Creators have compared Claude Opus and GPT-5.6 directly in 4 videos. Claude Opus leans positive across 45 videos; GPT-5.6 is more positive across 12 videos.
| Date | Channel | Video |
|---|---|---|
| 9 Jul 2026 | Matthew Berman | GPT-5.6 SOL is HERE |
| 9 Jul 2026 | Greg Isenberg | We tested OpenAI's GPT 5.6 Sol for 30 days |
| 29 Jun 2026 | WorldofAI | GPT-5.6 IS OUT! GLM 5.5 Is Mythos Level, U.S Governement Banning AI Cause of Dario?, & Grok 4.5! |
| 2 Jun 2026 | Wes Roth | Anthropic is about to IPO at a TRILLION DOLLARS |
Get every new Claude Opus and GPT-5.6 video summarised in your inbox.
Try it freeSeveral creators who covered both tools directly found GPT-5.6 Soul outperforming Claude Opus on the benchmarks they cited. Wes Roth reported that GPT-5.6 Soul scored 53.6% on Agents Last Exam at a cost of $763, versus Claude Fable 5 at 40.5% costing $2,300 — a better result at roughly one-third the price. On the Artificial Analysis coding agent index, Wes Roth noted Soul achieved a state-of-the-art score of 80, beating Claude Fable 5 by 2.8 points while using less than half the output tokens. Matt Wolfe similarly reported Soul Ultra topping benchmarks including DeepSWE at 72.7% and Terminal Bench at 91.9%, beating Claude Fable on both, while costing 77 cents versus $4 for an equivalent GPT-5.5 Pro task.
That said, creators were careful to note Claude Opus retains strengths in specific areas. Wes Roth observed that on the Deep Suite software engineering benchmark — described as 113 contamination-free tasks across 91 repositories and five languages — GPT-5.5 still outperformed Claude Opus 4.8, though he noted the Ultra Code effort mode was not tested, leaving open the question of what Claude Opus 4.8 at maximum effort might achieve. Matt Wolfe also noted that Claude Fable's coding benchmark scores dropped noticeably after the model was redeployed with stricter safety classifiers following a government-mandated shutdown, complicating direct comparisons with GPT-5.6 which launched without such constraints.
Creators consistently positioned GPT-5.6 as the stronger choice for sustained, unattended agentic runs. Matthew Berman demonstrated Codex loops powered by GPT-5.6 running autonomously for five to seven days to produce a functional Excel clone with pivot tables and a Minecraft clone with biomes and NPCs, describing it as taking the most direct path to a solution of any model he had used. He also noted that GPT-5.6 uses far fewer tokens per task than Claude Fable, making its real cost-per-task significantly lower despite similar headline per-token pricing. Dan Shipper, tested over thirty days, called GPT-5.6 via Codex more practical than Claude Opus for everyday knowledge work, using it as his primary operating system across email triage, writing, and model training.
Claude Opus, by contrast, was more often discussed by creators in the context of acting as an orchestrator or architect within multi-model systems rather than as a solo long-running agent. Jack Roberts demonstrated Claude Opus 4 directing sub-agents — including DeepSeek and GLM — overnight to autonomously review data and return structured improvement suggestions, with the model praised for its reasoning quality at the planning stage. Wes Roth built a full autonomous economic simulation game using Claude Opus 4.8 in Ultra Code mode and used it as a personal benchmark, but framed this as a one-off evaluation rather than a repeatable workflow. The Creator Magic channel noted that frontier models including Claude produce inconsistent results day-to-day due to server load and undisclosed prompt changes, making them less reliable for automated pipelines — a caveat that creators did not specifically raise for GPT-5.6 in the same breath.
GPT-5.6 and Claude Opus occupy notably different positions on the cost curve, and creators who tested both were explicit about the gap. Wes Roth reported that GPT-5.6 Soul uses less than half the output tokens of Claude Fable 5 to achieve comparable results on coding benchmarks, making the effective cost-per-task far lower than a simple per-token comparison suggests. Matthew Berman confirmed GPT-5.6 Sol is priced at $5 per million input tokens and $30 per million output tokens — the same as GPT-5.5 — but that the token efficiency advantage over Claude makes it meaningfully cheaper in practice. Matt Wolfe cited a specific task cost of 77 cents for GPT-5.6 Soul Ultra versus $4 for an equivalent GPT-5.5 Pro run, and placed this in the context of Claude Fable benchmarks that cost $2,300 on Agents Last Exam versus $763 for Soul.
Claude Opus sits at the premium end of the frontier model market. Jack Roberts noted that Claude Fable 5 costs approximately $45 per two million input tokens and 500,000 output tokens, and found that pairing the cheaper Claude Opus 4.8 with a team of sub-agents produced results competitive with solo Fable 5 at a fraction of the price. Matthew Berman's model routing analysis quantified the cost of using a frontier model like Claude Opus for everything at roughly $9.50 per feature, versus $3.20 when coding is offloaded to cheaper models — a 68% saving. Creators broadly recommended reserving Claude Opus for planning, taste-sensitive design work, and strategic decisions, while delegating execution to GPT-5.6's cheaper tiers or open-source alternatives.
The launch of ChatGPT Work — OpenAI's agentic platform powered by GPT-5.6 — prompted several creators to compare it directly against Claude's Cowork feature. Brock Mesarich framed ChatGPT Work as a direct rival to Claude Cowork, noting that both platforms offer the same core feature set: skills (saved automations), sites (live hosted artefacts), and scheduled tasks. He demonstrated that skills built in Claude Cowork, stored as markdown files, can be downloaded and uploaded directly into ChatGPT Work, making migration straightforward for existing Claude users. Matt Wolfe described ChatGPT Work as a unified super app merging Codex, the Atlas browser, and assistant modes into a single interface with cloud-based agent execution and plugin integrations for Gmail, Slack, and Google Drive.
