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Claude Opus 5 vs GPT-5.6 Sol: The Real Price Comparison

OpenAI priced its flagship against Anthropic's Opus tier. How Claude Opus 5 and GPT-5.6 Sol actually compare on cost, context, and fit.

AI Tools Hub Editorial TeamUpdated July 27, 20264 min read

When OpenAI launched GPT-5.6, the headline was that its flagship, Sol, was priced against Anthropic's second tier rather than its top one. With Claude Opus 5 now sitting at $5/$25, that comparison has become the most relevant flagship-to-flagship matchup for most API buyers — and on output tokens, Opus 5 is actually the cheaper of the two.

Claude Opus 5 vs GPT-5.6 Sol at a glance

Claude Opus 5GPT-5.6 Sol
Price (per 1M tokens)$5 in / $25 out$5 in / $30 out
Context window1M tokens1.5M tokens
Max output128K tokensNot published
Cheaper siblingsSonnet 5 $3/$15 · Haiku 4.5 $1/$5Terra $2.50/$15 · Luna $1/$6
Premium siblingFable 5 $10/$50Sol Ultra (parallel sub-agent mode)
Multi-cloudBedrock, Vertex AI, FoundryAzure-centric

GPT-5.6 figures are from our GPT-5.6 vs Claude Fable 5 breakdown, current as of July 2026. We have not seen a published head-to-head benchmark between Claude Opus 5 and GPT-5.6 Sol, so treat any single-number claim about which is "better" with scepticism.

Choose Claude Opus 5 if

  • Output-heavy workloads — $25 against $30 per million output tokens compounds fast on generation-heavy tasks.
  • Deployment inside AWS or Google Cloud, where Claude runs natively on Bedrock and Vertex AI.
  • Long agentic runs, self-verification, and multi-file software work.

Choose GPT-5.6 Sol if

  • Single-shot ingestion beyond 1M tokens — Sol's 1.5M window is a real 50% edge.
  • Existing OpenAI tooling, Codex workflows, and Azure-first infrastructure.
  • Workloads already benchmarked on the GPT family where switching costs exceed the gain.

The verdict

Closer than the marketing on either side suggests. Run a twenty-task private evaluation on your own workload before committing — published benchmarks between these two are not directly comparable.

Whichever way you lean, run the decision on your own workload rather than a benchmark table. Twenty representative tasks from your real queue will tell you more than any published score.

More on Claude Opus 5

Start with the complete Claude Opus 5 guide for the overview, or go deeper:

Frequently Asked Questions

Which is cheaper, Claude Opus 5 or GPT-5.6 Sol?

They match on input at $5 per million tokens, and Opus 5 is cheaper on output — $25 against Sol's $30. For generation-heavy workloads that 20% output difference is the number that matters; for ingestion-heavy workloads they are effectively level.

Which has the bigger context window?

GPT-5.6 Sol, at 1.5M tokens against Claude Opus 5's 1M — a genuine 50% advantage for single-shot ingestion of very large corpora. Opus 5 counters with a published 128K maximum output, where Sol's ceiling has not been published.

Which is better for coding?

There is no published head-to-head benchmark between these two specific models, so the honest answer is: test on your own repository. Broadly, the Claude line's strength is end-to-end work in unfamiliar codebases and long autonomous runs, while the GPT-5.6 family emphasises parallel breadth and raw speed.

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