AI model comparison

DeepSeek V4 Flash 0731 vs Gemini 2.5 Flash Lite

Side by side comparison of DeepSeek V4 Flash 0731 and Gemini 2.5 Flash Lite on pricing, benchmark scores, context window, and more.

DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total.

Input / 1M
$0.12
Output / 1M
$0.24
Context
1.05M

Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency.

Input / 1M
$0.10
Output / 1M
$0.40
Context
1.05M

Comparing image generators? Compare image models

At a glance

Quick verdict

How the two models stack up on the things people ask about most.

Lower price

deepseek logo

DeepSeek V4 Flash 0731

1.1x cheaper for a typical chat

Higher intelligence score

Not available

Not enough benchmark data

Larger context window

Tie

1.05M vs 1.05M tokens

Newer release

deepseek logo

DeepSeek V4 Flash 0731

Released July 31, 2026

Benchmarks

Benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

deepseek logoDeepSeek V4 Flash 0731Not available
google logoGemini 2.5 Flash LiteNot available

Coding index

deepseek logoDeepSeek V4 Flash 073169.1
google logoGemini 2.5 Flash LiteNot available

Agentic index

deepseek logoDeepSeek V4 Flash 073141
google logoGemini 2.5 Flash LiteNot available

Pricing

DeepSeek V4 Flash 0731 vs Gemini 2.5 Flash Lite API pricing

Per-token API rates. Cheaper option highlighted.

Metricdeepseek logoDeepSeek V4 Flash 0731google logoGemini 2.5 Flash Lite
Input tokensPer 1M tokens$0.12$0.10
Output tokensPer 1M tokens$0.24$0.40
Cached input (read)Per 1M tokens$0.02$0.01
Cache writePer 1M tokensNot available$0.08
Web searchPer requestNot available$0.014

What it costs in practice

Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.

Chat message

2K in, 500 out

deepseek logoDeepSeek V4 Flash 0731$0.36
google logoGemini 2.5 Flash Lite$0.40

Coding task

30K in, 4K out

deepseek logoDeepSeek V4 Flash 0731$4.52$1.67 cached
google logoGemini 2.5 Flash Lite$4.60$1.90 cached

Long document summary

150K in, 2K out

deepseek logoDeepSeek V4 Flash 0731$18.33$4.05 cached
google logoGemini 2.5 Flash Lite$15.80$2.30 cached

Specs

Context window and capabilities

How much each model can read, how much it can write, and what it accepts as input.

Metricdeepseek logoDeepSeek V4 Flash 0731google logoGemini 2.5 Flash Lite
Context window1.05M tokens1.05M tokens
Max output944K tokens66K tokens
Input typesTextAudio, File, Image, Text, Video
Output typesTextText
Reasoning effort levelsMax, High, Low, NoneNot available
Default reasoning effortHighNot available
Release dateJuly 31, 2026July 22, 2025

Features

Supported features

API features available for each model.

Metricdeepseek logoDeepSeek V4 Flash 0731google logoGemini 2.5 Flash Lite
Tool callingSupportedSupported
Structured outputsSupportedSupported
JSON modeSupportedSupported
ReasoningSupportedSupported
TemperatureSupportedSupported
Stop sequencesSupportedSupported
Deterministic seedSupportedSupported
Verbosity controlNot supportedNot supported

Our take

DeepSeek V4 Flash 0731 is 1.1x cheaper for a typical chat. The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.

FAQ

Frequently asked questions

Is DeepSeek V4 Flash 0731 or Gemini 2.5 Flash Lite cheaper?

DeepSeek V4 Flash 0731 is cheaper for a typical chat (2K input tokens and 500 output tokens). DeepSeek V4 Flash 0731 costs $0.12 per 1M input tokens and $0.24 per 1M output tokens, while Gemini 2.5 Flash Lite costs $0.10 per 1M input tokens and $0.40 per 1M output tokens.

Which has a bigger context window, DeepSeek V4 Flash 0731 or Gemini 2.5 Flash Lite?

DeepSeek V4 Flash 0731 supports up to 1.05M tokens of context, compared with 1.05M for Gemini 2.5 Flash Lite.

Can I use DeepSeek V4 Flash 0731 and Gemini 2.5 Flash Lite at the same time?

Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see DeepSeek V4 Flash 0731 and Gemini 2.5 Flash Lite answer side by side and keep the better response.

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Why choose? Ask both.

Send one prompt to DeepSeek V4 Flash 0731 and Gemini 2.5 Flash Lite at the same time. Compare the answers side by side and keep the best one.