💰 Unit Cost Winner Gemini 4 Argon $2.00/1M in · $10.00/1M out
⚡ Latency & Speed Winner Gemini 4 Argon 850ms TTFT · 115 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: Claude 4 Opus or Gemini 4 Argon?

Gemini 4 Argon is 86.7% cheaper for input tokens ($2.00 vs. $15.00 per 1M tokens) and $10.00 vs. $75.00 for output tokens (7.5x cost advantage). In terms of operational performance, Gemini 4 Argon delivers lower response latency at 850ms TTFT (70ms faster than Claude 4 Opus) with 115 vs. 46 tok/s throughput. Gemini 4 Argon leads coding evaluations at 84.5% SWE-bench Verified vs. 77.2% for Claude 4 Opus and 93.8% vs. 87.1% 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 Claude 4 Opus Gemini 4 Argon Net Delta / Advantage
Input Cost / 1M Tokens $15.00 $2.00 Gemini 4 Argon is 7.5x cheaper
Output Cost / 1M Tokens $75.00 $10.00 Gemini 4 Argon (86.7% lower)
Prompt Cache Read / 1M $1.500 $0.100 Gemini 4 Argon is 15.0x cheaper
Prompt Cache Write / 1M $18.75 $0.50 Gemini 4 Argon is 37.5x cheaper
Context Window (Max Output) 205k (64k out) 1,024k (1000k out) Gemini 4 Argon (5.0x larger context)
Avg TTFT Response Latency 920ms 850ms Gemini 4 Argon (70ms faster)
Generation Speed (Throughput) 46 tok/s 115 tok/s Gemini 4 Argon (+69 tok/s faster)
SWE-bench Verified (Coding) 77.2% 84.5% Gemini 4 Argon (+7.3% lead)
GPQA Diamond (PhD STEM) 87.1% 93.8% Gemini 4 Argon (+6.7% lead)
MMLU-Pro (Multi-Discipline) 91.8% 91.4% Claude 4 Opus (+0.4% lead)
MATH-500 (Quantitative Logic) 98.1% 98.2% Gemini 4 Argon (+0.1% lead)
Inference Value Score (IVR) 43.6 / 100 62.6 / 100 Gemini 4 Argon (+19 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

Claude 4 Opus $581.25

$15.00/1M in · $75.00/1M out

Prompt Cache: $1.500/1M read · $18.75/1M write

Gemini 4 Argon $76.25

$2.00/1M in · $10.00/1M out

Prompt Cache: $0.100/1M read · $0.50/1M write

Projected Monthly Cost Reduction
$505.00 / mo
(86.9% lower cost with Gemini 4 Argon)
Open Full Matchup Analysis →
A

When to Choose Claude 4 Opus

Choose Claude 4 Opus (Anthropic) for mission-critical R&D, long-horizon autonomous coding tasks, complex theorem proving, and executive strategic synthesis — offering a 204k context window, 920ms TTFT, and $15.00/1M input pricing ($1.500/1M cached reads).

B

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).

Related Questions & Decision Factors

Which is cheaper: Claude 4 Opus or Gemini 4 Argon?

Gemini 4 Argon is cheaper at $2.00/1M input tokens ($10.00/1M output) compared to $15.00/1M input ($75.00/1M output) for Claude 4 Opus.

Which model has lower TTFT latency and higher tok/s throughput: Claude 4 Opus or Gemini 4 Argon?

Gemini 4 Argon delivers faster first-token latency at 850ms TTFT (115 tok/s throughput) compared to 920ms TTFT (46 tok/s) for Claude 4 Opus.

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

On SWE-bench Verified software engineering, Claude 4 Opus scores 77.2% versus 84.5% for Gemini 4 Argon. On GPQA Diamond graduate-level STEM reasoning, Claude 4 Opus scores 87.1% versus 93.8% for Gemini 4 Argon (and 98.1% vs 98.2% on MATH-500).

When should you choose Claude 4 Opus?

Choose Claude 4 Opus (Anthropic) for mission-critical R&D, long-horizon autonomous coding tasks, complex theorem proving, and executive strategic synthesis — offering a 204k context window, 920ms TTFT, and $15.00/1M input pricing ($1.500/1M cached reads).

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).

Explore High-Priority Related Model Matchups