Model comparison

Gemma 2 27B vs GPT-5.5 Pro

GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 29.4 on the Noometry Index. Gemma 2 27B costs 104× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.

Last verified . 5 shared benchmarks.

Gemma 2 27B Google

29.4

Rank #312 Confirmed

GPT-5.5 Pro OpenAI

64.3

Rank #8 Confirmed

Summary

  • They share 5 benchmarks with published results for both. Gemma 2 27B scores higher in 0 categories and GPT-5.5 Pro in 3 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-5.5 Pro leads 84.0 to 10.7.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.4% for Gemma 2 27B and 100% for GPT-5.5 Pro.
  • Gemma 2 27B is cheaper at $0.65 / $0.65 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
  • GPT-5.5 Pro accepts more context: 1.05M tokens versus 8K.
  • Gemma 2 27B has downloadable open weights; the other is API-only.

Side by side

Gemma 2 27B and GPT-5.5 Pro specifications
Gemma 2 27BGPT-5.5 Pro
ProviderGoogleOpenAI
Noometry Index29.464.3
Released2024-06-242026-04-23
WeightsOpenProprietary
Context window8K1.05M
Max output2K128K
Input $ / M tokens$0.65$30
Output $ / M tokens$0.65$180
Results tracked3414

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Category by category

Coding Not comparable

Gemma 2 27B: 34.1 (#246), GPT-5.5 Pro: —

Coding benchmarks
BenchmarkGemma 2 27BGPT-5.5 Pro
BigCodeBench Instruct42.8%—
LiveBench Coding36%—
LMArena Coding1211—
BigCodeBench Complete52.5%—

Reasoning GPT-5.5 Pro leads

Gemma 2 27B: 15.3 (#315), GPT-5.5 Pro: 73.3 (#10)

Reasoning benchmarks
BenchmarkGemma 2 27BGPT-5.5 Pro
DTBench48%96%
LMCA7.1%53.9%
Epoch Capabilities Index122.08162.07
ARC-AGI-2—84.6%
SimpleBench—76.9%
ARC-AGI-1—96.5%
CritPt—30.6%
Chess Puzzles—64%
LiveBench Reasoning28.1%—
LMArena Hard Prompts1198—
LiveBench Data Analysis47.9%—
LiveBench38.2%—

Math GPT-5.5 Pro leads

Gemma 2 27B: 10.7 (#311), GPT-5.5 Pro: 84.0 (#10)

Math benchmarks
BenchmarkGemma 2 27BGPT-5.5 Pro
OTIS Mock AIME 2024-20251.4%100%
FrontierMath (Tiers 1-3)—87.7%
FrontierMath Tier 4—78%
LiveBench Math26.5%—
LMArena Math1212—
MATH Level 527.9%—
FrontierMath (Feb 2025 set)—52.4%
FrontierMath Tier 4 (v1)—39.6%

Knowledge GPT-5.5 Pro leads

Gemma 2 27B: 19.0 (#280), GPT-5.5 Pro: 64.1 (#19)

Knowledge benchmarks
BenchmarkGemma 2 27BGPT-5.5 Pro
GPQA Diamond36.5%93.9%
Confabulations27.1%—
LMArena Expert1172—
MMLU75.7%—

Multilingual Not comparable

Gemma 2 27B: 38.6 (#226), GPT-5.5 Pro: —

Multilingual benchmarks
BenchmarkGemma 2 27BGPT-5.5 Pro
LMArena Non-English1217—
LMArena Chinese1221—
LMArena French1247—
LMArena German1209—
LMArena Japanese1175—
LMArena Korean1174—
LMArena Russian1234—
LMArena Spanish1228—

Instruction Following Not comparable

Gemma 2 27B: 60.5 (#249), GPT-5.5 Pro: —

Instruction Following benchmarks
BenchmarkGemma 2 27BGPT-5.5 Pro
LiveBench Instruction Following58.1%—
LMArena Instruction Following1206—

Long Context Not comparable

Gemma 2 27B: 37.3 (#218), GPT-5.5 Pro: —

Long Context benchmarks
BenchmarkGemma 2 27BGPT-5.5 Pro
LMArena Longer Query1231—

Writing & Preference Not comparable

Gemma 2 27B: 44.2 (#225), GPT-5.5 Pro: —

Writing & Preference benchmarks
BenchmarkGemma 2 27BGPT-5.5 Pro
LMArena Text1231—
LMArena Creative Writing1241—
LMArena Multi-Turn1224—
LiveBench Language32.6%—

Frequently asked questions

Is Gemma 2 27B better than GPT-5.5 Pro?

GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 29.4 on the Noometry Index. Gemma 2 27B costs 104× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.

Which is cheaper, Gemma 2 27B or GPT-5.5 Pro?

Gemma 2 27B is cheaper. It lists at $0.65 per million input tokens and $0.65 per million output tokens; GPT-5.5 Pro lists at $30 and $180.

Which has the bigger context window?

GPT-5.5 Pro does, with 1.05M tokens against 8K.

How many benchmarks do Gemma 2 27B and GPT-5.5 Pro share?

5 benchmarks have published results for both models. Gemma 2 27B has 34 scored results on Noometry and GPT-5.5 Pro has 14.

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