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deepseek-v4-pro-0813 vs gemini-3.1-pro-preview

Side-by-side comparison of deepseek-v4-pro-0813 and gemini-3.1-pro-preview: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gemini-3.1-pro-preview outperforms deepseek-v4-pro-0813 on 3 of 4 shared benchmarks.

Benchmark comparison

Intelligence Indexreasoning
deepseek-v4-pro-081342.1%
gemini-3.1-pro-preview36.7%
Coding Indexcoding
deepseek-v4-pro-081368.8%
gemini-3.1-pro-preview68.8%
GPQA Diamondreasoning
deepseek-v4-pro-081392.8%
gemini-3.1-pro-preview94.1%
Terminal-Bench Hardagentic
deepseek-v4-pro-0813N/A
gemini-3.1-pro-preview53.8%
τ²-Benchagentic
deepseek-v4-pro-0813N/A
gemini-3.1-pro-preview95.6%
SciCodecoding
deepseek-v4-pro-081351.0%
gemini-3.1-pro-preview58.7%
Humanity's Last Examreasoning
deepseek-v4-pro-081341.0%
gemini-3.1-pro-preview47.0%

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-pro-0813gemini-3.1-pro-preview
Input price / 1M$1.32$2.00
Output price / 1M$3.96$12.00
Context window1M tokens1.0M tokens
Max output384K tokens66K tokens
Vision inputN/AYes
Tool callingYesYes
ReasoningYesYes
Prompt cachingYesYes
Computer useN/AN/A
ProviderDeepSeekGoogle LLC (Gemini API)

Questions people ask

Is deepseek-v4-pro-0813 better than gemini-3.1-pro-preview?
gemini-3.1-pro-preview outperforms deepseek-v4-pro-0813 on 3 of 4 shared benchmarks. See the benchmark comparison above for specifics: deepseek-v4-pro-0813 and gemini-3.1-pro-preview have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, deepseek-v4-pro-0813 or gemini-3.1-pro-preview?
deepseek-v4-pro-0813 is cheaper. deepseek-v4-pro-0813 costs $1.32/$3.96 per 1M input/output tokens, while gemini-3.1-pro-preview costs $2.00/$12.00.
Can I use deepseek-v4-pro-0813 and gemini-3.1-pro-preview 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-pro-0813" and "google/gemini-3.1-pro-preview", no other code changes needed.
What are the context windows?
deepseek-v4-pro-0813 supports up to 1M tokens of context. gemini-3.1-pro-preview 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-pro-0813 and gemini-3.1-pro-preview with one line of code

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