I Tested GPT 5.5 vs Opus 4.7: What You Need to Know
The creator tests GPT 5.5 against Claude Opus 4.7 across four agentic coding experiments, finding that GPT 5.5 is roughly twice as fast and uses dramatically fewer output tokens. Despite GPT 5.5's doubled price compared to GPT 5.4, total costs came out roughly even or slightly cheaper than Opus 4.7 across all four tests.
Summary
The video opens with a breakdown of GPT 5.5's release details. OpenAI positions it as their smartest and most intuitive model to date, codenamed 'Spud' during leaks, and describes it as a purpose-built step toward AGI and enterprise computing. The core pitch is not that it's better at everything, but that it 'does more with less' — fewer output tokens per task, less handholding, and greater autonomy. Benchmark results shown include Terminal Bench 2.0 (GPT 5.5: 82.7 vs Opus 4.7: 69.4), and GPT 5.5 outperforming Opus 4.7 on GDP Val, Frontier Math, and Cyber Gym. However, the creator notes that SWE-Bench Pro still belongs to Claude Opus 4.7. A key caveat flagged is that GPT 5.5's price doubled relative to GPT 5.4, going from $2.50/$15 to $5/$30 per million tokens input/output, making it slightly more expensive on output than Opus 4.7 — though the claimed token efficiency is supposed to offset this.
The creator then runs four one-shot coding experiments comparing GPT 5.5 via Codex against Claude Opus 4.7 via Claude Code, acknowledging this is partly an agentic harness comparison and not purely a model comparison. Experiment one was building a personal brand website. GPT 5.5 finished in ~4 minutes vs Opus's ~14 minutes and cost roughly $1 vs $5. Experiment two was a solar system simulation. Timing was closer, with Opus finishing about a minute later, but Opus produced a better visual result and was about $1 cheaper, giving Opus the win for that round. Experiment three was a 3D space shooter game. GPT 5.5 produced a smoother, more playable result in less time and at lower cost (~$3 vs ~$4.50), with the creator clearly preferring its output. Experiment four was a complex living ecosystem simulation with a much longer prompt. Both models produced outputs with broken logic — creatures wouldn't interact correctly with food and populations stagnated — making this round essentially a tie on quality, though GPT 5.5 used dramatically fewer output tokens (~28k vs much higher for Opus).
In aggregate across all four experiments, GPT 5.5's total runtime was ~21 minutes vs Opus's ~41 minutes. Input tokens were similar (~2.7M vs ~2.5M), but output tokens were starkly different (~70k for GPT 5.5 vs ~250k for Opus). Total cost came out roughly even, with GPT 5.5 being about $3 cheaper overall. The creator concludes that GPT 5.5 consistently occupied the more favorable position across speed and token efficiency metrics, and encourages viewers to test models against their specific use cases rather than chasing whichever model appears best on benchmarks.
Key Insights
- The creator argues that GPT 5.5's core pitch is not that it's better at everything, but that it 'does more with less' — using fewer output tokens per task with greater autonomy, which is the specific claim he set out to test experimentally.
- Despite GPT 5.5's output token price being slightly higher than Opus 4.7 ($30 vs $25 per million), the creator's experiments showed GPT 5.5 used only ~70,000 total output tokens across four tasks compared to Opus 4.7's ~250,000, making it cheaper in practice.
- The creator notes that SWE-Bench Pro — which tests resolving real GitHub issues — still belongs to Claude Opus 4.7, and uses this to argue why running your own experiments matters more than trusting benchmark sheets alone.
- Across all four one-shot experiments, GPT 5.5's total runtime was roughly 21 minutes versus Opus 4.7's 41 minutes — approximately double the speed — while total costs came out nearly even, with GPT 5.5 only about $3 cheaper overall.
- The creator flags that GPT 5.5's price doubled compared to GPT 5.4 (from $2.50/$15 to $5/$30 per million tokens), and warns founders and creators to carefully examine their unit economics before switching from GPT 5.4 to GPT 5.5.
Topics
Transcript
[0:00] So, OpenAI just dropped GPT 5.5 and it is really solid. But the question is how solid is it? And the other question is, is it more expensive and how does it compare to Opus 4.7? Because obviously you can look at the benchmarks which there are some pretty impressive things especially when you are comparing it to Opus 4.7. But of course, what we want to do is actually get in there and get our hands dirty. So, I ran a bunch of experiments and I'm going to share with you guys what actually matters when you think about the cost and the speed of these different models. So, we'll come back here to the results and to…
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