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deepseek-v4-flash vs deepseek-r1

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

Benchmark comparison

Intelligence Indexreasoning
deepseek-v4-flash46.5%
deepseek-r127.1%
Coding Indexcoding
deepseek-v4-flash38.7%
deepseek-r124.0%
Math Indexmath
deepseek-v4-flashN/A
deepseek-r176.0%
GPQA Diamondreasoning
deepseek-v4-flash89.4%
deepseek-r181.3%
AIME 2025math
deepseek-v4-flashN/A
deepseek-r176.0%
LiveCodeBenchcoding
deepseek-v4-flashN/A
deepseek-r177.0%
Terminal-Bench Hardagentic
deepseek-v4-flash35.6%
deepseek-r115.9%
τ²-Benchagentic
deepseek-v4-flash95.0%
deepseek-r136.5%
SciCodecoding
deepseek-v4-flash44.9%
deepseek-r140.3%
MMLU Proknowledge
deepseek-v4-flashN/A
deepseek-r184.9%
Humanity's Last Examreasoning
deepseek-v4-flash32.1%
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-flashdeepseek-r1
Input price / 1M$0.14$4.00
Output price / 1M$0.28$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-flash better than deepseek-r1?
deepseek-v4-flash outperforms deepseek-r1 on 7 of 7 shared benchmarks. See the benchmark comparison above for specifics: deepseek-v4-flash and deepseek-r1 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, deepseek-v4-flash or deepseek-r1?
deepseek-v4-flash is cheaper. deepseek-v4-flash costs $0.14/$0.28 per 1M input/output tokens, while deepseek-r1 costs $4.00/$4.00.
Can I use deepseek-v4-flash 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-flash" and "novita/deepseek/deepseek-r1", no other code changes needed.
What are the context windows?
deepseek-v4-flash 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-flash and deepseek-r1 with one line of code

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