💰 Unit Cost Winner Gemini 2.5 Flash $0.30/1M in · $2.50/1M out
⚡ Latency & Speed Winner Gemini 2.5 Flash 110ms TTFT · 180 tok/s
💻 Coding (SWE) Winner Claude 4 Opus 77.2% SWE-bench · 96.8% HumanEval
🧠 STEM Reasoning Winner Claude 4 Opus 87.1% GPQA · 98.1% MATH-500

Which model is better: Claude 4 Opus or Gemini 2.5 Flash?

Gemini 2.5 Flash is 98.0% cheaper for input tokens ($0.30 vs. $15.00 per 1M tokens) and $2.50 vs. $75.00 for output tokens (50.0x cost advantage). In terms of operational performance, Gemini 2.5 Flash delivers lower response latency at 110ms TTFT (810ms faster than Claude 4 Opus) with 180 vs. 46 tok/s throughput. Claude 4 Opus leads coding evaluations at 77.2% SWE-bench Verified vs. 58.0% for Gemini 2.5 Flash and 87.1% vs. 70.5% 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 4 Opus Gemini 2.5 Flash Net Delta / Advantage
Input Cost / 1M Tokens $15.00 $0.30 Gemini 2.5 Flash is 50.0x cheaper
Output Cost / 1M Tokens $75.00 $2.50 Gemini 2.5 Flash (96.7% lower)
Prompt Cache Read / 1M $1.500 $0.030 Gemini 2.5 Flash is 50.0x cheaper
Prompt Cache Write / 1M $18.75 $0.30 Gemini 2.5 Flash is 62.5x cheaper
Context Window (Max Output) 205k (64k out) 1,049k (66k out) Gemini 2.5 Flash (5.1x larger context)
Avg TTFT Response Latency 920ms 110ms Gemini 2.5 Flash (810ms faster)
Generation Speed (Throughput) 46 tok/s 180 tok/s Gemini 2.5 Flash (+134 tok/s faster)
SWE-bench Verified (Coding) 77.2% 58% Claude 4 Opus (+19.2% lead)
GPQA Diamond (PhD STEM) 87.1% 70.5% Claude 4 Opus (+16.6% lead)
MMLU-Pro (Multi-Discipline) 91.8% 82% Claude 4 Opus (+9.8% lead)
MATH-500 (Quantitative Logic) 98.1% 89% Claude 4 Opus (+9.1% lead)
Inference Value Score (IVR) 43.6 / 100 66.6 / 100 Gemini 2.5 Flash (+23 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 Opus $581.25

$15.00/1M in · $75.00/1M out

Prompt Cache: $1.500/1M read · $18.75/1M write

Gemini 2.5 Flash $16.63

$0.30/1M in · $2.50/1M out

Prompt Cache: $0.030/1M read · $0.30/1M write

Projected Monthly Cost Reduction
$564.63 / mo
(97.1% lower cost with Gemini 2.5 Flash)
Open Full Matchup Analysis →
A

When to Choose Claude 4 Opus

Choose Claude 4 Opus (Anthropic) for mission-critical R&D, long-horizon autonomous coding tasks, complex theorem proving, and executive strategic synthesis — offering a 204k context window, 920ms TTFT, and $15.00/1M input pricing ($1.500/1M cached reads).

B

When to Choose Gemini 2.5 Flash

Choose Gemini 2.5 Flash (Google) for cost-efficient 1M-context summarization, multimodal extraction, and interactive assistants — offering a 1,048k context window, 110ms TTFT, and $0.30/1M input pricing ($0.030/1M cached reads).

Related Questions & Decision Factors

Which is cheaper: Claude 4 Opus or Gemini 2.5 Flash?

Gemini 2.5 Flash is cheaper at $0.30/1M input tokens ($2.50/1M output) compared to $15.00/1M input ($75.00/1M output) for Claude 4 Opus.

Which model has lower TTFT latency and higher tok/s throughput: Claude 4 Opus or Gemini 2.5 Flash?

Gemini 2.5 Flash delivers faster first-token latency at 110ms TTFT (180 tok/s throughput) compared to 920ms TTFT (46 tok/s) for Claude 4 Opus.

How do Claude 4 Opus and Gemini 2.5 Flash compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, Claude 4 Opus scores 77.2% versus 58% for Gemini 2.5 Flash. On GPQA Diamond graduate-level STEM reasoning, Claude 4 Opus scores 87.1% versus 70.5% for Gemini 2.5 Flash (and 98.1% vs 89% on MATH-500).

When should you choose Claude 4 Opus?

Choose Claude 4 Opus (Anthropic) for mission-critical R&D, long-horizon autonomous coding tasks, complex theorem proving, and executive strategic synthesis — offering a 204k context window, 920ms TTFT, and $15.00/1M input pricing ($1.500/1M cached reads).

When should you choose Gemini 2.5 Flash?

Choose Gemini 2.5 Flash (Google) for cost-efficient 1M-context summarization, multimodal extraction, and interactive assistants — offering a 1,048k context window, 110ms TTFT, and $0.30/1M input pricing ($0.030/1M cached reads).

Explore High-Priority Related Model Matchups