GLM-5.2 vs Gemini 3.6 Flash: the high volume workhorse showdown

By TechCompare · Updated · How we check

Gemini 3.6 Flash is cheaper than GLM-5.2 on every row, by about 46% on input and 15% on output, and it adds multimodal input. Pick GLM-5.2 only when its results on your own workload justify paying more.

Z.ai: GLM 5.2

Cheapest host: SiliconFlow (fp8)

Input
$1.40
Output
$4.40
Cached
$0.26

per 1M tokens

Batch availableFlex available

Price checked 2026-11-12

Google: Gemini 3.6 Flash

Google AI Studio's own price

Input
$0.75
Output
$3.75
Cached
$0.075

per 1M tokens

Batch availableFlex available

Price checked 2026-11-12

Cost Comparison

Based on 100,000 input tokens (50% cached), 5,000 output tokens, and 100 requests.Prices come live from OpenRouter at each maker's own price where it's listed. Temporary deals are left out.

Loading model prices

GLM-5.2 (Zhipu / Z.ai) and Gemini 3.6 Flash both sit in the workhorse tier of 2026 lineups, each offering a real 1M context window for document-heavy work. On raw price per token, Gemini 3.6 Flash is cheaper on both axes, by about 46% on input and 15% on output. GLM-5.2's case rests on how its results hold up on your own text workloads, not on price.

Two workhorse-tier models targeting the same high-volume document role.

Side-by-side specs

SpecGLM-5.2Gemini 3.6 Flash
Input Cost (per M)
$1.40
$0.75 (better on this spec)
Output Cost (per M)
$4.40
$3.75 (better on this spec)
Cached Input (per M)Cached input is text the provider has already processed. It costs less than fresh input.
$0.26
$0.075 (better on this spec)
Batch input / output (per M)
None
$0.375 / $1.875
Native Audio/Video Input
No
Yes (better on this spec)
Context Window
1M
1.05M

How they differ

GLM-5.2 is priced at $1.40 per million input tokens and $4.40 per million output tokens on Z.ai's official list, with an 81% prompt caching discount ($0.26 per million). Gemini 3.6 Flash is priced at $0.75 per million input tokens and $3.75 per million output tokens, with a 90% caching discount ($0.075 per million) and a 50% batch API discount.

Gemini Flash's input price is about 46% below GLM-5.2's and its output price about 15% below. The cache discount gap (90% vs 81%) widens the difference further for highly repetitive prompts, so GLM-5.2 has to win on quality or workload fit rather than on price. Gemini Flash also accepts full image, audio, and video input.

Verdict

Flash is the default, and GLM-5.2 is the pick when your own evals show results good enough to pay for. Gemini wins every price row: input ($0.75/M vs $1.40, about 46% lower), output ($3.75/M vs $4.40, about 15% lower), and cached input, where it lands at $0.075/M against GLM's $0.26/M. Only Gemini has batch prices here, and only Gemini has native image/audio/video input.

Which should you pick?

Choose GLM-5.2

Text-only or text-and-file pipelines (RAG, classification, document summarization) where your own evals show GLM-5.2 giving better results, so the extra cost is paid back in fewer retries.

Choose Gemini 3.6 Flash

Most price-sensitive workloads: the lower price on every row and multimodal image, audio, or video input. Gemini also brings the deeper 90% cache discount and a batch tier.

Frequently asked questions

Is GLM-5.2 or Gemini 3.6 Flash cheaper for high-volume text workloads?
Gemini 3.6 Flash. At $0.75/M input and $3.75/M output it beats GLM-5.2's $1.40/$4.40 on both base rows, about 46% lower on input and 15% lower on output. For text pipelines (RAG, classification, document summarization), that holds even when output cost dominates the bill.
When does GLM-5.2 beat Gemini 3.6 Flash despite the higher price?
When your own tests show better results on your text tasks. Price no longer favors GLM-5.2: Flash is cheaper on base rates and cache hits, and it also accepts image, audio, and video input, which GLM-5.2 can't. Compare accepted results per dollar, not just the rate card.
How do caching and batch discounts compare?
GLM-5.2 caches at $0.26/M (81% discount) with no batch discount. Gemini 3.6 Flash caches at $0.075/M (90% discount) and offers batch prices of $0.375/M input and $1.875/M output. Flash leads on cached input and batch work as well as on base rates.