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DeepSeek V4 Pro vs Gemini 3.1 Flash Lite

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for DeepSeek V4 Pro and Gemini 3.1 Flash Lite.

DeepSeek

DeepSeek V4 Pro

DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...

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Google

Gemini 3.1 Flash Lite

Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. It supports text, image, video, audio, and PDF inputs, and is designed for lightweight agentic...

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Technical Specifications

SpecificationDeepSeek V4 ProGemini 3.1 Flash Lite
ProviderDeepSeekGoogle
Context Window1,048,576 tokens1,048,576 tokens
Agent Suitability94/100N/A
Time to First Token (TTFT)280 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2026-04-242026-05-07

API Pricing Comparison

Input Price per Million Tokens

DeepSeek V4 Pro

$0.43

Gemini 3.1 Flash Lite

$0.25

Output Price per Million Tokens

DeepSeek V4 Pro

$0.87

Gemini 3.1 Flash Lite

$1.50

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
8850.0%vsN/A
DeepSeek V4 Pro
Gemini 3.1 Flash Lite
HumanEvalPython coding & logic synthesis
8900.0%vsN/A
DeepSeek V4 Pro
Gemini 3.1 Flash Lite
MATHComplex mathematical problem solving
7460.0%vsN/A
DeepSeek V4 Pro
Gemini 3.1 Flash Lite
GPQAGraduate-level expert reasoning
4900.0%vsN/A
DeepSeek V4 Pro
Gemini 3.1 Flash Lite
HellaSwagCommonsense reasoning and inference
8750.0%vsN/A
DeepSeek V4 Pro
Gemini 3.1 Flash Lite
MT-BenchMulti-turn conversation flow quality
918.0%vsN/A
DeepSeek V4 Pro
Gemini 3.1 Flash Lite

DeepSeek V4 Pro Quirks & Gotchas

  • MoE architecture — cold-start latency on first request, use keep-alive
  • Best cost-performance ratio of any frontier model — strong tool calling for agentic use

Gemini 3.1 Flash Lite Quirks & Gotchas

No developer gotchas reported.