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gemini-3.5-flash vs glm-5.3-flash

Side-by-side comparison of gemini-3.5-flash and glm-5.3-flash: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gemini-3.5-flash outperforms glm-5.3-flash on 3 of 5 shared benchmarks.

Benchmark comparison

Intelligence Indexreasoning
gemini-3.5-flash39.7%
glm-5.3-flash46.2%
Coding Indexcoding
gemini-3.5-flash70.1%
glm-5.3-flash71.5%
GPQA Diamondreasoning
gemini-3.5-flash92.2%
glm-5.3-flash91.2%
Terminal-Bench Hardagentic
gemini-3.5-flash40.9%
glm-5.3-flashN/A
τ²-Benchagentic
gemini-3.5-flash95.3%
glm-5.3-flashN/A
SciCodecoding
gemini-3.5-flash53.9%
glm-5.3-flash51.6%
Humanity's Last Examreasoning
gemini-3.5-flash42.7%
glm-5.3-flash39.9%

Scores sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and don't capture every aspect of model quality.

Pricing & specifications

gemini-3.5-flashglm-5.3-flash
Input price / 1M$1.50$0.15$0.07
Output price / 1M$9.00$0.50$0.25
Context window1.0M tokens1M tokens
Max output66K tokens128K tokens
Vision inputYesYes
Tool callingYesYes
ReasoningYesYes
Prompt cachingYesYes
Computer useN/AN/A
ProviderGoogle LLC (Gemini API)Z.ai

Questions people ask

Is gemini-3.5-flash better than glm-5.3-flash?
gemini-3.5-flash outperforms glm-5.3-flash on 3 of 5 shared benchmarks. See the benchmark comparison above for specifics: gemini-3.5-flash and glm-5.3-flash have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, gemini-3.5-flash or glm-5.3-flash?
glm-5.3-flash is cheaper. gemini-3.5-flash costs $1.50/$9.00 per 1M input/output tokens, while glm-5.3-flash costs $0.07/$0.25. The prices shown are what you pay: glm-5.3-flash runs at 50% off its list rate of $0.15 per 1M input and $0.50 per 1M output until 9 Sep 2026.
Can I use gemini-3.5-flash and glm-5.3-flash through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "google/gemini-3.5-flash" and "zai/glm-5.3-flash", no other code changes needed.
What are the context windows?
gemini-3.5-flash supports up to 1.0M tokens of context. glm-5.3-flash supports up to 1M tokens. Longer context means you can feed larger documents or codebases in a single prompt, though quality often degrades past 128K for most models.

Switch between gemini-3.5-flash and glm-5.3-flash with one line of code

Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.