Models

Doubao Seed 2.0 Mini vs GLM 5.2

Output tokens cost $0.30 per million on Doubao Seed 2.0 Mini and $3.94 per million on GLM 5.2. Input tokens cost $0.03 per million on Doubao Seed 2.0 Mini and $1.13 per million on GLM 5.2. Cached input tokens are billed at $0.01 per million on Doubao Seed 2.0 Mini and $0.28 per million on GLM 5.2. Context lengths are 256,000 tokens on Doubao Seed 2.0 Mini and 1,000,000 tokens on GLM 5.2. Time to first token (TTFT) measured on AIHubMix is 4.2s on Doubao Seed 2.0 Mini and 1.2s on GLM 5.2. Measured output throughput is 35.1 tok/s on Doubao Seed 2.0 Mini and 41.4 tok/s on GLM 5.2.

ByteDanceDoubao Seed 2.0 MiniZ.AIGLM 5.2
ByteDance logo
Doubao Seed 2.0 Mini
ByteDance · text, image, video → text

Doubao 2.0 series is designed for low-latency, high-concurrency, and cost-sensitive scenarios, emphasizing fast responses and flexible inference deployment. Model performance is comparable to Doubao-Seed-1.6. It supports a 256k context window, four levels of thinking length, and multimodal understanding, making it suitable for lightweight tasks that prioritize cost and speed.

Input$0.03 /M
Output$0.30 /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.

Doubao Seed 2.0 Mini
GLM 5.2
Input /M
$0.03
$1.13
Output /M
$0.30
$3.94
Cache read /M
$0.01
$0.28
Context length
256,000
1,000,000
Max output
32,000
128,000
Time to First Token
4.2 s
1.2 s
Throughput
35.1 tok/s
41.4 tok/s
Modalities
textimagevideo
text
Supported Parameters
thinkingwebtoolsfunction callingstructured outputs
thinkingtoolsfunction callingstructured outputs
API Formats
chat_completions · claude_api
Released
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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.

doubao-seed-2-0-miniglm-5.2

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.

doubao-seed-2-0-miniglm-5.2

Throughput (tok/s)

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TTFT (s)

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Uptime (%)

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Cost calculator

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

Doubao Seed 2.0 Mini
$6.33 /mo
GLM 5.2
$127 /mo

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

FAQ

Which is cheaper: Doubao Seed 2.0 Mini, GLM 5.2?

Doubao Seed 2.0 Mini: $0.30/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: 1.2s 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?

Doubao Seed 2.0 Mini accepts 256,000 and GLM 5.2 accepts 1,000,000 input tokens. Maximum output per request is 32,000 tokens on Doubao Seed 2.0 Mini and 128,000 tokens on GLM 5.2.

Which one generates tokens faster?

GLM 5.2 at 41.4 tok/s and Doubao Seed 2.0 Mini at 35.1 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

Doubao Seed 2.0 Mini accepts text, image and video input and supports thinking, web search, tool calling, function calling and structured outputs; GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs.

Can I call Doubao Seed 2.0 Mini 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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