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gemini-2.5-flash vs glm-5.2

Side-by-side comparison of gemini-2.5-flash and glm-5.2: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. glm-5.2 outperforms gemini-2.5-flash on 6 of 6 shared benchmarks.

Benchmark comparison

Intelligence Indexreasoning
gemini-2.5-flash20.1%
glm-5.251.1%
Coding Indexcoding
gemini-2.5-flashN/A
glm-5.268.8%
Math Indexmath
gemini-2.5-flash73.3%
glm-5.2N/A
GPQA Diamondreasoning
gemini-2.5-flash79.0%
glm-5.289.5%
AIME 2025math
gemini-2.5-flash73.3%
glm-5.2N/A
LiveCodeBenchcoding
gemini-2.5-flash69.5%
glm-5.2N/A
Terminal-Bench Hardagentic
gemini-2.5-flash13.6%
glm-5.250.8%
τ²-Benchagentic
gemini-2.5-flash31.6%
glm-5.299.1%
SciCodecoding
gemini-2.5-flash39.4%
glm-5.250.5%
MMLU Proknowledge
gemini-2.5-flash83.2%
glm-5.2N/A
Humanity's Last Examreasoning
gemini-2.5-flash11.1%
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-2.5-flashglm-5.2
Input price / 1M$0.30$1.40
Output price / 1M$2.50$4.40
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-2.5-flash better than glm-5.2?
glm-5.2 outperforms gemini-2.5-flash on 6 of 6 shared benchmarks. See the benchmark comparison above for specifics: gemini-2.5-flash and glm-5.2 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, gemini-2.5-flash or glm-5.2?
gemini-2.5-flash is cheaper. gemini-2.5-flash costs $0.30/$2.50 per 1M input/output tokens, while glm-5.2 costs $1.40/$4.40.
Can I use gemini-2.5-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 "google/gemini-2.5-flash" and "zai/glm-5.2", no other code changes needed.
What are the context windows?
gemini-2.5-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-2.5-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.