Enter opens the highlighted result. Esc closes.

Gemma 3 4B vs Mistral Medium 3.5

Updated October 21, 2026. 33 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemma 3 4B Replace Mistral Medium 3.5
Gemma 3 4BGoogle
Coding
No data
Overall
4.8
Output $/M
$0.075
0
Mistral Medium 3.5Mistral AI
Coding
25.5
Overall
14.2
Output $/M
$7.50
33
vs boards won of 33 shared

Decision reading

Only Mistral Medium 3.5 has a coding score, 25.5 on the Vibe Coding Index; Gemma 3 4B has none, so the two cannot be ranked on coding.

Gemma 3 4B has the edge where output tokens cost 100.0x less.

Model AGemma 3 4BGoogleNot benchmarkedNo coding benchmarkNo cost per solved taskModel BMistral Medium 3.5Mistral AI25.5/1003 independent benchmarks$6.02 per solved task
Shared results
33
Gemma 3 4B only
6
Mistral Medium 3.5 only
47
Like-for-like categories
7 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 4B not benchmarked, Mistral Medium 3.5 25.5 from 3 benchmarks.
Widest category
Agentic work, 89.2 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Gemma 3 4B 5.0% against Mistral Medium 3.5 94.2%, 89.2 points apart on a 0 to 100 scale.
Output price
Gemma 3 4B $0.075 against Mistral Medium 3.5 $7.50 per million output tokens, 100.0x apart.
Context window
Gemma 3 4B takes 131K tokens, Mistral Medium 3.5 262K.

