💰 Unit Cost Winner Gemini 4 Argon $2.00/1M in · $10.00/1M out
⚡ Latency & Speed Winner Grok 4 480ms TTFT · 95 tok/s
💻 Coding (SWE) Winner Gemini 4 Argon 84.5% SWE-bench · 96.3% HumanEval
🧠 STEM Reasoning Winner Gemini 4 Argon 93.8% GPQA · 98.2% MATH-500

Which model is better: Gemini 4 Argon or Grok 4?

Gemini 4 Argon is 20.0% cheaper for input tokens ($2.00 vs. $2.50 per 1M tokens) and $10.00 vs. $12.50 for output tokens (1.2x cost advantage). In terms of operational performance, Grok 4 delivers lower response latency at 480ms TTFT (370ms faster than Gemini 4 Argon) with 95 vs. 115 tok/s throughput. Gemini 4 Argon leads coding evaluations at 84.5% SWE-bench Verified vs. 73.2% for Grok 4 and 93.8% vs. 86.2% 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 Gemini 4 Argon Grok 4 Net Delta / Advantage
Input Cost / 1M Tokens $2.00 $2.50 Gemini 4 Argon is 1.3x cheaper
Output Cost / 1M Tokens $10.00 $12.50 Gemini 4 Argon (20.0% lower)
Prompt Cache Read / 1M $0.100 $0.500 Gemini 4 Argon is 5.0x cheaper
Prompt Cache Write / 1M $0.50 $2.50 Gemini 4 Argon is 5.0x cheaper
Context Window (Max Output) 1,024k (1000k out) 262k (66k out) Gemini 4 Argon (3.9x larger context)
Avg TTFT Response Latency 850ms 480ms Grok 4 (370ms faster)
Generation Speed (Throughput) 115 tok/s 95 tok/s Gemini 4 Argon (+20 tok/s faster)
SWE-bench Verified (Coding) 84.5% 73.2% Gemini 4 Argon (+11.3% lead)
GPQA Diamond (PhD STEM) 93.8% 86.2% Gemini 4 Argon (+7.6% lead)
MMLU-Pro (Multi-Discipline) 91.4% 89.9% Gemini 4 Argon (+1.5% lead)
MATH-500 (Quantitative Logic) 98.2% 97.6% Gemini 4 Argon (+0.6% lead)
Inference Value Score (IVR) 62.6 / 100 57.6 / 100 Gemini 4 Argon (+5 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

Gemini 4 Argon $76.25

$2.00/1M in · $10.00/1M out

Prompt Cache: $0.100/1M read · $0.50/1M 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
$23.75 / mo
(23.8% lower cost with Gemini 4 Argon)
Open Full Matchup Analysis →
A

When to Choose Gemini 4 Argon

Choose Gemini 4 Argon (Google) for engineered with a 1M output token limit for long-horizon software engineering, cybersecurity vulnerability remediation, and deep multimodal enterprise work across legal and financial domains — offering a 1,024k context window, 850ms TTFT, and $2.00/1M input pricing ($0.100/1M 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: Gemini 4 Argon or Grok 4?

Gemini 4 Argon is cheaper at $2.00/1M input tokens ($10.00/1M 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: Gemini 4 Argon or Grok 4?

Grok 4 delivers faster first-token latency at 480ms TTFT (95 tok/s throughput) compared to 850ms TTFT (115 tok/s) for Gemini 4 Argon.

How do Gemini 4 Argon and Grok 4 compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, Gemini 4 Argon scores 84.5% versus 73.2% for Grok 4. On GPQA Diamond graduate-level STEM reasoning, Gemini 4 Argon scores 93.8% versus 86.2% for Grok 4 (and 98.2% vs 97.6% on MATH-500).

When should you choose Gemini 4 Argon?

Choose Gemini 4 Argon (Google) for engineered with a 1M output token limit for long-horizon software engineering, cybersecurity vulnerability remediation, and deep multimodal enterprise work across legal and financial domains — offering a 1,024k context window, 850ms TTFT, and $2.00/1M input pricing ($0.100/1M 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