100 scale.
Output price
GPT-5.1-Codex-Mini $2.00 against Mistral Small 3 $0.08 per million output tokens, 25.0x apart.
Context window
GPT-5.1-Codex-Mini takes 400K 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-5.1-Codex-MiniBarsMistral Small 3Ties
Coding10
Intelligence10
Agentic work10
Reasoning20
Math20
Knowledge10
General20
All shared boards100
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
Coding benchmarks for GPT-5.1-Codex-Mini and Mistral Small 3
BenchmarkGPT-5.1-Codex-MiniMistral Small 3Leader
LMArena WebDev1244Not measuredOnly GPT-5.1-Codex-Mini measured
LiveCodeBench (Artificial Analysis run)83.6%25.2%GPT-5.1-Codex-Mini
Terminal-Bench Hard (Artificial Analysis run)33.3%Not measuredOnly GPT-5.1-Codex-Mini measured
Terminal-Bench61.6%Not measuredOnly GPT-5.1-Codex-Mini measured
LMArena Text: codingNot measured1246Only Mistral Small 3 measured
LMArena Text: software and ITNot measured1248Only Mistral Small 3 measured
LMArena WebDev: HTML1253Not measuredOnly GPT-5.1-Codex-Mini measured
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-5.1-Codex-Mini and Mistral Small 3
BenchmarkGPT-5.1-Codex-MiniMistral Small 3Leader
AA Intelligence Index20.46.7GPT-5.1-Codex-Mini
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GPT-5.1-Codex-Mini and Mistral Small 3
BenchmarkGPT-5.1-Codex-MiniMistral Small 3Leader
τ²-Bench Telecom62.9%19.6%GPT-5.1-Codex-Mini
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for GPT-5.1-Codex-Mini and Mistral Small 3
BenchmarkGPT-5.1-Codex-MiniMistral Small 3Leader
GPQA Diamond (Artificial Analysis run)81.3%46.2%GPT-5.1-Codex-Mini
Humanity's Last Exam (Artificial Analysis run)18.5%3.8%GPT-5.1-Codex-Mini
LMArena Text: hard promptsNot measured1233Only Mistral Small 3 measured
LMArena Text: expertNot measured1202Only Mistral Small 3 measured
LMArena Text: hard prompts in EnglishNot measured1243Only Mistral Small 3 measured
Neither model has a result on the other 16 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GPT-5.1-Codex-Mini and Mistral Small 3
BenchmarkGPT-5.1-Codex-MiniMistral Small 3Leader
AA Math Index91.74.3GPT-5.1-Codex-Mini
AIME 2025 (Artificial Analysis run)91.7%4.3%GPT-5.1-Codex-Mini
LMArena Text: mathNot measured1240Only Mistral Small 3 measured
LMArena Text: mathematical workNot measured1243Only Mistral Small 3 measured
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
Knowledge benchmarks for GPT-5.1-Codex-Mini and Mistral Small 3
BenchmarkGPT-5.1-Codex-MiniMistral Small 3Leader
MMLU Pro (Artificial Analysis run)82.0%65.2%GPT-5.1-Codex-Mini
LMArena Text: scienceNot measured1235Only Mistral Small 3 measured
LMArena Text: medicine and healthcareNot measured1215Only Mistral Small 3 measured
LMArena Text: legal and governmentNot measured1219Only Mistral Small 3 measured
LMArena Text: business and financeNot measured1205Only Mistral Small 3 measured
Neither model has a result on the other 12 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GPT-5.1-Codex-Mini and Mistral Small 3
BenchmarkGPT-5.1-Codex-MiniMistral Small 3Leader
Design Arena: websites1111Not measuredOnly GPT-5.1-Codex-Mini measured
Design Arena: UI components1081Not measuredOnly GPT-5.1-Codex-Mini measured
Design Arena: game dev1092Not measuredOnly GPT-5.1-Codex-Mini measured
Design Arena: data viz1097Not measuredOnly GPT-5.1-Codex-Mini measured
Design Arena: 3D988Not measuredOnly GPT-5.1-Codex-Mini measured
Design Arena: all code categories1094Not measuredOnly GPT-5.1-Codex-Mini measured
Design Arena: SVG978Not measuredOnly GPT-5.1-Codex-Mini measured
Design Arena: ASCII art1105Not measuredOnly GPT-5.1-Codex-Mini measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
General benchmarks for GPT-5.1-Codex-Mini and Mistral Small 3
BenchmarkGPT-5.1-Codex-MiniMistral Small 3Leader
IFBench67.9%26.4%GPT-5.1-Codex-Mini
Long context reasoning (AA-LCR)66.7%0.0%GPT-5.1-Codex-Mini
LMArena TextNot measured1234Only Mistral Small 3 measured
LMArena Text: instruction followingNot measured1214Only Mistral Small 3 measured
LMArena Text: creative writingNot measured1194Only Mistral Small 3 measured
LMArena Text: EnglishNot measured1256Only Mistral Small 3 measured
LMArena Text: non-EnglishNot measured1198Only Mistral Small 3 measured
LMArena Text: ChineseNot measured1204Only Mistral Small 3 measured
LMArena Text: GermanNot measured1211Only Mistral Small 3 measured
LMArena Text: JapaneseNot measured1111Only Mistral Small 3 measured
LMArena Text: KoreanNot measured1188Only Mistral Small 3 measured
LMArena Text: FrenchNot measured1204Only Mistral Small 3 measured
LMArena Text: RussianNot measured1216Only Mistral Small 3 measured
LMArena Text: multi-turnNot measured1217Only Mistral Small 3 measured
LMArena Text: longer queriesNot measured1246Only Mistral Small 3 measured
LMArena Text: writing and languageNot measured1214Only Mistral Small 3 measured
LMArena Text: entertainment and mediaNot measured1184Only Mistral Small 3 measured
Neither model has a result on the other 29 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5.1-Codex-Mini and Mistral Small 3
BenchmarkGPT-5.1-Codex-MiniMistral 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-5.1-Codex-Mini$0.0013Fits in one request
Mistral Small 3$0.0001Fits in one request

Mistral Small 3 costs less

Repository review

50K input + 3K output tokens

GPT-5.1-Codex-Mini$0.018Fits in one request
Mistral Small 3$0.0027Exceeds the context window

Mistral Small 3 costs less

Agent loop

200K input + 10K output tokens

GPT-5.1-Codex-Mini$0.070Fits 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-5.1-Codex-Mini and Mistral Small 3
SpecificationOpenAI GPT-5.1-Codex-MiniMistral Small 3
MakerOpenAIMistral AI
WeightsNo public weights listedOpen weights
ReleasedNovember 13, 2025January 30, 2025
Context window400K33K
Input $/Mtok$0.25$0.05
Output $/Mtok$2.00$0.08
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.1-Codex-Mini better than Mistral Small 3 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-5.1-Codex-Mini for a larger context window (400K against 33K tokens).

Which is cheaper, GPT-5.1-Codex-Mini or Mistral Small 3?

GPT-5.1-Codex-Mini costs $0.25 per million input tokens and $2.00 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-5.1-Codex-Mini or Mistral Small 3?

GPT-5.1-Codex-Mini, with 400K tokens against 33K.

How many benchmarks is the GPT-5.1-Codex-Mini vs Mistral Small 3 comparison based on?

10 benchmarks have a result for both models as of October 21, 2026. GPT-5.1-Codex-Mini's coding index rests on 1 independent benchmark and Mistral Small 3's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next