Models

ByteDance-Seed/Seed-OSS-36B-Instruct vs GLM 5.2

Compare ByteDance-Seed/Seed-OSS-36B-Instruct from ByteDance and GLM 5.2 from Z.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-InstructZ.AIGLM 5.2
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
36% off
Z.AI logo
GLM 5.2
Z.AI · text → text

GLM-5.2 is Z.ai’s flagship model for the era of long-horizon tasks. With a truly usable 1M-token context window, it can handle project-level engineering context, execute long-running tasks more reliably, follow engineering standards more consistently, and complete the full development workflow from requirements to multi-platform deployment in a single task.

Input$1.1268$0.7212 /M
Output$3.9438$2.524 /M
Cache read$0.2817$0.1803 /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
GLM 5.2
Input /M
$0.2
$1.1268$0.721236%
Output /M
$0.534
$3.9438$2.52436%
Cache read /M
-
$0.2817$0.180336%
Context length
256,000
1,000,000
Max output
32,000
128,000
Time to First Token
0.6 s
0.6 s
Throughput
33.7 tok/s
35.9 tok/s
Modalities
textimage
text
Supported Parameters
thinking,toolsfunction callingstructured outputs
thinkingtoolsfunction callingstructured outputs
API Formats
chat_completions · claude_api
Released
-
June 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.

ByteDance-Seed/Seed-OSS-36B-Instructglm-5.2

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-Instructglm-5.2

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

Cost calculator

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

ByteDance-Seed/Seed-OSS-36B-Instruct
$20.01 /mo
GLM 5.2
$127$81.13 /mo

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

FAQ

Which is cheaper: ByteDance-Seed/Seed-OSS-36B-Instruct, GLM 5.2?

ByteDance-Seed/Seed-OSS-36B-Instruct: $0.534/M output tokens; GLM 5.2: $2.524/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 GLM 5.2 accepts 1,000,000 input tokens. Maximum output per request is 32,000 tokens on ByteDance-Seed/Seed-OSS-36B-Instruct and 128,000 tokens on GLM 5.2.

Which one generates tokens faster?

GLM 5.2 at 35.9 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; GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs.

Can I call ByteDance-Seed/Seed-OSS-36B-Instruct and GLM 5.2 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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