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Granite 4.2 8B vs Mistral Medium 3

Granite 4.2 8B leads Mistral Medium 3 on the Artificial Analysis Intelligence Index, 11.1 to 9.0, and Granite 4.2 8B costs 10.0x less per output token ($0.20 vs $2.00 per million). Updated October 22, 2026; 24 benchmarks have a result for both.

Granite 4.2 8BIBM Granite
Coding
No data
Overall
No data
Output $/M
$0.20
5
Mistral Medium 3Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
19
vs boards won of 24 shared

Granite 4.2 8B or Mistral Medium 3: 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 10.0x cheaper ($0.20 vs $2.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Shared results
24
Granite 4.2 8B only
3
Mistral Medium 3 only
33
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
Granite 4.2 8B not benchmarked, Mistral Medium 3 not benchmarked.
Widest category
General, 10.1 points apart on average over 12 shared benchmarks.
Widest single gap
LMArena Text: creative writing: Granite 4.2 8B 1236 against Mistral Medium 3 1343, 17.9 points apart on a 0 to 100 scale.
Output price
Granite 4.2 8B $0.20 against Mistral Medium 3 $2.00 per million output tokens, 10.0x apart.
Context window
Both take 131K tokens.

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 Medium 3Ties
Coding02
Intelligence10
Reasoning32
Knowledge04
General111
All shared boards519
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Granite 4.2 8B and Mistral Medium 3
BenchmarkGranite 4.2 8BMistral Medium 3Leader
AA Coding Index22.4Not measuredOnly Granite 4.2 8B measured
LiveCodeBench (Artificial Analysis run)Not measured40.0%Only Mistral Medium 3 measured
SciCode31.5%Not measuredOnly Granite 4.2 8B measured
Terminal-Bench Hard (Artificial Analysis run)Not measured3.8%Only Mistral Medium 3 measured
LMArena Text: coding13781385Mistral Medium 3
LMArena Text: software and IT13671385Mistral Medium 3
Neither model has a result on the other 33 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Granite 4.2 8B and Mistral Medium 3
BenchmarkGranite 4.2 8BMistral Medium 3Leader
AA Intelligence Index11.19.0Granite 4.2 8B
Epoch Capabilities IndexNot measured134.0Only Mistral Medium 3 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for Granite 4.2 8B and Mistral Medium 3
BenchmarkGranite 4.2 8BMistral Medium 3Leader
AA Agentic Index1.3Not measuredOnly Granite 4.2 8B measured
τ²-Bench TelecomNot measured24.3%Only Mistral Medium 3 measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
Reasoning benchmarks for Granite 4.2 8B and Mistral Medium 3
BenchmarkGranite 4.2 8BMistral Medium 3Leader
GPQA Diamond (Artificial Analysis run)63.1%57.8%Granite 4.2 8B
Humanity's Last Exam (Artificial Analysis run)9.7%4.1%Granite 4.2 8B
LMArena Text: hard prompts13271364Mistral Medium 3
LMArena Text: expert13861342Granite 4.2 8B
LMArena Text: hard prompts in English13451374Mistral Medium 3
LMArena Vision: diagramsNot measured1155Only Mistral Medium 3 measured
LMArena Vision: homeworkNot measured1165Only Mistral Medium 3 measured
Neither model has a result on the other 15 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Math benchmarks for Granite 4.2 8B and Mistral Medium 3
BenchmarkGranite 4.2 8BMistral Medium 3Leader
AA Math IndexNot measured30.3Only Mistral Medium 3 measured
AIME 2025 (Artificial Analysis run)Not measured30.3%Only Mistral Medium 3 measured
LMArena Text: mathNot measured1353Only Mistral Medium 3 measured
LMArena Text: mathematical workNot measured1354Only Mistral Medium 3 measured
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Granite 4.2 8B and Mistral Medium 3
BenchmarkGranite 4.2 8BMistral Medium 3Leader
MMLU Pro (Artificial Analysis run)Not measured76.0%Only Mistral Medium 3 measured
LMArena Text: science13361381Mistral Medium 3
LMArena Text: medicine and healthcare13361381Mistral Medium 3
LMArena Text: legal and government13271384Mistral Medium 3
LMArena Text: business and finance13221352Mistral Medium 3
