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Gemma 3 27B vs DeepSeek V3.1

Detailed technical comparison between Gemma 3 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 3 27B: 0 WinsvsDeepSeek V3.1: 6 Wins
Context Leader

Gemma 3 27B

262,144 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Gemma 3 27B

$0.10 / MTok
Googleactive

Gemma 3 27B

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...

View Gemma 3 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 3 27BDeepSeek V3.1
ProviderGoogleDeepSeek
Context Window262,144 tokens๐Ÿ†163,840 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-03-122025-08-21

API Pricing Comparison

Input Price per Million Tokens

Gemma 3 27B

$0.10

DeepSeek V3.1

$0.25

Output Price per Million Tokens

Gemma 3 27B

$0.30

DeepSeek V3.1

$0.95

๐Ÿ’ก Cost Ratio: Gemma 3 27B is 2.5x cheaper per input token than DeepSeek V3.1.

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
75.2%vs80.0%+4.8% DeepSeek V3.1
Gemma 3 27B
DeepSeek V3.1 ๐Ÿ†
HumanEvalPython coding & logic synthesis
71.4%vs78.2%+6.8% DeepSeek V3.1
Gemma 3 27B
DeepSeek V3.1 ๐Ÿ†
MATHComplex mathematical problem solving
44.6%vs55.4%+10.8% DeepSeek V3.1
Gemma 3 27B
DeepSeek V3.1 ๐Ÿ†
GPQAGraduate-level expert reasoning
28.6%vs40.8%+12.2% DeepSeek V3.1
Gemma 3 27B
DeepSeek V3.1 ๐Ÿ†
HellaSwagCommonsense reasoning and inference
75.8%vs83.0%+7.2% DeepSeek V3.1
Gemma 3 27B
DeepSeek V3.1 ๐Ÿ†
MT-BenchMulti-turn conversation flow quality
7.8%vs8.6%+0.7% DeepSeek V3.1
Gemma 3 27B
DeepSeek V3.1 ๐Ÿ†

Gemma 3 27B Quirks & Gotchas

No developer gotchas reported.

DeepSeek V3.1 Quirks & Gotchas

No developer gotchas reported.

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