Inference Labs › Compare models › Claude Opus 4.7 vs GPT-5

Claude Opus 4.7 vs GPT-5

Side-by-side comparison of Claude Opus 4.7 and GPT-5: per-token pricing, context windows, strengths, and which to pick for production workloads.

Claude Opus 4.7

Anthropic · 200K context
$15.00 / 1M input
$75.00 / 1M output

Strengths

  • Top frontier reasoning, especially on hard agentic tasks.
  • 1M-token context option for whole-codebase work.

Trade-offs

  • Premium pricing.
  • Highest latency in the Anthropic family.

GPT-5

OpenAI · 400K context
$1.25 / 1M input
$10.00 / 1M output

Strengths

  • Strongest reasoning across math, code, and complex multi-step tasks.
  • Native multimodal input.
  • Lower hallucination rate than GPT-4 generation.

Trade-offs

  • More expensive than peers.
  • Slower per-token than 'mini' tier models.

Side-by-side pricing

MetricClaude Opus 4.7GPT-5
Input price ($/1M tokens)$15.00$1.25
Output price ($/1M tokens)$75.00$10.00
Context window200K tokens400K tokens
Cost for 1M in + 1M out$90.00$11.25
Tierpremiumpremium

Which should you pick?

GPT-5 is cheaper per 1M input tokens; GPT-5 is cheaper on output. For high-output workloads (long generation, structured extraction), the output rate dominates.

For long-context use cases, GPT-5 has the larger window (400K vs 200K).

In practice, the right answer depends on your traffic mix. Inference Labs lets you route the same request to whichever of these two is best for that prompt -- using policy you define (quality-first, cost-first, latency-first) without changing your application code.

Route between them automatically

Inference Labs is a vendor-neutral router that sits in front of Claude Opus 4.7, GPT-5, and the other major cloud LLMs. Set per-request policy (max cost, max latency, required quality tier) and the router picks the best model per call. You keep your existing provider accounts -- we just orchestrate.

Stop hard-coding model names. Start a free Inference Labs trial → -- 500 credits, no card required, see your routing decisions in the dashboard within minutes.

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