Models

Doubao Seed 1.6 Flash vs GLM 5.2

Output tokens cost $0.44 per million on Doubao Seed 1.6 Flash and $3.94 per million on GLM 5.2. Input tokens cost $0.04 per million on Doubao Seed 1.6 Flash and $1.13 per million on GLM 5.2. Cached input tokens are billed at $0.04 per million on Doubao Seed 1.6 Flash and $0.28 per million on GLM 5.2. Context lengths are 256,000 tokens on Doubao Seed 1.6 Flash and 1,000,000 tokens on GLM 5.2. Time to first token (TTFT) measured on AIHubMix is 1.8s on Doubao Seed 1.6 Flash and 0.6s on GLM 5.2. Measured output throughput is 46.4 tok/s on Doubao Seed 1.6 Flash and 42.2 tok/s on GLM 5.2.

ByteDanceDoubao Seed 1.6 FlashZ.AIGLM 5.2
ByteDance logo
Doubao Seed 1.6 Flash
ByteDance · text, image, video → text

Doubao-Seed-1.6-flash is an extremely fast multimodal deep thinking model, with TPOT requiring only 10ms. It supports both text and visual understanding, with its text comprehension skills surpassing the previous generation lite model and its visual understanding on par with competitor's pro series models. It supports a 256k context window and an output length of up to 16k tokens.

Input$0.04 /M
Output$0.44 /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 1.6 Flash
GLM 5.2
Input /M
$0.04
$1.13
Output /M
$0.44
$3.94
Cache read /M
$0.04
$0.28
Context length
256,000
1,000,000
Max output
33,000
128,000
Time to First Token
1.8 s
0.6 s
Throughput
46.4 tok/s
42.2 tok/s
Modalities
textimagevideo
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.

doubao-seed-1-6-flashglm-5.2

Tokens / day

-

Requests / day

-

Performance Past 3 Days

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

doubao-seed-1-6-flashglm-5.2

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

Cost calculator

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

Doubao Seed 1.6 Flash
$9.24 /mo
GLM 5.2
$127 /mo

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

FAQ

Which is cheaper: Doubao Seed 1.6 Flash, GLM 5.2?

Doubao Seed 1.6 Flash: $0.44/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?

Doubao Seed 1.6 Flash accepts 256,000 and GLM 5.2 accepts 1,000,000 input tokens. Maximum output per request is 33,000 tokens on Doubao Seed 1.6 Flash and 128,000 tokens on GLM 5.2.

Which one generates tokens faster?

Doubao Seed 1.6 Flash at 46.4 tok/s and GLM 5.2 at 42.2 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 1.6 Flash accepts text, image and video 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 Doubao Seed 1.6 Flash 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.