💰 Unit Cost Winner Gemini 2.5 Pro $1.25/1M in · $10.00/1M out
⚡ Latency & Speed Winner Claude 3.5 Sonnet 310ms TTFT · 80 tok/s
💻 Coding (SWE) Winner Gemini 2.5 Pro 63.8% SWE-bench · 89.8% HumanEval
🧠 STEM Reasoning Winner Gemini 2.5 Pro 74% GPQA · 95% MATH-500

Which model is better: Claude 3.5 Sonnet or Gemini 2.5 Pro?

Gemini 2.5 Pro is 58.3% cheaper for input tokens ($1.25 vs. $3.00 per 1M tokens) and $10.00 vs. $15.00 for output tokens (2.4x cost advantage). In terms of operational performance, Claude 3.5 Sonnet delivers lower response latency at 310ms TTFT (390ms faster than Gemini 2.5 Pro) with 80 vs. 80 tok/s throughput. Gemini 2.5 Pro leads coding evaluations at 63.8% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 74.0% vs. 59.4% 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 3.5 Sonnet Gemini 2.5 Pro Net Delta / Advantage
Input Cost / 1M Tokens $3.00 $1.25 Gemini 2.5 Pro is 2.4x cheaper
Output Cost / 1M Tokens $15.00 $10.00 Gemini 2.5 Pro (33.3% lower)
Prompt Cache Read / 1M $0.300 $0.313 Claude 3.5 Sonnet is 1.0x cheaper
Prompt Cache Write / 1M $3.75 $1.25 Gemini 2.5 Pro is 3.0x cheaper
Context Window (Max Output) 205k (8k out) 1,024k (66k out) Gemini 2.5 Pro (5.0x larger context)
Avg TTFT Response Latency 310ms 700ms Claude 3.5 Sonnet (390ms faster)
Generation Speed (Throughput) 80 tok/s 80 tok/s Equal Throughput
SWE-bench Verified (Coding) 49% 63.8% Gemini 2.5 Pro (+14.8% lead)
GPQA Diamond (PhD STEM) 59.4% 74% Gemini 2.5 Pro (+14.6% lead)
MMLU-Pro (Multi-Discipline) 78% 85.2% Gemini 2.5 Pro (+7.2% lead)
MATH-500 (Quantitative Logic) 78.3% 95% Gemini 2.5 Pro (+16.7% lead)
Inference Value Score (IVR) 46.2 / 100 56.8 / 100 Gemini 2.5 Pro (+10.6 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 3.5 Sonnet $116.25

$3.00/1M in · $15.00/1M out

Prompt Cache: $0.300/1M read · $3.75/1M write

Gemini 2.5 Pro $69.53

$1.25/1M in · $10.00/1M out

Prompt Cache: $0.313/1M read · $1.25/1M write

Projected Monthly Cost Reduction
$46.72 / mo
(40.2% lower cost with Gemini 2.5 Pro)
Open Full Matchup Analysis →
A

When to 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).

B

When to Choose Gemini 2.5 Pro

Choose Gemini 2.5 Pro (Google) for long-context document and video analysis, large codebase ingestion, and multimodal reasoning — offering a 1,024k context window, 700ms TTFT, and $1.25/1M input pricing ($0.312/1M cached reads).

Related Questions & Decision Factors

Which is cheaper: Claude 3.5 Sonnet or Gemini 2.5 Pro?

Gemini 2.5 Pro is cheaper at $1.25/1M input tokens ($10.00/1M 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 2.5 Pro?

Claude 3.5 Sonnet delivers faster first-token latency at 310ms TTFT (80 tok/s throughput) compared to 700ms TTFT (80 tok/s) for Gemini 2.5 Pro.

How do Claude 3.5 Sonnet and Gemini 2.5 Pro compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, Claude 3.5 Sonnet scores 49% versus 63.8% for Gemini 2.5 Pro. On GPQA Diamond graduate-level STEM reasoning, Claude 3.5 Sonnet scores 59.4% versus 74% for Gemini 2.5 Pro (and 78.3% vs 95% 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 2.5 Pro?

Choose Gemini 2.5 Pro (Google) for long-context document and video analysis, large codebase ingestion, and multimodal reasoning — offering a 1,024k context window, 700ms TTFT, and $1.25/1M input pricing ($0.312/1M cached reads).

Explore High-Priority Related Model Matchups