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Model comparison

Gemini 3.6 Flash vs GLM 5.2

Google against Z.ai, compared on context, price, and verified benchmark results.

Catalog record checked September 5, 2026Individual provider fields may changeEvidence confidence: High — see receipts below

Google

Gemini 3.6 Flash

Balanced

vs

Z.ai

GLM 5.2

Balanced · Open weights

AI model capability comparison
SpecificationGemini 3.6 FlashGLM 5.2
ProviderGoogleZ.ai
TierBalancedBalanced
Context window1M1M
Max output64KWinner: 128K
Input / 1M tokensWinner: $0.75$1.40
Output / 1M tokensWinner: $3.75$4.40
WeightsClosedOpen
ParametersNot disclosedUnverifiedopen MoE
Reasoning levelslow, medium, highlow, high, max
Modalitiestext, image, video, audio, pdftext
API model idgemini-3.6-flashglm-5.2
ReleasedJuly 21, 2026March 15, 2026
Artificial Analysis Intelligence Index (2026-08-14)Winner: 5450
Terminal-Bench 2.1 (2026-07)78Not verifiedUnverified
DeepSWE 1.1 (2026-07)48.6Not verifiedUnverified
Humanity's Last Exam (2026-08)51.2Not verifiedUnverified

Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Bold indicates the better figure where one is objectively better. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.

Benchmark receipts

Pricing tiers: Gemini 3.6 Flash: $0.75/$3.75 per MTok (intro through 2026-12-31, then $1.50/$7.50). Multimodal input. · GLM 5.2: Z.ai's per-token table lists $1.40/$4.40 per MTok (same list as 5.3). Open-weight, text-only; 1M context, 128K max output per Z.ai docs.

BalancedRecord checked September 5, 2026

Gemini 3.6 Flash

Gemini 3.6 Flash is Google's balanced multimodal Flash tier with a 1M-token context.

Best for

  • Multimodal pipelines
  • High-volume processing
  • Video and audio input

Watch out

Superseded by 3.7 Flash on quality; still a solid mid-tier.

BalancedOpen weightsRecord checked September 3, 2026

GLM 5.2

GLM 5.2 is Zhipu's previous-generation open-weight model with strong cost-performance.

Best for

  • Open-weight deployments
  • Reasoning
  • Cost-sensitive work

Watch out

Superseded by GLM 5.3 (Coding Plan 5.2/5.1 requests route to 5.3). Parameter count: sources disagree.

When the cheaper one wins

Gemini 3.6 Flash is cheaper on output at $3.75 per million tokens against $4.40 for GLM 5.2 — about 1.2×. Use the cheaper tier for classification, extraction, summarisation, and any task where the expensive model’s extra score does not change the accepted output. The expensive one only pays if your hardest task actually fails on the cheap tier. These are standard-tier API rates, excluding batch and cache discounts.

Run the model picker

Evidence confidence: High

How strong and complete the evidence behind this comparison is — not a prediction of which model is better.

  • Pricing verified on both sidesInput and output rates are verified for both models.
  • 4/5 core specs verified on both sidesNot published for at least one side: parameter count.
  • 1 shared named benchmark with differing scoresMeasured on: Artificial Analysis Intelligence Index.
  • Verified within the last 90 daysNewest catalog check was 6 days ago.
  • Both models carry source citationsEach side has at least two catalog sources on record.

Source receipts

Each catalog figure was checked against the provider or an independent second source on the date shown.

Common questions

Gemini 3.6 Flash vs GLM 5.2

Answered from the verified figures on this page rather than general guidance.

Is Gemini 3.6 Flash or GLM 5.2 cheaper for input?

Gemini 3.6 Flash is cheaper at $0.75 per million input tokens, against $1.40 for GLM 5.2 — roughly 1.9× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; Gemini 3.6 Flash has tiered pricing: $0.75/$3.75 per MTok (intro through 2026-12-31, then $1.50/$7.50). Multimodal input. GLM 5.2 has tiered pricing: Z.ai's per-token table lists $1.40/$4.40 per MTok (same list as 5.3). Open-weight, text-only; 1M context, 128K max output per Z.ai docs.

Is Gemini 3.6 Flash or GLM 5.2 cheaper for output?

Gemini 3.6 Flash is cheaper at $3.75 per million output tokens, against $4.40 for GLM 5.2 — roughly 1.2× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; Gemini 3.6 Flash has tiered pricing: $0.75/$3.75 per MTok (intro through 2026-12-31, then $1.50/$7.50). Multimodal input. GLM 5.2 has tiered pricing: Z.ai's per-token table lists $1.40/$4.40 per MTok (same list as 5.3). Open-weight, text-only; 1M context, 128K max output per Z.ai docs.

Which has the larger context window, Gemini 3.6 Flash or GLM 5.2?

Both accept about 1M tokens of context, so document length will not decide between them.

Do Gemini 3.6 Flash and GLM 5.2 support the same reasoning levels?

Gemini 3.6 Flash exposes low, medium, high, while GLM 5.2 exposes low, high, max.

Should I use Gemini 3.6 Flash or GLM 5.2?

Both sit in the balanced tier, so the choice usually comes down to price and context rather than capability. Gemini 3.6 Flash suits multimodal pipelines; GLM 5.2 suits open-weight deployments.

Can I self-host Gemini 3.6 Flash or GLM 5.2?

GLM 5.2 publishes open weights, but self-hosting and third-party provider access depend on the licence, hardware, serving support, and availability. Gemini 3.6 Flash is a closed model whose supported access paths are controlled by its provider.

Next step

Choosing between them

The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.

  • Input price: Gemini 3.6 Flash costs $0.75 per 1M tokens versus $1.40 for GLM 5.2 — a 1.9x difference at the headline tier.
  • Measured capability: Gemini 3.6 Flash leads Artificial Analysis Intelligence Index 54 to 50 (measured 2026-08-14).
  • Deployment: GLM 5.2 publishes weights you can self-host; the other is API-only.

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