deepseek-v4-flash-0731 vs gemini-3.6-flash
Side-by-side comparison of deepseek-v4-flash-0731 and gemini-3.6-flash: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gemini-3.6-flash outperforms deepseek-v4-flash-0731 on 4 of 5 shared benchmarks.
deepseek-v4-flash-0731
Input / 1M
$0.44
Output / 1M
$1.32
Context
1M
Model ID
deepseek/deepseek-v4-flash-0731
gemini-3.6-flash
Input / 1M
$1.50
Output / 1M
$7.00
Context
1.0M
Model ID
google/gemini-3.6-flash
Benchmark comparison
Intelligence Indexreasoning
deepseek-v4-flash-073140.8%
gemini-3.6-flash40.3%
Coding Indexcoding
deepseek-v4-flash-073169.1%
gemini-3.6-flash69.2%
GPQA Diamondreasoning
deepseek-v4-flash-073190.8%
gemini-3.6-flash92.8%
SciCodecoding
deepseek-v4-flash-073150.3%
gemini-3.6-flash53.4%
Humanity's Last Examreasoning
deepseek-v4-flash-073138.6%
gemini-3.6-flash40.8%
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 | gemini-3.6-flash | |
|---|---|---|
| Input price / 1M | $0.44 | $1.50 |
| Output price / 1M | $1.32 | $7.00 |
| Context window | 1M tokens | 1.0M tokens |
| Max output | 384K tokens | 66K tokens |
| Vision input | N/A | Yes |
| Tool calling | Yes | Yes |
| Reasoning | N/A | Yes |
| Prompt caching | Yes | Yes |
| Computer use | N/A | N/A |
| Provider | DeepSeek | Google LLC (Gemini API) |
Questions people ask
Is deepseek-v4-flash-0731 better than gemini-3.6-flash?
gemini-3.6-flash outperforms deepseek-v4-flash-0731 on 4 of 5 shared benchmarks. See the benchmark comparison above for specifics: deepseek-v4-flash-0731 and gemini-3.6-flash have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, deepseek-v4-flash-0731 or gemini-3.6-flash?
deepseek-v4-flash-0731 is cheaper. deepseek-v4-flash-0731 costs $0.44/$1.32 per 1M input/output tokens, while gemini-3.6-flash costs $1.50/$7.00.
Can I use deepseek-v4-flash-0731 and gemini-3.6-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 "deepseek/deepseek-v4-flash-0731" and "google/gemini-3.6-flash", no other code changes needed.
What are the context windows?
deepseek-v4-flash-0731 supports up to 1M tokens of context. gemini-3.6-flash supports up to 1.0M 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 gemini-3.6-flash with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.