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Gemma 3 27B vs Mistral Medium 3.5

Mistral Medium 3.5 leads Gemma 3 27B on the Artificial Analysis Intelligence Index, 14.2 to 4.9, and Gemma 3 27B costs 25.0x less per output token ($0.30 vs $7.50 per million). Updated October 22, 2026; 49 benchmarks have a result for both.

Replace Gemma 3 27B Replace Mistral Medium 3.5
Gemma 3 27BGoogle
Coding
No data
Overall
31.4
Output $/M
$0.30
0
Mistral Medium 3.5Mistral AI
Coding
25.5
Overall
37.3
Output $/M
$7.50
49
vs boards won of 49 shared

Gemma 3 27B or Mistral Medium 3.5: which to pick

Only Mistral Medium 3.5 has a coding score, 25.5 on the Vibe Coding Index; Gemma 3 27B has none, so the two cannot be ranked on coding.

Pick Gemma 3 27B for output tokens 25.0x cheaper ($0.30 vs $7.50 per million).

Model AGemma 3 27BGoogleNot benchmarkedNo coding benchmarkNo cost per solved taskModel BMistral Medium 3.5Mistral AI25.5/1003 independent benchmarks$6.02 per solved task
Shared results
49
Gemma 3 27B only
17
Mistral Medium 3.5 only
32
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 27B not benchmarked, Mistral Medium 3.5 25.5 from 3 benchmarks.
Widest category
Agentic work, 45.3 points apart on average over 2 shared benchmarks.
Widest single gap
τ²-Bench Telecom: Gemma 3 27B 10.5% against Mistral Medium 3.5 94.2%, 83.6 points apart on a 0 to 100 scale.
Output price
Gemma 3 27B $0.30 against Mistral Medium 3.5 $7.50 per million output tokens, 25.0x apart.
Context window
Gemma 3 27B 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 27BBarsMistral Medium 3.5Ties
Coding05
Intelligence02
Agentic work02
Reasoning08
Math02
Knowledge04
General026
All shared boards049
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
Coding benchmarks for Gemma 3 27B and Mistral Medium 3.5
BenchmarkGemma 3 27BMistral Medium 3.5Leader
Aider polyglot4.9%Not measuredOnly Gemma 3 27B measured
LMArena WebDevNot measured1264Only Mistral Medium 3.5 measured
AA Coding Index10.146.9Mistral 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)13.7%Not measuredOnly Gemma 3 27B measured
SciCode23.3%40.2%Mistral Medium 3.5
Terminal-Bench Hard (Artificial Analysis run)3.8%33.3%Mistral Medium 3.5
ALE-BenchNot measured764.0Only Mistral Medium 3.5 measured
LMArena Text: coding13221460Mistral Medium 3.5
LMArena Text: software and IT13541458Mistral Medium 3.5
LMArena WebDev: ReactNot measured1254Only Mistral Medium 3.5 measured
LMArena WebDev: HTMLNot measured1308Only Mistral Medium 3.5 measured
SciCode0.0%Not measuredOnly Gemma 3 27B measured
Neither model has a result on the other 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemma 3 27B and Mistral Medium 3.5
BenchmarkGemma 3 27BMistral Medium 3.5Leader
AA Intelligence Index4.914.2Mistral Medium 3.5
Epoch Capabilities Index130.0141.4Mistral Medium 3.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Gemma 3 27B and Mistral Medium 3.5
BenchmarkGemma 3 27BMistral Medium 3.5Leader
AA Agentic Index0.17.0Mistral Medium 3.5
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 Telecom10.5%94.2%Mistral Medium 3.5
Berkeley Function Calling Leaderboard (BFCL)29.5%Not measuredOnly Gemma 3 27B measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index08
Reasoning benchmarks for Gemma 3 27B and Mistral Medium 3.5
BenchmarkGemma 3 27BMistral Medium 3.5Leader
GPQA DiamondNot measured34.9%Only Mistral Medium 3.5 measured
GPQA Diamond (Artificial Analysis run)42.8%74.8%Mistral Medium 3.5
Humanity's Last Exam (Artificial Analysis run)4.4%13.8%Mistral Medium 3.5
GPQA Diamond (Epoch AI run)47.7%Not measuredOnly Gemma 3 27B measured
LMArena Text: hard prompts13401436Mistral Medium 3.5
LMArena Text: expert13041432Mistral Medium 3.5
LMArena Text: hard prompts in English13531445Mistral Medium 3.5
LMArena Vision: diagrams11561254Mistral Medium 3.5
LMArena Vision: homework11601230Mistral Medium 3.5
Kagi LLM Benchmark35.1%41.4%Mistral Medium 3.5
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 27B and Mistral Medium 3.5
BenchmarkGemma 3 27BMistral Medium 3.5Leader
AA Math Index20.7Not measuredOnly Gemma 3 27B measured
AIME 2025 (Artificial Analysis run)20.7%Not measuredOnly Gemma 3 27B measured
OTIS Mock AIME22.5%Not measuredOnly Gemma 3 27B measured
ProofBenchNot measured9.0%Only Mistral Medium 3.5 measured
MATH level 574.0%Not measuredOnly Gemma 3 27B measured
LMArena Text: math13121431Mistral Medium 3.5
LMArena Text: mathematical work13271440Mistral Medium 3.5
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Gemma 3 27B and Mistral Medium 3.5
BenchmarkGemma 3 27BMistral 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)66.9%Not measuredOnly Gemma 3 27B measured
GeoBench52.0%Not measuredOnly Gemma 3 27B measured
LMArena Text: science13831428Mistral Medium 3.5
LMArena Text: medicine and healthcare13911409Mistral Medium 3.5
LMArena Text: legal and government13751437Mistral Medium 3.5
LMArena Text: business and finance13601426Mistral Medium 3.5
FACTS Benchmark Suite29.1%Not measuredOnly Gemma 3 27B measured
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Gemma 3 27B and Mistral Medium 3.5
BenchmarkGemma 3 27BMistral Medium 3.5Leader
Design Arena: websitesNot measured1142Only Mistral Medium 3.5 measured
Design Arena: UI componentsNot measured1076Only 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 measured1060Only Mistral Medium 3.5 measured
Design Arena: all code categoriesNot measured1121Only Mistral Medium 3.5 measured
Design Arena: SVGNot measured949Only 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 index026
General benchmarks for Gemma 3 27B and Mistral Medium 3.5
BenchmarkGemma 3 27BMistral 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
IFBench31.8%68.8%Mistral Medium 3.5
Long context reasoning (AA-LCR)7.3%69.3%Mistral Medium 3.5
DTBench52.5%75.5%Mistral Medium 3.5
LMCA12.3%26.1%Mistral Medium 3.5
Fiction.LiveBench33.3%Not measuredOnly Gemma 3 27B measured
Creative writing (Lech Mazur)79.9%Not measuredOnly Gemma 3 27B measured
Surface Evolver BenchNot measured26.9%Only Mistral Medium 3.5 measured
LMArena Text13581421Mistral Medium 3.5
LMArena Text: instruction following13211415Mistral Medium 3.5
LMArena Text: creative writing13451374Mistral Medium 3.5
LMArena Vision11651222Mistral Medium 3.5
LMArena Text: English13771433Mistral Medium 3.5
LMArena Text: non-English13341404Mistral Medium 3.5
LMArena Text: Chinese13461444Mistral Medium 3.5
LMArena Text: German13621453Mistral Medium 3.5
LMArena Text: Japanese1287Not measuredOnly Gemma 3 27B measured
LMArena Text: Korean13081384Mistral Medium 3.5
LMArena Text: French13681448Mistral Medium 3.5
LMArena Text: Spanish13491411Mistral Medium 3.5
LMArena Text: Russian13491395Mistral Medium 3.5
LMArena Text: Polish13451430Mistral Medium 3.5
LMArena Text: multi-turn13451423Mistral Medium 3.5
LMArena Text: longer queries13331415Mistral Medium 3.5
LMArena Text: writing and language13471384Mistral Medium 3.5
LMArena Text: entertainment and media13201382Mistral Medium 3.5
LMArena Vision: English11881240Mistral Medium 3.5
LMArena Vision: Chinese11641244Mistral Medium 3.5
LMArena Vision: reading text11561233Mistral Medium 3.5
LMArena Vision: humor11661216Mistral Medium 3.5
LMArena Vision: captioning1151Not measuredOnly Gemma 3 27B measured
LMArena Vision: recognizing things1196Not measuredOnly Gemma 3 27B measured
LMArena Vision: creative writing11771198Mistral Medium 3.5
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemma 3 27B and Mistral Medium 3.5
BenchmarkGemma 3 27BMistral 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 27B$0.0002Fits in one request
Mistral Medium 3.5$0.0053Fits in one request

