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Claude Sonnet 4.5 vs Gemma 3 27B

Claude Sonnet 4.5 leads Gemma 3 27B on the Artificial Analysis Intelligence Index, 20.7 to 4.9, and Gemma 3 27B costs 50.0x less per output token ($0.30 vs $15.00 per million). Updated October 22, 2026; 40 benchmarks have a result for both.

Claude Sonnet 4.5Anthropic
Coding
39.5
Overall
49.5
Output $/M
$15.00
40
Gemma 3 27BGoogle
Coding
No data
Overall
31.4
Output $/M
$0.30
0
vs boards won of 40 shared

Claude Sonnet 4.5 or Gemma 3 27B: which to pick

Only Claude Sonnet 4.5 has a coding score, 39.5 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 50.0x cheaper ($0.30 vs $15.00 per million).

Shared results
40
Claude Sonnet 4.5 only
55
Gemma 3 27B only
26
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
Claude Sonnet 4.5 39.5 from 3 benchmarks, Gemma 3 27B not benchmarked.
Widest category
Math, 31.1 points apart on average over 4 shared benchmarks.
Widest single gap
OTIS Mock AIME: Claude Sonnet 4.5 77.8% against Gemma 3 27B 22.5%, 55.3 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.5 $15.00 against Gemma 3 27B $0.30 per million output tokens, 50.0x apart.
Context window
Claude Sonnet 4.5 takes 1M tokens, Gemma 3 27B 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
CategoryClaude Sonnet 4.5BarsGemma 3 27BTies
Coding30
Intelligence20
Agentic work20
Reasoning50
Math40
Knowledge50
General190
All shared boards400
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Claude Sonnet 4.5 and Gemma 3 27B
BenchmarkClaude Sonnet 4.5Gemma 3 27BLeader
Aider polyglotNot measured4.9%Only Gemma 3 27B measured
SWE-bench Verified74.8%Not measuredOnly Claude Sonnet 4.5 measured
SWE-bench Multilingual67.0%Not measuredOnly Claude Sonnet 4.5 measured
LMArena WebDev1394Not measuredOnly Claude Sonnet 4.5 measured
AA Coding Index52.110.1Claude Sonnet 4.5
LiveCodeBench (Vals AI)73.0%Not measuredOnly Claude Sonnet 4.5 measured
SWE-bench Verified (Vals AI)70.0%Not measuredOnly Claude Sonnet 4.5 measured
Vibe Code Bench (Vals AI)22.6%Not measuredOnly Claude Sonnet 4.5 measured
LiveCodeBench (Artificial Analysis run)Not measured13.7%Only Gemma 3 27B measured
SciCodeNot measured23.3%Only Gemma 3 27B measured
Terminal-Bench Hard (Artificial Analysis run)Not measured3.8%Only Gemma 3 27B measured
Terminal-Bench46.5%Not measuredOnly Claude Sonnet 4.5 measured
GSO-Bench14.7%Not measuredOnly Claude Sonnet 4.5 measured
WeirdML47.7%Not measuredOnly Claude Sonnet 4.5 measured
Cybench60.0%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: coding14881322Claude Sonnet 4.5
LMArena Text: software and IT14731354Claude Sonnet 4.5
LMArena WebDev: React1386Not measuredOnly Claude Sonnet 4.5 measured
LMArena WebDev: HTML1399Not measuredOnly Claude Sonnet 4.5 measured
SciCodeNot measured0.0%Only Gemma 3 27B measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Sonnet 4.5 and Gemma 3 27B
BenchmarkClaude Sonnet 4.5Gemma 3 27BLeader
AA Intelligence Index20.74.9Claude Sonnet 4.5
Epoch Capabilities Index146.7130.0Claude Sonnet 4.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for Claude Sonnet 4.5 and Gemma 3 27B
BenchmarkClaude Sonnet 4.5Gemma 3 27BLeader
AA Agentic Index15.80.1Claude Sonnet 4.5
Design Arena: agents building web apps1060Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: agents building full-stack apps1050Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: agents building mobile apps1137Not measuredOnly Claude Sonnet 4.5 measured
τ²-Bench TelecomNot measured10.5%Only Gemma 3 27B measured
METR time horizons67.4%Not measuredOnly Claude Sonnet 4.5 measured
Remote Labor Index2.1%Not measuredOnly Claude Sonnet 4.5 measured
GDPval42.5%Not measuredOnly Claude Sonnet 4.5 measured
DeepResearch Bench52.6%Not measuredOnly Claude Sonnet 4.5 measured
OSWorld62.9%Not measuredOnly Claude Sonnet 4.5 measured
Vending-Bench 2$3,839Not measuredOnly Claude Sonnet 4.5 measured
Berkeley Function Calling Leaderboard (BFCL)73.2%29.5%Claude Sonnet 4.5
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Claude Sonnet 4.5 and Gemma 3 27B
BenchmarkClaude Sonnet 4.5Gemma 3 27BLeader
GPQA Diamond81.6%Not measuredOnly Claude Sonnet 4.5 measured
MMMU Pro (Vals AI)79.3%Not measuredOnly Claude Sonnet 4.5 measured
GPQA Diamond (Artificial Analysis run)Not measured42.8%Only Gemma 3 27B measured
Humanity's Last Exam (Artificial Analysis run)Not measured4.4%Only Gemma 3 27B measured
GPQA Diamond (Epoch AI run)82.3%47.7%Claude Sonnet 4.5
ARC-AGI63.7%Not measuredOnly Claude Sonnet 4.5 measured
ARC-AGI-213.6%Not measuredOnly Claude Sonnet 4.5 measured
SimpleBench54.3%Not measuredOnly Claude Sonnet 4.5 measured
Chess puzzles10.0%Not measuredOnly Claude Sonnet 4.5 measured
Mystery game puzzles17.0%Not measuredOnly Claude Sonnet 4.5 measured
EBR-bench2.4%Not measuredOnly Claude Sonnet 4.5 measured
VPCT39.8%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: hard prompts14621340Claude Sonnet 4.5
LMArena Text: expert14831304Claude Sonnet 4.5
