Verified October 2026

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GPT-6 Sol vs Claude Sonnet 4.6

A straight cost comparison of GPT-6 Sol (OpenAI) and Claude Sonnet 4.6 (Anthropic), per 1,000,000 tokens, verified October 2026.

$2GPT-6 Sol input / 1M
$3Claude Sonnet 4.6 input / 1M
33%Blended price gap
GPT-6 SolCheaper blended

Rate-by-rate comparison

USD per 1M tokens · October 2026
MetricGPT-6 SolClaude Sonnet 4.6Winner
Input / 1M$2$3GPT-6 Sol
Cached input / 1M$0.20$0.30GPT-6 Sol
Cache write / 1M$2.50$3.75GPT-6 Sol
Output / 1M$10$15GPT-6 Sol
Context window1,050,0001,000,000GPT-6 Sol
Batch APIYesYesTie
Long-context tier> 272,000None—

For per-token metrics, the lower number wins. For context window and batch support, the higher or broader option wins. A dash means the provider does not publish that rate: a missing cache-write fee means writes are not billed per token, while a missing cached-input rate means cache hits bill at the full input rate.

Blended cost: 1M input + 250K output

ModelBlended costDifference
GPT-6 Sol$4.50Cheaper
Claude Sonnet 4.6$6.75+$2.25

Three workloads, two bills

WorkloadGPT-6 SolClaude Sonnet 4.6Winner
Support chat
1,000 requests · 4K input / 600 output
$14$21GPT-6 Sol
RAG with caching
1,000 requests · 50K input (45K cached) / 1K output
$29.10$43.66GPT-6 Sol
Nightly batch job
10,000 requests · 10K input / 2K output
$200$300GPT-6 Sol

Which one should you pick?

GPT-6 Sol wins on support chat, cached RAG, nightly batch job, while Claude Sonnet 4.6 wins on none of the three workloads above.

Beyond price, the two differ on input rate ($2 vs $3); output rate ($10 vs $15); cached-input rate ($0.20 vs $0.30); cache-write rate ($2.50 vs $3.75); context window (1,050,000 vs 1,000,000); long-context tier (yes, above 272,000 vs none).

Batch mode is available on GPT-6 Sol and Claude Sonnet 4.6, which halves the nightly job. Both publish cached-input discounts, so a stable system prompt is worth caching on either.

FAQ

Is GPT-6 Sol cheaper than Claude Sonnet 4.6?

On a blended 1M-input-plus-250K-output workload, GPT-6 Sol is cheaper by 33% ($4.50 vs $6.75). The gap changes for cache-heavy prompts and for batch jobs, as the workload table shows.

Which handles longer prompts, GPT-6 Sol or Claude Sonnet 4.6?

GPT-6 Sol has the larger context window (1,050,000 vs 1,000,000 tokens). Watch the long-context threshold on GPT-6 Sol: rates rise once input passes it.

Do both models support prompt caching?

GPT-6 Sol bills cached reads at $0.20 per 1M; Claude Sonnet 4.6 at $0.30.

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