💰 Unit Cost Winner Gemini 2.0 Flash $0.10/1M in · $0.40/1M out
⚡ Latency & Speed Winner Gemini 2.0 Flash 280ms TTFT · 185 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 2.0 Flash?

Gemini 2.0 Flash is 99.3% cheaper for input tokens ($0.10 vs. $15.00 per 1M tokens) and $0.40 vs. $75.00 for output tokens (150.0x cost advantage). In terms of operational performance, Gemini 2.0 Flash delivers lower response latency at 280ms TTFT (640ms faster than Claude 4 Opus) with 185 vs. 46 tok/s throughput. Claude 4 Opus leads coding evaluations at 77.2% SWE-bench Verified vs. 51.8% for Gemini 2.0 Flash and 87.1% vs. 63.6% 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 2.0 Flash Net Delta / Advantage
Input Cost / 1M Tokens $15.00 $0.10 Gemini 2.0 Flash is 150.0x cheaper
Output Cost / 1M Tokens $75.00 $0.40 Gemini 2.0 Flash (99.5% lower)
Prompt Cache Read / 1M $1.500 $0.025 Gemini 2.0 Flash is 60.0x cheaper
Prompt Cache Write / 1M $18.75 $0.10 Gemini 2.0 Flash is 187.5x cheaper
Context Window (Max Output) 205k (64k out) 1,073k (8k out) Gemini 2.0 Flash (5.2x larger context)
Avg TTFT Response Latency 920ms 280ms Gemini 2.0 Flash (640ms faster)
Generation Speed (Throughput) 46 tok/s 185 tok/s Gemini 2.0 Flash (+139 tok/s faster)
SWE-bench Verified (Coding) 77.2% 51.8% Claude 4 Opus (+25.4% lead)
GPQA Diamond (PhD STEM) 87.1% 63.6% Claude 4 Opus (+23.5% lead)
MMLU-Pro (Multi-Discipline) 91.8% 78.2% Claude 4 Opus (+13.6% lead)
MATH-500 (Quantitative Logic) 98.1% 91.1% Claude 4 Opus (+7.0% lead)
Inference Value Score (IVR) 43.6 / 100 77.7 / 100 Gemini 2.0 Flash (+34.1 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 2.0 Flash $3.56

$0.10/1M in · $0.40/1M out

Prompt Cache: $0.025/1M read · $0.10/1M write

Projected Monthly Cost Reduction
$577.69 / mo
(99.4% lower cost with Gemini 2.0 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 2.0 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).

Related Questions & Decision Factors

Which is cheaper: Claude 4 Opus or Gemini 2.0 Flash?

Gemini 2.0 Flash is cheaper at $0.10/1M input tokens ($0.40/1M 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 2.0 Flash?

Gemini 2.0 Flash delivers faster first-token latency at 280ms TTFT (185 tok/s throughput) compared to 920ms TTFT (46 tok/s) for Claude 4 Opus.

How do Claude 4 Opus and Gemini 2.0 Flash compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, Claude 4 Opus scores 77.2% versus 51.8% for Gemini 2.0 Flash. On GPQA Diamond graduate-level STEM reasoning, Claude 4 Opus scores 87.1% versus 63.6% for Gemini 2.0 Flash (and 98.1% vs 91.1% 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 2.0 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).

Explore High-Priority Related Model Matchups