LMArena Text: hard prompts in English14711353Claude Sonnet 4.5
LMArena Vision: diagramsNot measured1156Only Gemma 3 27B measured
LMArena Vision: homeworkNot measured1160Only Gemma 3 27B measured
Kagi LLM Benchmark57.9%35.1%Claude Sonnet 4.5
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Claude Sonnet 4.5 and Gemma 3 27B
BenchmarkClaude Sonnet 4.5Gemma 3 27BLeader
AIME88.2%Not measuredOnly Claude Sonnet 4.5 measured
MGSM (Vals AI)94.3%Not measuredOnly Claude Sonnet 4.5 measured
AA Math IndexNot measured20.7Only Gemma 3 27B measured
AIME 2025 (Artificial Analysis run)Not measured20.7%Only Gemma 3 27B measured
OTIS Mock AIME77.8%22.5%Claude Sonnet 4.5
FrontierMath, tiers 1 to 323.9%Not measuredOnly Claude Sonnet 4.5 measured
FrontierMath, tier 42.4%Not measuredOnly Claude Sonnet 4.5 measured
ProofBench19.0%Not measuredOnly Claude Sonnet 4.5 measured
MATH level 597.7%74.0%Claude Sonnet 4.5
LMArena Text: math14491312Claude Sonnet 4.5
LMArena Text: mathematical work14621327Claude Sonnet 4.5
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for Claude Sonnet 4.5 and Gemma 3 27B
BenchmarkClaude Sonnet 4.5Gemma 3 27BLeader
MMLU Pro87.4%Not measuredOnly Claude Sonnet 4.5 measured
LegalBench (Vals AI)84.1%Not measuredOnly Claude Sonnet 4.5 measured
CaseLaw (Vals AI)62.2%Not measuredOnly Claude Sonnet 4.5 measured
CorpFin (Vals AI)62.0%Not measuredOnly Claude Sonnet 4.5 measured
TaxEval (Vals AI)73.3%Not measuredOnly Claude Sonnet 4.5 measured
MortgageTax (Vals AI)64.0%Not measuredOnly Claude Sonnet 4.5 measured
MedQA (Vals AI)94.7%Not measuredOnly Claude Sonnet 4.5 measured
MedCode (Vals AI)44.1%Not measuredOnly Claude Sonnet 4.5 measured
MMLU Pro (Artificial Analysis run)Not measured66.9%Only Gemma 3 27B measured
SimpleQA Verified30.7%Not measuredOnly Claude Sonnet 4.5 measured
GeoBenchNot measured52.0%Only Gemma 3 27B measured
LMArena Text: science14481383Claude Sonnet 4.5
LMArena Text: medicine and healthcare14441391Claude Sonnet 4.5
LMArena Text: legal and government14511375Claude Sonnet 4.5
LMArena Text: business and finance14401360Claude Sonnet 4.5
FACTS Benchmark Suite40.6%29.1%Claude Sonnet 4.5
Neither model has a result on the other 2 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Claude Sonnet 4.5 and Gemma 3 27B
BenchmarkClaude Sonnet 4.5Gemma 3 27BLeader
Design Arena: websites1189Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: UI components1170Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: game dev1166Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: data viz1167Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: 3D1157Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: all code categories1182Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: SVG1115Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: ASCII art1205Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index190
General benchmarks for Claude Sonnet 4.5 and Gemma 3 27B
BenchmarkClaude Sonnet 4.5Gemma 3 27BLeader
SAGE (Vals AI)36.1%Not measuredOnly Claude Sonnet 4.5 measured
MedScribe (Vals AI)84.5%Not measuredOnly Claude Sonnet 4.5 measured
IFBenchNot measured31.8%Only Gemma 3 27B measured
Long context reasoning (AA-LCR)Not measured7.3%Only Gemma 3 27B measured
DTBench83.2%52.5%Claude Sonnet 4.5
LMCA38.8%12.3%Claude Sonnet 4.5
Fiction.LiveBenchNot measured33.3%Only Gemma 3 27B measured
Creative writing (Lech Mazur)Not measured79.9%Only Gemma 3 27B measured
LMArena Text14381358Claude Sonnet 4.5
LMArena Text: instruction following14591321Claude Sonnet 4.5
LMArena Text: creative writing14421345Claude Sonnet 4.5
LMArena VisionNot measured1165Only Gemma 3 27B measured
LMArena Text: English14501377Claude Sonnet 4.5
LMArena Text: non-English14251334Claude Sonnet 4.5
LMArena Text: Chinese14601346Claude Sonnet 4.5
LMArena Text: German14271362Claude Sonnet 4.5
LMArena Text: Japanese13901287Claude Sonnet 4.5
LMArena Text: Korean14021308Claude Sonnet 4.5
LMArena Text: French14591368Claude Sonnet 4.5
LMArena Text: Spanish14581349Claude Sonnet 4.5
LMArena Text: Russian14371349Claude Sonnet 4.5
LMArena Text: Polish14231345Claude Sonnet 4.5
LMArena Text: multi-turn14651345Claude Sonnet 4.5
LMArena Text: longer queries14751333Claude Sonnet 4.5
LMArena Text: writing and language14421347Claude Sonnet 4.5
LMArena Text: entertainment and media14281320Claude Sonnet 4.5
LMArena Vision: EnglishNot measured1188Only Gemma 3 27B measured
LMArena Vision: ChineseNot measured1164Only Gemma 3 27B measured
LMArena Vision: reading textNot measured1156Only Gemma 3 27B measured
LMArena Vision: humorNot measured1166Only Gemma 3 27B measured
LMArena Vision: captioningNot measured1151Only Gemma 3 27B measured
LMArena Vision: recognizing thingsNot measured1196Only Gemma 3 27B measured
LMArena Vision: creative writingNot measured1177Only Gemma 3 27B measured
LMArena Document1450Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Sonnet 4.5 and Gemma 3 27B
BenchmarkClaude Sonnet 4.5Gemma 3 27BLeader
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

