Models

ByteDance-Seed/Seed-OSS-36B-Instruct vs Kimi K3

Compare ByteDance-Seed/Seed-OSS-36B-Instruct from ByteDance 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.

ByteDanceByteDance-Seed/Seed-OSS-36B-InstructMoonshot AIKimi K3
ByteDance logo
ByteDance-Seed/Seed-OSS-36B-Instruct
ByteDance · text, image → text

Seed-OSS is a series of open-source large language models developed by ByteDance's Seed team, designed specifically for powerful long-context processing, reasoning, agents, and general capabilities. Among this series, Seed-OSS-36B-Instruct is an instruction-tuned model with 36 billion parameters that natively supports ultra-long context lengths, enabling it to process massive documents or complex codebases in a single pass. This model is specially optimized for reasoning, code generation, and agent tasks (such as tool usage), while maintaining balanced and excellent general capabilities. A notable feature of this model is the "Thinking Budget" functionality, which allows users to flexibly adjust the inference length as needed, thereby effectively improving inference efficiency in practical applications.

Input$0.2 /M
Output$0.534 /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.

ByteDance-Seed/Seed-OSS-36B-Instruct
Kimi K3
Input /M
$0.2
$3$2.710%
Output /M
$0.534
$15$13.510%
Cache read /M
-
$0.3$0.2710%
Context length
256,000
1,048,576
Max output
32,000
1,048,576
Time to First Token
0.6 s
0.9 s
Throughput
33.7 tok/s
73.1 tok/s
Modalities
textimage
textimagevideo
Supported Parameters
thinking,toolsfunction callingstructured outputs
thinkingfunction callingstructured outputs
API Formats
Released
-
-

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.

ByteDance-Seed/Seed-OSS-36B-Instructkimi-k3

Tokens / day

-

Requests / day

-

Performance Past 3 Days

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

ByteDance-Seed/Seed-OSS-36B-Instructkimi-k3

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

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Cost calculator

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

ByteDance-Seed/Seed-OSS-36B-Instruct
$20.01 /mo
Kimi K3
$405$365 /mo

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

FAQ

Which is cheaper: ByteDance-Seed/Seed-OSS-36B-Instruct, Kimi K3?

ByteDance-Seed/Seed-OSS-36B-Instruct: $0.534/M output tokens; Kimi K3: $13.5/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

ByteDance-Seed/Seed-OSS-36B-Instruct: 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?

ByteDance-Seed/Seed-OSS-36B-Instruct accepts 256,000 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 32,000 tokens on ByteDance-Seed/Seed-OSS-36B-Instruct and 1,048,576 tokens on Kimi K3.

Which one generates tokens faster?

Kimi K3 at 73.1 tok/s and ByteDance-Seed/Seed-OSS-36B-Instruct at 33.7 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

ByteDance-Seed/Seed-OSS-36B-Instruct accepts text and image input and supports function calling and structured outputs; Kimi K3 accepts text, image and video input and supports thinking, function calling and structured outputs.

Can I call ByteDance-Seed/Seed-OSS-36B-Instruct 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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