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Gemma 3 12B vs Mistral Medium 3.1

Mistral Medium 3.1 leads Gemma 3 12B on the Artificial Analysis Intelligence Index, 9.2 to 3.8, and Gemma 3 12B costs 12.3x less per output token ($0.1625 vs $2.00 per million). Updated October 21, 2026; 38 benchmarks have a result for both.

Replace Gemma 3 12B Replace Mistral Medium 3.1
Gemma 3 12BGoogle
Coding
No data
Overall
28.0
Output $/M
$0.1625
0
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
38
vs boards won of 38 shared

Gemma 3 12B or Mistral Medium 3.1: which to pick

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

Pick Gemma 3 12B for output tokens 12.3x cheaper ($0.1625 vs $2.00 per million) and work measured by AA Coding Index or LiveCodeBench (Artificial Analysis run), where it leads.

Model AGemma 3 12BGoogleNot benchmarkedNo coding benchmarkNo cost per solved taskModel BMistral Medium 3.1Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
38
Gemma 3 12B only
5
Mistral Medium 3.1 only
36
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
Gemma 3 12B not benchmarked, Mistral Medium 3.1 not benchmarked.
Widest category
Coding, 18.9 points apart on average over 6 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Gemma 3 12B 8.3% against Mistral Medium 3.1 42.7%, 34.3 points apart on a 0 to 100 scale.
Output price
Gemma 3 12B $0.1625 against Mistral Medium 3.1 $2.00 per million output tokens, 12.3x 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
CategoryGemma 3 12BBarsMistral Medium 3.1Ties
Coding06
Intelligence01
Agentic work02
Reasoning05
Math04
Knowledge05
General015
All shared boards038
CodingLike-for-likeSix of these boards feed the Vibe Coding Index06
Coding benchmarks for Gemma 3 12B and Mistral Medium 3.1
BenchmarkGemma 3 12BMistral Medium 3.1Leader
AA Coding Index5.820.5Mistral Medium 3.1
LiveCodeBench (Vals AI)Not measured44.8%Only Mistral Medium 3.1 measured
LiveCodeBench (Artificial Analysis run)13.7%40.6%Mistral Medium 3.1
SciCode16.4%32.4%Mistral Medium 3.1
Terminal-Bench Hard (Artificial Analysis run)0.8%10.6%Mistral Medium 3.1
ALE-BenchNot measured210.2Only Mistral Medium 3.1 measured
LMArena Text: coding12811433Mistral Medium 3.1
LMArena Text: software and IT13131436Mistral Medium 3.1
SciCode0.0%Not measuredOnly Gemma 3 12B measured
Neither model has a result on the other 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemma 3 12B and Mistral Medium 3.1
BenchmarkGemma 3 12BMistral Medium 3.1Leader
AA Intelligence Index3.89.2Mistral Medium 3.1
Epoch Capabilities Index123.5Not measuredOnly Gemma 3 12B measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Gemma 3 12B and Mistral Medium 3.1
BenchmarkGemma 3 12BMistral Medium 3.1Leader
AA Agentic Index0.11.9Mistral Medium 3.1
τ²-Bench Telecom10.8%40.6%Mistral Medium 3.1
Berkeley Function Calling Leaderboard (BFCL)30.4%Not measuredOnly Gemma 3 12B measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Gemma 3 12B and Mistral Medium 3.1
BenchmarkGemma 3 12BMistral Medium 3.1Leader
MMMU Pro (Vals AI)Not measured63.0%Only Mistral Medium 3.1 measured
GPQA Diamond (Artificial Analysis run)34.9%58.8%Mistral Medium 3.1
Humanity's Last Exam (Artificial Analysis run)4.2%4.7%Mistral Medium 3.1
GPQA Diamond (Epoch AI run)39.5%Not measuredOnly Gemma 3 12B measured
LMArena Text: hard prompts13091426Mistral Medium 3.1
LMArena Text: expert12481408Mistral Medium 3.1
LMArena Text: hard prompts in English13181435Mistral Medium 3.1
LMArena Vision: diagramsNot measured1175Only Mistral Medium 3.1 measured
LMArena Vision: homeworkNot measured1165Only Mistral Medium 3.1 measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for Gemma 3 12B and Mistral Medium 3.1
BenchmarkGemma 3 12BMistral Medium 3.1Leader
AIMENot measured42.3%Only Mistral Medium 3.1 measured
MATH 500 (Vals AI)Not measured87.0%Only Mistral Medium 3.1 measured
MGSM (Vals AI)Not measured90.9%Only Mistral Medium 3.1 measured
AA Math Index18.338.3Mistral Medium 3.1
AIME 2025 (Artificial Analysis run)18.3%38.3%Mistral Medium 3.1
OTIS Mock AIME16.7%Not measuredOnly Gemma 3 12B measured
LMArena Text: math13071408Mistral Medium 3.1
LMArena Text: mathematical work13361412Mistral Medium 3.1
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for Gemma 3 12B and Mistral Medium 3.1
BenchmarkGemma 3 12BMistral Medium 3.1Leader
MMLU ProNot measured75.3%Only Mistral Medium 3.1 measured
LegalBench (Vals AI)Not measured62.0%Only Mistral Medium 3.1 measured
CorpFin (Vals AI)Not measured50.7%Only Mistral Medium 3.1 measured
TaxEval (Vals AI)Not measured70.3%Only Mistral Medium 3.1 measured
MortgageTax (Vals AI)Not measured36.5%Only Mistral Medium 3.1 measured
MedQA (Vals AI)Not measured78.2%Only Mistral Medium 3.1 measured
MMLU Pro (Artificial Analysis run)59.5%68.3%Mistral Medium 3.1
LMArena Text: science13661444Mistral Medium 3.1
LMArena Text: medicine and healthcare13341449Mistral Medium 3.1
LMArena Text: legal and government13811439Mistral Medium 3.1
LMArena Text: business and finance13761418Mistral Medium 3.1
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Gemma 3 12B and Mistral Medium 3.1
BenchmarkGemma 3 12BMistral Medium 3.1Leader
Design Arena: websitesNot measured1133Only Mistral Medium 3.1 measured
Design Arena: UI componentsNot measured1100Only Mistral Medium 3.1 measured
Design Arena: game devNot measured1074Only Mistral Medium 3.1 measured
Design Arena: data vizNot measured1144Only Mistral Medium 3.1 measured
Design Arena: 3DNot measured1081Only Mistral Medium 3.1 measured
Design Arena: all code categoriesNot measured1120Only Mistral Medium 3.1 measured
Design Arena: SVGNot measured993Only Mistral Medium 3.1 measured
Design Arena: ASCII artNot measured997Only Mistral Medium 3.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index015
General benchmarks for Gemma 3 12B and Mistral Medium 3.1
BenchmarkGemma 3 12BMistral Medium 3.1Leader
IFBench36.7%39.8%Mistral Medium 3.1
Long context reasoning (AA-LCR)8.3%42.7%Mistral Medium 3.1
DTBench48.8%67.5%Mistral Medium 3.1
LMCA4.5%19.1%Mistral Medium 3.1
LMArena Text13341424Mistral Medium 3.1
LMArena Text: instruction following12991398Mistral Medium 3.1
LMArena Text: creative writing13311391Mistral Medium 3.1
LMArena VisionNot measured1172Only Mistral Medium 3.1 measured
LMArena Text: English13491438Mistral Medium 3.1
LMArena Text: non-English13181408Mistral Medium 3.1
LMArena Text: ChineseNot measured1447Only Mistral Medium 3.1 measured
LMArena Text: German13701432Mistral Medium 3.1
LMArena Text: JapaneseNot measured1379Only Mistral Medium 3.1 measured
LMArena Text: KoreanNot measured1380Only Mistral Medium 3.1 measured
LMArena Text: FrenchNot measured1460Only Mistral Medium 3.1 measured
LMArena Text: SpanishNot measured1433Only Mistral Medium 3.1 measured
LMArena Text: Russian13351411Mistral Medium 3.1
LMArena Text: PolishNot measured1430Only Mistral Medium 3.1 measured
LMArena Text: multi-turn13341418Mistral Medium 3.1
LMArena Text: longer queries13171406Mistral Medium 3.1
LMArena Text: writing and language13071395Mistral Medium 3.1
LMArena Text: entertainment and media12971390Mistral Medium 3.1
LMArena Vision: EnglishNot measured1179Only Mistral Medium 3.1 measured
LMArena Vision: ChineseNot measured1190Only Mistral Medium 3.1 measured
LMArena Vision: reading textNot measured1175Only Mistral Medium 3.1 measured
LMArena Vision: humorNot measured1168Only Mistral Medium 3.1 measured
LMArena Vision: captioningNot measured1145Only Mistral Medium 3.1 measured
LMArena Vision: recognizing thingsNot measured1147Only Mistral Medium 3.1 measured
LMArena Vision: creative writingNot measured1200Only Mistral Medium 3.1 measured
Neither model has a result on the other 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemma 3 12B and Mistral Medium 3.1
BenchmarkGemma 3 12BMistral Medium 3.1Leader
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

