Creators have compared GPT-5.5 and GPT-5.6 directly in 2 videos. GPT-5.5 leans neutral across 9 videos; GPT-5.6 is more positive across 12 videos.
| Date | Channel | Video |
|---|---|---|
| 9 Jul 2026 | Matthew Berman | Everything you NEED to know about GPT-5.6 |
| 2 Jun 2026 | Wes Roth | Anthropic is about to IPO at a TRILLION DOLLARS |
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Try it freeSeveral creators who reviewed both models directly report a notable pricing shift with GPT-5.6's arrival. Matthew Berman notes that GPT-5.6 Soul is priced at $5 per million input tokens and $30 per million output tokens — figures that are identical to GPT-5.5's launch pricing — yet argues this makes GPT-5.5 effectively obsolete overnight, since GPT-5.6 Sol accomplishes the same tasks using far fewer tokens. In his earlier coverage, Berman had highlighted GPT-5.5's own pricing as a step up from GPT-5.4, noting it was double the cost but partially offset by token efficiency; GPT-5.6 repeats and extends that pattern.
Matt Wolfe reinforces the cost-per-task framing, reporting that a GPT-5.6 Soul Ultra task costs roughly 77 cents versus $4 for an equivalent GPT-5.5 Pro task — a difference he frames as one of the most consequential practical distinctions between the two generations. Across the Luna tier, Wolfe and Berman both cite $1 per million input tokens and $6 per million output tokens, positioning the lower GPT-5.6 tiers as competitive even with third-party models like Grok 4.5.
The WorldofAI channel corroborates this, reporting Terra is approximately twice as cheap as GPT-5.5 on a per-token basis, and that Luna sits at $1/$6 per million tokens. Taken together, creators consistently characterise GPT-5.5 as the costlier option at equivalent quality, with GPT-5.6's multi-tier structure giving builders more granular cost control than GPT-5.5's single pricing tier offered.
Creators who discuss both models frame GPT-5.6 as a generational step forward for unattended, long-horizon agentic work. Matthew Berman ran six-day unattended Codex loops using GPT-5.6 Sol to produce a Minecraft clone with biomes and NPCs, a fully functional Excel clone built by having Codex use computer-use to navigate the real Excel application, and a Rube Goldberg physics game — describing Sol as taking the most direct path to a solution of any model he has used. By contrast, Berman's earlier coverage of GPT-5.5 presented it as a strong coding model suited to back-end and architectural work, but did not report multi-day autonomous runs of comparable scope.
Dan Shipper, who tested GPT-5.6 for thirty days via Greg Isenberg's channel, describes using Codex with GPT-5.6 as his primary operating system for all knowledge work, building a personal email triage app and a company pulse feed in sessions he characterises as more practically useful than working with Claude Opus 4 (Fable). His framing implicitly positions GPT-5.5 as a capable but less agent-native predecessor, whereas GPT-5.6 is described as purpose-built for the kind of persistent, context-accumulating workflows that define modern AI-assisted development.
The Creator Magic channel similarly integrates GPT-5.6 into a two-model chain for real-time stream clipping, cycling it alongside Claude, Gemini, and Grok — a role that requires reliable, repeatable autonomous behaviour. Creators do not report equivalent multi-day autonomous build runs attributed specifically to GPT-5.5, suggesting the community views GPT-5.6 as the more capable option for extended agentic tasks, though GPT-5.5 retains mention as a strong performer on benchmark suites such as Deep Suite software engineering tasks.
On formal benchmarks, creators report GPT-5.6 Soul Ultra pulling ahead of GPT-5.5 across several key evaluations. Matt Wolfe cites GPT-5.6 Soul Ultra scoring 72.7% on DeepSWE and 91.9% on Terminal Bench, beating both Claude Fable and Grok 4.5; by comparison, GPT-5.5 had previously been noted by Wolfe as the top-ranked model on the Artificial Analysis composite intelligence index with an 82.7% Terminal Bench score — a figure that GPT-5.6 Soul Ultra now surpasses by a meaningful margin.
The WorldofAI channel places GPT-5.5 at 83.3% on Terminal Bench (tied with Grok 4.5 in their testing), while Matthew Berman's Box AI enterprise benchmark data shows GPT-5.6 Sol outperforming GPT-5.5 at 63.3% accuracy on knowledge-work tasks. Wes Roth notes that on the Deep Suite benchmark — 113 contamination-free software engineering tasks — GPT-5.5 still outperformed Claude Opus 4.8 at the time of his coverage, suggesting GPT-5.5 remained competitive at the frontier even as GPT-5.6's launch was being rumoured.
Creators generally characterise the leap from GPT-5.5 to GPT-5.6 as meaningful but contextual: GPT-5.5 is still described as a capable model for back-end and architectural coding tasks by reviewers such as Chris on the Build Great Products channel, who recommends reserving it specifically for that role even after GPT-5.6 arrives. The consensus picture is that GPT-5.6 leads on headline benchmarks while GPT-5.5 retains a credible niche reputation among builders who have already calibrated their workflows around it.
One of the most concrete architectural distinctions creators highlight between the two generations is context window size. The WorldofAI channel and the GPT-5.6 Is Out coverage both report GPT-5.6 launching with a 1.5 million token context window across all three tiers — Soul, Terra, and Luna. Wes Roth, covering pre-launch rumours, flagged the potential 1.5 million token window as one of the headline improvements expected from GPT-5.6 over its predecessor. GPT-5.5, by contrast, is not credited by any creator in the corpus with a comparable context figure, and is discussed primarily in terms of its reasoning quality and per-token cost rather than raw context capacity.