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 4BBarsMistral Medium 3.5Ties
Coding04
Intelligence02
Agentic work01
Reasoning05
Math02
Knowledge04
General015
All shared boards033
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for Gemma 3 4B and Mistral Medium 3.5
BenchmarkGemma 3 4BMistral Medium 3.5Leader
LMArena WebDevNot measured1264Only Mistral Medium 3.5 measured
AA Coding Index2.746.9Mistral Medium 3.5
SWE-bench Verified (Vals AI)Not measured66.4%Only Mistral Medium 3.5 measured
Vibe Code Bench (Vals AI)Not measured2.9%Only Mistral Medium 3.5 measured
Code migration (Vals AI)Not measured5.1%Only Mistral Medium 3.5 measured
Terminal-Bench 2.1 (Vals AI)Not measured39.0%Only Mistral Medium 3.5 measured
LiveCodeBench (Artificial Analysis run)11.2%Not measuredOnly Gemma 3 4B measured
SciCodeNot measured40.2%Only Mistral Medium 3.5 measured
Terminal-Bench Hard (Artificial Analysis run)0.8%33.3%Mistral Medium 3.5
ALE-BenchNot measured764.0Only Mistral Medium 3.5 measured
LMArena Text: coding12301460Mistral Medium 3.5
LMArena Text: software and IT12691458Mistral Medium 3.5
LMArena WebDev: ReactNot measured1254Only Mistral Medium 3.5 measured
LMArena WebDev: HTMLNot measured1308Only Mistral Medium 3.5 measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemma 3 4B and Mistral Medium 3.5
BenchmarkGemma 3 4BMistral Medium 3.5Leader
AA Intelligence Index4.814.2Mistral Medium 3.5
Epoch Capabilities Index115.9141.4Mistral Medium 3.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemma 3 4B and Mistral Medium 3.5
BenchmarkGemma 3 4BMistral Medium 3.5Leader
AA Agentic IndexNot measured7.0Only Mistral Medium 3.5 measured
Finance Agent (Vals AI)Not measured32.1%Only Mistral Medium 3.5 measured
Tax Agent Bench (Vals AI)Not measured4.5%Only Mistral Medium 3.5 measured
Legal Research Bench (Vals AI)Not measured9.1%Only Mistral Medium 3.5 measured
Excel Modeling Benchmark (Vals AI)Not measured11.2%Only Mistral Medium 3.5 measured
τ²-Bench Telecom5.0%94.2%Mistral Medium 3.5
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Gemma 3 4B and Mistral Medium 3.5
BenchmarkGemma 3 4BMistral Medium 3.5Leader
GPQA DiamondNot measured34.9%Only Mistral Medium 3.5 measured
GPQA Diamond (Artificial Analysis run)29.1%74.8%Mistral Medium 3.5
Humanity's Last Exam (Artificial Analysis run)5.3%13.8%Mistral Medium 3.5
GPQA Diamond (Epoch AI run)23.2%Not measuredOnly Gemma 3 4B measured
LMArena Text: hard prompts12531436Mistral Medium 3.5
LMArena Text: expert12231432Mistral Medium 3.5
LMArena Text: hard prompts in English12531445Mistral Medium 3.5
LMArena Vision: diagramsNot measured1254Only Mistral Medium 3.5 measured
LMArena Vision: homeworkNot measured1230Only Mistral Medium 3.5 measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Gemma 3 4B and Mistral Medium 3.5
BenchmarkGemma 3 4BMistral Medium 3.5Leader
AA Math Index12.7Not measuredOnly Gemma 3 4B measured
AIME 2025 (Artificial Analysis run)12.7%Not measuredOnly Gemma 3 4B measured
OTIS Mock AIME7.5%Not measuredOnly Gemma 3 4B measured
ProofBenchNot measured9.0%Only Mistral Medium 3.5 measured
LMArena Text: math12391431Mistral Medium 3.5
LMArena Text: mathematical work12561440Mistral Medium 3.5
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Gemma 3 4B and Mistral Medium 3.5
BenchmarkGemma 3 4BMistral Medium 3.5Leader
MMLU ProNot measured75.3%Only Mistral Medium 3.5 measured
CaseLaw (Vals AI)Not measured44.2%Only Mistral Medium 3.5 measured
CorpFin (Vals AI)Not measured58.8%Only Mistral Medium 3.5 measured
TaxEval (Vals AI)Not measured68.0%Only Mistral Medium 3.5 measured
MortgageTax (Vals AI)Not measured28.9%Only Mistral Medium 3.5 measured
MedCode (Vals AI)Not measured33.8%Only Mistral Medium 3.5 measured
MMLU Pro (Artificial Analysis run)41.7%Not measuredOnly Gemma 3 4B measured
LMArena Text: science13061428Mistral Medium 3.5
LMArena Text: medicine and healthcare13421409Mistral Medium 3.5
LMArena Text: legal and government13271437Mistral Medium 3.5
LMArena Text: business and finance13111426Mistral Medium 3.5
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Gemma 3 4B and Mistral Medium 3.5
BenchmarkGemma 3 4BMistral Medium 3.5Leader
Design Arena: websitesNot measured1142Only Mistral Medium 3.5 measured
Design Arena: UI componentsNot measured1079Only Mistral Medium 3.5 measured
Design Arena: game devNot measured1079Only Mistral Medium 3.5 measured
Design Arena: data vizNot measured1120Only Mistral Medium 3.5 measured
Design Arena: 3DNot measured1061Only Mistral Medium 3.5 measured
Design Arena: all code categoriesNot measured1121Only Mistral Medium 3.5 measured
Design Arena: SVGNot measured950Only Mistral Medium 3.5 measured
Design Arena: ASCII artNot measured1062Only Mistral Medium 3.5 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 4B and Mistral Medium 3.5
BenchmarkGemma 3 4BMistral Medium 3.5Leader
SAGE (Vals AI)Not measured37.6%Only Mistral Medium 3.5 measured
MedScribe (Vals AI)Not measured67.7%Only Mistral Medium 3.5 measured
Vals Multimodal IndexNot measured34.8%Only Mistral Medium 3.5 measured
IFBench28.3%68.8%Mistral Medium 3.5
Long context reasoning (AA-LCR)6.7%69.3%Mistral Medium 3.5
DTBench50.9%75.5%Mistral Medium 3.5
LMCA2.8%26.1%Mistral Medium 3.5
Surface Evolver BenchNot measured26.9%Only Mistral Medium 3.5 measured
LMArena Text12911421Mistral Medium 3.5
LMArena Text: instruction following12391415Mistral Medium 3.5
LMArena Text: creative writing12701374Mistral Medium 3.5
LMArena VisionNot measured1222Only Mistral Medium 3.5 measured
LMArena Text: English13001433Mistral Medium 3.5
LMArena Text: non-English12731404Mistral Medium 3.5
LMArena Text: ChineseNot measured1444Only Mistral Medium 3.5 measured
LMArena Text: German12811453Mistral Medium 3.5
LMArena Text: KoreanNot measured1384Only Mistral Medium 3.5 measured
LMArena Text: FrenchNot measured1448Only Mistral Medium 3.5 measured
LMArena Text: SpanishNot measured1411Only Mistral Medium 3.5 measured
LMArena Text: Russian12941395Mistral Medium 3.5
LMArena Text: PolishNot measured1430Only Mistral Medium 3.5 measured
LMArena Text: multi-turn12551423Mistral Medium 3.5
LMArena Text: longer queries12731415Mistral Medium 3.5
LMArena Text: writing and language12881384Mistral Medium 3.5
LMArena Text: entertainment and media12331382Mistral Medium 3.5
LMArena Vision: EnglishNot measured1240Only Mistral Medium 3.5 measured
LMArena Vision: ChineseNot measured1244Only Mistral Medium 3.5 measured
LMArena Vision: reading textNot measured1233Only Mistral Medium 3.5 measured
LMArena Vision: humorNot measured1216Only Mistral Medium 3.5 measured
LMArena Vision: creative writingNot measured1198Only Mistral Medium 3.5 measured
Neither model has a result on the other 16 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemma 3 4B and Mistral Medium 3.5
BenchmarkGemma 3 4BMistral Medium 3.5Leader
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 4B$0.0001Fits in one request
Mistral Medium 3.5$0.0053Fits in one request