Gemma 3 12B$0.0002Fits in one request
Mistral Medium 3.1$0.0014Fits in one request

Gemma 3 12B costs less

Repository review

50K input + 3K output tokens

Gemma 3 12B$0.0042Fits in one request
Mistral Medium 3.1$0.026Fits in one request

Gemma 3 12B costs less

Agent loop

200K input + 10K output tokens

Gemma 3 12B$0.017Exceeds the context window
Mistral Medium 3.1$0.100Exceeds the context window

Gemma 3 12B 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 Gemma 3 12B and Mistral Medium 3.1
SpecificationGoogle Gemma 3 12BMistral Medium 3.1
MakerGoogleMistral AI
WeightsOpen weightsNo public weights listed
ReleasedMarch 13, 2025August 13, 2025
Context window131K131K
Input $/Mtok$0.075$0.40
Output $/Mtok$0.1625$2.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 3 12B better than Mistral Medium 3.1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemma 3 12B for output tokens 12.3x cheaper ($0.1625 vs $2.00 per million) and work measured by AA Coding Index or LiveCodeBench (Artificial Analysis run), where it leads.

Which is cheaper, Gemma 3 12B or Mistral Medium 3.1?

Gemma 3 12B costs $0.075 per million input tokens and $0.1625 per million output tokens; Mistral Medium 3.1 costs $0.40 and $2.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemma 3 12B or Mistral Medium 3.1?

Neither: both take 131K tokens.

How many benchmarks is the Gemma 3 12B vs Mistral Medium 3.1 comparison based on?

38 benchmarks have a result for both models as of October 21, 2026. Gemma 3 12B's coding index rests on 0 independent benchmarks and Mistral Medium 3.1's on 0. Where only one model has a result, the page says so instead of naming a winner.

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