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Gemini 3.5 Flash Lite vs DeepSeek V4 Flash 0731

Detailed technical comparison between Gemini 3.5 Flash Lite (Google) and DeepSeek V4 Flash 0731 (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

Gemini 3.5 Flash Lite: 6 WinsvsDeepSeek V4 Flash 0731: 0 Wins
Context Leader

Tie

Equal Capacity
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

DeepSeek V4 Flash 0731

$0.09 / MTok
Googleactive

Gemini 3.5 Flash Lite

Gemini 3.5 Flash Lite is an advanced artificial intelligence model engineered by Google. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Gemini 3.5 Flash Lite represents a key architectural iteration in the Google model family. First released in 2026-07-21, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,048,576 tokens (approximately 1,398 words), Gemini 3.5 Flash Lite processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View Gemini 3.5 Flash Lite Full Specs โ†’
DeepSeekactive

DeepSeek V4 Flash 0731

DeepSeek V4 Flash 0731 is an advanced artificial intelligence model engineered by DeepSeek. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, DeepSeek V4 Flash 0731 represents a key architectural iteration in the DeepSeek model family. First released in 2026-07-31, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,048,576 tokens (approximately 1,398 words), DeepSeek V4 Flash 0731 processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View DeepSeek V4 Flash 0731 Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationGemini 3.5 Flash LiteDeepSeek V4 Flash 0731
ProviderGoogleDeepSeek
Context Window1,048,576 tokens1,048,576 tokens
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apiself hostable
Production StabilityBeta Access (est.)Beta Access (est.)
API AvailableYesYes
Released Date2026-07-212026-07-31

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.5 Flash Lite

$0.30

DeepSeek V4 Flash 0731

$0.09

Output Price per Million Tokens

Gemini 3.5 Flash Lite

$2.50

DeepSeek V4 Flash 0731

$0.18

๐Ÿ’ก Cost Ratio: DeepSeek V4 Flash 0731 is 3.3x 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.

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
73.2%vs73.0%+0.2% Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite ๐Ÿ†
DeepSeek V4 Flash 0731
HumanEvalPython coding & logic synthesis
69.4%vs69.2%+0.2% Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite ๐Ÿ†
DeepSeek V4 Flash 0731
MATHComplex mathematical problem solving
42.6%vs42.4%+0.2% Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite ๐Ÿ†
DeepSeek V4 Flash 0731
GPQAGraduate-level expert reasoning
30.0%vs29.8%+0.2% Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite ๐Ÿ†
DeepSeek V4 Flash 0731
HellaSwagCommonsense reasoning and inference
77.2%vs77.0%+0.2% Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite ๐Ÿ†
DeepSeek V4 Flash 0731
MT-BenchMulti-turn conversation flow quality
8.0%vs8.0%+0.0% Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite ๐Ÿ†
DeepSeek V4 Flash 0731

Gemini 3.5 Flash Lite Quirks & Gotchas

No developer gotchas reported.

DeepSeek V4 Flash 0731 Quirks & Gotchas

No developer gotchas reported.

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