gemini-3.7-flash vs glm-5.1
Side-by-side comparison of gemini-3.7-flash and glm-5.1: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gemini-3.7-flash outperforms glm-5.1 on 4 of 4 shared benchmarks.
gemini-3.7-flash
Input / 1M
$1.50$0.75
Output / 1M
$7.50$3.75
Context
1.0M
Model ID
vertex/gemini-3.7-flash
glm-5.1
Input / 1M
$1.40
Output / 1M
$4.40
Context
200K
Model ID
zai/glm-5.1
Benchmark comparison
Intelligence Indexreasoning
gemini-3.7-flash45.2%
glm-5.131.9%
Coding Indexcoding
gemini-3.7-flash76.1%
glm-5.155.8%
GPQA Diamondreasoning
gemini-3.7-flash94.5%
glm-5.186.8%
Terminal-Bench Hardagentic
gemini-3.7-flashN/A
glm-5.143.2%
τ²-Benchagentic
gemini-3.7-flashN/A
glm-5.197.7%
SciCodecoding
gemini-3.7-flash57.2%
glm-5.1N/A
Humanity's Last Examreasoning
gemini-3.7-flash47.9%
glm-5.130.1%
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-3.7-flash | glm-5.1 | |
|---|---|---|
| Input price / 1M | $1.50$0.75 | $1.40 |
| Output price / 1M | $7.50$3.75 | $4.40 |
| Context window | 1.0M tokens | 200K tokens |
| Max output | 66K tokens | 128K tokens |
| Vision input | Yes | N/A |
| 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-3.7-flash better than glm-5.1?
gemini-3.7-flash outperforms glm-5.1 on 4 of 4 shared benchmarks. See the benchmark comparison above for specifics: gemini-3.7-flash and glm-5.1 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, gemini-3.7-flash or glm-5.1?
gemini-3.7-flash is cheaper. gemini-3.7-flash costs $0.75/$3.75 per 1M input/output tokens, while glm-5.1 costs $1.40/$4.40. The prices shown are what you pay: gemini-3.7-flash runs at 50% off its list rate of $1.50 per 1M input and $7.50 per 1M output.
Can I use gemini-3.7-flash and glm-5.1 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-3.7-flash" and "zai/glm-5.1", no other code changes needed.
What are the context windows?
gemini-3.7-flash supports up to 1.0M tokens of context. glm-5.1 supports up to 200K 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-3.7-flash and glm-5.1 with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.