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GPT-5 vs Mistral Small 3.1 24B

Mistral Small 3.1 24B costs 18.0x less per output token than GPT-5 ($0.555 vs $10.00 per million). Updated October 22, 2026; 38 benchmarks have a result for both.

Replace GPT-5 Replace Mistral Small 3.1 24B
GPT-5OpenAI
Coding
38.8
Overall
51.5
Output $/M
$10.00
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-5 or Mistral Small 3.1 24B: which to pick

Only GPT-5 has a coding score, 38.8 on the Vibe Coding Index; Mistral Small 3.1 24B has none, so the two cannot be ranked on coding.

Pick Mistral Small 3.1 24B for output tokens 18.0x cheaper ($0.555 vs $10.00 per million).

Model AGPT-5OpenAI38.8/1003 independent benchmarks$0.39 per solved taskModel BMistral Small 3.1 24BMistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
38
GPT-5 only
75
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-5 38.8 from 3 benchmarks, Mistral Small 3.1 24B not benchmarked.
Widest category
Knowledge, 25.0 points apart on average over 4 shared benchmarks.
Widest single gap
LMArena Text: Japanese: GPT-5 1409 against Mistral Small 3.1 24B 1208, 33.5 points apart on a 0 to 100 scale.
Output price
GPT-5 $10.00 against Mistral Small 3.1 24B $0.555 per million output tokens, 18.0x apart.
Context window
GPT-5 takes 400K 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-5BarsMistral 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-5 and Mistral Small 3.1 24B
BenchmarkGPT-5Mistral Small 3.1 24BLeader
Aider polyglot88.0%Not measuredOnly GPT-5 measured
SWE-bench Verified74.4%Not measuredOnly GPT-5 measured
LMArena WebDev1418Not measuredOnly GPT-5 measured
AA Coding Index37.8Not measuredOnly GPT-5 measured
LiveCodeBench (Vals AI)85.9%Not measuredOnly GPT-5 measured
SWE-bench Verified (Vals AI)69.0%Not measuredOnly GPT-5 measured
Vibe Code Bench (Vals AI)20.1%Not measuredOnly GPT-5 measured
LiveCodeBench (Artificial Analysis run)84.6%Not measuredOnly GPT-5 measured
Terminal-Bench Hard (Artificial Analysis run)37.9%Not measuredOnly GPT-5 measured
Terminal-Bench49.6%Not measuredOnly GPT-5 measured
GSO-Bench6.9%Not measuredOnly GPT-5 measured
WeirdML60.7%Not measuredOnly GPT-5 measured
ALE-Bench807.6Not measuredOnly GPT-5 measured
LMArena Text: coding14361309GPT-5
LMArena Text: software and IT14201301GPT-5
LMArena WebDev: HTML1427Not measuredOnly GPT-5 measured
SciCode0.0%Not measuredOnly GPT-5 measured
Neither model has a result on the other 22 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for GPT-5 and Mistral Small 3.1 24B
BenchmarkGPT-5Mistral Small 3.1 24BLeader
AA Intelligence Index23.0Not measuredOnly GPT-5 measured
Epoch Capabilities Index150.0Not measuredOnly GPT-5 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Agentic work benchmarks for GPT-5 and Mistral Small 3.1 24B
BenchmarkGPT-5Mistral Small 3.1 24BLeader
τ²-Bench Telecom86.5%Not measuredOnly GPT-5 measured
METR time horizons69.6%Not measuredOnly GPT-5 measured
Remote Labor Index1.7%Not measuredOnly GPT-5 measured
GDPval34.8%Not measuredOnly GPT-5 measured
BALROG32.8%Not measuredOnly GPT-5 measured
DeepResearch Bench49.6%Not measuredOnly GPT-5 measured
BrowseComp-Plus80.0%Not measuredOnly GPT-5 measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for GPT-5 and Mistral Small 3.1 24B
