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Gemini 3.6 Flash vs DeepSeek V3.1

Detailed technical comparison between Gemini 3.6 Flash (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.

⚡ Executive Summary & Verdict

Comparison Snapshot

Gemini 3.6 Flash: 0 WinsvsDeepSeek V3.1: 6 Wins
Context Leader

Gemini 3.6 Flash

1,048,576 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

DeepSeek V3.1

$0.25 / MTok
Googleactive

Gemini 3.6 Flash

Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...

View Gemini 3.6 Flash Full Specs →
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 →

Technical Specifications

🏆 = Superior Spec
SpecificationGemini 3.6 FlashDeepSeek V3.1
ProviderGoogleDeepSeek
Context Window1,048,576 tokens🏆163,840 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-07-212025-08-21

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.6 Flash

$1.50

DeepSeek V3.1

$0.25

Output Price per Million Tokens

Gemini 3.6 Flash

$7.50

DeepSeek V3.1

$0.95

💡 Cost Ratio: DeepSeek V3.1 is 6.0x cheaper per input token than Gemini 3.6 Flash.

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.

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Benchmark Performance Metrics

Standardized Scores (0–100%)

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

MMLUGeneral knowledge & multi-task understanding
73.6%vs80.0%+6.4% DeepSeek V3.1
Gemini 3.6 Flash
DeepSeek V3.1 🏆
HumanEvalPython coding & logic synthesis
69.8%vs78.2%+8.4% DeepSeek V3.1
Gemini 3.6 Flash
DeepSeek V3.1 🏆
MATHComplex mathematical problem solving
43.0%vs55.4%+12.4% DeepSeek V3.1
Gemini 3.6 Flash
DeepSeek V3.1 🏆
GPQAGraduate-level expert reasoning
30.4%vs40.8%+10.4% DeepSeek V3.1
Gemini 3.6 Flash
DeepSeek V3.1 🏆
HellaSwagCommonsense reasoning and inference
77.6%vs83.0%+5.4% DeepSeek V3.1
Gemini 3.6 Flash
DeepSeek V3.1 🏆
MT-BenchMulti-turn conversation flow quality
8.0%vs8.6%+0.5% DeepSeek V3.1
Gemini 3.6 Flash
DeepSeek V3.1 🏆

Gemini 3.6 Flash Quirks & Gotchas

No developer gotchas reported.

DeepSeek V3.1 Quirks & Gotchas

No developer gotchas reported.

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