Models

DeepSeek V4 Pro 0813 vs Kimi K3

Compare DeepSeek V4 Pro 0813 from DeepSeek and Kimi K3 from Moonshot AI 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 0813Moonshot AIKimi K3
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
10% off
Moonshot AI logo
Kimi K3
Moonshot AI · text, image, video → text

Kimi K3 is Kimi’s flagship model for long-horizon coding and end-to-end knowledge work, with a 1M-token context window and industry-leading intelligence.

Input$3$2.7 /M
Output$15$13.5 /M
Cache read$0.3$0.27 /M

Pricing & Specifications

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

DeepSeek V4 Pro 0813
Kimi K3
Input /M
$0.6918
$3$2.710%
Output /M
$2.0754
$15$13.510%
Cache read /M
$0.023
$0.3$0.2710%
Context length
1,000,000
1,048,576
Max output
384,000
1,048,576
Time to First Token
1.0 s
0.9 s
Throughput
39.2 tok/s
73.1 tok/s
Modalities
text
textimagevideo
Supported Parameters
toolsfunction callingstructured outputsthinking
thinkingfunction callingstructured outputs
API Formats
Released
August 13, 2026
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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-0813kimi-k3

Tokens / day

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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-0813kimi-k3

Throughput (tok/s)

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TTFT (s)

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Uptime (%)

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LMArena Benchmarks

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

Text
deepseek-v4-pro-0813kimi-k3
1420146015001540
Overall
14581486
Coding
15021531
Math
14451445
Hard prompts
14801505
Instruction following
14531479
Multi-turn
14761499
Creative writing
14441470
Longer query
14721502
Chinese
14941527
English
14671491

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
Kimi K3
$405$365 /mo

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

FAQ

Which is cheaper: DeepSeek V4 Pro 0813, Kimi K3?

DeepSeek V4 Pro 0813: $2.0754/M output tokens; Kimi K3: $13.5/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Kimi K3: 1531; DeepSeek V4 Pro 0813: 1502 (LMArena coding leaderboard).

Which responds faster?

Kimi K3: 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 Pro 0813 accepts 1,000,000 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 384,000 tokens on DeepSeek V4 Pro 0813 and 1,048,576 tokens on Kimi K3.

Which one generates tokens faster?

Kimi K3 at 73.1 tok/s and DeepSeek V4 Pro 0813 at 39.2 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; Kimi K3 accepts text, image and video input and supports thinking, function calling and structured outputs.

Can I call DeepSeek V4 Pro 0813 and Kimi K3 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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