Models

DeepSeek V4 Flash vs Gemini 2.5 Flash Lite

Compare DeepSeek V4 Flash from DeepSeek and Gemini 2.5 Flash Lite from Google on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

DeepSeekDeepSeek V4 FlashGoogleGemini 2.5 Flash Lite
DeepSeek logo
DeepSeek V4 Flash
DeepSeek · text → text

(This model currently points to the older 0423 version; if you need to request the latest version, you can choose the model deepseek-v4-flash-0731)DeepSeek-V4 features an ultra-long context of one million characters and achieves leading performance domestically and in the open-source domain in agent capabilities, world knowledge, and reasoning.

Input$0.142 /M
Output$0.284 /M
Cache read$0.0284 /M
Google logo
Gemini 2.5 Flash Lite
Google · text, image, video, audio, pdf → text

Gemini 2.5 Flash-Lite is a balanced model from Google, optimized for applications that require low-latency performance. It retains the practical capabilities of the Gemini 2.5 family, including configurable reasoning based on budget, integration with tools such as grounding via Google Search and code execution, multimodal input support, and an ultra-long context window of up to 1 million tokens, delivering a strong balance between efficiency, functionality, and cost.

Input$0.1 /M
Output$0.4 /M
Cache read$0.01 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

DeepSeek V4 Flash
Gemini 2.5 Flash Lite
Input /M
$0.142
$0.1
Output /M
$0.284
$0.4
Cache read /M
$0.0284
$0.01
Context length
1,000,000
1,048,576
Max output
384,000
65,536
Time to First Token
1.0 s
0.9 s
Throughput
66.5 tok/s
51.0 tok/s
Modalities
text
textimagevideoaudiopdf
Supported Parameters
toolsfunction callingstructured outputsthinking
toolsfunction callingstructured outputslong context
API Formats
chat_completions · claude_api
Released
April 24, 2026
June 17, 2025

Promotional prices show the discounted rate; see each model page for promotion windows.

Activity Past 30 Days

Daily traffic served through AIHubMix — how demand for each model is trending.

deepseek-v4-flashgemini-2.5-flash-lite

Tokens / day

-

Requests / day

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Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

deepseek-v4-flashgemini-2.5-flash-lite

Throughput (tok/s)

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TTFT (s)

-

Uptime (%)

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LMArena Benchmarks

LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.

Text
deepseek-v4-flashgemini-2.5-flash-lite
1380142014601500
Overall
14111436
Coding
14241483
Math
14061426
Hard prompts
14201459
Instruction following
14021428
Multi-turn
14031452
Creative writing
13971408
Longer query
14191448
Chinese
14451473
English
14121445

Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.

Cost calculator

Estimate your monthly bill for the same workload on each model.

Gemini 2.5 Flash Lite
$12.00 /mo
DeepSeek V4 Flash
$12.78 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: DeepSeek V4 Flash, Gemini 2.5 Flash Lite?

DeepSeek V4 Flash: $0.284/M output tokens; Gemini 2.5 Flash Lite: $0.4/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

DeepSeek V4 Flash: 1483; Gemini 2.5 Flash Lite: 1424 (LMArena coding leaderboard).

Which responds faster?

Gemini 2.5 Flash Lite: 0.9s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.

How large is each context window?

DeepSeek V4 Flash accepts 1,000,000 and Gemini 2.5 Flash Lite accepts 1,048,576 input tokens. Maximum output per request is 384,000 tokens on DeepSeek V4 Flash and 65,536 tokens on Gemini 2.5 Flash Lite.

Which one generates tokens faster?

DeepSeek V4 Flash at 66.5 tok/s and Gemini 2.5 Flash Lite at 51.0 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

DeepSeek V4 Flash accepts text input and supports tool calling, function calling, structured outputs and thinking; Gemini 2.5 Flash Lite accepts text, image, video, audio and PDF input and supports tool calling, function calling, structured outputs and long context.

Can I call DeepSeek V4 Flash and Gemini 2.5 Flash Lite with the same API key?

Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.

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