BenchmarkGPT-5Mistral Small 3.1 24BLeader
GPQA Diamond85.6%Not measuredOnly GPT-5 measured
MMMU Pro (Vals AI)81.5%Not measuredOnly GPT-5 measured
GPQA Diamond (Artificial Analysis run)85.4%Not measuredOnly GPT-5 measured
Humanity's Last Exam (Artificial Analysis run)28.5%Not measuredOnly GPT-5 measured
GPQA Diamond (Epoch AI run)86.2%Not measuredOnly GPT-5 measured
ARC-AGI65.7%Not measuredOnly GPT-5 measured
ARC-AGI-29.9%Not measuredOnly GPT-5 measured
SimpleBench56.7%Not measuredOnly GPT-5 measured
Chess puzzles36.0%Not measuredOnly GPT-5 measured
Mystery game puzzles23.0%Not measuredOnly GPT-5 measured
EBR-bench12.7%Not measuredOnly GPT-5 measured
VPCT66.0%Not measuredOnly GPT-5 measured
LMArena Text: hard prompts14151278GPT-5
LMArena Text: expert14191257GPT-5
LMArena Text: hard prompts in English14191290GPT-5
LMArena Vision: diagrams12521119GPT-5
LMArena Vision: homework12781158GPT-5
Kagi LLM Benchmark72.7%Not measuredOnly GPT-5 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GPT-5 and Mistral Small 3.1 24B
BenchmarkGPT-5Mistral Small 3.1 24BLeader
AIME93.4%Not measuredOnly GPT-5 measured
MATH 500 (Vals AI)96.0%Not measuredOnly GPT-5 measured
MGSM (Vals AI)92.8%Not measuredOnly GPT-5 measured
AA Math Index94.3Not measuredOnly GPT-5 measured
AIME 2025 (Artificial Analysis run)94.3%Not measuredOnly GPT-5 measured
OTIS Mock AIME91.4%Not measuredOnly GPT-5 measured
FrontierMath, tiers 1 to 355.4%Not measuredOnly GPT-5 measured
FrontierMath, tier 422.0%Not measuredOnly GPT-5 measured
ProofBench18.0%Not measuredOnly GPT-5 measured
MATH level 598.1%Not measuredOnly GPT-5 measured
LMArena Text: math14071261GPT-5
LMArena Text: mathematical work14051271GPT-5
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for GPT-5 and Mistral Small 3.1 24B
BenchmarkGPT-5Mistral Small 3.1 24BLeader
MMLU Pro86.5%Not measuredOnly GPT-5 measured
LegalBench (Vals AI)86.0%Not measuredOnly GPT-5 measured
CaseLaw (Vals AI)66.5%Not measuredOnly GPT-5 measured
CorpFin (Vals AI)61.1%Not measuredOnly GPT-5 measured
TaxEval (Vals AI)73.4%Not measuredOnly GPT-5 measured
MortgageTax (Vals AI)65.5%Not measuredOnly GPT-5 measured
MedQA (Vals AI)96.3%Not measuredOnly GPT-5 measured
MedCode (Vals AI)49.6%Not measuredOnly GPT-5 measured
MMLU Pro (Artificial Analysis run)87.1%Not measuredOnly GPT-5 measured
SimpleQA Verified50.1%Not measuredOnly GPT-5 measured
GeoBench81.0%Not measuredOnly GPT-5 measured
LMArena Text: science14161265GPT-5
LMArena Text: medicine and healthcare14131267GPT-5
LMArena Text: legal and government14311271GPT-5
LMArena Text: business and finance14001257GPT-5
FACTS Benchmark Suite56.5%Not measuredOnly GPT-5 measured
Neither model has a result on the other 2 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GPT-5 and Mistral Small 3.1 24B
BenchmarkGPT-5Mistral Small 3.1 24BLeader
Design Arena: websites1184Not measuredOnly GPT-5 measured
Design Arena: UI components1177Not measuredOnly GPT-5 measured
Design Arena: game dev1185Not measuredOnly GPT-5 measured
Design Arena: data viz1221Not measuredOnly GPT-5 measured
Design Arena: 3D1055Not measuredOnly GPT-5 measured
Design Arena: all code categories1167Not measuredOnly GPT-5 measured
Design Arena: SVG1188Not measuredOnly GPT-5 measured
