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July 2026 analysis: GPT-5.6 Sol pricing: the frontier tier with an output premium

Historical analysis, July 2026. The article below preserves its original rate assumptions and task exhibits. Current OpenAI Standard rates, verified September 17, 2026, for up to 272K input tokens: Sol $4/$20, Terra $2/$12, Luna $0.20/$1.20 per million input/output tokens. Sol promotional through November 21, 2026. See current rates. The comparison widget uses current rates and separately dated measurements.

Sol is OpenAI's frontier tier at $5 input / $30 output per million tokens. The input price ties Claude Opus 5 exactly; the output price runs 20% higher, and since generation-heavy work is output-heavy, that gap is bigger than it looks on the rate card.

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$5 / $30
per million tokens in / out, launched July 9, 2026 with the Sol / Terra / Luna family
+20%
Sol's output premium over Claude Opus 5's $25. Output is where generation workloads live
1.05M
token context window across the GPT-5.6 family, with 128K max output

GPT-5.6 Sol costs $5 per million input tokens and $30 per million output as of July 2026. The input price ties Claude Opus 5; the output price runs 20% higher. Cache reads keep the 90% input discount, and cache writes cost 1.25x uncached input, about $6.25 per million.

How much does GPT-5.6 Sol cost?

$5 per million input tokens, $30 per million output (OpenAI pricing reference). Cache reads keep the 90% input discount; writing new cache costs 1.25x uncached input, so a Sol cache write runs $6.25/M. The family launched July 9, 2026 sharing a 1.05M-token context window and 128K max output.

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The output-token catch

Frontier comparisons usually stop at the tied $5 input price. The bills do not: code generation, long-form writing, and agentic tool use are output-heavy, and on output Sol charges $30 against Opus 5's $25. Applied to our measured dashboard task's token profile, the same generation runs about $0.0788 at Sol list versus the $0.1158 we metered on Opus 5 and $0.0724 on Opus 4.8: which also shows why per-model verbosity matters as much as the rate card. We cannot meter Sol directly yet (no OpenAI account on our bench); the Sol figure is list math on our measured token counts, labeled as such.

Sol vs the market

ModelInput $/MOutput $/MPosition
Claude Fable 5$10.00$50.00premium tier above every frontier option
GPT-5.6 Sol$5.00$30.00OpenAI frontier
Claude Opus 5$5.00$25.00the direct rival: tied input, cheaper output
GPT-5.6 Terra$2.50$15.00the step down inside OpenAI

Full ladder with measured per-task bills in the market breakdown.

When Sol is the right buy anyway

Price is one column. If your stack is OpenAI-native, your prompts are tuned to the family, and Sol clears failure cases the cheaper tiers do not, a 20% output premium is cheaper than a migration. The expensive mistake is the same one everywhere on this ladder: paying frontier rates on the large fraction of traffic that a mid tier handles identically. That allocation problem is the one we publish benchmark scores on.

GPT-5.6 Sol pricing questions, answered

Is GPT-5.6 Sol more expensive than Claude Opus 5?

On output, yes: $30 versus $25 per million, with input tied at $5. On full bills it depends on each model's verbosity for your prompts, which is why measured task costs beat rate-card math.

What do Sol's caching discounts actually do?

Cache reads bill at 10% of input ($0.50/M), and cache writes cost 1.25x uncached input ($6.25/M). Stable system prompts and shared context make the read discount dominate; churning your cache makes the write premium eat it.

What is the difference between Sol, Terra, and Luna?

Capability tiers of the same July 2026 family: Sol is frontier ($5/$30), Terra mid ($2.50/$15), Luna volume ($1/$6), sharing the 1.05M context window. Most production mixes belong on Terra or Luna with escalation, not on Sol by default.

Is there a Sol equivalent to Anthropic's Fable 5?

No. OpenAI's ladder currently tops out at Sol; Fable 5 occupies a premium tier above every frontier option at $10/$50. Fable-class workloads have no direct OpenAI swap today.

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List rates and dated competitor measurements: prices and measured bills. Pareto 26.9 measured task costs are not published. Verbosity: Edition 2.

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