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Gemma 4 31B vs Mistral Medium 3.1

Gemma 4 31B leads Mistral Medium 3.1 on the Artificial Analysis Intelligence Index, 14.7 to 9.2, and Gemma 4 31B costs 5.0x less per output token ($0.40 vs $2.00 per million). Updated October 21, 2026; 49 benchmarks have a result for both.

Replace Gemma 4 31B Replace Mistral Medium 3.1
Gemma 4 31BGoogle
Coding
39.0
Overall
42.1
Output $/M
$0.40
47
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
2
vs boards won of 49 shared

Gemma 4 31B or Mistral Medium 3.1: which to pick

Only Gemma 4 31B has a coding score, 39.0 on the Vibe Coding Index; Mistral Medium 3.1 has none, so the two cannot be ranked on coding.

Pick Mistral Medium 3.1 for work measured by LMArena Text: legal and government or LMArena Text: French, where it leads.

Model AGemma 4 31BGoogle39.0/1002 independent benchmarksNo cost per solved taskModel BMistral Medium 3.1Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
49
Gemma 4 31B only
22
Mistral Medium 3.1 only
25
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 4 31B 39.0 from 2 benchmarks, Mistral Medium 3.1 not benchmarked.
Widest category
Coding, 15.7 points apart on average over 6 shared benchmarks.
Widest single gap
IFBench: Gemma 4 31B 75.6% against Mistral Medium 3.1 39.8%, 35.8 points apart on a 0 to 100 scale.
Output price
Gemma 4 31B $0.40 against Mistral Medium 3.1 $2.00 per million output tokens, 5.0x apart.
Context window
Gemma 4 31B takes 262K tokens, Mistral Medium 3.1 131K.

