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Claude Opus 5 vs GPT-5.6 Sol: which flagship reasoning model is cheaper?

On raw price, GPT-5.6 Sol wins - cheaper on input, output, and cached input. Pick Opus 5 when Anthropic's tool-use ecosystem or instruction following matters more than the bill.

Same-tier flagship reasoning from Anthropic and OpenAI, with close but not identical pricing.

Claude Opus 5 and GPT-5.6 Sol are the two top-tier reasoning models from Anthropic and OpenAI's 2026 generation. Sol is the cheaper of the two on both input ($4 vs $5) and output ($20 vs $25), so on cost alone it wins. Opus 5 fights back on Anthropic's tooling ecosystem.

By TechCompare · Updated

Cost Comparison

Based on 100,000 input tokens (50% cached), 5,000 output tokens, and 100 requests.Prices are fetched live from OpenRouter and may include temporary promotional discounts not accounted for in our article and comparison figures.

Option A
Claude Opus 5
Wins 0 of 5 compared specs
Option B
GPT-5.6 Sol
Wins 4 of 5 compared specs

Side-by-side specs

SpecClaude Opus 5GPT-5.6 Sol
Input Cost (per M)
$5.00
$4.00 (better on this spec)
Output Cost (per M)
$25.00
$20.00 (better on this spec)
Cached Input (per M)
$0.50
$0.40 (better on this spec)
Batch Discount
50%
50%
Context Window
1M
1.05M (better on this spec)

How they differ

Claude Opus 5 is priced at $5.00 per million input tokens and $25.00 per million output tokens, with a 90% caching discount ($0.50 per million) and a 50% batch discount. GPT-5.6 Sol is priced at $4.00 per million input tokens and $20.00 per million output tokens, also with a 90% caching discount ($0.40 per million) and a 50% batch discount. For a typical 100K input + 10K output request, Opus 5 costs $0.75 and Sol costs $0.60 - a $150K difference over a million calls. On capability, both target the same 'hardest reasoning tier' but lean on different strengths: Opus 5's long-context agentic tool use vs Sol's math and code synthesis.

Verdict

Sol wins all three priced rows: $4.00/M input versus $5.00, $20.00/M output versus $25.00, and $0.40/M cached input versus $0.50, with a 50% batch discount and near-tied context (1.05M versus 1M) on both. A representative 100K input + 10K output call costs $0.60 on Sol against $0.75 on Opus, roughly a $150K difference at a million calls. There's no mode where Opus 5 is cheaper - the decision realistically rests on Anthropic-vs-OpenAI tooling fit and which model handles the workload better.

Which should you pick?

Choose Claude Opus 5

Long-context agentic chains, tool-heavy automations, and Anthropic-flavored instruction following. Opus 5's 1M context and mature tool-use ecosystem pay off when you push the model hard.

Choose GPT-5.6 Sol

Cost-sensitive flagship reasoning, math-heavy scientific work, code synthesis, and pipelines where OpenAI's tooling ecosystem is already wired in. Sol is cheaper on every priced row.

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Frequently asked questions

Is Claude Opus 5 or GPT-5.6 Sol cheaper for flagship reasoning?
GPT-5.6 Sol. It charges $4.00/M input and $20.00/M output versus Opus 5's $5.00/M and $25.00/M - cheaper on both rows. Cached input is also cheaper at $0.40/M versus $0.50/M. Both share a 50% batch discount, so the gap holds in every mode.
Does Opus 5's 1M context compare to Sol's 1.05M?
The 50K-token context gap is real but small. Both are firmly in flagship-tier territory and handle most long-context tasks without chunking. Sol's 1.05M is a slight advantage for very large document sets, but neither is a strict capacity limit for most workloads.
What's the cached input difference between Opus 5 and Sol?
Sol is cheaper at $0.40/M cached versus Opus 5's $0.50/M (both 90% off their base rates). Caching doesn't reverse the verdict - Sol stays the cheaper option whether or not caching kicks in.