Design Arena: ASCII art1141Not measuredOnly GPT-5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index250
General benchmarks for GPT-5 and Mistral Small 3.1 24B
BenchmarkGPT-5Mistral Small 3.1 24BLeader
SAGE (Vals AI)43.7%Not measuredOnly GPT-5 measured
MedScribe (Vals AI)83.7%Not measuredOnly GPT-5 measured
IFBench73.1%Not measuredOnly GPT-5 measured
Long context reasoning (AA-LCR)78.2%Not measuredOnly GPT-5 measured
DTBench90.7%Not measuredOnly GPT-5 measured
LMCA40.0%Not measuredOnly GPT-5 measured
Fiction.LiveBench97.2%Not measuredOnly GPT-5 measured
Creative writing (Lech Mazur)86.0%Not measuredOnly GPT-5 measured
LMArena Text14061277GPT-5
LMArena Text: instruction following13881263GPT-5
LMArena Text: creative writing13651252GPT-5
LMArena Vision12321136GPT-5
LMArena Text: English14091295GPT-5
LMArena Text: non-English13971255GPT-5
LMArena Text: Chinese14221253GPT-5
LMArena Text: German14161266GPT-5
LMArena Text: Japanese14091208GPT-5
LMArena Text: Korean13601207GPT-5
LMArena Text: French14091273GPT-5
LMArena Text: Spanish13991284GPT-5
LMArena Text: Russian14071263GPT-5
LMArena Text: Polish14311242GPT-5
LMArena Text: multi-turn14261270GPT-5
LMArena Text: longer queries13991299GPT-5
LMArena Text: writing and language13841268GPT-5
LMArena Text: entertainment and media13791250GPT-5
LMArena Vision: English12311157GPT-5
LMArena Vision: Chinese12671155GPT-5
LMArena Vision: reading text12461132GPT-5
LMArena Vision: humor12191142GPT-5
LMArena Vision: captioning12121153GPT-5
LMArena Vision: recognizing things12631155GPT-5
LMArena Vision: creative writing12101123GPT-5
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5 and Mistral Small 3.1 24B
BenchmarkGPT-5Mistral 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-5$0.0063Fits 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-5$0.092Fits 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-5$0.350Fits 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-5 and Mistral Small 3.1 24B
SpecificationOpenAI GPT-5Mistral Small 3.1 24B
MakerOpenAIMistral AI
WeightsNo public weights listedOpen weights
ReleasedAugust 7, 2025March 17, 2025
Context window400K128K
Input $/Mtok$1.25$0.351
Output $/Mtok$10.00$0.555
Coding index38.8Not benchmarked
Independent measurements behind it30
Cost per solved task$0.39Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5 better than Mistral Small 3.1 24B for coding?

Only GPT-5 has a coding score, 38.8 on the Vibe Coding Index; Mistral Small 3.1 24B has none, so the two cannot be ranked on coding. Pick Mistral Small 3.1 24B for output tokens 18.0x cheaper ($0.555 vs $10.00 per million).

Which is cheaper, GPT-5 or Mistral Small 3.1 24B?

GPT-5 costs $1.25 per million input tokens and $10.00 per million output tokens; Mistral Small 3.1 24B costs $0.351 and $0.555. Cost per solved task is known for GPT-5 only.

Which has the bigger context window, GPT-5 or Mistral Small 3.1 24B?

GPT-5, with 400K tokens against 128K.

How many benchmarks is the GPT-5 vs Mistral Small 3.1 24B comparison based on?

38 benchmarks have a result for both models as of October 22, 2026. GPT-5's coding index rests on 3 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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