deepseek-v4-flash vs glm-5.1
Side-by-side comparison of deepseek-v4-flash and glm-5.1: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. deepseek-v4-flash outperforms glm-5.1 on 5 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-5.1
Input / 1M
$1.40
Output / 1M
$4.40
Context
200K
Model ID
zai/glm-5.1
Benchmark comparison
Intelligence Indexreasoning
deepseek-v4-flash51.8%
glm-5.141.0%
Coding Indexcoding
deepseek-v4-flash69.1%
glm-5.155.8%
GPQA Diamondreasoning
deepseek-v4-flash90.8%
glm-5.186.8%
Terminal-Bench Hardagentic
deepseek-v4-flashN/A
glm-5.143.2%
τ²-Benchagentic
deepseek-v4-flashN/A
glm-5.197.7%
SciCodecoding
deepseek-v4-flash49.9%
glm-5.143.8%
Humanity's Last Examreasoning
deepseek-v4-flash38.6%
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
| deepseek-v4-flash | glm-5.1 | |
|---|---|---|
| Input price / 1M | $0.14 | $1.40 |
| Output price / 1M | $0.28 | $4.40 |
| Context window | 1.0M tokens | 200K 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-5.1?
deepseek-v4-flash outperforms glm-5.1 on 5 of 5 shared benchmarks. See the benchmark comparison above for specifics: deepseek-v4-flash and glm-5.1 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, deepseek-v4-flash or glm-5.1?
deepseek-v4-flash is cheaper. deepseek-v4-flash costs $0.14/$0.28 per 1M input/output tokens, while glm-5.1 costs $1.40/$4.40.
Can I use deepseek-v4-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 "novita/deepseek/deepseek-v4-flash" and "zai/glm-5.1", no other code changes needed.
What are the context windows?
deepseek-v4-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 deepseek-v4-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.