Time to First Token · Claude Opus 4.8 (Adaptive Reasoning, Max Effort)
300ms
Time to First Token · GPT-5.6 Sol (max)
300ms
Claude Opus 4.8 (Adaptive Reasoning, Max Effort) vs GPT-5.6 Sol (max): The Ultimate Performance & Pricing Comparison
Deep dive into reasoning, benchmarks, and latency insights.
The Final Verdict in the Claude Opus 4.8 (Adaptive Reasoning, Max Effort) vs GPT-5.6 Sol (max) Showdown
GPT-5.6 Sol (max) takes this matchup on raw intelligence and reasoning. Pick Claude Opus 4.8 (Adaptive Reasoning, Max Effort) when faster response times and cost-efficiency matters more.
Model Snapshot
Key decision metrics at a glance.
Claude Opus 4.8 (Adaptive Reasoning, Max Effort)GPT-5.6 Sol (max)
6.0
Reasoning6.0
7.0
Coding8.0
5.0
Multimodal5.0
7.0
Long Context7.0
$0.010
Blended Price / 1M tokens$0.011
1000ms
P95 Latency1000ms
—
Tokens per second78
Data provided by artificialanalysis.ai
Overall Capabilities
This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Claude Opus 4.8 (Adaptive Reasoning, Max Effort)` vs `GPT-5.6 Sol (max)`.
Claude Opus 4.8 (Adaptive Reasoning, Max Effort)GPT-5.6 Sol (max)
Benchmark Breakdown
This grouped bar chart provides a side-by-side comparison for each benchmark metric.
6060
MMLU Pro4848
AIME7080
LiveCodeBench5454
GSM8KClaude Opus 4.8 (Adaptive Reasoning, Max Effort)GPT-5.6 Sol (max)
Speed & Latency
Lower time to first token is better; higher tokens per second is better.
Tokens per Second · Claude Opus 4.8 (Adaptive Reasoning, Max Effort)
28
Tokens per Second · GPT-5.6 Sol (max)
77.617
The Economics of Claude Opus 4.8 (Adaptive Reasoning, Max Effort) vs GPT-5.6 Sol (max)
Pricing Breakdown
Compare input and output pricing at a glance.
$0.005$0.005
Input Pricing$0.025$0.03
Output PricingClaude Opus 4.8 (Adaptive Reasoning, Max Effort)GPT-5.6 Sol (max)
Real-World Cost Scenario
Per run: 1M input tokens + 250k output tokensClaude Opus 4.8 (Adaptive Reasoning, Max Effort)$0.011
GPT-5.6 Sol (max)$0.013
Claude Opus 4.8 (Adaptive Reasoning, Max Effort) costs $0.001 less per run
Which Model Wins the Claude Opus 4.8 (Adaptive Reasoning, Max Effort) vs GPT-5.6 Sol (max) Battle for You?
Choose Claude Opus 4.8 (Adaptive Reasoning, Max Effort) if...
- Cheaper output ($0.03 vs $0.03)
Choose GPT-5.6 Sol (max) if...
- Stronger coding (8.0 vs 7.0)
Your Questions about the Claude Opus 4.8 (Adaptive Reasoning, Max Effort) vs GPT-5.6 Sol (max) Comparison
Is `Claude Opus 4.8 (Adaptive Reasoning, Max Effort)` a direct replacement for `GPT-5.6 Sol (max)`?
Based on our Claude Opus 4.8 (Adaptive Reasoning, Max Effort) vs GPT-5.6 Sol (max) analysis, they serve different niches. Claude Opus 4.8 (Adaptive Reasoning, Max Effort) is positioned as a more powerful option, but GPT-5.6 Sol (max)'s distinct advantages in areas like speed or cost ensure it remains relevant.
For coding, which is better in the `Claude Opus 4.8 (Adaptive Reasoning, Max Effort) vs GPT-5.6 Sol (max)` debate?
The benchmark data in our Claude Opus 4.8 (Adaptive Reasoning, Max Effort) vs GPT-5.6 Sol (max) comparison shows GPT-5.6 Sol (max) has a clear advantage, scoring 80 on LiveCodeBench versus 70.
How was this `Claude Opus 4.8 (Adaptive Reasoning, Max Effort) vs GPT-5.6 Sol (max)` comparison conducted?
Our Claude Opus 4.8 (Adaptive Reasoning, Max Effort) vs GPT-5.6 Sol (max) comparison uses standardized benchmark data and pricing information directly from the model creators to ensure objectivity and accuracy.