💰 Unit Cost Winner DeepSeek V3 $0.14/1M in · $0.28/1M out
⚡ Latency & Speed Winner DeepSeek V3 410ms TTFT · 78 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 V3 or Grok 4?

DeepSeek V3 is 94.4% cheaper for input tokens ($0.14 vs. $2.50 per 1M tokens) and $0.28 vs. $12.50 for output tokens (17.9x cost advantage). In terms of operational performance, DeepSeek V3 delivers lower response latency at 410ms TTFT (70ms faster than Grok 4) with 78 vs. 95 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 42.0% for DeepSeek V3 and 86.2% vs. 59.1% 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 V3 Grok 4 Net Delta / Advantage
Input Cost / 1M Tokens $0.14 $2.50 DeepSeek V3 is 17.9x cheaper
Output Cost / 1M Tokens $0.28 $12.50 DeepSeek V3 (97.8% lower)
Prompt Cache Read / 1M $0.014 $0.500 DeepSeek V3 is 35.7x cheaper
Prompt Cache Write / 1M $0.14 $2.50 DeepSeek V3 is 17.9x cheaper
Context Window (Max Output) 131k (8k out) 262k (66k out) Grok 4 (2.0x larger context)
Avg TTFT Response Latency 410ms 480ms DeepSeek V3 (70ms faster)
Generation Speed (Throughput) 78 tok/s 95 tok/s Grok 4 (+17 tok/s faster)
SWE-bench Verified (Coding) 42% 73.2% Grok 4 (+31.2% lead)
GPQA Diamond (PhD STEM) 59.1% 86.2% Grok 4 (+27.1% lead)
MMLU-Pro (Multi-Discipline) 75.9% 89.9% Grok 4 (+14.0% lead)
MATH-500 (Quantitative Logic) 90.2% 97.6% Grok 4 (+7.4% lead)
Inference Value Score (IVR) 75 / 100 57.6 / 100 DeepSeek V3 (+17.4 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 V3 $3.33

$0.14/1M in · $0.28/1M out

Prompt Cache: $0.014/1M read · $0.14/1M 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
$96.68 / mo
(96.7% lower cost with DeepSeek V3)
Open Full Matchup Analysis →
A

When to Choose DeepSeek V3

Choose DeepSeek V3 (DeepSeek) for cost-sensitive batch text processing, drafting, and open-weight self-hosted inference — offering a 131k context window, 410ms TTFT, and $0.14/1M input pricing ($0.014/1M 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 V3 or Grok 4?

DeepSeek V3 is cheaper at $0.14/1M input tokens ($0.28/1M 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 V3 or Grok 4?

DeepSeek V3 delivers faster first-token latency at 410ms TTFT (78 tok/s throughput) compared to 480ms TTFT (95 tok/s) for Grok 4.

How do DeepSeek V3 and Grok 4 compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, DeepSeek V3 scores 42% versus 73.2% for Grok 4. On GPQA Diamond graduate-level STEM reasoning, DeepSeek V3 scores 59.1% versus 86.2% for Grok 4 (and 90.2% vs 97.6% on MATH-500).

When should you choose DeepSeek V3?

Choose DeepSeek V3 (DeepSeek) for cost-sensitive batch text processing, drafting, and open-weight self-hosted inference — offering a 131k context window, 410ms TTFT, and $0.14/1M input pricing ($0.014/1M 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).

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