💰 Unit Cost Winner Gemini 4 Argon $2.00/1M in · $10.00/1M out
⚡ Latency & Speed Winner Claude 4.5 Sonnet 380ms TTFT · 84 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 4.5 Sonnet or Gemini 4 Argon?

Gemini 4 Argon delivers superior benchmark performance at a 33.3% lower cost than Claude 4.5 Sonnet. Priced at $2.00 input and $10.00 output per 1M tokens versus Claude's $3.00 and $15.00, Gemini leads SWE-bench Verified (84.5% vs. 75.8%) and GPQA Diamond (93.8% vs. 84.2%). Claude only wins in initial response latency at 380ms TTFT.
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 4.5 Sonnet Gemini 4 Argon Net Delta / Advantage
Input Cost / 1M Tokens $3.00 $2.00 Gemini 4 Argon is 1.5x cheaper
Output Cost / 1M Tokens $15.00 $10.00 Gemini 4 Argon (33.3% lower)
Prompt Cache Read / 1M $0.300 $0.100 Gemini 4 Argon is 3.0x cheaper
Prompt Cache Write / 1M $3.75 $0.50 Gemini 4 Argon is 7.5x cheaper
Context Window (Max Output) 205k (64k out) 1,024k (1000k out) Gemini 4 Argon (5.0x larger context)
Avg TTFT Response Latency 380ms 850ms Claude 4.5 Sonnet (470ms faster)
Generation Speed (Throughput) 84 tok/s 115 tok/s Gemini 4 Argon (+31 tok/s faster)
SWE-bench Verified (Coding) 75.8% 84.5% Gemini 4 Argon (+8.7% lead)
GPQA Diamond (PhD STEM) 84.2% 93.8% Gemini 4 Argon (+9.6% lead)
MMLU-Pro (Multi-Discipline) 90.4% 91.4% Gemini 4 Argon (+1.0% lead)
MATH-500 (Quantitative Logic) 97.5% 98.2% Gemini 4 Argon (+0.7% lead)
Inference Value Score (IVR) 56.5 / 100 62.6 / 100 Gemini 4 Argon (+6.1 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 4.5 Sonnet $116.25

$3.00/1M in · $15.00/1M out

Prompt Cache: $0.300/1M read · $3.75/1M 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
$40.00 / mo
(34.4% lower cost with Gemini 4 Argon)
Open Full Matchup Analysis →
A

When to Choose Claude 4.5 Sonnet

Choose Claude 4.5 Sonnet (Anthropic) for end-to-end autonomous coding agents, complex multi-file debugging, browser/GUI automation, and high-precision technical writing — offering a 204k context window, 380ms TTFT, and $3.00/1M input pricing ($0.300/1M 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 4.5 Sonnet or Gemini 4 Argon?

Gemini 4 Argon is cheaper at $2.00/1M input tokens ($10.00/1M output) compared to $3.00/1M input ($15.00/1M output) for Claude 4.5 Sonnet.

Which model has lower TTFT latency and higher tok/s throughput: Claude 4.5 Sonnet or Gemini 4 Argon?

Claude 4.5 Sonnet delivers faster first-token latency at 380ms TTFT (84 tok/s throughput) compared to 850ms TTFT (115 tok/s) for Gemini 4 Argon.

How do Claude 4.5 Sonnet and Gemini 4 Argon compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, Claude 4.5 Sonnet scores 75.8% versus 84.5% for Gemini 4 Argon. On GPQA Diamond graduate-level STEM reasoning, Claude 4.5 Sonnet scores 84.2% versus 93.8% for Gemini 4 Argon (and 97.5% vs 98.2% on MATH-500).

When should you choose Claude 4.5 Sonnet?

Choose Claude 4.5 Sonnet (Anthropic) for end-to-end autonomous coding agents, complex multi-file debugging, browser/GUI automation, and high-precision technical writing — offering a 204k context window, 380ms TTFT, and $3.00/1M input pricing ($0.300/1M 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).

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