Requesty

deepseek-r1 vs deepseek-v3.2

Side-by-side comparison of deepseek-r1 and deepseek-v3.2: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. deepseek-v3.2 outperforms deepseek-r1 on 9 of 9 shared benchmarks.

Benchmark comparison

Intelligence Indexreasoning
deepseek-r113.9%
deepseek-v3.225.3%
Coding Indexcoding
deepseek-r1N/A
deepseek-v3.244.2%
Math Indexmath
deepseek-r176.0%
deepseek-v3.292.0%
GPQA Diamondreasoning
deepseek-r181.3%
deepseek-v3.284.0%
AIME 2025math
deepseek-r176.0%
deepseek-v3.292.0%
LiveCodeBenchcoding
deepseek-r177.0%
deepseek-v3.286.2%
Terminal-Bench Hardagentic
deepseek-r115.9%
deepseek-v3.235.6%
τ²-Benchagentic
deepseek-r136.5%
deepseek-v3.290.6%
MMLU Proknowledge
deepseek-r184.9%
deepseek-v3.286.2%
Humanity's Last Examreasoning
deepseek-r115.8%
deepseek-v3.224.6%

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-r1deepseek-v3.2
Input price / 1M$4.00$0.56
Output price / 1M$4.00$1.68
Context window64K tokens164K tokens
Max outputN/A66K tokens
Vision inputN/AN/A
Tool callingYesYes
ReasoningN/AYes
Prompt cachingN/AYes
Computer useN/AN/A
ProviderNovita AIGoogle LLC (Vertex AI)

Questions people ask

Is deepseek-r1 better than deepseek-v3.2?
deepseek-v3.2 outperforms deepseek-r1 on 9 of 9 shared benchmarks. See the benchmark comparison above for specifics: deepseek-r1 and deepseek-v3.2 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, deepseek-r1 or deepseek-v3.2?
deepseek-v3.2 is cheaper. deepseek-r1 costs $4.00/$4.00 per 1M input/output tokens, while deepseek-v3.2 costs $0.56/$1.68.
Can I use deepseek-r1 and deepseek-v3.2 through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "novita/deepseek/deepseek-r1" and "vertex/deepseek-v3.2", no other code changes needed.
What are the context windows?
deepseek-r1 supports up to 64K tokens of context. deepseek-v3.2 supports up to 164K 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-r1 and deepseek-v3.2 with one line of code

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