GPT-5 vs Claude Opus 4.7 vs Gemini 2.5: Which Should You Ship?

Where each one wins (with real benchmarks)

1. 1

   Reasoning depth: Claude Opus 4.7

   On HumanEval-extended, MATH, and our internal multi-step planning bench, Opus beats GPT-5 by 4-8% and Gemini by 12%. The gap shrinks on simple tasks but widens on multi-hop reasoning.

2. 2

   Code generation quality: GPT-5

   GPT-5 outputs cleaner code with fewer 'helpful' explanations. For SWE-bench style edit-this-file tasks, GPT-5 closes more PRs first-try.

3. 3

   Long context: Gemini 2.5 Pro

   1M context window with real recall. Opus has 200K but starts losing precision past 100K. Gemini handles needle-in-haystack at full context length.

4. 4

   Cost-sensitive features: Gemini Flash + Pro routing

   If your feature runs 10K+ times per day, the math is simple. Gemini Flash for 70% of turns, Pro for hard ones. You'll cut your bill 80% vs. Opus-only.

Production patterns we use

Side-by-side: production benchmarks

Use case recommendations

Tiered routing: how we cut inference 60-80%

Cheap classifier picks the model. 70% of turns route to Haiku.

import { complexityClassifier, providers } from "./llm"

export async function route(input: string, user: User) {
  const complexity = await complexityClassifier(input)  // ~$0.0001
  const model =
    complexity === "trivial"  ? providers.gemini.flash :
    complexity === "moderate" ? providers.openai.gpt4oMini :
                                providers.anthropic.opus

  return model.complete({
    system: cached(SYSTEM_PROMPT),  // prompt caching
    messages: [{ role: "user", content: input }],
    max_tokens: budget.tokens,
  })
}

Quick answers