💰 Unit Cost Winner DeepSeek V3 $0.14/1M in · $0.28/1M out
⚡ Latency & Speed Winner Grok 3 Mini 150ms TTFT · 160 tok/s
💻 Coding (SWE) Winner Grok 3 Mini 54% SWE-bench · 90% HumanEval
🧠 STEM Reasoning Winner Grok 3 Mini 68% GPQA · 87% MATH-500

Which model is better: DeepSeek V3 or Grok 3 Mini?

DeepSeek V3 is 53.3% cheaper for input tokens ($0.14 vs. $0.30 per 1M tokens) and $0.28 vs. $1.20 for output tokens (2.1x cost advantage). In terms of operational performance, Grok 3 Mini delivers lower response latency at 150ms TTFT (260ms faster than DeepSeek V3) with 160 vs. 78 tok/s throughput. Grok 3 Mini leads coding evaluations at 54.0% SWE-bench Verified vs. 42.0% for DeepSeek V3 and 68.0% 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 3 Mini Net Delta / Advantage
Input Cost / 1M Tokens $0.14 $0.30 DeepSeek V3 is 2.1x cheaper
Output Cost / 1M Tokens $0.28 $1.20 DeepSeek V3 (76.7% lower)
Prompt Cache Read / 1M $0.014 $0.080 DeepSeek V3 is 5.7x cheaper
Prompt Cache Write / 1M $0.14 $0.30 DeepSeek V3 is 2.1x cheaper
Context Window (Max Output) 131k (8k out) 131k (16k out) Equal Context Window
Avg TTFT Response Latency 410ms 150ms Grok 3 Mini (260ms faster)
Generation Speed (Throughput) 78 tok/s 160 tok/s Grok 3 Mini (+82 tok/s faster)
SWE-bench Verified (Coding) 42% 54% Grok 3 Mini (+12.0% lead)
GPQA Diamond (PhD STEM) 59.1% 68% Grok 3 Mini (+8.9% lead)
MMLU-Pro (Multi-Discipline) 75.9% 80% Grok 3 Mini (+4.1% lead)
MATH-500 (Quantitative Logic) 90.2% 87% DeepSeek V3 (+3.2% lead)
Inference Value Score (IVR) 75 / 100 69.2 / 100 DeepSeek V3 (+5.8 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 V3 $3.33

$0.14/1M in · $0.28/1M out

Prompt Cache: $0.014/1M read · $0.14/1M write

Grok 3 Mini $10.75

$0.30/1M in · $1.20/1M out

Prompt Cache: $0.080/1M read · $0.30/1M write

Projected Monthly Cost Reduction
$7.43 / mo
(69.1% 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 3 Mini

Choose Grok 3 Mini (xAI) for high-speed reasoning model providing rapid answers and code generation with chain-of-thought capabilities at edge pricing — offering a 131k context window, 150ms TTFT, and $0.30/1M input pricing ($0.080/1M cached reads).

Related Questions & Decision Factors

Which is cheaper: DeepSeek V3 or Grok 3 Mini?

DeepSeek V3 is cheaper at $0.14/1M input tokens ($0.28/1M output) compared to $0.30/1M input ($1.20/1M output) for Grok 3 Mini.

Which model has lower TTFT latency and higher tok/s throughput: DeepSeek V3 or Grok 3 Mini?

Grok 3 Mini delivers faster first-token latency at 150ms TTFT (160 tok/s throughput) compared to 410ms TTFT (78 tok/s) for DeepSeek V3.

How do DeepSeek V3 and Grok 3 Mini compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, DeepSeek V3 scores 42% versus 54% for Grok 3 Mini. On GPQA Diamond graduate-level STEM reasoning, DeepSeek V3 scores 59.1% versus 68% for Grok 3 Mini (and 90.2% vs 87% 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 3 Mini?

Choose Grok 3 Mini (xAI) for high-speed reasoning model providing rapid answers and code generation with chain-of-thought capabilities at edge pricing — offering a 131k context window, 150ms TTFT, and $0.30/1M input pricing ($0.080/1M cached reads).

Explore High-Priority Related Model Matchups