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Gemini 3.5 Flash-Lite vs DeepSeek V3.1

Detailed technical comparison between Gemini 3.5 Flash-Lite (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 3.5 Flash-Lite: 0 WinsvsDeepSeek V3.1: 6 Wins
Context Leader

Gemini 3.5 Flash-Lite

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 3.5 Flash-Lite

Gemini 3.5 Flash-Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.

View Gemini 3.5 Flash-Lite 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 3.5 Flash-LiteDeepSeek 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 3.5 Flash-Lite

$0.30

DeepSeek V3.1

$0.25

Output Price per Million Tokens

Gemini 3.5 Flash-Lite

$2.50

DeepSeek V3.1

$0.95

💡 Cost Ratio: DeepSeek V3.1 is 1.2x cheaper per input token than Gemini 3.5 Flash-Lite.

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
73.2%vs80.0%+6.8% DeepSeek V3.1
Gemini 3.5 Flash-Lite
DeepSeek V3.1 🏆
HumanEvalPython coding & logic synthesis
69.4%vs78.2%+8.8% DeepSeek V3.1
Gemini 3.5 Flash-Lite
DeepSeek V3.1 🏆
MATHComplex mathematical problem solving
42.6%vs55.4%+12.8% DeepSeek V3.1
Gemini 3.5 Flash-Lite
DeepSeek V3.1 🏆
GPQAGraduate-level expert reasoning
30.0%vs40.8%+10.8% DeepSeek V3.1
Gemini 3.5 Flash-Lite
DeepSeek V3.1 🏆
HellaSwagCommonsense reasoning and inference
77.2%vs83.0%+5.8% DeepSeek V3.1
Gemini 3.5 Flash-Lite
DeepSeek V3.1 🏆
MT-BenchMulti-turn conversation flow quality
8.0%vs8.6%+0.6% DeepSeek V3.1
Gemini 3.5 Flash-Lite
DeepSeek V3.1 🏆

Gemini 3.5 Flash-Lite Quirks & Gotchas

No developer gotchas reported.

DeepSeek V3.1 Quirks & Gotchas

No developer gotchas reported.

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