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DeepSeek V3.1 Thinking vs Kimi K3

Compare DeepSeek V3.1 Thinking 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 V3.1 ThinkingMoonshot AIKimi K3
DeepSeek logo
DeepSeek V3.1 Thinking
DeepSeek · text → text

Thinking mode of DeepSeek-V3.1; DeepSeek V3.1 is a text generation model provided by DeepSeek, featuring a hybrid reasoning architecture that achieves an effective integration of thinking and non-thinking modes.

Input$0.56 /M
Output$1.68 /M
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$2.84 /M
Output$14.2 /M
Cache read$0.284 /M

Pricing & Specifications

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

DeepSeek V3.1 Thinking
Kimi K3
Input /M
$0.56
$2.84
Output /M
$1.68
$14.2
Cache read /M
-
$0.284
Context length
128,000
1,048,576
Max output
32,000
1,048,576
Time to First Token
1.3 s
0.6 s
Throughput
31.5 tok/s
73.1 tok/s
Modalities
text
textimagevideo
Supported Parameters
thinkingtoolsfunction callingstructured outputs
thinkingfunction callingstructured outputs
API Formats
Released
August 21, 2025
July 16, 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-V3.1-Thinkkimi-k3

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-V3.1-Thinkkimi-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-V3.1-Thinkkimi-k3
1380142014601500
Overall
14171487
Coding
14581458
Math
14141414
Hard prompts
14371437
Instruction following
14191419
Multi-turn
14141414
Creative writing
14041404
Longer query
14461446
Chinese
14761476
English
14321432

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 V3.1 Thinking
$58.80 /mo
Kimi K3
$383 /mo

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

FAQ

Which is cheaper: DeepSeek V3.1 Thinking, Kimi K3?

DeepSeek V3.1 Thinking: $1.68/M output tokens; Kimi K3: $14.2/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

Kimi K3: 0.6s 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 V3.1 Thinking accepts 128,000 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 32,000 tokens on DeepSeek V3.1 Thinking and 1,048,576 tokens on Kimi K3.

Which one generates tokens faster?

Kimi K3 at 73.1 tok/s and DeepSeek V3.1 Thinking at 31.5 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 V3.1 Thinking accepts text input and supports thinking, tool calling, function calling and structured outputs; Kimi K3 accepts text, image and video input and supports thinking, function calling and structured outputs.

Can I call DeepSeek V3.1 Thinking 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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