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deepseek-v4-pro vs deepseek-r1

Side-by-side comparison of deepseek-v4-pro and deepseek-r1: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. deepseek-v4-pro outperforms deepseek-r1 on 7 of 7 shared benchmarks.

Benchmark comparison

Intelligence Indexreasoning
deepseek-v4-pro51.5%
deepseek-r127.1%
Coding Indexcoding
deepseek-v4-pro47.5%
deepseek-r124.0%
Math Indexmath
deepseek-v4-proN/A
deepseek-r176.0%
GPQA Diamondreasoning
deepseek-v4-pro88.8%
deepseek-r181.3%
AIME 2025math
deepseek-v4-proN/A
deepseek-r176.0%
LiveCodeBenchcoding
deepseek-v4-proN/A
deepseek-r177.0%
Terminal-Bench Hardagentic
deepseek-v4-pro46.2%
deepseek-r115.9%
τ²-Benchagentic
deepseek-v4-pro96.2%
deepseek-r136.5%
SciCodecoding
deepseek-v4-pro50.0%
deepseek-r140.3%
MMLU Proknowledge
deepseek-v4-proN/A
deepseek-r184.9%
Humanity's Last Examreasoning
deepseek-v4-pro35.9%
deepseek-r114.9%

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-prodeepseek-r1
Input price / 1M$0.43$4.00
Output price / 1M$0.87$4.00
Context window1M tokens64K tokens
Max output384K tokensN/A
Vision inputN/AN/A
Tool callingYesYes
ReasoningN/AN/A
Prompt cachingYesN/A
Computer useN/AN/A
ProviderDeepSeekNovita AI

Questions people ask

Is deepseek-v4-pro better than deepseek-r1?
deepseek-v4-pro outperforms deepseek-r1 on 7 of 7 shared benchmarks. See the benchmark comparison above for specifics: deepseek-v4-pro and deepseek-r1 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, deepseek-v4-pro or deepseek-r1?
deepseek-v4-pro is cheaper. deepseek-v4-pro costs $0.43/$0.87 per 1M input/output tokens, while deepseek-r1 costs $4.00/$4.00.
Can I use deepseek-v4-pro and deepseek-r1 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" and "novita/deepseek/deepseek-r1", no other code changes needed.
What are the context windows?
deepseek-v4-pro supports up to 1M tokens of context. deepseek-r1 supports up to 64K 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 and deepseek-r1 with one line of code

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

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