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DeepSeek R1 vs DeepSeek V4.1 Flash

Detailed technical comparison between DeepSeek R1 (DeepSeek) and DeepSeek V4.1 Flash (DeepSeek). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚡ Executive Summary & Verdict

Comparison Snapshot

DeepSeek R1: 6 WinsvsDeepSeek V4.1 Flash: 0 Wins
Context Leader

DeepSeek V4.1 Flash

1,048,576 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

DeepSeek V4.1 Flash

$0.15 / MTok
DeepSeekactive

DeepSeek R1

DeepSeek R1 is an advanced artificial intelligence model engineered by DeepSeek. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, DeepSeek R1 represents a key architectural iteration in the DeepSeek model family. First released in 2025-01-20, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 163,840 tokens (approximately 218 words), DeepSeek R1 processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View DeepSeek R1 Full Specs →
DeepSeekactive

DeepSeek V4.1 Flash

DeepSeek V4.1 Flash is an advanced artificial intelligence model engineered by DeepSeek. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, DeepSeek V4.1 Flash represents a key architectural iteration in the DeepSeek model family. First released in 2026-09-10, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,048,576 tokens (approximately 1,398 words), DeepSeek V4.1 Flash processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View DeepSeek V4.1 Flash Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationDeepSeek R1DeepSeek V4.1 Flash
ProviderDeepSeekDeepSeek
Context Window163,840 tokens1,048,576 tokens🏆
Agent Suitability78/100 (est.)Not yet benchmarked
Time to First Token (TTFT)1800 ms (est.)No public TTFT data
Deployment Modelmanaged apiself hostable
Production StabilityStable GA (est.)Beta Access (est.)
API AvailableYesYes
Released Date2025-01-202026-09-10

API Pricing Comparison

Input Price per Million Tokens

DeepSeek R1

$0.70

DeepSeek V4.1 Flash

$0.15

Output Price per Million Tokens

DeepSeek R1

$2.50

DeepSeek V4.1 Flash

$0.60

💡 Cost Ratio: DeepSeek V4.1 Flash is 4.7x cheaper per input token than DeepSeek R1.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0–100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
90.8%vs72.8%+18.0% DeepSeek R1
DeepSeek R1 🏆
DeepSeek V4.1 Flash
HumanEvalPython coding & logic synthesis
92.8%vs69.0%+23.8% DeepSeek R1
DeepSeek R1 🏆
DeepSeek V4.1 Flash
MATHComplex mathematical problem solving
93.1%vs42.2%+50.9% DeepSeek R1
DeepSeek R1 🏆
DeepSeek V4.1 Flash
GPQAGraduate-level expert reasoning
62.1%vs29.6%+32.5% DeepSeek R1
DeepSeek R1 🏆
DeepSeek V4.1 Flash
HellaSwagCommonsense reasoning and inference
90.5%vs76.8%+13.7% DeepSeek R1
DeepSeek R1 🏆
DeepSeek V4.1 Flash
MT-BenchMulti-turn conversation flow quality
9.3%vs7.9%+1.4% DeepSeek R1
DeepSeek R1 🏆
DeepSeek V4.1 Flash

DeepSeek R1 Quirks & Gotchas

  • Reasoning model — not designed for high-frequency tool calling
  • Pair with a smaller model (V4 Flash) for routing and use R1 for complex reasoning only

DeepSeek V4.1 Flash Quirks & Gotchas

No developer gotchas reported.

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