AI Model Comparison

Claude Opus 5 vs GPT-5.6 Sol

Compare Claude Opus 5 (Adaptive Reasoning, Max Effort) vs GPT-5.6 Sol (max) with benchmark results, speed, pricing, and practical workflow guidance.

Best For Claude Opus 5 (Adaptive Reasoning, Max Effort)

  • Cost-effective reasoning tasks
  • Lower latency applications
  • High-level coding projects

Best For GPT-5.6 Sol (max)

  • High-throughput text generation
  • Complex agentic reasoning
  • Tasks requiring specialized benchmarks

Claude Opus 5 and GPT-5.6 Sol represent the latest frontier in AI development. While Claude Opus 5 offers superior intelligence and cost-efficiency, GPT-5.6 Sol provides faster output speeds and a broader range of specialized benchmark performance.

Quick Take

Released in July 2026, both Claude Opus 5 (Anthropic) and GPT-5.6 Sol (OpenAI) are top-tier models. Claude Opus 5 leads in the Intelligence Index (60.7 vs 58.9) and Coding Index (78 vs 77.4). GPT-5.6 Sol, however, delivers significantly higher output speeds, though it suffers from a much longer time-to-first-token latency.

Benchmark Read

Performance metrics highlight different strengths for each model. Claude Opus 5 excels in the HLE benchmark (0.526 vs 0.472). GPT-5.6 Sol demonstrates higher proficiency in GPQA (0.941 vs 0.932), SciCode (0.561 vs 0.557), and LCR (0.737 vs 0.7). GPT-5.6 Sol also provides data for additional metrics, including IFBench (0.727), TerminalBench Hard (0.659), and TAU2 (0.851).

Cost and Speed

Cost structures differ slightly between the two providers:

  • Claude Opus 5: Input $5.00/1M, Output $25.00/1M, Blended $10.00/1M. Output speed is 43.944 tok/s with a 28.698s time-to-first-token.
  • GPT-5.6 Sol: Input $5.00/1M, Output $30.00/1M, Blended $11.25/1M. Output speed is 73.856 tok/s with an 86.493s time-to-first-token.

While GPT-5.6 Sol is faster at generating text once started, Claude Opus 5 is more responsive and cheaper to operate on a blended basis.

Best Fit

Claude Opus 5 is best suited for cost-sensitive projects requiring high-level reasoning and coding tasks. GPT-5.6 Sol is better suited for high-volume text generation tasks where the initial latency is less critical than the total throughput speed.

Benchmark table

Side-by-side scores, speed, and pricing for the selected models.

Metric Anthropic Claude Opus 5 (Adaptive Reasoning, Max Effort) OpenAI GPT-5.6 Sol (max)
Index Scores
Intelligence Index 60.7 58.9
Coding Index 78.0 77.4
Math Index--
Benchmark Scores
GPQA 93.2 94.1
SciCode 55.7 56.1
IFBench- 72.7
HLE 52.6 47.2
LCR 70.0 73.7
TAU2- 85.1
TerminalBench Hard- 65.9

Verdict

Choose Claude Opus 5 if your priority is cost-effectiveness and higher general intelligence scores. Its lower blended pricing and faster time-to-first-token make it ideal for responsive applications. Conversely, opt for GPT-5.6 Sol if your workflow requires higher output throughput and specialized reasoning capabilities, as evidenced by its strong performance in benchmarks like IFBench and TAU2.

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