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Granite 4.2 8B vs Mistral Small 3.1 24B

Granite 4.2 8B costs 2.8x less per output token than Mistral Small 3.1 24B ($0.20 vs $0.555 per million). Updated October 22, 2026; 20 benchmarks have a result for both.

Replace Granite 4.2 8B Replace Mistral Small 3.1 24B
Granite 4.2 8BIBM Granite
Coding
No data
Overall
No data
Output $/M
$0.20
19
Mistral Small 3.1 24BMistral AI
Coding
No data
Overall
No data
Output $/M
$0.555
1
vs boards won of 20 shared

Granite 4.2 8B 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 Granite 4.2 8B for output tokens 2.8x cheaper ($0.20 vs $0.555 per million) and a larger context window (131K against 128K tokens).

Model AGranite 4.2 8BIBM GraniteNot benchmarkedNo coding benchmarkNo cost per solved taskModel BMistral Small 3.1 24BMistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
20
Granite 4.2 8B only
7
Mistral Small 3.1 24B only
18
Like-for-like categories
4 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
Granite 4.2 8B not benchmarked, Mistral Small 3.1 24B not benchmarked.
Widest category
Reasoning, 12.9 points apart on average over 3 shared benchmarks.
Widest single gap
LMArena Text: expert: Granite 4.2 8B 1386 against Mistral Small 3.1 24B 1257, 21.4 points apart on a 0 to 100 scale.
Output price
Granite 4.2 8B $0.20 against Mistral Small 3.1 24B $0.555 per million output tokens, 2.8x apart.
Context window
Granite 4.2 8B takes 131K 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
CategoryGranite 4.2 8BBarsMistral Small 3.1 24BTies
Coding20
Reasoning30
Knowledge40
General101
All shared boards191
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Granite 4.2 8B and Mistral Small 3.1 24B
BenchmarkGranite 4.2 8BMistral Small 3.1 24BLeader
AA Coding Index22.4Not measuredOnly Granite 4.2 8B measured
SciCode31.5%Not measuredOnly Granite 4.2 8B measured
LMArena Text: coding13781309Granite 4.2 8B
LMArena Text: software and IT13671301Granite 4.2 8B
Neither model has a result on the other 39 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Granite 4.2 8B and Mistral Small 3.1 24B
BenchmarkGranite 4.2 8BMistral Small 3.1 24BLeader
AA Intelligence Index11.1Not measuredOnly Granite 4.2 8B measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for Granite 4.2 8B and Mistral Small 3.1 24B
BenchmarkGranite 4.2 8BMistral Small 3.1 24BLeader
AA Agentic Index1.3Not measuredOnly Granite 4.2 8B measured
Neither model has a result on the other 41 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for Granite 4.2 8B and Mistral Small 3.1 24B
BenchmarkGranite 4.2 8BMistral Small 3.1 24BLeader
GPQA Diamond (Artificial Analysis run)63.1%Not measuredOnly Granite 4.2 8B measured
Humanity's Last Exam (Artificial Analysis run)9.7%Not measuredOnly Granite 4.2 8B measured
LMArena Text: hard prompts13271278Granite 4.2 8B
LMArena Text: expert13861257Granite 4.2 8B
LMArena Text: hard prompts in English13451290Granite 4.2 8B
LMArena Vision: diagramsNot measured1119Only Mistral Small 3.1 24B measured
LMArena Vision: homeworkNot measured1158Only Mistral Small 3.1 24B measured
Neither model has a result on the other 16 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Math benchmarks for Granite 4.2 8B and Mistral Small 3.1 24B
BenchmarkGranite 4.2 8BMistral Small 3.1 24BLeader
LMArena Text: mathNot measured1261Only Mistral Small 3.1 24B measured
LMArena Text: mathematical workNot measured1271Only Mistral Small 3.1 24B measured
Neither model has a result on the other 12 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Granite 4.2 8B and Mistral Small 3.1 24B
BenchmarkGranite 4.2 8BMistral Small 3.1 24BLeader
LMArena Text: science13361265Granite 4.2 8B
LMArena Text: medicine and healthcare13361267Granite 4.2 8B
LMArena Text: legal and government13271271Granite 4.2 8B
LMArena Text: business and finance13221257Granite 4.2 8B
Neither model has a result on the other 16 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Granite 4.2 8B and Mistral Small 3.1 24B
BenchmarkGranite 4.2 8BMistral Small 3.1 24BLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index101
General benchmarks for Granite 4.2 8B and Mistral Small 3.1 24B
BenchmarkGranite 4.2 8BMistral Small 3.1 24BLeader
Long context reasoning (AA-LCR)45.0%Not measuredOnly Granite 4.2 8B measured
LMArena Text13191277Granite 4.2 8B
LMArena Text: instruction following13001263Granite 4.2 8B
LMArena Text: creative writing12361252Mistral Small 3.1 24B
LMArena VisionNot measured1136Only Mistral Small 3.1 24B measured
LMArena Text: English13371295Granite 4.2 8B
LMArena Text: non-English13011255Granite 4.2 8B
LMArena Text: Chinese13671253Granite 4.2 8B
LMArena Text: GermanNot measured1266Only Mistral Small 3.1 24B measured
LMArena Text: JapaneseNot measured1208Only Mistral Small 3.1 24B measured
LMArena Text: KoreanNot measured1207Only Mistral Small 3.1 24B measured
LMArena Text: FrenchNot measured1273Only Mistral Small 3.1 24B measured
LMArena Text: SpanishNot measured1284Only Mistral Small 3.1 24B measured
LMArena Text: Russian12821263Granite 4.2 8B
LMArena Text: PolishNot measured1242Only Mistral Small 3.1 24B measured
LMArena Text: multi-turn13011270Granite 4.2 8B
LMArena Text: longer queries13251299Granite 4.2 8B
LMArena Text: writing and language12691268Granite 4.2 8B
LMArena Text: entertainment and media12711250Granite 4.2 8B
LMArena Vision: EnglishNot measured1157Only Mistral Small 3.1 24B measured
LMArena Vision: ChineseNot measured1155Only Mistral Small 3.1 24B measured
LMArena Vision: reading textNot measured1132Only Mistral Small 3.1 24B measured
LMArena Vision: humorNot measured1142Only Mistral Small 3.1 24B measured
LMArena Vision: captioningNot measured1153Only Mistral Small 3.1 24B measured
LMArena Vision: recognizing thingsNot measured1155Only Mistral Small 3.1 24B measured
LMArena Vision: creative writingNot measured1123Only Mistral Small 3.1 24B measured
Neither model has a result on the other 22 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Granite 4.2 8B and Mistral Small 3.1 24B
BenchmarkGranite 4.2 8BMistral 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

