deepseek-v4-flash vs glm-5.2
Side-by-side comparison of deepseek-v4-flash and glm-5.2: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. glm-5.2 outperforms deepseek-v4-flash on 3 of 5 shared benchmarks.
deepseek-v4-flash
Input / 1M
$0.14
Output / 1M
$0.28
Context
1.0M
Model ID
novita/deepseek/deepseek-v4-flash
glm-5.2
Input / 1M
$1.40
Output / 1M
$4.40
Context
1M
Model ID
zai/glm-5.2
Benchmark comparison
Intelligence Indexreasoning
deepseek-v4-flash51.8%
glm-5.252.6%
Coding Indexcoding
deepseek-v4-flash69.1%
glm-5.268.8%
GPQA Diamondreasoning
deepseek-v4-flash90.8%
glm-5.289.5%
Terminal-Bench Hardagentic
deepseek-v4-flashN/A
glm-5.250.8%
τ²-Benchagentic
deepseek-v4-flashN/A
glm-5.299.1%
SciCodecoding
deepseek-v4-flash49.9%
glm-5.250.5%
Humanity's Last Examreasoning
deepseek-v4-flash38.6%
glm-5.241.1%
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
| deepseek-v4-flash | glm-5.2 | |
|---|---|---|
| Input price / 1M | $0.14 | $1.40 |
| Output price / 1M | $0.28 | $4.40 |
| Context window | 1.0M tokens | 1M tokens |
| Max output | N/A | 128K tokens |
| Vision input | N/A | Yes |
| Tool calling | Yes | Yes |
| Reasoning | Yes | Yes |
| Prompt caching | N/A | Yes |
| Computer use | N/A | N/A |
| Provider | Novita AI | Z.ai |
Questions people ask
Is deepseek-v4-flash better than glm-5.2?
glm-5.2 outperforms deepseek-v4-flash on 3 of 5 shared benchmarks. See the benchmark comparison above for specifics: deepseek-v4-flash and glm-5.2 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, deepseek-v4-flash or glm-5.2?
deepseek-v4-flash is cheaper. deepseek-v4-flash costs $0.14/$0.28 per 1M input/output tokens, while glm-5.2 costs $1.40/$4.40.
Can I use deepseek-v4-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 "novita/deepseek/deepseek-v4-flash" and "zai/glm-5.2", no other code changes needed.
What are the context windows?
deepseek-v4-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 deepseek-v4-flash and glm-5.2 with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.