💰 Unit Cost Winner DeepSeek R1 $0.55/1M in · $2.19/1M out
⚡ Latency & Speed Winner Grok 4 480ms TTFT · 95 tok/s
💻 Coding (SWE) Winner Grok 4 73.2% SWE-bench · 95% HumanEval
🧠 STEM Reasoning Winner Grok 4 86.2% GPQA · 97.6% MATH-500

Which model is better: DeepSeek R1 or Grok 4?

DeepSeek R1 is 78.0% cheaper for input tokens ($0.55 vs. $2.50 per 1M tokens) and $2.19 vs. $12.50 for output tokens (4.5x cost advantage). In terms of operational performance, Grok 4 delivers lower response latency at 480ms TTFT (970ms faster than DeepSeek R1) with 95 vs. 58 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 49.2% for DeepSeek R1 and 86.2% vs. 71.5% on GPQA Diamond.
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 Grok 4 Net Delta / Advantage
Input Cost / 1M Tokens $0.55 $2.50 DeepSeek R1 is 4.5x cheaper
Output Cost / 1M Tokens $2.19 $12.50 DeepSeek R1 (82.5% lower)
Prompt Cache Read / 1M $0.140 $0.500 DeepSeek R1 is 3.6x cheaper
Prompt Cache Write / 1M $0.55 $2.50 DeepSeek R1 is 4.5x cheaper
Context Window (Max Output) 131k (33k out) 262k (66k out) Grok 4 (2.0x larger context)
Avg TTFT Response Latency 1450ms 480ms Grok 4 (970ms faster)
Generation Speed (Throughput) 58 tok/s 95 tok/s Grok 4 (+37 tok/s faster)
SWE-bench Verified (Coding) 49.2% 73.2% Grok 4 (+24.0% lead)
GPQA Diamond (PhD STEM) 71.5% 86.2% Grok 4 (+14.7% lead)
MMLU-Pro (Multi-Discipline) 84% 89.9% Grok 4 (+5.9% lead)
MATH-500 (Quantitative Logic) 97.3% 97.6% Grok 4 (+0.3% lead)
Inference Value Score (IVR) 64.8 / 100 57.6 / 100 DeepSeek R1 (+7.2 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

Grok 4 $100.00

$2.50/1M in · $12.50/1M out

Prompt Cache: $0.500/1M read · $2.50/1M write

Projected Monthly Cost Reduction
$80.43 / mo
(80.4% lower cost with DeepSeek R1)
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 Grok 4

Choose Grok 4 (xAI) for real-time financial/market intelligence, PhD-level STEM problem solving, and autonomous code generation — offering a 262k context window, 480ms TTFT, and $2.50/1M input pricing ($0.500/1M cached reads).

Related Questions & Decision Factors

Which is cheaper: DeepSeek R1 or Grok 4?

DeepSeek R1 is cheaper at $0.55/1M input tokens ($2.19/1M output) compared to $2.50/1M input ($12.50/1M output) for Grok 4.

Which model has lower TTFT latency and higher tok/s throughput: DeepSeek R1 or Grok 4?

Grok 4 delivers faster first-token latency at 480ms TTFT (95 tok/s throughput) compared to 1450ms TTFT (58 tok/s) for DeepSeek R1.

How do DeepSeek R1 and Grok 4 compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, DeepSeek R1 scores 49.2% versus 73.2% for Grok 4. On GPQA Diamond graduate-level STEM reasoning, DeepSeek R1 scores 71.5% versus 86.2% for Grok 4 (and 97.3% vs 97.6% 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 Grok 4?

Choose Grok 4 (xAI) for real-time financial/market intelligence, PhD-level STEM problem solving, and autonomous code generation — offering a 262k context window, 480ms TTFT, and $2.50/1M input pricing ($0.500/1M cached reads).

Explore High-Priority Related Model Matchups