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DeepSeek V4 Pro 0813 vs Gemini 3.7 Flash

Compare DeepSeek V4 Pro 0813 from DeepSeek and Gemini 3.7 Flash 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 Pro 0813GoogleGemini 3.7 Flash
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DeepSeek logo
DeepSeek V4 Pro 0813
DeepSeek · text → text

DeepSeek V4 Pro 0813 is DeepSeek’s high-performance general-purpose reasoning and agent model, designed for complex reasoning, coding, long-document analysis, and agentic workflows. It supports thinking and non-thinking modes, a 1M-token context window, up to 384K output, tool calling, and the Responses API. Compared with V4 Flash 0731, Pro prioritizes capability on complex tasks, while Flash focuses on speed, cost efficiency, and high concurrency.

Input$0.6918 /M
Output$2.0754 /M
Cache read$0.023 /M
Details
Google logo
Gemini 3.7 Flash
Google · text, image, video, audio, pdf → text

Gemini 3.7 Flash is Google’s natively multimodal reasoning model for coding, agents, web development, and knowledge work. It supports a 1M-token context window and adjustable thinking levels. Compared with Gemini 3.6 Flash, it improves coding, tool use, multi-step planning, and instruction following.

Input$0.75 /M
Output$3.75 /M
Cache read$0.075 /M
Details

Pricing & Specifications

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

DeepSeek V4 Pro 0813
Gemini 3.7 Flash
Input /M
$0.6918
$0.75
Output /M
$2.0754
$3.75
Cache read /M
$0.023
$0.075
Context length
1,000,000
1,048,576
Max output
384,000
65,536
Time to First Token
1.0 s
18.4 s
Throughput
29.3 tok/s
79.5 tok/s
Modalities
text
textimagevideoaudiopdf
Supported Parameters
toolsfunction callingstructured outputsthinking
thinkingtoolsfunction callingstructured outputsweblong context
API Formats
chat_completions · gemini_api · claude_api
Released
August 13, 2026
August 13, 2026

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-pro-0813gemini-3.7-flash

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-pro-0813gemini-3.7-flash

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-pro-0813gemini-3.7-flash
14201460150015401580
Overall
14581491
Coding
15021522
Math
14451524
Hard prompts
14801508
Instruction following
14531485
Multi-turn
14761498
Creative writing
14441496
Longer query
14721500
Chinese
14941554
English
14671489
WebDev Arena
deepseek-v4-pro-0813gemini-3.7-flash
1400148015601640
Overall
14461587
React
14391581
HTML
14351625
Gaming
14491635
Simulations
14421625
Data analytics
14361569

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.

DeepSeek V4 Pro 0813
$72.64 /mo
Gemini 3.7 Flash
$101 /mo

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

FAQ

Which is cheaper: DeepSeek V4 Pro 0813, Gemini 3.7 Flash?

DeepSeek V4 Pro 0813: $2.0754/M output tokens; Gemini 3.7 Flash: $3.75/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Gemini 3.7 Flash: 1522; DeepSeek V4 Pro 0813: 1502 (LMArena coding leaderboard).

Which responds faster?

DeepSeek V4 Pro 0813: 1.0s 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 Pro 0813 accepts 1,000,000 and Gemini 3.7 Flash accepts 1,048,576 input tokens. Maximum output per request is 384,000 tokens on DeepSeek V4 Pro 0813 and 65,536 tokens on Gemini 3.7 Flash.

Which one generates tokens faster?

Gemini 3.7 Flash at 79.5 tok/s and DeepSeek V4 Pro 0813 at 29.3 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 Pro 0813 accepts text input and supports tool calling, function calling, structured outputs and thinking; Gemini 3.7 Flash accepts text, image, video, audio and PDF input and supports thinking, tool calling, function calling, structured outputs, web search and long context.

Can I call DeepSeek V4 Pro 0813 and Gemini 3.7 Flash 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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