deepseek-v4-flash-0731 vs glm-5.3-flash
Side-by-side comparison of deepseek-v4-flash-0731 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-v4-flash-0731 on 5 of 5 shared benchmarks.
Fireworks AI
deepseek-v4-flash-0731
Input / 1M
$0.22
Output / 1M
$0.66
Context
1M
Model ID
fireworks/deepseek-v4-flash-0731
glm-5.3-flash
Input / 1M
$0.15
Output / 1M
$0.50
Context
1M
Model ID
zai/glm-5.3-flash
Benchmark comparison
Intelligence Indexreasoning
deepseek-v4-flash-073134.5%
glm-5.3-flash41.9%
Coding Indexcoding
deepseek-v4-flash-073169.1%
glm-5.3-flash71.5%
GPQA Diamondreasoning
deepseek-v4-flash-073190.8%
glm-5.3-flash91.2%
SciCodecoding
deepseek-v4-flash-073150.3%
glm-5.3-flash51.6%
Humanity's Last Examreasoning
deepseek-v4-flash-073138.6%
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-v4-flash-0731 | glm-5.3-flash | |
|---|---|---|
| Input price / 1M | $0.22 | $0.15 |
| Output price / 1M | $0.66 | $0.50 |
| Context window | 1M tokens | 1M tokens |
| Max output | 131K tokens | 128K tokens |
| Vision input | N/A | Yes |
| Tool calling | Yes | Yes |
| Reasoning | Yes | Yes |
| Prompt caching | Yes | Yes |
| Computer use | N/A | N/A |
| Provider | Fireworks AI | Z.ai |
Questions people ask
Is deepseek-v4-flash-0731 better than glm-5.3-flash?
glm-5.3-flash outperforms deepseek-v4-flash-0731 on 5 of 5 shared benchmarks. See the benchmark comparison above for specifics: deepseek-v4-flash-0731 and glm-5.3-flash have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, deepseek-v4-flash-0731 or glm-5.3-flash?
glm-5.3-flash is cheaper. deepseek-v4-flash-0731 costs $0.22/$0.66 per 1M input/output tokens, while glm-5.3-flash costs $0.15/$0.50.
Can I use deepseek-v4-flash-0731 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 "fireworks/deepseek-v4-flash-0731" and "zai/glm-5.3-flash", no other code changes needed.
What are the context windows?
deepseek-v4-flash-0731 supports up to 1M 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-v4-flash-0731 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.