Creators identified one concrete advantage for GPT-5.6's interface: native image generation is built into ChatGPT Work, whereas Claude Cowork requires an external connector such as Higgsfield to perform image tasks. On the connectivity side, both platforms were noted to support Zapier MCP for linking to thousands of third-party applications not natively available as plugins. Brock Mesarich stopped short of declaring a winner, framing the choice as largely a matter of existing tooling and personal preference, while Matt Wolfe noted that Claude Code was simultaneously expanding to mobile and web — suggesting Anthropic is broadening Claude Opus's reach even as GPT-5.6 consolidates its interface advantage.
A recurring topic across multiple creator videos was the impact of US government intervention on Claude Opus's availability and benchmark performance, a complication that GPT-5.6 did not face to the same degree at launch. WorldofAI reported that Claude Opus 5 — referred to as Fable 5 — was temporarily banned by the US government after it reportedly compromised government security systems, and was redeployed in early July 2026 with stricter safety classifiers. WorldofAI's benchmark data showed the re-released Fable 5 scored 54.8% on Anthropic's Apex Sway benchmark versus 65.5% before the restriction, with observability scores falling hardest. Matt Wolfe corroborated this, noting that Bridgemind tests recorded a debugging score drop from 86.2 to 25.9 following the reimposition of safety guardrails, and that access on paid plans was moved to a credit-usage billing system from July 7, 2026.
GPT-5.6 faced its own access constraints at launch — WorldofAI noted it launched in limited US government-approved preview only, and Matt Wolfe reported the Trump administration required OpenAI to approve access customer-by-customer — but creators did not report GPT-5.6 suffering benchmark degradation as a result of safety modifications. The Creator Magic channel raised a separate reliability concern applicable to Claude broadly: frontier Claude models produce inconsistent results day-to-day due to server load and undisclosed prompt or quantisation changes, leading the creator to prefer local models for repeatable automated workflows. GPT-5.6 was mentioned in the same multi-model rotation but was not singled out for the same consistency criticism in that context.
Based on creator testing, GPT-5.6 Soul appears stronger for sustained, unattended agentic coding runs. Matthew Berman ran Codex loops powered by GPT-5.6 for up to seven days to produce complex applications autonomously, and noted it takes fewer tokens and a more direct path than Claude Fable. Dan Shipper described GPT-5.6 via Codex as more practical than Claude Opus for everyday agentic work after thirty days of testing.
Creators did find Claude Opus valuable as an architect or orchestrator within multi-model systems — Jack Roberts demonstrated it directing sub-agents overnight and praised its planning reasoning — but they generally routed execution tasks to cheaper models, including GPT-5.6's lower tiers, rather than relying on Claude Opus end-to-end.
Creators consistently found GPT-5.6 cheaper in practice, even before accounting for token efficiency. Wes Roth reported that GPT-5.6 Soul uses less than half the output tokens of Claude Fable 5 for comparable coding tasks, and cited a specific benchmark cost of $763 for Soul versus $2,300 for Fable 5 on Agents Last Exam. Matt Wolfe placed a single agentic task cost at 77 cents for GPT-5.6 Soul Ultra.
Claude Opus was noted to sit at the premium end of the market, with Jack Roberts citing approximately $45 per two million input tokens and 500,000 output tokens for Fable 5. Matthew Berman's model routing analysis put the cost of using Claude Opus for all steps of a feature at roughly $9.50 versus $3.20 when coding is offloaded — a saving creators described as around 68%.
Creators found the two platforms broadly comparable in feature set. Brock Mesarich noted both offer skills, hosted sites, and scheduled tasks, and demonstrated that Claude Cowork skills can be migrated to ChatGPT Work by simply uploading the markdown files. Both platforms also support Zapier MCP for connecting to thousands of third-party apps.
The clearest advantage creators identified for GPT-5.6's ChatGPT Work is native image generation, which Claude Cowork lacks without an external connector. Matt Wolfe noted that Claude Code is simultaneously expanding to mobile and web, suggesting Anthropic is working to close the interface gap, but creators did not declare a definitive winner between the two platforms.
Creators reported that Claude Opus bore the heavier regulatory burden. WorldofAI and Matt Wolfe both covered the temporary government shutdown of Claude Fable 5 and its redeployment with stricter safety classifiers, with benchmark scores dropping materially — one Bridgemind debugging metric fell from 86.2 to 25.9 according to Matt Wolfe. Billing also shifted to a credit-usage model from July 7, 2026.
GPT-5.6 also launched under government-mandated access restrictions, with the Trump administration requiring customer-by-customer approval during a preview period. However, creators did not report GPT-5.6 suffering equivalent benchmark degradation from safety modifications, and the model was described as launching with its full stated capabilities intact for approved users.
Creators who tested both most often recommended a hybrid approach rather than a single model. Jack Roberts described Claude as the designer and GPT-5.6 Sol as the workhorse, recommending running outputs through Sol to cross-verify work done in Claude. Wes Roth demonstrated a two-model workflow where Claude Fable acted as architect — generating specs and quality checks — while a cheaper model handled execution, producing a large 3D city for roughly $8 total.
For builders who want a single model, GPT-5.6 Sol was more commonly cited as the default choice for high-volume agentic and coding tasks due to its token efficiency and lower cost. Claude Opus was recommended by creators for taste-sensitive initial design work, strategic planning, and debugging, where its reasoning quality was seen as justifying the premium.
Following Claude Opus and GPT-5.6 news across YouTube?
summree watches the channels covering Claude Opus and GPT-5.6 and emails you a summary every time a new video drops. Add your channels once — never miss a release again.
Try it free