Which model is better: Claude 3.5 Haiku or Gemini 4 Argon?
Claude 3.5 Haiku is 60.0% cheaper for input tokens ($0.80 vs. $2.00 per 1M tokens) and $4.00 vs. $10.00 for output tokens (2.5x cost advantage). In terms of operational performance, Claude 3.5 Haiku delivers lower response latency at 190ms TTFT (660ms faster than Gemini 4 Argon) with 130 vs. 115 tok/s throughput. Gemini 4 Argon leads coding evaluations at 84.5% SWE-bench Verified vs. 40.6% for Claude 3.5 Haiku and 93.8% vs. 41.6% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.
Zero-Shot RAG Verified
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 3.5 Haiku
Gemini 4 Argon
Net Delta / Advantage
Input Cost / 1M Tokens
$0.80
$2.00
Claude 3.5 Haiku is 2.5x cheaper
Output Cost / 1M Tokens
$4.00
$10.00
Claude 3.5 Haiku (60.0% lower)
Prompt Cache Read / 1M
$0.080
$0.100
Claude 3.5 Haiku is 1.3x cheaper
Prompt Cache Write / 1M
$1.00
$0.50
Gemini 4 Argon is 2.0x cheaper
Context Window (Max Output)
205k (8k out)
1,024k (1000k out)
Gemini 4 Argon (5.0x larger context)
Avg TTFT Response Latency
190ms
850ms
Claude 3.5 Haiku (660ms faster)
Generation Speed (Throughput)
130 tok/s
115 tok/s
Claude 3.5 Haiku (+15 tok/s faster)
SWE-bench Verified (Coding)
40.6%
84.5%
Gemini 4 Argon (+43.9% lead)
GPQA Diamond (PhD STEM)
41.6%
93.8%
Gemini 4 Argon (+52.2% lead)
MMLU-Pro (Multi-Discipline)
71%
91.4%
Gemini 4 Argon (+20.4% lead)
MATH-500 (Quantitative Logic)
69.4%
98.2%
Gemini 4 Argon (+28.8% lead)
Inference Value Score (IVR)
52.4 / 100
62.6 / 100
Gemini 4 Argon (+10.2 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
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).
Which is cheaper: Claude 3.5 Haiku or Gemini 4 Argon?
Claude 3.5 Haiku is cheaper at $0.80/1M input tokens ($4.00/1M output) compared to $2.00/1M input ($10.00/1M output) for Gemini 4 Argon.
Which model has lower TTFT latency and higher tok/s throughput: Claude 3.5 Haiku or Gemini 4 Argon?
Claude 3.5 Haiku delivers faster first-token latency at 190ms TTFT (130 tok/s throughput) compared to 850ms TTFT (115 tok/s) for Gemini 4 Argon.
How do Claude 3.5 Haiku and Gemini 4 Argon compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 3.5 Haiku scores 40.6% versus 84.5% for Gemini 4 Argon. On GPQA Diamond graduate-level STEM reasoning, Claude 3.5 Haiku scores 41.6% versus 93.8% for Gemini 4 Argon (and 69.4% vs 98.2% on MATH-500).
When should you choose Claude 3.5 Haiku?
Choose Claude 3.5 Haiku (Anthropic) for rapid customer-facing chat, sub-agent routing, and real-time code autocomplete — offering a 204k context window, 190ms TTFT, and $0.80/1M input pricing ($0.080/1M 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).
