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Gemma 2 27B vs Mistral Medium 3.1

Gemma 2 27B costs 3.1x less per output token than Mistral Medium 3.1 ($0.65 vs $2.00 per million). Updated October 21, 2026; 31 benchmarks have a result for both.

Replace Gemma 2 27B Replace Mistral Medium 3.1
Gemma 2 27BGoogle
Coding
No data
Overall
No data
Output $/M
$0.65
1
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
30
vs boards won of 31 shared

Gemma 2 27B 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 2 27B for output tokens 3.1x cheaper ($0.65 vs $2.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AGemma 2 27BGoogleNot benchmarkedNo coding benchmarkNo cost per solved taskModel BMistral Medium 3.1Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
31
Gemma 2 27B only
5
Mistral Medium 3.1 only
43
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
Gemma 2 27B not benchmarked, Mistral Medium 3.1 not benchmarked.
Widest category
Reasoning, 38.5 points apart on average over 3 shared benchmarks.
Widest single gap
LMArena Text: medicine and healthcare: Gemma 2 27B 1198 against Mistral Medium 3.1 1449, 42.0 points apart on a 0 to 100 scale.
Output price
Gemma 2 27B $0.65 against Mistral Medium 3.1 $2.00 per million output tokens, 3.1x apart.
Context window
Gemma 2 27B takes 8K 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 2 27BBarsMistral Medium 3.1Ties
Coding02
Reasoning03
Math02
Knowledge14
General019
All shared boards130
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Gemma 2 27B and Mistral Medium 3.1
BenchmarkGemma 2 27BMistral Medium 3.1Leader
AA Coding IndexNot measured20.5Only Mistral Medium 3.1 measured
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
SciCodeNot measured32.4%Only Mistral Medium 3.1 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured10.6%Only Mistral Medium 3.1 measured
ALE-BenchNot measured210.2Only Mistral Medium 3.1 measured
LMArena Text: coding12111433Mistral Medium 3.1
LMArena Text: software and IT12281436Mistral Medium 3.1
Neither model has a result on the other 31 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Gemma 2 27B and Mistral Medium 3.1
BenchmarkGemma 2 27BMistral Medium 3.1Leader
AA Intelligence IndexNot measured9.2Only Mistral Medium 3.1 measured
Epoch Capabilities Index122.1Not measuredOnly Gemma 2 27B measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for Gemma 2 27B and Mistral Medium 3.1
BenchmarkGemma 2 27BMistral Medium 3.1Leader
AA Agentic IndexNot measured1.9Only Mistral Medium 3.1 measured
τ²-Bench TelecomNot measured40.6%Only Mistral Medium 3.1 measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Gemma 2 27B and Mistral Medium 3.1
BenchmarkGemma 2 27BMistral Medium 3.1Leader
MMMU Pro (Vals AI)Not measured63.0%Only Mistral Medium 3.1 measured
GPQA Diamond (Artificial Analysis run)Not measured58.8%Only Mistral Medium 3.1 measured
Humanity's Last Exam (Artificial Analysis run)Not measured4.7%Only Mistral Medium 3.1 measured
GPQA Diamond (Epoch AI run)36.5%Not measuredOnly Gemma 2 27B measured
LMArena Text: hard prompts11981426Mistral Medium 3.1
LMArena Text: expert11711408Mistral Medium 3.1
LMArena Text: hard prompts in English12061435Mistral 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 index02
Math benchmarks for Gemma 2 27B and Mistral Medium 3.1
BenchmarkGemma 2 27BMistral 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 AIME1.4%Not measuredOnly Gemma 2 27B measured
MATH level 527.9%Not measuredOnly Gemma 2 27B measured
LMArena Text: math12121408Mistral Medium 3.1
LMArena Text: mathematical work12211412Mistral Medium 3.1
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index14
Knowledge benchmarks for Gemma 2 27B and Mistral Medium 3.1
BenchmarkGemma 2 27BMistral Medium 3.1Leader
MMLU ProNot measured75.3%Only Mistral Medium 3.1 measured
LegalBench (Vals AI)68.0%62.0%Gemma 2 27B
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)Not measured68.3%Only Mistral Medium 3.1 measured
MMLU75.7%Not measuredOnly Gemma 2 27B measured
LMArena Text: science12281444Mistral Medium 3.1
LMArena Text: medicine and healthcare11981449Mistral Medium 3.1
LMArena Text: legal and government12411439Mistral Medium 3.1
LMArena Text: business and finance12081418Mistral Medium 3.1
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 2 27B and Mistral Medium 3.1
BenchmarkGemma 2 27BMistral 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 index019
General benchmarks for Gemma 2 27B and Mistral Medium 3.1
BenchmarkGemma 2 27BMistral Medium 3.1Leader
IFBenchNot measured39.8%Only Mistral Medium 3.1 measured
Long context reasoning (AA-LCR)Not measured42.7%Only Mistral Medium 3.1 measured
DTBench48.0%67.5%Mistral Medium 3.1
LMCA7.1%19.1%Mistral Medium 3.1
LMArena Text12311424Mistral Medium 3.1
LMArena Text: instruction following12061398Mistral Medium 3.1
LMArena Text: creative writing12401391Mistral Medium 3.1
LMArena VisionNot measured1172Only Mistral Medium 3.1 measured
LMArena Text: English12421438Mistral Medium 3.1
LMArena Text: non-English12171408Mistral Medium 3.1
LMArena Text: Chinese12211447Mistral Medium 3.1
LMArena Text: German12091432Mistral Medium 3.1
LMArena Text: Japanese11751379Mistral Medium 3.1
LMArena Text: Korean11741380Mistral Medium 3.1
LMArena Text: French12481460Mistral Medium 3.1
LMArena Text: Spanish12281433Mistral Medium 3.1
LMArena Text: Russian12341411Mistral Medium 3.1
LMArena Text: Polish12771430Mistral Medium 3.1
LMArena Text: multi-turn12241418Mistral Medium 3.1
LMArena Text: longer queries12301406Mistral Medium 3.1
LMArena Text: writing and language12491395Mistral Medium 3.1
LMArena Text: entertainment and media12121390Mistral 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 2 27B and Mistral Medium 3.1
BenchmarkGemma 2 27BMistral 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 2 27B$0.0010Fits in one request
Mistral Medium 3.1$0.0014Fits in one request

Gemma 2 27B costs less

Repository review

50K input + 3K output tokens

Gemma 2 27B$0.034Exceeds the context window
Mistral Medium 3.1$0.026Fits in one request

Mistral Medium 3.1 costs less

Agent loop

200K input + 10K output tokens

Gemma 2 27B$0.137Exceeds the context window
Mistral Medium 3.1$0.100Exceeds the context window

Mistral Medium 3.1 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 2 27B and Mistral Medium 3.1
SpecificationGoogle Gemma 2 27BMistral Medium 3.1
MakerGoogleMistral AI
WeightsOpen weightsNo public weights listed
ReleasedJuly 13, 2024August 13, 2025
Context window8K131K
Input $/Mtok$0.65$0.40
Output $/Mtok$0.65$2.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 2 27B 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 2 27B for output tokens 3.1x cheaper ($0.65 vs $2.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Gemma 2 27B or Mistral Medium 3.1?

Gemma 2 27B costs $0.65 per million input tokens and $0.65 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 2 27B or Mistral Medium 3.1?

Mistral Medium 3.1, with 131K tokens against 8K.

How many benchmarks is the Gemma 2 27B vs Mistral Medium 3.1 comparison based on?

31 benchmarks have a result for both models as of October 21, 2026. Gemma 2 27B'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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