Claude 5 vs GPT-5.6: model comparison for enterprise deployment

Two model families dominate the market

The large language model market in August 2026 resembles a price ladder where two families lead: Claude 5 from Anthropic and GPT-5.6 from OpenAI. Media monitoring indicates both vendors have faced recent pressure to reduce prices and have dealt with security incidents during system testing. Enterprises choosing between them must weigh intelligence scores, coding ability and operational cost across three tiers per family.

Flagship and mid-tier showdown

At the top, Claude Opus 5 scores 60.7 intelligence and 78 coding at $10 per million tokens, generating 54.3 tokens per second. Its rival, GPT-5.6 Sol, scores 58.9 intelligence and 77.4 coding at $11.25 per million tokens with 75.5 tokens per second. The intelligence gap is 1.8 points.

In the middle tier the economics shift. Claude Fable 5 delivers 59.9 intelligence and 76.5 coding at $20 per million tokens and 64.2 tokens per second. GPT-5.6 Terra offers 55 intelligence and 76.7 coding at $4.50 per million tokens and 126 tokens per second. The price gap between these comparable tiers is substantial.

Cost efficiency and throughput reality

Laboratory metrics often obscure operational cost reality. The cheapest Claude 5 model, Sonnet 5, costs $4 per million tokens with 53.4 intelligence and 85.3 tokens per second. The cheapest GPT-5.6 model, Luna, costs $0.45 per million tokens with 51.2 intelligence and 165.6 tokens per second. The price spread across both families reaches 44.4 times, making model choice a major budget item for high-volume users.

GPT-5.6 Luna achieves 113.8 intelligence points per dollar, the highest efficiency in either family. While Claude Sonnet 5 provides 85.3 tokens per second, Luna’s throughput advantage is often more valuable in production than the small intelligence difference. For routine operations Luna’s efficiency is hard to beat, though tasks demanding peak intelligence may still require higher tiers.

Deployment guidance for enterprises

Organisations needing maximum intelligence for complex analysis and code development should select Claude Opus 5 at 60.7 intelligence. Where price-performance balance is the priority, GPT-5.6 Terra at 55 intelligence and $4.50 per million tokens represents a pragmatic compromise. For mass deployment where every dollar counts, GPT-5.6 Luna at $0.45 per million tokens is the most efficient tool across both families.

Token throughput per second must match the application. GPT-5.6 models generally exceed comparable Claude 5 tiers on speed. The decision between families should therefore reflect real production scenarios and token budgets, not laboratory scores alone.