Gemma 3 27B costs less

Repository review

50K input + 3K output tokens

Gemma 3 27B$0.0049Fits in one request
Mistral Medium 3.5$0.098Fits in one request

Gemma 3 27B costs less

Agent loop

200K input + 10K output tokens

Gemma 3 27B$0.019Exceeds the context window
Mistral Medium 3.5$0.375Fits in one request

Gemma 3 27B 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 27B and Mistral Medium 3.5
SpecificationGoogle Gemma 3 27BMistral Medium 3.5
MakerGoogleMistral AI
WeightsOpen weightsNo public weights listed
ReleasedMarch 12, 2025April 30, 2026
Context window131K262K
Input $/Mtok$0.08$1.50
Output $/Mtok$0.30$7.50
Coding indexNot benchmarked25.5
Independent measurements behind it03
Cost per solved taskNot computable$6.02
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 3 27B 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 27B has none, so the two cannot be ranked on coding. Pick Gemma 3 27B for output tokens 25.0x cheaper ($0.30 vs $7.50 per million).

Which is cheaper, Gemma 3 27B or Mistral Medium 3.5?

Gemma 3 27B costs $0.08 per million input tokens and $0.30 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 27B or Mistral Medium 3.5?

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

How many benchmarks is the Gemma 3 27B vs Mistral Medium 3.5 comparison based on?

49 benchmarks have a result for both models as of October 22, 2026. Gemma 3 27B'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.

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