Neither model has a result on the other 13 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for Granite 4.2 8B and Mistral Medium 3
BenchmarkGranite 4.2 8BMistral Medium 3Leader
Design Arena: websitesNot measured1079Only Mistral Medium 3 measured
Design Arena: UI componentsNot measured1022Only Mistral Medium 3 measured
Design Arena: game devNot measured1017Only Mistral Medium 3 measured
Design Arena: data vizNot measured1034Only Mistral Medium 3 measured
Design Arena: 3DNot measured1083Only Mistral Medium 3 measured
Design Arena: all code categoriesNot measured1068Only Mistral Medium 3 measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index111
General benchmarks for Granite 4.2 8B and Mistral Medium 3
BenchmarkGranite 4.2 8BMistral Medium 3Leader
IFBenchNot measured39.3%Only Mistral Medium 3 measured
Long context reasoning (AA-LCR)45.0%31.3%Granite 4.2 8B
DTBenchNot measured62.3%Only Mistral Medium 3 measured
LMArena Text13191370Mistral Medium 3
LMArena Text: instruction following13001338Mistral Medium 3
LMArena Text: creative writing12361343Mistral Medium 3
LMArena VisionNot measured1157Only Mistral Medium 3 measured
LMArena Text: English13371385Mistral Medium 3
LMArena Text: non-English13011353Mistral Medium 3
LMArena Text: Chinese13671374Mistral Medium 3
LMArena Text: GermanNot measured1377Only Mistral Medium 3 measured
LMArena Text: JapaneseNot measured1316Only Mistral Medium 3 measured
LMArena Text: KoreanNot measured1304Only Mistral Medium 3 measured
LMArena Text: FrenchNot measured1368Only Mistral Medium 3 measured
LMArena Text: SpanishNot measured1364Only Mistral Medium 3 measured
LMArena Text: Russian12821359Mistral Medium 3
LMArena Text: PolishNot measured1371Only Mistral Medium 3 measured
LMArena Text: multi-turn13011384Mistral Medium 3
LMArena Text: longer queries13251360Mistral Medium 3
LMArena Text: writing and language12691352Mistral Medium 3
LMArena Text: entertainment and media12711335Mistral Medium 3
LMArena Vision: EnglishNot measured1172Only Mistral Medium 3 measured
LMArena Vision: ChineseNot measured1161Only Mistral Medium 3 measured
LMArena Vision: reading textNot measured1154Only Mistral Medium 3 measured
LMArena Vision: humorNot measured1145Only Mistral Medium 3 measured
LMArena Vision: captioningNot measured1094Only Mistral Medium 3 measured
LMArena Vision: recognizing thingsNot measured1141Only Mistral Medium 3 measured
LMArena Vision: creative writingNot measured1146Only Mistral Medium 3 measured
Neither model has a result on the other 18 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 Medium 3
BenchmarkGranite 4.2 8BMistral Medium 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

Granite 4.2 8B$0.0002Fits in one request
Mistral Medium 3$0.0014Fits 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 Medium 3$0.026Fits 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 Medium 3$0.100Exceeds 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 Medium 3
SpecificationIBM Granite 4.2 8BMistral Medium 3
MakerIBM GraniteMistral AI
WeightsOpen weightsNo public weights listed
ReleasedAugust 31, 2026May 7, 2025
Context window131K131K
Input $/Mtok$0.08$0.40
Output $/Mtok$0.20$2.00
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 Medium 3 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 10.0x cheaper ($0.20 vs $2.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Granite 4.2 8B or Mistral Medium 3?

Granite 4.2 8B costs $0.08 per million input tokens and $0.20 per million output tokens; Mistral Medium 3 costs $0.40 and $2.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Granite 4.2 8B or Mistral Medium 3?

Neither: both take 131K tokens.

How many benchmarks is the Granite 4.2 8B vs Mistral Medium 3 comparison based on?

24 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 Medium 3's on 0. Where only one model has a result, the page says so instead of naming a winner.

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