Requesty

deepseek-v3.2 vs glm-5.3-flash

Side-by-side comparison of deepseek-v3.2 and glm-5.3-flash: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. glm-5.3-flash outperforms deepseek-v3.2 on 4 of 4 shared benchmarks.

Benchmark comparison

Intelligence Indexreasoning
deepseek-v3.221.5%
glm-5.3-flash41.8%
Coding Indexcoding
deepseek-v3.244.2%
glm-5.3-flash71.5%
Math Indexmath
deepseek-v3.292.0%
glm-5.3-flashN/A
GPQA Diamondreasoning
deepseek-v3.284.0%
glm-5.3-flash91.2%
AIME 2025math
deepseek-v3.292.0%
glm-5.3-flashN/A
LiveCodeBenchcoding
deepseek-v3.286.2%
glm-5.3-flashN/A
Terminal-Bench Hardagentic
deepseek-v3.235.6%
glm-5.3-flashN/A
τ²-Benchagentic
deepseek-v3.290.6%
glm-5.3-flashN/A
SciCodecoding
deepseek-v3.2N/A
glm-5.3-flash51.6%
MMLU Proknowledge
deepseek-v3.286.2%
glm-5.3-flashN/A
Humanity's Last Examreasoning
deepseek-v3.224.6%
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

deepseek-v3.2glm-5.3-flash
Input price / 1M$0.56$0.15
Output price / 1M$1.68$0.50
Context window164K tokens1M tokens
Max output66K tokens128K tokens
Vision inputN/AYes
Tool callingYesYes
ReasoningYesYes
Prompt cachingYesYes
Computer useN/AN/A
ProviderGoogle Vertex AIZ.ai

Questions people ask

Is deepseek-v3.2 better than glm-5.3-flash?
glm-5.3-flash outperforms deepseek-v3.2 on 4 of 4 shared benchmarks. See the benchmark comparison above for specifics: deepseek-v3.2 and glm-5.3-flash have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, deepseek-v3.2 or glm-5.3-flash?
glm-5.3-flash is cheaper. deepseek-v3.2 costs $0.56/$1.68 per 1M input/output tokens, while glm-5.3-flash costs $0.15/$0.50.
Can I use deepseek-v3.2 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 "vertex/deepseek-v3.2" and "zai/glm-5.3-flash", no other code changes needed.
What are the context windows?
deepseek-v3.2 supports up to 164K 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 deepseek-v3.2 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.