Requesty

deepseek-v4-flash vs gemini-3.5-flash

Side-by-side comparison of deepseek-v4-flash and gemini-3.5-flash: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gemini-3.5-flash outperforms deepseek-v4-flash on 7 of 7 shared benchmarks.

Benchmark comparison

Intelligence Indexreasoning
deepseek-v4-flash40.3%
gemini-3.5-flash50.2%
Coding Indexcoding
deepseek-v4-flash56.2%
gemini-3.5-flash70.1%
GPQA Diamondreasoning
deepseek-v4-flash89.4%
gemini-3.5-flash92.2%
Terminal-Bench Hardagentic
deepseek-v4-flash35.6%
gemini-3.5-flash40.9%
τ²-Benchagentic
deepseek-v4-flash95.0%
gemini-3.5-flash95.3%
SciCodecoding
deepseek-v4-flash44.9%
gemini-3.5-flash53.1%
Humanity's Last Examreasoning
deepseek-v4-flash32.1%
gemini-3.5-flash41.0%

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-flashgemini-3.5-flash
Input price / 1M$0.14$1.50
Output price / 1M$0.28$9.00
Context window1M tokens1.0M tokens
Max output384K tokens66K tokens
Vision inputN/AYes
Tool callingYesYes
ReasoningN/AYes
Prompt cachingYesYes
Computer useN/AN/A
ProviderDeepSeekGoogle LLC (Vertex AI)

Questions people ask

Is deepseek-v4-flash better than gemini-3.5-flash?
gemini-3.5-flash outperforms deepseek-v4-flash on 7 of 7 shared benchmarks. See the benchmark comparison above for specifics: deepseek-v4-flash and gemini-3.5-flash have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, deepseek-v4-flash or gemini-3.5-flash?
deepseek-v4-flash is cheaper. deepseek-v4-flash costs $0.14/$0.28 per 1M input/output tokens, while gemini-3.5-flash costs $1.50/$9.00.
Can I use deepseek-v4-flash and gemini-3.5-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" and "vertex/gemini-3.5-flash", no other code changes needed.
What are the context windows?
deepseek-v4-flash supports up to 1M tokens of context. gemini-3.5-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 and gemini-3.5-flash with one line of code

Requesty provides a single OpenAI-compatible API for 400+ models. Change the model parameter, not your code.