💰 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 Opus 5.5 89.9% SWE-bench · 97.6% HumanEval
🧠 STEM Reasoning Winner Claude Opus 5.5 93.2% GPQA · 98% MATH-500

Which model is better: Claude Opus 5.5 or Gemini 2.0 Flash?

Gemini 2.0 Flash is 97.5% cheaper for input tokens ($0.10 vs. $4.00 per 1M tokens) and $0.40 vs. $20.00 for output tokens (40.0x cost advantage). In terms of operational performance, Gemini 2.0 Flash delivers lower response latency at 280ms TTFT (400ms faster than Claude Opus 5.5) with 185 vs. 95 tok/s throughput. Claude Opus 5.5 leads coding evaluations at 89.9% SWE-bench Verified vs. 51.8% for Gemini 2.0 Flash and 93.2% 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 Opus 5.5 Gemini 2.0 Flash Net Delta / Advantage
Input Cost / 1M Tokens $4.00 $0.10 Gemini 2.0 Flash is 40.0x cheaper
Output Cost / 1M Tokens $20.00 $0.40 Gemini 2.0 Flash (98.0% lower)
Prompt Cache Read / 1M $0.200 $0.025 Gemini 2.0 Flash is 8.0x cheaper
Prompt Cache Write / 1M $5.00 $0.10 Gemini 2.0 Flash is 50.0x cheaper
Context Window (Max Output) 1,024k (128k out) 1,073k (8k out) Gemini 2.0 Flash (1.0x larger context)
Avg TTFT Response Latency 680ms 280ms Gemini 2.0 Flash (400ms faster)
Generation Speed (Throughput) 95 tok/s 185 tok/s Gemini 2.0 Flash (+90 tok/s faster)
SWE-bench Verified (Coding) 89.9% 51.8% Claude Opus 5.5 (+38.1% lead)
GPQA Diamond (PhD STEM) 93.2% 63.6% Claude Opus 5.5 (+29.6% lead)
MMLU-Pro (Multi-Discipline) 92.1% 78.2% Claude Opus 5.5 (+13.9% lead)
MATH-500 (Quantitative Logic) 98% 91.1% Claude Opus 5.5 (+6.9% lead)
Inference Value Score (IVR) 57.8 / 100 77.7 / 100 Gemini 2.0 Flash (+19.9 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 Opus 5.5 $152.50

$4.00/1M in · $20.00/1M out

Prompt Cache: $0.200/1M read · $5.00/1M 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
$148.94 / mo
(97.7% lower cost with Gemini 2.0 Flash)
Open Full Matchup Analysis →
A

When to Choose Claude Opus 5.5

Choose Claude Opus 5.5 (Anthropic) for top-ranked frontier intelligence leader for autonomous multi-step agentic coding, repository-scale migrations, and complex scientific reasoning at a 40% lower workload cost than Opus 5 — offering a 1,024k context window, 680ms TTFT, and $4.00/1M input pricing ($0.200/1M 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 Opus 5.5 or Gemini 2.0 Flash?

Gemini 2.0 Flash is cheaper at $0.10/1M input tokens ($0.40/1M output) compared to $4.00/1M input ($20.00/1M output) for Claude Opus 5.5.

Which model has lower TTFT latency and higher tok/s throughput: Claude Opus 5.5 or Gemini 2.0 Flash?

Gemini 2.0 Flash delivers faster first-token latency at 280ms TTFT (185 tok/s throughput) compared to 680ms TTFT (95 tok/s) for Claude Opus 5.5.

How do Claude Opus 5.5 and Gemini 2.0 Flash compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, Claude Opus 5.5 scores 89.9% versus 51.8% for Gemini 2.0 Flash. On GPQA Diamond graduate-level STEM reasoning, Claude Opus 5.5 scores 93.2% versus 63.6% for Gemini 2.0 Flash (and 98% vs 91.1% on MATH-500).

When should you choose Claude Opus 5.5?

Choose Claude Opus 5.5 (Anthropic) for top-ranked frontier intelligence leader for autonomous multi-step agentic coding, repository-scale migrations, and complex scientific reasoning at a 40% lower workload cost than Opus 5 — offering a 1,024k context window, 680ms TTFT, and $4.00/1M input pricing ($0.200/1M 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