💰 Unit Cost Winner DeepSeek V4 Flash Vision (Exp) $0.22/1M in · $0.65/1M out
⚡ Latency & Speed Winner DeepSeek V4 Flash Vision (Exp) 310ms TTFT · 165 tok/s
💻 Coding (SWE) Winner DeepSeek V4 Flash Vision (Exp) 77.4% SWE-bench · 94.5% HumanEval
🧠 STEM Reasoning Winner DeepSeek V4 Flash Vision (Exp) 91.3% GPQA · 96.4% MATH-500

Which model is better: DeepSeek R1 or DeepSeek V4 Flash Vision (Exp)?

DeepSeek V4 Flash Vision (Exp) outperforms DeepSeek R1 across capability, speed, and cost. V4 cuts input pricing by 60.0% ($0.22 vs. $0.55) and output to $0.65 vs. $2.19 per 1M tokens. It leads SWE-bench Verified (77.4% vs. 49.2%) and GPQA Diamond (91.3% vs. 71.5%), achieving 310ms TTFT (1140ms faster) at 165 vs. 58 tok/s.
Verified daily via automated API latency tests and official documentation.

Verified Performance & Unit Economics Delta (12 Dimensions)

Daily synchronized metrics across token pricing, prompt cache economics, latency, throughput, and 5 capability benchmarks.

Metric / Dimension DeepSeek R1 DeepSeek V4 Flash Vision (Exp) Net Delta / Advantage
Input Cost / 1M Tokens $0.55 $0.22 DeepSeek V4 Flash Vision (Exp) is 2.5x cheaper
Output Cost / 1M Tokens $2.19 $0.65 DeepSeek V4 Flash Vision (Exp) (70.3% lower)
Prompt Cache Read / 1M $0.140 $0.007 DeepSeek V4 Flash Vision (Exp) is 20.3x cheaper
Prompt Cache Write / 1M $0.55 $0.22 DeepSeek V4 Flash Vision (Exp) is 2.5x cheaper
Context Window (Max Output) 131k (33k out) 1,049k (128k out) DeepSeek V4 Flash Vision (Exp) (8.0x larger context)
Avg TTFT Response Latency 1450ms 310ms DeepSeek V4 Flash Vision (Exp) (1140ms faster)
Generation Speed (Throughput) 58 tok/s 165 tok/s DeepSeek V4 Flash Vision (Exp) (+107 tok/s faster)
SWE-bench Verified (Coding) 49.2% 77.4% DeepSeek V4 Flash Vision (Exp) (+28.2% lead)
GPQA Diamond (PhD STEM) 71.5% 91.3% DeepSeek V4 Flash Vision (Exp) (+19.8% lead)
MMLU-Pro (Multi-Discipline) 84% 87.3% DeepSeek V4 Flash Vision (Exp) (+3.3% lead)
MATH-500 (Quantitative Logic) 97.3% 96.4% DeepSeek R1 (+0.9% lead)
Inference Value Score (IVR) 64.8 / 100 81.6 / 100 DeepSeek V4 Flash Vision (Exp) (+16.8 pts)

Interactive Monthly Token Economics & ROI Forecaster

Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.

25.0M Tokens
500K 50M 250M 500M+
5.0M Tokens
100K 25M 75M 150M+
50% Cached
0% (Uncached) 25% 50% (Typical Agent) 95% Max

Estimated Monthly Spend

DeepSeek R1 $19.58

$0.55/1M in · $2.19/1M out

Prompt Cache: $0.140/1M read · $0.55/1M write

DeepSeek V4 Flash Vision (Exp) $6.09

$0.22/1M in · $0.65/1M out

Prompt Cache: $0.007/1M read · $0.22/1M write

Projected Monthly Cost Reduction
$13.49 / mo
(68.9% lower cost with DeepSeek V4 Flash Vision (Exp))
Open Full Matchup Analysis →
A

When to Choose DeepSeek R1

Choose DeepSeek R1 (DeepSeek) for open-weight chain-of-thought reasoning, synthetic data distillation, and complex mathematical verification — offering a 131k context window, 1450ms TTFT, and $0.55/1M input pricing ($0.140/1M cached reads).

B

When to Choose DeepSeek V4 Flash Vision (Exp)

Choose DeepSeek V4 Flash Vision (Exp) (DeepSeek) for ultra-low-cost open-weight multimodal MoE built for high-throughput visual document OCR, chart interpretation, and real-time autonomous coding agents — offering a 1,048k context window, 310ms TTFT, and $0.22/1M input pricing ($0.007/1M cached reads).

Related Questions & Decision Factors

Which is cheaper: DeepSeek R1 or DeepSeek V4 Flash Vision (Exp)?

DeepSeek V4 Flash Vision (Exp) is cheaper at $0.22/1M input tokens ($0.65/1M output) compared to $0.55/1M input ($2.19/1M output) for DeepSeek R1.

Which model has lower TTFT latency and higher tok/s throughput: DeepSeek R1 or DeepSeek V4 Flash Vision (Exp)?

DeepSeek V4 Flash Vision (Exp) delivers faster first-token latency at 310ms TTFT (165 tok/s throughput) compared to 1450ms TTFT (58 tok/s) for DeepSeek R1.

How do DeepSeek R1 and DeepSeek V4 Flash Vision (Exp) compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, DeepSeek R1 scores 49.2% versus 77.4% for DeepSeek V4 Flash Vision (Exp). On GPQA Diamond graduate-level STEM reasoning, DeepSeek R1 scores 71.5% versus 91.3% for DeepSeek V4 Flash Vision (Exp) (and 97.3% vs 96.4% on MATH-500).

When should you choose DeepSeek R1?

Choose DeepSeek R1 (DeepSeek) for open-weight chain-of-thought reasoning, synthetic data distillation, and complex mathematical verification — offering a 131k context window, 1450ms TTFT, and $0.55/1M input pricing ($0.140/1M cached reads).

When should you choose DeepSeek V4 Flash Vision (Exp)?

Choose DeepSeek V4 Flash Vision (Exp) (DeepSeek) for ultra-low-cost open-weight multimodal MoE built for high-throughput visual document OCR, chart interpretation, and real-time autonomous coding agents — offering a 1,048k context window, 310ms TTFT, and $0.22/1M input pricing ($0.007/1M cached reads).

Explore High-Priority Related Model Matchups