The multi-tier structure of GPT-5.6 is also presented by creators as a meaningful departure from GPT-5.5's architecture. Matthew Berman explains that Luna (small), Terra (medium), and Sol (large) each support multiple reasoning levels up to Ultra, enabling builders to tune cost and performance at a granularity GPT-5.5 did not offer. Matt Wolfe echoes this framing, describing the Soul, Terra, and Luna tiers as enabling a routing strategy where Sol handles planning and hard problems whilst Terra or Luna handle execution — a pattern Berman's open-source relay skill (published on GitHub) is explicitly designed to automate.
Creators note that this tiered architecture makes GPT-5.6 more amenable to the model-routing cost strategies that have become popular in the builder community. Matthew Berman's separate coverage of model routing illustrates how GPT-5.5, as a single-tier frontier model, required pairing with entirely different third-party models to achieve cost savings; GPT-5.6's internal tiers allow builders to stay within one model family whilst still capturing significant efficiency gains.
Creators note a significant difference in how the two models reached builders. GPT-5.5 launched as a widely available model that Matt Wolfe described as his favourite LLM for nearly everything, and which multiple reviewers incorporated into routing workflows, critic roles in multi-model triads, and everyday IDE use without any reported access restrictions. GPT-5.6, by contrast, launched under US government oversight: Matt Wolfe and the WorldofAI channel both report that the Trump administration required OpenAI to approve GPT-5.6 access customer-by-customer during a preview period, with Wolfe noting Altman confirmed this in a staff memo.
Despite the gated rollout, creators who gained access were positive about GPT-5.6's integration into platform tooling. The new ChatGPT Work super app — covered by both Brock Mesarich and Matt Wolfe — is described as powered by GPT-5.6 and merging Codex, an Atlas browser, and assistant modes into a single interface; GPT-5.5 had no equivalent unified product wrapper. Dan Shipper reports using Codex with GPT-5.6 as a full operating system, leveraging browser control for DNS migrations and database scaling — capabilities creators do not attribute to GPT-5.5 in comparably integrated form.
The Creator Magic channel illustrates how GPT-5.6 fits into multi-model production pipelines alongside Claude, Gemini, and Grok, whilst GPT-5.5 appears in the corpus more often as a standalone workhorse or a critic model in triad configurations. Several reviewers observe that GPT-5.5's role in builder workflows may shift to that of a cheaper, already-familiar fallback as GPT-5.6 becomes more broadly accessible, though none declare GPT-5.5 redundant for teams that have not yet gained GPT-5.6 preview access.
Creators consistently say yes, despite similar headline per-token pricing. Matthew Berman reports that GPT-5.6 Sol uses far fewer tokens per task than GPT-5.5, making its real cost-per-task significantly lower. Matt Wolfe puts a concrete figure on this, citing roughly 77 cents for a GPT-5.6 Soul Ultra task versus $4 for an equivalent GPT-5.5 Pro task. The WorldofAI channel adds that GPT-5.6 Terra is approximately twice as cheap as GPT-5.5 on a per-token basis, and Luna sits at $1 per million input tokens — well below GPT-5.5's rate.
Based on creator reports, GPT-5.6 appears to hold the advantage for long-horizon agentic coding. Matthew Berman ran six-day unattended Codex loops with GPT-5.6 Sol producing a Minecraft clone and a functional Excel clone, describing Sol as taking the most direct path to a solution of any model he has used. Dan Shipper similarly uses GPT-5.6 via Codex as his primary operating environment for all knowledge work. Creators do not report comparable multi-day autonomous build runs attributed specifically to GPT-5.5, though the Build Great Products channel notes GPT-5.5 remains a strong choice for back-end and architectural coding tasks.
Creators report GPT-5.6 Soul Ultra leading on the benchmarks covered in the corpus. Matt Wolfe cites GPT-5.6 Soul Ultra at 91.9% on Terminal Bench and 72.7% on DeepSWE; GPT-5.5 had previously scored 82.7% on Terminal Bench, which Wolfe described as the top score at the time of its launch. Matthew Berman's enterprise benchmark data shows GPT-5.6 Sol outperforming GPT-5.5 on knowledge-work accuracy. Wes Roth noted GPT-5.5 still outperformed Claude Opus 4.8 on the Deep Suite software engineering benchmark around the time GPT-5.6 was being rumoured, suggesting GPT-5.5 remained competitive at the frontier immediately before GPT-5.6's release.
Creators report that GPT-5.6 is available through Codex and the new ChatGPT Work super app, and has been integrated into multi-model pipelines alongside Claude and Gemini by builders such as the Creator Magic channel. However, several reviewers note that GPT-5.6 launched with a government-mandated customer-by-customer approval process during its preview period, which GPT-5.5 did not face. GPT-5.5 appears more widely accessible across tools like Cursor, Claude Code-adjacent routing workflows, and third-party triad configurations at the time covered by the corpus.
Creators report GPT-5.6 launching with a 1.5 million token context window across all three tiers — Soul, Terra, and Luna — based on coverage from the WorldofAI channel and the GPT-5.6 Is Out source. Wes Roth flagged this figure as one of the anticipated improvements before the model launched. No creator in the corpus attributes a comparable context window figure to GPT-5.5, which is discussed primarily in terms of reasoning quality and per-token pricing rather than raw context capacity.
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