Claude Computer Use Review: Hands-On Testing (2026)
OpenAI finally released GPT-5, and I’ve been using it daily for the past two months. The marketing promises were big: “human-level reasoning,” “true understanding,” “revolutionary agents.”
The reality is more nuanced. GPT-5 is genuinely better than GPT-4 in measurable ways, but it’s not the AGI breakthrough some predicted. Here’s my honest assessment after extensive real-world testing.
Quick Verdict: ChatGPT 5 / GPT-5
Aspect Rating Overall Score ★★★★☆ (4.5/5) Best For Multimodal tasks, complex conversations, agentic workflows Pricing Plus $20/month / API $8/$24 per 1M tokens Reasoning Significantly improved Multimodal Excellent Agent Capabilities Much better than GPT-4 Speed Faster than GPT-4 Turbo Bottom line: GPT-5 is a meaningful upgrade, the best version of ChatGPT yet. Reasoning improvements are real, but it’s evolution, not revolution. Claude Opus 4.5 still wins on some tasks. The AI field remains competitive.
The headline improvement. GPT-5 handles multi-step logical problems better than any previous GPT model.
What I’ve observed:
Comparison test: Same 50 reasoning problems across models:
| Model | Accuracy | Self-Correction Rate |
|---|---|---|
| GPT-4 Turbo | 72% | 15% |
| GPT-4o | 75% | 18% |
| GPT-5 | 86% | 34% |
| Claude Opus 4.5 | 89% | 38% |
GPT-5 is substantially better than GPT-4. Claude Opus still edges ahead on pure reasoning, but the gap has narrowed considerably.
GPT-5 was trained natively on text, images, audio, and video together, not separate models stitched together.
Practical improvements:
Video understanding is the standout addition. You can upload short videos and ask questions about what happens in them, useful for analyzing tutorials, meetings, or product demos.
GPT-5’s memory system actually works now. It remembers:
The difference: With GPT-4, I constantly re-explained context. With GPT-5, it genuinely builds on previous conversations.
GPT-5’s ability to use tools and complete multi-step tasks is significantly better:
Real example: Asked GPT-5 to research competitors, compile findings, and create a comparison table. GPT-4 would lose track partway through. GPT-5 completed the full workflow reliably.
GPT-5 tracks context better over long conversations:
| Conversation Length | GPT-4 Context Retention | GPT-5 Context Retention |
|---|---|---|
| 5 turns | 95% | 98% |
| 15 turns | 75% | 92% |
| 30 turns | 50% | 85% |
| 50+ turns | 30% | 70% |
For extended work sessions, this is transformative. I can have hour-long conversations without GPT-5 forgetting what we discussed.
Combining text, images, and now video in natural workflows:
Use cases that work well:
Switching between modalities doesn’t feel like switching tools.
With improved reasoning and better tool use, GPT-5 is genuinely useful for research:
For initial research phases, GPT-5 is now competitive with specialized tools like Perplexity.
GPT-5 maintains OpenAI’s edge in creative output:
For creative work, GPT-5 remains my preference over Claude.
GPT-5’s coding improved, but Claude still leads:
| Task | GPT-5 | Claude Opus 4.5 |
|---|---|---|
| Bug detection | 82% | 91% |
| Code generation (works first try) | 78% | 86% |
| Architecture suggestions | Good | Excellent |
| Explaining complex code | Excellent | Excellent |
For serious development work, I still use Claude. GPT-5 is fine for quick scripts and explanations.
Despite improvements, GPT-5 still hallucinates. It’s better calibrated (expresses uncertainty more appropriately) but still invents plausible-sounding false information.
My observation: Hallucination rate dropped maybe 30% from GPT-4, but it’s not eliminated. Still verify important facts.
GPT-5 sometimes agrees with incorrect user statements instead of pushing back. It’s more diplomatic than GPT-4, which isn’t always good. Sometimes you need the AI to say “actually, that’s wrong.”
GPT-5 costs more than GPT-4:
| Model | Input (per 1M) | Output (per 1M) |
|---|---|---|
| GPT-4 Turbo | $10 | $30 |
| GPT-4o | $5 | $15 |
| GPT-5 | $8 | $24 |
It’s cheaper than GPT-4 Turbo but more expensive than GPT-4o. For the improvement, this pricing seems fair, but it’s not a discount.
| Factor | GPT-5 | Claude Opus 4.5 |
|---|---|---|
| Reasoning | Very Good | Excellent |
| Coding | Very Good | Excellent |
| Creative | Excellent | Very Good |
| Multimodal | Excellent | Good |
| Memory | Excellent | Limited |
| Agents | Excellent | Good |
| Price | $8/$24 | $15/$75 |
Verdict: GPT-5 wins on multimodal, memory, and agents. Claude wins on reasoning and coding. For all-around use, GPT-5 is compelling. For quality-critical text work, Claude still edges ahead.
| Factor | GPT-5 | Gemini 2.0 |
|---|---|---|
| Reasoning | Very Good | Good |
| Context length | 128K | 2M |
| Multimodal | Excellent | Excellent |
| Google integration | None | Excellent |
| Video understanding | Good | Excellent |
| Price | $8/$24 | $4/$12 |
Verdict: Gemini wins on price and context length. GPT-5 wins on reasoning and ecosystem. For Google-centric workflows, Gemini is better. Otherwise, GPT-5.
| Task | Primary Tool | Why |
|---|---|---|
| Daily assistant | GPT-5 (ChatGPT Plus) | Best all-around |
| Coding | Claude Opus 4.5 | Highest accuracy |
| Long documents | Gemini 2.0 | Context window |
| Creative writing | GPT-5 | Most engaging output |
| Quick queries | GPT-4o | Cost-effective |
With GPT-5 included, ChatGPT Plus is more valuable than ever:
What you get:
For $20/month, this is strong value if you use AI daily. No single competitor offers this combination of capabilities at this price point.
When to consider alternatives:
GPT-5 is the best ChatGPT has ever been. The improvements to reasoning, multimodal, and agents are meaningful and noticeable in daily use.
But it’s not the paradigm shift some predicted. The AI field remains competitive. Claude beats GPT-5 on some tasks, Gemini on others. The right choice depends on your specific needs.
My recommendation: If you’re happy with ChatGPT Plus, GPT-5 makes it even better. If you’ve switched to Claude, GPT-5 doesn’t necessarily pull you back (Claude’s strengths remain). The best approach is still using multiple tools for their respective strengths.
Yes, but evolutionary rather than revolutionary. Reasoning is noticeably better, multimodal is smoother, and agents are more reliable. It’s not AGI or a fundamental breakthrough; it’s a solid next step.
Depends on your use case. For coding and deep reasoning, Claude still wins. For multimodal work, agents, and creative tasks, GPT-5 is excellent. Many users benefit from having both.
API pricing is $8/$24 per million tokens (input/output), cheaper than GPT-4 Turbo but more than GPT-4o. ChatGPT Plus remains $20/month with GPT-5 included.
Yes, though less than GPT-4. It’s better at expressing uncertainty, but still creates plausible-sounding false information. Verify important facts.
128K tokens, same as GPT-4 Turbo. For larger documents, Gemini’s 2M context is the better choice.
Unknown. Historically, OpenAI moves older models to free tier as newer ones launch. Expect GPT-4o to become more widely available on free tier, with GPT-5 following eventually.
Last updated: February 2026. Features and pricing verified against OpenAI documentation.