โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Gemma 4 26B A4B vs DeepSeek V3.1

Detailed technical comparison between Gemma 4 26B A4B (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 4 26B A4B: 0 WinsvsDeepSeek V3.1: 6 Wins
Context Leader

Gemma 4 26B A4B

262,144 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Gemma 4 26B A4B

$0.12 / MTok
Googleactive

Gemma 4 26B A4B

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference โ€” delivering near-31B quality at...

View Gemma 4 26B A4B 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 4 26B A4BDeepSeek V3.1
ProviderGoogleDeepSeek
Context Window262,144 tokens๐Ÿ†163,840 tokens
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apiself hostable
Production StabilityStable GA (est.)Stable GA (est.)
API AvailableYesYes
Released Date2026-04-032025-08-21

API Pricing Comparison

Input Price per Million Tokens

Gemma 4 26B A4B

$0.12

DeepSeek V3.1

$0.25

Output Price per Million Tokens

Gemma 4 26B A4B

$0.35

DeepSeek V3.1

$0.95

๐Ÿ’ก Cost Ratio: Gemma 4 26B A4B is 2.1x 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
78.4%vs80.0%+1.6% DeepSeek V3.1
Gemma 4 26B A4B
DeepSeek V3.1 ๐Ÿ†
HumanEvalPython coding & logic synthesis
76.6%vs78.2%+1.6% DeepSeek V3.1
Gemma 4 26B A4B
DeepSeek V3.1 ๐Ÿ†
MATHComplex mathematical problem solving
53.8%vs55.4%+1.6% DeepSeek V3.1
Gemma 4 26B A4B
DeepSeek V3.1 ๐Ÿ†
GPQAGraduate-level expert reasoning
39.2%vs40.8%+1.6% DeepSeek V3.1
Gemma 4 26B A4B
DeepSeek V3.1 ๐Ÿ†
HellaSwagCommonsense reasoning and inference
81.4%vs83.0%+1.6% DeepSeek V3.1
Gemma 4 26B A4B
DeepSeek V3.1 ๐Ÿ†
MT-BenchMulti-turn conversation flow quality
8.4%vs8.6%+0.2% DeepSeek V3.1
Gemma 4 26B A4B
DeepSeek V3.1 ๐Ÿ†

Gemma 4 26B A4B Quirks & Gotchas

No developer gotchas reported.

DeepSeek V3.1 Quirks & Gotchas

No developer gotchas reported.

Explore Other Popular Comparisons