Noometry

Model comparison

Gemma 2 27B vs GPT-5.3 Chat

GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 29.2 on the Noometry Index. Gemma 2 27B costs 7.4× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

Last verified . 17 shared benchmarks.

Gemma 2 27B Google

29.2

Rank #302 Confirmed

GPT-5.3 Chat OpenAI

42.1

Rank #109 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Gemma 2 27B scores higher in 0 categories and GPT-5.3 Chat in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-5.3 Chat leads 35.4 to 10.0.
  • Gemma 2 27B is cheaper at $0.65 / $0.65 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
  • GPT-5.3 Chat accepts more context: 128K tokens versus 8K.
  • Gemma 2 27B has downloadable open weights; the other is API-only.

Side by side

Gemma 2 27BGPT-5.3 Chat
ProviderGoogleOpenAI
Noometry Index29.242.1
Released2024-06-242026-03-03
WeightsOpenProprietary
Context window8K128K
Max output2K16K
Input $ / M tokens$0.65$1.75
Output $ / M tokens$0.65$14
Results tracked3418

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Category by category

Coding GPT-5.3 Chat leads

Gemma 2 27B: 33.5 (#243), GPT-5.3 Chat: 40.8 (#124)

BenchmarkGemma 2 27BGPT-5.3 Chat
LMArena Coding12111408
BigCodeBench Instruct42.8%—
LiveBench Coding36%—
BigCodeBench Complete52.5%—

Reasoning GPT-5.3 Chat leads

Gemma 2 27B: 14.8 (#313), GPT-5.3 Chat: 27.3 (#105)

BenchmarkGemma 2 27BGPT-5.3 Chat
LMArena Hard Prompts11991399
LiveBench Reasoning28.1%—
DTBench48%—
LiveBench Data Analysis47.9%—
LMCA7.1%—
Epoch Capabilities Index122.06—
LiveBench38.2%—

Math GPT-5.3 Chat leads

Gemma 2 27B: 10.0 (#306), GPT-5.3 Chat: 35.4 (#146)

BenchmarkGemma 2 27BGPT-5.3 Chat
LMArena Math12121389
OTIS Mock AIME 2024-20251.4%—
LiveBench Math26.5%—
MATH Level 527.9%—

Knowledge GPT-5.3 Chat leads

Gemma 2 27B: 18.9 (#275), GPT-5.3 Chat: 38.2 (#137)

BenchmarkGemma 2 27BGPT-5.3 Chat
LMArena Expert11721397
GPQA Diamond36.5%—
Confabulations27.1%—
MMLU75.7%—

Multilingual GPT-5.3 Chat leads

Gemma 2 27B: 38.8 (#221), GPT-5.3 Chat: 50.5 (#119)

BenchmarkGemma 2 27BGPT-5.3 Chat
LMArena Non-English12171383
LMArena Chinese12211433
LMArena French12461398
LMArena German12091384
LMArena Japanese11751351
LMArena Korean11741347
LMArena Russian12341400
LMArena Spanish12281371

Instruction Following GPT-5.3 Chat leads

Gemma 2 27B: 60.7 (#244), GPT-5.3 Chat: 73.0 (#124)

BenchmarkGemma 2 27BGPT-5.3 Chat
LMArena Instruction Following12061378
LiveBench Instruction Following58.1%—

Long Context GPT-5.3 Chat leads

Gemma 2 27B: 37.3 (#213), GPT-5.3 Chat: 42.6 (#115)

BenchmarkGemma 2 27BGPT-5.3 Chat
LMArena Longer Query12311396

Writing & Preference GPT-5.3 Chat leads

Gemma 2 27B: 44.4 (#220), GPT-5.3 Chat: 63.3 (#65)

BenchmarkGemma 2 27BGPT-5.3 Chat
LMArena Text12311389
LMArena Creative Writing12411356
LMArena Multi-Turn12241413
EQ-Bench Creative Writing—1690
LiveBench Language32.6%—

Frequently asked questions

Is Gemma 2 27B better than GPT-5.3 Chat?

GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 29.2 on the Noometry Index. Gemma 2 27B costs 7.4× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

Which is cheaper, Gemma 2 27B or GPT-5.3 Chat?

Gemma 2 27B is cheaper. It lists at $0.65 per million input tokens and $0.65 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

Is Gemma 2 27B or GPT-5.3 Chat better for coding?

GPT-5.3 Chat scores higher on coding benchmarks: 40.8 versus 33.5 in the Noometry coding category.

Which has the bigger context window?

GPT-5.3 Chat does, with 128K tokens against 8K.

How many benchmarks do Gemma 2 27B and GPT-5.3 Chat share?

17 benchmarks have published results for both models. Gemma 2 27B has 34 scored results on Noometry and GPT-5.3 Chat has 18.

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