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Gemma 2 27B vs DeepSeek V3.1

Detailed technical comparison between Gemma 2 27B (Google) and DeepSeek V3.1 (DeepSeek). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

โšก Executive Summary & Verdict

Comparison Snapshot

Gemma 2 27B: 0 WinsvsDeepSeek V3.1: 6 Wins
Context Leader

DeepSeek V3.1

163,840 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

DeepSeek V3.1

$0.25 / MTok
Googleactive

Gemma 2 27B

Gemma 2 27B by Google is an open model built from the same research and technology used to create the [Gemini models](/models?q=gemini). Gemma models are well-suited for a variety of...

View Gemma 2 27B Full Specs โ†’
DeepSeekactive

DeepSeek V3.1

DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...

View DeepSeek V3.1 Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationGemma 2 27BDeepSeek V3.1
ProviderGoogleDeepSeek
Context Window8,192 tokens163,840 tokens๐Ÿ†
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-07-132025-08-21

API Pricing Comparison

Input Price per Million Tokens

Gemma 2 27B

$0.65

DeepSeek V3.1

$0.25

Output Price per Million Tokens

Gemma 2 27B

$0.65

DeepSeek V3.1

$0.95

๐Ÿ’ก Cost Ratio: DeepSeek V3.1 is 2.6x cheaper per input token than Gemma 2 27B.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0โ€“100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
75.0%vs80.0%+5.0% DeepSeek V3.1
Gemma 2 27B
DeepSeek V3.1 ๐Ÿ†
HumanEvalPython coding & logic synthesis
71.2%vs78.2%+7.0% DeepSeek V3.1
Gemma 2 27B
DeepSeek V3.1 ๐Ÿ†
MATHComplex mathematical problem solving
44.4%vs55.4%+11.0% DeepSeek V3.1
Gemma 2 27B
DeepSeek V3.1 ๐Ÿ†
GPQAGraduate-level expert reasoning
28.4%vs40.8%+12.4% DeepSeek V3.1
Gemma 2 27B
DeepSeek V3.1 ๐Ÿ†
HellaSwagCommonsense reasoning and inference
75.6%vs83.0%+7.4% DeepSeek V3.1
Gemma 2 27B
DeepSeek V3.1 ๐Ÿ†
MT-BenchMulti-turn conversation flow quality
8.2%vs8.6%+0.4% DeepSeek V3.1
Gemma 2 27B
DeepSeek V3.1 ๐Ÿ†

Gemma 2 27B Quirks & Gotchas

No developer gotchas reported.

DeepSeek V3.1 Quirks & Gotchas

No developer gotchas reported.

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