Claude Sonnet 4.5$0.011Fits in one request
Gemma 3 27B$0.0002Fits in one request

Gemma 3 27B costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 4.5$0.195Fits in one request
Gemma 3 27B$0.0049Fits in one request

Gemma 3 27B costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 4.5$0.750Fits in one request
Gemma 3 27B$0.019Exceeds the context window

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 Claude Sonnet 4.5 and Gemma 3 27B
SpecificationAnthropic Claude Sonnet 4.5Google Gemma 3 27B
MakerAnthropicGoogle
WeightsNo public weights listedOpen weights
ReleasedSeptember 29, 2025March 12, 2025
Context window1M131K
Input $/Mtok$3.00$0.08
Output $/Mtok$15.00$0.30
Coding index39.5Not benchmarked
Independent measurements behind it30
Cost per solved task$1.16Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.5 better than Gemma 3 27B for coding?

Only Claude Sonnet 4.5 has a coding score, 39.5 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 50.0x cheaper ($0.30 vs $15.00 per million).

Which is cheaper, Claude Sonnet 4.5 or Gemma 3 27B?

Claude Sonnet 4.5 costs $3.00 per million input tokens and $15.00 per million output tokens; Gemma 3 27B costs $0.08 and $0.30. Cost per solved task is known for Claude Sonnet 4.5 only.

Which has the bigger context window, Claude Sonnet 4.5 or Gemma 3 27B?

Claude Sonnet 4.5, with 1M tokens against 131K.

How many benchmarks is the Claude Sonnet 4.5 vs Gemma 3 27B comparison based on?

40 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 4.5's coding index rests on 3 independent benchmarks and Gemma 3 27B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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