Gemma 3 4B costs less

Repository review

50K input + 3K output tokens

Gemma 3 4B$0.0025Fits in one request
Mistral Medium 3.5$0.098Fits in one request

Gemma 3 4B costs less

Agent loop

200K input + 10K output tokens

Gemma 3 4B$0.0097Exceeds the context window
Mistral Medium 3.5$0.375Fits in one request

Gemma 3 4B 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 4B and Mistral Medium 3.5
SpecificationGoogle Gemma 3 4BMistral Medium 3.5
MakerGoogleMistral AI
WeightsOpen weightsNo public weights listed
ReleasedMarch 13, 2025April 30, 2026
Context window131K262K
Input $/Mtok$0.045$1.50
Output $/Mtok$0.075$7.50
Coding indexNot benchmarked25.5
Independent measurements behind it03
Cost per solved taskNot computable$6.02
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 3 4B better than Mistral Medium 3.5 for coding?

Only Mistral Medium 3.5 has a coding score, 25.5 on the Vibe Coding Index; Gemma 3 4B has none, so the two cannot be ranked on coding. Gemma 3 4B has the edge where output tokens cost 100.0x less.

Which is cheaper, Gemma 3 4B or Mistral Medium 3.5?

Gemma 3 4B costs $0.045 per million input tokens and $0.075 per million output tokens; Mistral Medium 3.5 costs $1.50 and $7.50. Cost per solved task is known for Mistral Medium 3.5 only.

Which has the bigger context window, Gemma 3 4B or Mistral Medium 3.5?

Mistral Medium 3.5, with 262K tokens against 131K.

How many benchmarks is the Gemma 3 4B vs Mistral Medium 3.5 comparison based on?

33 benchmarks have a result for both models as of October 21, 2026. Gemma 3 4B's coding index rests on 0 independent benchmarks and Mistral Medium 3.5's on 3. Where only one model has a result, the page says so instead of naming a winner.

Compare next