Requesty

gemini-2.5-pro vs deepseek-v4-flash-0731

Side-by-side comparison of gemini-2.5-pro and deepseek-v4-flash-0731: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API.

Google Gemini API logo
Google Gemini API
gemini-2.5-pro
Input / 1M
$1.25
Output / 1M
$10.00
Context
1.0M
Model ID
google/gemini-2.5-pro
Novita AI logo
Novita AI
deepseek-v4-flash-0731
Input / 1M
$0.14
Output / 1M
$0.28
Context
1.0M
Model ID
novita/deepseek/deepseek-v4-flash-0731

Pricing & specifications

gemini-2.5-prodeepseek-v4-flash-0731
Input price / 1M$1.25$0.14
Output price / 1M$10.00$0.28
Context window1.0M tokens1.0M tokens
Max output66K tokens393K tokens
Vision inputYesN/A
Tool callingYesYes
ReasoningYesYes
Prompt cachingYesYes
Computer useN/AN/A
ProviderGoogle Gemini APINovita AI

Questions people ask

Is gemini-2.5-pro better than deepseek-v4-flash-0731?
Benchmark data is limited for one or both models. Compare pricing and capabilities in the tables above, and test both on your own workload.
Which is cheaper, gemini-2.5-pro or deepseek-v4-flash-0731?
deepseek-v4-flash-0731 is cheaper. gemini-2.5-pro costs $1.25/$10.00 per 1M input/output tokens, while deepseek-v4-flash-0731 costs $0.14/$0.28.
Can I use gemini-2.5-pro and deepseek-v4-flash-0731 through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "google/gemini-2.5-pro" and "novita/deepseek/deepseek-v4-flash-0731", no other code changes needed.
What are the context windows?
gemini-2.5-pro supports up to 1.0M tokens of context. deepseek-v4-flash-0731 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 gemini-2.5-pro and deepseek-v4-flash-0731 with one line of code

Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.