Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Claude Opus 5 (Adaptive Reasoning, Low Effort) | GPT-5.6 Sol (high) |
|---|---|---|
| Input ($/M tokens) | $5 | $5 |
| Output ($/M tokens) | $25 | $30 |
Verdict. GPT-5.6 Sol (high) takes the aggregate benchmark matchup 7–0 across 7 categories. Real workloads usually care about a handful of specific tasks — see the per-benchmark table above.
Pricing. Both models sit in the premium bracket for output-token pricing. At 0.8× the per-million-token cost, Claude Opus 5 (Adaptive Reasoning, Low Effort) is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Claude Opus 5 (Adaptive Reasoning, Low Effort) makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. Claude Opus 5 (Adaptive Reasoning, Low Effort) is strongest on GPQA Diamond (89%), Coding Index (66.9), Intelligence Index (50.6). GPT-5.6 Sol (high) leads on GPQA Diamond (93%), Coding Index (77.2), IFBench (69%).
Speed. On throughput, GPT-5.6 Sol (high) generates tokens at 66 tok/s versus 47 tok/s — about 29% faster. On time-to-first-token, Claude Opus 5 (Adaptive Reasoning, Low Effort) responds in 2763ms vs 11263ms, which matters most for chat-style UIs.
Provider. Anthropic and OpenAI sell to overlapping but distinct developer audiences: Anthropic tends to ship frontier reasoning models with premium positioning, while OpenAI often prices more aggressively. Your existing vendor relationships, billing, and SLA preferences may matter as much as the raw numbers above.
Workload cost. Workload scenarios (per million requests at 30M input + 15M output tokens): Claude Opus 5 (Adaptive Reasoning, Low Effort) costs $525.00 ($6300/year); GPT-5.6 Sol (high) costs $600.00 ($7200/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Claude Opus 5 (Adaptive Reasoning, Low Effort) ≈ $75.00/run, GPT-5.6 Sol (high) ≈ $85.00/run. At agent/realtime scale (200M input / 100M output per million requests): Claude Opus 5 (Adaptive Reasoning, Low Effort) ≈ $3500/run, GPT-5.6 Sol (high) ≈ $4000/run. Claude Opus 5 (Adaptive Reasoning, Low Effort) becomes more attractive at higher volume — the absolute per-token pricing difference compounds when you ship at scale.
Recommendation. Both models have legitimate use cases — the right answer depends on whether you are optimizing for benchmark ceiling, latency, or unit cost. Start with the cheaper / faster model, evaluate against your specific task, and only switch if the upgrade shows a meaningful lift.
Head-to-head deltas
Data from Artificial Analysis API — 12 benchmarks
Claude Opus 5 (Adaptive Reasoning, Low Effort) is cheaper overall. Its blended price (3:1 input/output ratio) is $10.00/M tokens vs $11.25/M for GPT-5.6 Sol (high).
GPT-5.6 Sol (high) wins 7 out of 12 benchmarks compared to 0 for Claude Opus 5 (Adaptive Reasoning, Low Effort). See the detailed benchmark chart above for per-category results.
GPT-5.6 Sol (high) generates tokens faster at 66 tok/s vs 47 tok/s. Claude Opus 5 (Adaptive Reasoning, Low Effort) also has lower time-to-first-token (2.76s vs 11.26s).
Choose based on your priorities: Claude Opus 5 (Adaptive Reasoning, Low Effort) for lower cost, GPT-5.6 Sol (high) for stronger benchmark performance, and GPT-5.6 Sol (high) for faster generation. For latency-sensitive apps, check the TTFT comparison above.