gemini-3.5-flash vs glm-5.2
Side-by-side comparison of gemini-3.5-flash and glm-5.2: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gemini-3.5-flash outperforms glm-5.2 on 4 of 7 shared benchmarks.
gemini-3.5-flash
Input / 1M
$1.50
Output / 1M
$9.00
Context
1.0M
Model ID
vertex/gemini-3.5-flash
glm-5.2
Input / 1M
$1.40
Output / 1M
$4.40
Context
1M
Model ID
zai/glm-5.2
Benchmark comparison
Intelligence Indexreasoning
gemini-3.5-flash50.2%
glm-5.251.1%
Coding Indexcoding
gemini-3.5-flash70.1%
glm-5.268.8%
GPQA Diamondreasoning
gemini-3.5-flash92.2%
glm-5.289.5%
Terminal-Bench Hardagentic
gemini-3.5-flash40.9%
glm-5.250.8%
τ²-Benchagentic
gemini-3.5-flash95.3%
glm-5.299.1%
SciCodecoding
gemini-3.5-flash53.1%
glm-5.250.5%
Humanity's Last Examreasoning
gemini-3.5-flash41.0%
glm-5.240.1%
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-flash | glm-5.2 | |
|---|---|---|
| Input price / 1M | $1.50 | $1.40 |
| Output price / 1M | $9.00 | $4.40 |
| Context window | 1.0M tokens | 1M tokens |
| Max output | 66K tokens | 128K tokens |
| Vision input | Yes | Yes |
| Tool calling | Yes | Yes |
| Reasoning | Yes | Yes |
| Prompt caching | Yes | Yes |
| Computer use | N/A | N/A |
| Provider | Google LLC (Vertex AI) | Z.ai |
Questions people ask
Is gemini-3.5-flash better than glm-5.2?
gemini-3.5-flash outperforms glm-5.2 on 4 of 7 shared benchmarks. See the benchmark comparison above for specifics: gemini-3.5-flash and glm-5.2 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, gemini-3.5-flash or glm-5.2?
glm-5.2 is cheaper. gemini-3.5-flash costs $1.50/$9.00 per 1M input/output tokens, while glm-5.2 costs $1.40/$4.40.
Can I use gemini-3.5-flash and glm-5.2 through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "vertex/gemini-3.5-flash" and "zai/glm-5.2", no other code changes needed.
What are the context windows?
gemini-3.5-flash supports up to 1.0M tokens of context. glm-5.2 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-5.2 with one line of code
Requesty provides a single OpenAI-compatible API for 400+ models. Change the model parameter, not your code.