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 4 31BBarsMistral Medium 3.1Ties
Coding60
Intelligence10
Agentic work20
Reasoning70
Math20
Knowledge41
General251
All shared boards472
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for Gemma 4 31B and Mistral Medium 3.1
BenchmarkGemma 4 31BMistral Medium 3.1Leader
LiveBench coding49.0%Not measuredOnly Gemma 4 31B measured
LMArena WebDev1367Not measuredOnly Gemma 4 31B measured
AA Coding Index43.420.5Gemma 4 31B
LiveCodeBench (Vals AI)Not measured44.8%Only Mistral Medium 3.1 measured
LiveCodeBench (Artificial Analysis run)Not measured40.6%Only Mistral Medium 3.1 measured
SciCode45.5%32.4%Gemma 4 31B
Terminal-Bench Hard (Artificial Analysis run)36.4%10.6%Gemma 4 31B
WeirdML52.3%Not measuredOnly Gemma 4 31B measured
ALE-Bench925.5210.2Gemma 4 31B
LMArena Text: coding14591433Gemma 4 31B
LMArena Text: software and IT14631436Gemma 4 31B
LMArena WebDev: React1359Not measuredOnly Gemma 4 31B measured
LMArena WebDev: HTML1380Not measuredOnly Gemma 4 31B measured
SciCode8.9%Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Gemma 4 31B and Mistral Medium 3.1
BenchmarkGemma 4 31BMistral Medium 3.1Leader
AA Intelligence Index14.79.2Gemma 4 31B
Epoch Capabilities Index143.0Not measuredOnly Gemma 4 31B measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for Gemma 4 31B and Mistral Medium 3.1
BenchmarkGemma 4 31BMistral Medium 3.1Leader
AA Agentic Index4.21.9Gemma 4 31B
LiveBench research44.4%Not measuredOnly Gemma 4 31B measured
LiveBench browser4.0%Not measuredOnly Gemma 4 31B measured
LiveBench long agentic13.3%Not measuredOnly Gemma 4 31B measured
τ²-Bench Telecom65.5%40.6%Gemma 4 31B
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
Reasoning benchmarks for Gemma 4 31B and Mistral Medium 3.1
BenchmarkGemma 4 31BMistral Medium 3.1Leader
LiveBench reasoning68.3%Not measuredOnly Gemma 4 31B measured
MMMU Pro (Vals AI)Not measured63.0%Only Mistral Medium 3.1 measured
GPQA Diamond (Artificial Analysis run)85.7%58.8%Gemma 4 31B
Humanity's Last Exam (Artificial Analysis run)23.6%4.7%Gemma 4 31B
GPQA Diamond (Epoch AI run)75.8%Not measuredOnly Gemma 4 31B measured
LMArena Text: hard prompts14481426Gemma 4 31B
LMArena Text: expert14641408Gemma 4 31B
LMArena Text: hard prompts in English14561435Gemma 4 31B
LMArena Vision: diagrams12831175Gemma 4 31B
LMArena Vision: homework13101165Gemma 4 31B
Kagi LLM Benchmark63.5%Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Gemma 4 31B and Mistral Medium 3.1
BenchmarkGemma 4 31BMistral 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 IndexNot measured38.3Only Mistral Medium 3.1 measured
AIME 2025 (Artificial Analysis run)Not measured38.3%Only Mistral Medium 3.1 measured
OTIS Mock AIME73.3%Not measuredOnly Gemma 4 31B measured
LMArena Text: math14631408Gemma 4 31B
LMArena Text: mathematical work14651412Gemma 4 31B
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
Knowledge benchmarks for Gemma 4 31B and Mistral Medium 3.1
BenchmarkGemma 4 31BMistral 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
CaseLaw (Vals AI)52.6%Not measuredOnly Gemma 4 31B 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)61.4%36.5%Gemma 4 31B
MedQA (Vals AI)Not measured78.2%Only Mistral Medium 3.1 measured
MMLU Pro (Artificial Analysis run)Not measured68.3%Only Mistral Medium 3.1 measured
SimpleQA Verified10.4%Not measuredOnly Gemma 4 31B measured
LMArena Text: science14571444Gemma 4 31B
LMArena Text: medicine and healthcare14511449Gemma 4 31B
LMArena Text: legal and government14381439Mistral Medium 3.1
LMArena Text: business and finance14301418Gemma 4 31B
FACTS Benchmark Suite45.3%Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Gemma 4 31B and Mistral Medium 3.1
BenchmarkGemma 4 31BMistral 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
LiveBench design58.4%Not measuredOnly Gemma 4 31B measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index251
General benchmarks for Gemma 4 31B and Mistral Medium 3.1
BenchmarkGemma 4 31BMistral Medium 3.1Leader
LiveBench data analysis53.3%Not measuredOnly Gemma 4 31B measured
SAGE (Vals AI)55.0%Not measuredOnly Gemma 4 31B measured
IFBench75.6%39.8%Gemma 4 31B
Long context reasoning (AA-LCR)69.7%42.7%Gemma 4 31B
DTBench82.7%67.5%Gemma 4 31B
LMCA39.3%19.1%Gemma 4 31B
Surface Evolver Bench30.6%Not measuredOnly Gemma 4 31B measured
LMArena Text14431424Gemma 4 31B
LMArena Text: instruction following14331398Gemma 4 31B
LMArena Text: creative writing14171391Gemma 4 31B
LMArena Vision12761172Gemma 4 31B
LMArena Text: English14511438Gemma 4 31B
LMArena Text: non-English14301408Gemma 4 31B
LMArena Text: Chinese14751447Gemma 4 31B
LMArena Text: GermanNot measured1432Only Mistral Medium 3.1 measured
LMArena Text: JapaneseNot measured1379Only Mistral Medium 3.1 measured
LMArena Text: KoreanNot measured1380Only Mistral Medium 3.1 measured
LMArena Text: French14361460Mistral Medium 3.1
LMArena Text: Spanish14421433Gemma 4 31B
LMArena Text: Russian14601411Gemma 4 31B
LMArena Text: Polish14331430Gemma 4 31B
LMArena Text: multi-turn14521418Gemma 4 31B
LMArena Text: longer queries14461406Gemma 4 31B
LMArena Text: writing and language14321395Gemma 4 31B
LMArena Text: entertainment and media14051390Gemma 4 31B
LMArena Vision: English12711179Gemma 4 31B
LMArena Vision: Chinese13261190Gemma 4 31B
LMArena Vision: reading text12821175Gemma 4 31B
LMArena Vision: humor12801168Gemma 4 31B
LMArena Vision: captioning12181145Gemma 4 31B
LMArena Vision: recognizing things12261147Gemma 4 31B
LMArena Vision: creative writing12851200Gemma 4 31B
LMArena Document1425Not measuredOnly Gemma 4 31B measured
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 Gemma 4 31B and Mistral Medium 3.1
BenchmarkGemma 4 31BMistral 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 4 31B$0.0003Fits in one request
Mistral Medium 3.1$0.0014Fits in one request

Gemma 4 31B costs less

Repository review

50K input + 3K output tokens

Gemma 4 31B$0.0082Fits in one request
Mistral Medium 3.1$0.026Fits in one request

Gemma 4 31B costs less

Agent loop

200K input + 10K output tokens

Gemma 4 31B$0.032Fits in one request
Mistral Medium 3.1$0.100Exceeds the context window

Gemma 4 31B 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 4 31B and Mistral Medium 3.1
SpecificationGoogle Gemma 4 31BMistral Medium 3.1
MakerGoogleMistral AI
WeightsOpen weightsNo public weights listed
ReleasedApril 2, 2026August 13, 2025
Context window262K131K
Input $/Mtok$0.14$0.40
Output $/Mtok$0.40$2.00
Coding index39.0Not benchmarked
Independent measurements behind it20
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 4 31B better than Mistral Medium 3.1 for coding?

Only Gemma 4 31B has a coding score, 39.0 on the Vibe Coding Index; Mistral Medium 3.1 has none, so the two cannot be ranked on coding. Pick Mistral Medium 3.1 for work measured by LMArena Text: legal and government or LMArena Text: French, where it leads.

Which is cheaper, Gemma 4 31B or Mistral Medium 3.1?

Gemma 4 31B costs $0.14 per million input tokens and $0.40 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 4 31B or Mistral Medium 3.1?

Gemma 4 31B, with 262K tokens against 131K.

How many benchmarks is the Gemma 4 31B vs Mistral Medium 3.1 comparison based on?

49 benchmarks have a result for both models as of October 21, 2026. Gemma 4 31B's coding index rests on 2 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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