Which model is better: Claude 3.7 Sonnet or Gemini 3.8 Flash?
Gemini 3.8 Flash is 91.7% cheaper for input tokens ($0.25 vs. $3.00 per 1M tokens) and $1.50 vs. $15.00 for output tokens (12.0x cost advantage). In terms of operational performance, Gemini 3.8 Flash delivers lower response latency at 105ms TTFT (435ms faster than Claude 3.7 Sonnet) with 210 vs. 72 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 68.5% for Gemini 3.8 Flash and 78.5% vs. 79.2% 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 3.7 Sonnet
Gemini 3.8 Flash
Net Delta / Advantage
Input Cost / 1M Tokens
$3.00
$0.25
Gemini 3.8 Flash is 12.0x cheaper
Output Cost / 1M Tokens
$15.00
$1.50
Gemini 3.8 Flash (90.0% lower)
Prompt Cache Read / 1M
$0.300
$0.025
Gemini 3.8 Flash is 12.0x cheaper
Prompt Cache Write / 1M
$3.75
$0.25
Gemini 3.8 Flash is 15.0x cheaper
Context Window (Max Output)
205k (64k out)
1,049k (66k out)
Gemini 3.8 Flash (5.1x larger context)
Avg TTFT Response Latency
540ms
105ms
Gemini 3.8 Flash (435ms faster)
Generation Speed (Throughput)
72 tok/s
210 tok/s
Gemini 3.8 Flash (+138 tok/s faster)
SWE-bench Verified (Coding)
70.3%
68.5%
Claude 3.7 Sonnet (+1.8% lead)
GPQA Diamond (PhD STEM)
78.5%
79.2%
Gemini 3.8 Flash (+0.7% lead)
MMLU-Pro (Multi-Discipline)
88%
87.4%
Claude 3.7 Sonnet (+0.6% lead)
MATH-500 (Quantitative Logic)
96.2%
95.1%
Claude 3.7 Sonnet (+1.1% lead)
Inference Value Score (IVR)
54.3 / 100
74 / 100
Gemini 3.8 Flash (+19.7 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 3.8 Flash (Google) for high-throughput agentic workflows, real-time multimodal RAG, live search grounding, and production code generation at flash unit economics — offering a 1,048k context window, 105ms TTFT, and $0.25/1M input pricing ($0.025/1M cached reads).
Which is cheaper: Claude 3.7 Sonnet or Gemini 3.8 Flash?
Gemini 3.8 Flash is cheaper at $0.25/1M input tokens ($1.50/1M output) compared to $3.00/1M input ($15.00/1M output) for Claude 3.7 Sonnet.
Which model has lower TTFT latency and higher tok/s throughput: Claude 3.7 Sonnet or Gemini 3.8 Flash?
Gemini 3.8 Flash delivers faster first-token latency at 105ms TTFT (210 tok/s throughput) compared to 540ms TTFT (72 tok/s) for Claude 3.7 Sonnet.
How do Claude 3.7 Sonnet and Gemini 3.8 Flash compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 3.7 Sonnet scores 70.3% versus 68.5% for Gemini 3.8 Flash. On GPQA Diamond graduate-level STEM reasoning, Claude 3.7 Sonnet scores 78.5% versus 79.2% for Gemini 3.8 Flash (and 96.2% vs 95.1% on MATH-500).
When should you choose Claude 3.7 Sonnet?
Choose Claude 3.7 Sonnet (Anthropic) for full-stack repository development, complex code refactoring, and agentic tool use with predictable prompt cache economics — offering a 204k context window, 540ms TTFT, and $3.00/1M input pricing ($0.300/1M cached reads).
When should you choose Gemini 3.8 Flash?
Choose Gemini 3.8 Flash (Google) for high-throughput agentic workflows, real-time multimodal RAG, live search grounding, and production code generation at flash unit economics — offering a 1,048k context window, 105ms TTFT, and $0.25/1M input pricing ($0.025/1M cached reads).