Granite 4.2 8B$0.0002Fits in one request
Mistral Small 3.1 24B$0.0006Fits in one request

Granite 4.2 8B costs less

Repository review

50K input + 3K output tokens

Granite 4.2 8B$0.0046Fits in one request
Mistral Small 3.1 24B$0.019Fits in one request

Granite 4.2 8B costs less

Agent loop

200K input + 10K output tokens

Granite 4.2 8B$0.018Exceeds the context window
Mistral Small 3.1 24B$0.076Exceeds the context window

Granite 4.2 8B 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 Granite 4.2 8B and Mistral Small 3.1 24B
SpecificationIBM Granite 4.2 8BMistral Small 3.1 24B
MakerIBM GraniteMistral AI
WeightsOpen weightsOpen weights
ReleasedAugust 31, 2026March 17, 2025
Context window131K128K
Input $/Mtok$0.08$0.351
Output $/Mtok$0.20$0.555
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Granite 4.2 8B 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 Granite 4.2 8B for output tokens 2.8x cheaper ($0.20 vs $0.555 per million) and a larger context window (131K against 128K tokens).

Which is cheaper, Granite 4.2 8B or Mistral Small 3.1 24B?

Granite 4.2 8B costs $0.08 per million input tokens and $0.20 per million output tokens; Mistral Small 3.1 24B costs $0.351 and $0.555. Cost per solved task is known for neither of them.

Which has the bigger context window, Granite 4.2 8B or Mistral Small 3.1 24B?

Granite 4.2 8B, with 131K tokens against 128K.

How many benchmarks is the Granite 4.2 8B vs Mistral Small 3.1 24B comparison based on?

20 benchmarks have a result for both models as of October 22, 2026. Granite 4.2 8B'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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