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Model comparison

Gemini 3.5 Flash vs GLM 5.2

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

Catalog record checked September 3, 2026Individual provider fields may changeEvidence confidence: High — see receipts below

Google

Gemini 3.5 Flash

Balanced

vs

Z.ai

GLM 5.2

Balanced · Open weights

AI model capability comparison
SpecificationGemini 3.5 FlashGLM 5.2
ProviderGoogleZ.ai
TierBalancedBalanced
Context window1M1M
Max output64KWinner: 128K
Input / 1M tokens$1.50Winner: $1.40
Output / 1M tokens$9Winner: $4.40
WeightsClosedOpen
ParametersNot disclosedUnverifiedopen MoE
Reasoning levelslow, medium, highlow, high, max
Modalitiestext, image, video, audio, pdftext
API model idgemini-3.5-flashglm-5.2
ReleasedMay 19, 2026March 15, 2026
Artificial Analysis Intelligence Index (2026-08-14)Winner: 5350

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

  • 2026-08-14: Artificial AnalysisComposite index blending reasoning, knowledge, and coding evals into one 0–100 score. Comparability: directly comparable — AA occasionally rebaselines the index scale between snapshots — a score captured on one date is only comparable to same-snapshot scores (check measuredAt).

Pricing tiers: Gemini 3.5 Flash: $1.50/$9.00 per MTok (single aggregator source — verify before publishing). 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 2, 2026

Gemini 3.5 Flash

Gemini 3.5 Flash is Google's agent-focused Flash tier launched at Google I/O 2026.

Best for

  • Agentic workflows
  • Multimodal input
  • High-volume work

Watch out

Price is single-source; confirm on Google Cloud before relying on it.

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Superseded by GLM 5.3 (Coding Plan 5.2/5.1 requests route to 5.3).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

GLM 5.2 is cheaper on output at $4.40 per million tokens against $9 for Gemini 3.5 Flash — about 2.0×. 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 8 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 3.5 Flash vs GLM 5.2

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

Is Gemini 3.5 Flash or GLM 5.2 cheaper for input?

GLM 5.2 is cheaper at $1.40 per million input tokens, against $1.50 for Gemini 3.5 Flash — roughly 1.1× 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 3.5 Flash has tiered pricing: $1.50/$9.00 per MTok (single aggregator source — verify before publishing). 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 3.5 Flash or GLM 5.2 cheaper for output?

GLM 5.2 is cheaper at $4.40 per million output tokens, against $9 for Gemini 3.5 Flash — roughly 2.0× 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 3.5 Flash has tiered pricing: $1.50/$9.00 per MTok (single aggregator source — verify before publishing). 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 3.5 Flash or GLM 5.2?

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

Do Gemini 3.5 Flash and GLM 5.2 support the same reasoning levels?

Gemini 3.5 Flash exposes low, medium, high, while GLM 5.2 exposes low, high, max.

Should I use Gemini 3.5 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 3.5 Flash suits agentic workflows; GLM 5.2 suits open-weight deployments.

Can I self-host Gemini 3.5 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 3.5 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: GLM 5.2 costs $1.40 per 1M tokens versus $1.50 for Gemini 3.5 Flash — a 1.1x difference at the headline tier.
  • Measured capability: Gemini 3.5 Flash leads Artificial Analysis Intelligence Index 53 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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