Which model is better: Claude 3.5 Sonnet or Gemini 2.0 Flash?
Gemini 2.0 Flash is 96.7% cheaper for input tokens ($0.10 vs. $3.00 per 1M tokens) and $0.40 vs. $15.00 for output tokens (30.0x cost advantage). In terms of operational performance, Gemini 2.0 Flash delivers lower response latency at 280ms TTFT (30ms faster than Claude 3.5 Sonnet) with 185 vs. 80 tok/s throughput. Gemini 2.0 Flash leads coding evaluations at 51.8% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 63.6% vs. 59.4% 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 Sonnet
Gemini 2.0 Flash
Net Delta / Advantage
Input Cost / 1M Tokens
$3.00
$0.10
Gemini 2.0 Flash is 30.0x cheaper
Output Cost / 1M Tokens
$15.00
$0.40
Gemini 2.0 Flash (97.3% lower)
Prompt Cache Read / 1M
$0.300
$0.025
Gemini 2.0 Flash is 12.0x cheaper
Prompt Cache Write / 1M
$3.75
$0.10
Gemini 2.0 Flash is 37.5x cheaper
Context Window (Max Output)
205k (8k out)
1,073k (8k out)
Gemini 2.0 Flash (5.2x larger context)
Avg TTFT Response Latency
310ms
280ms
Gemini 2.0 Flash (30ms faster)
Generation Speed (Throughput)
80 tok/s
185 tok/s
Gemini 2.0 Flash (+105 tok/s faster)
SWE-bench Verified (Coding)
49%
51.8%
Gemini 2.0 Flash (+2.8% lead)
GPQA Diamond (PhD STEM)
59.4%
63.6%
Gemini 2.0 Flash (+4.2% lead)
MMLU-Pro (Multi-Discipline)
78%
78.2%
Gemini 2.0 Flash (+0.2% lead)
MATH-500 (Quantitative Logic)
78.3%
91.1%
Gemini 2.0 Flash (+12.8% lead)
Inference Value Score (IVR)
46.2 / 100
77.7 / 100
Gemini 2.0 Flash (+31.5 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Which is cheaper: Claude 3.5 Sonnet or Gemini 2.0 Flash?
Gemini 2.0 Flash is cheaper at $0.10/1M input tokens ($0.40/1M output) compared to $3.00/1M input ($15.00/1M output) for Claude 3.5 Sonnet.
Which model has lower TTFT latency and higher tok/s throughput: Claude 3.5 Sonnet or Gemini 2.0 Flash?
Gemini 2.0 Flash delivers faster first-token latency at 280ms TTFT (185 tok/s throughput) compared to 310ms TTFT (80 tok/s) for Claude 3.5 Sonnet.
How do Claude 3.5 Sonnet and Gemini 2.0 Flash compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 3.5 Sonnet scores 49% versus 51.8% for Gemini 2.0 Flash. On GPQA Diamond graduate-level STEM reasoning, Claude 3.5 Sonnet scores 59.4% versus 63.6% for Gemini 2.0 Flash (and 78.3% vs 91.1% on MATH-500).
When should you choose Claude 3.5 Sonnet?
Choose Claude 3.5 Sonnet (Anthropic) for legacy enterprise workflows, code review pipelines, and human-like content generation — offering a 204k context window, 310ms TTFT, and $3.00/1M input pricing ($0.300/1M cached reads).
When should you choose Gemini 2.0 Flash?
Choose Gemini 2.0 Flash (Google DeepMind) for legacy high-throughput multimodal pipelines migrating to Gemini 3.8 Flash — offering a 1,073k context window, 280ms TTFT, and $0.10/1M input pricing ($0.025/1M cached reads).
