Models

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

Output tokens cost $0.53 per million on ByteDance-Seed/Seed-OSS-36B-Instruct and $3.94 per million on GLM 5.2. Input tokens cost $0.20 per million on ByteDance-Seed/Seed-OSS-36B-Instruct and $1.13 per million on GLM 5.2. Cached input tokens are billed at $0.20 per million on ByteDance-Seed/Seed-OSS-36B-Instruct and $0.28 per million on GLM 5.2. Context lengths are 256,000 tokens on ByteDance-Seed/Seed-OSS-36B-Instruct and 1,000,000 tokens on GLM 5.2. Time to first token (TTFT) measured on AIHubMix is 0.7s on ByteDance-Seed/Seed-OSS-36B-Instruct and 0.6s on GLM 5.2. Measured output throughput is 32.5 tok/s on ByteDance-Seed/Seed-OSS-36B-Instruct and 45.3 tok/s on GLM 5.2.

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$0.20 /M
Output$0.53 /M
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$1.13 /M
Output$3.94 /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
$0.20
$1.13
Output /M
$0.53
$3.94
Cache read /M
$0.20
$0.28
Context length
256,000
1,000,000
Max output
32,000
128,000
Time to First Token
0.7 s
0.6 s
Throughput
32.5 tok/s
45.3 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 /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: $0.53/M output tokens; GLM 5.2: $3.94/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

GLM 5.2: 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 45.3 tok/s and ByteDance-Seed/Seed-OSS-36B-Instruct at 32.5 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

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.

Popular comparisons

Related model match-ups readers also look at.