deepseek-r1 vs deepseek-v4-flash

Side-by-side comparison of deepseek-r1 and deepseek-v4-flash: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. deepseek-v4-flash outperforms deepseek-r1 on 4 of 4 shared benchmarks.

Benchmark comparison

Intelligence Indexreasoning
deepseek-r120.4%
deepseek-v4-flash51.8%
Coding Indexcoding
deepseek-r1N/A
deepseek-v4-flash69.1%
Math Indexmath
deepseek-r176.0%
deepseek-v4-flashN/A
GPQA Diamondreasoning
deepseek-r181.3%
deepseek-v4-flash90.8%
AIME 2025math
deepseek-r176.0%
deepseek-v4-flashN/A
LiveCodeBenchcoding
deepseek-r177.0%
deepseek-v4-flashN/A
Terminal-Bench Hardagentic
deepseek-r115.9%
deepseek-v4-flashN/A
τ²-Benchagentic
deepseek-r136.5%
deepseek-v4-flashN/A
SciCodecoding
deepseek-r140.3%
deepseek-v4-flash49.9%
MMLU Proknowledge
deepseek-r184.9%
deepseek-v4-flashN/A
Humanity's Last Examreasoning
deepseek-r115.8%
deepseek-v4-flash38.6%

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-v4-flash
Input price / 1M$4.00$0.14
Output price / 1M$4.00$0.28
Context window64K tokens1.0M tokens
Max outputN/AN/A
Vision inputN/AN/A
Tool callingYesYes
ReasoningN/AYes
Prompt cachingN/AN/A
Computer useN/AN/A
ProviderNovita AINovita AI

Questions people ask

Is deepseek-r1 better than deepseek-v4-flash?
deepseek-v4-flash outperforms deepseek-r1 on 4 of 4 shared benchmarks. See the benchmark comparison above for specifics: deepseek-r1 and deepseek-v4-flash have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, deepseek-r1 or deepseek-v4-flash?
deepseek-v4-flash is cheaper. deepseek-r1 costs $4.00/$4.00 per 1M input/output tokens, while deepseek-v4-flash costs $0.14/$0.28.
Can I use deepseek-r1 and deepseek-v4-flash 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 "novita/deepseek/deepseek-v4-flash", no other code changes needed.
What are the context windows?
deepseek-r1 supports up to 64K tokens of context. deepseek-v4-flash 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-r1 and deepseek-v4-flash with one line of code

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