Head to head
GPT-4o vs GPT-5.1
GPT-4o (OpenAI) and GPT-5.1 (OpenAI) compared on intelligence, speed, context, and price — and which to choose. Both run on just4o.chat from one chat.
| Metric | GPT-4o | GPT-5.1 |
|---|---|---|
| Intelligence (AA index) | 17 | 48 ✓ |
| Output speed (tokens/sec) | 198.3 ✓ | 142.7 |
| Context window | 128K | 400K ✓ |
| Max output | — | 128K |
| Input price / 1M | $2.5 | $1.25 ✓ |
| Output price / 1M | $10 | $10 |
| Released | 2024-05-13 | 2025-11 |
Choose GPT-4o if you want…
- Faster output (~198.3 tokens/sec)
Choose GPT-5.1 if you want…
- Higher intelligence (Artificial Analysis index 48)
- Lower price ($3.44 / 1M blended)
- Larger context window (400K)
GPT-4o
Speed is GPT-4o's defining trait. Where comparable models average 61 tokens per second, GPT-4o delivers nearly 200 — and its native audio pipeline hits 320ms response latency, making it the practical choice for voice interfaces and real-time chat. It also collapses text, image, and audio processing into a single unified model rather than routing across separate systems, which produces more coherent multimodal reasoning without the awkward handoffs. Users feel this difference acutely. When OpenAI tried to retire GPT-4o in early 2026, the backlash was fierce enough to reverse the decision — petitions, mass unsubscribe threats, and user surveys suggesting 95% found no adequate replacement. That kind of loyalty comes from how the model feels in practice: snappy, versatile, fluent across 50+ languages, and capable of web search that reasoning-focused models like o1 lack. The honest caveat: GPT-4o trades raw reasoning depth for speed. It scores below average on Artificial Analysis's Intelligence Index and struggles with complex multi-step logic. For hard reasoning or large-document tasks, newer models outclass it. For fast, general-purpose, multimodal work, few match it.
Full GPT-4o details →GPT-5.1
GPT-5.1 earns its place through adaptive reasoning — a system that genuinely calibrates effort to the task, running roughly twice as fast on straightforward queries and digging deeper on complex ones. That mechanical intelligence shows up in the benchmarks: 94% on AIME 2025, 88.1% on GPQA Diamond, and a 76.3% solve rate on SWE-Bench Verified, making it one of the more capable off-the-shelf options for serious coding and research-level math. Users consistently praise how much cleaner the code output is — fewer logic errors, better edge-case handling — and the improved tool-calling reliability makes it a practical choice for production agentic pipelines. The catch is that the Auto-routing variant has frustrated users who found it silently redirecting requests through stricter safety filters without explanation, a criticism that turned OpenAI's own Reddit launch AMA into a notable PR setback. For teams willing to pick the right variant (Instant, Thinking, or Auto) and work within a September 2024 knowledge cutoff, GPT-5.1 offers strong price-to-capability value at $1.25 per million input tokens — cheaper than its GPT-5.2 successor while covering most production needs.
Full GPT-5.1 details →FAQ
Which is better, GPT-4o or GPT-5.1?
GPT-5.1 leads on 3 of the headline metrics (higher intelligence (artificial analysis index 48); lower price ($3.44 / 1m blended); larger context window (400k)), while GPT-4o wins on faster output (~198.3 tokens/sec). The right pick depends on your priorities.
Is GPT-4o or GPT-5.1 cheaper?
GPT-5.1 is cheaper at $3.44 per 1M tokens (blended), versus $4.38.
Can I use both GPT-4o and GPT-5.1?
Yes. Both are available on just4o.chat from a single chat — you can switch between them per message with no separate subscriptions.