Head to head

GPT-4o vs Grok 4.3

GPT-4o (OpenAI) and Grok 4.3 (xAI) compared on intelligence, speed, context, and price — and which to choose. Both run on just4o.chat from one chat.

MetricGPT-4oGrok 4.3
Intelligence (AA index)1753
Output speed (tokens/sec)198.3168.7
Context window128K1M
Max output1M
Input price / 1M$2.5$1.25
Output price / 1M$10$2.5
Released2024-05-132026-04

Choose GPT-4o if you want…

  • Faster output (~198.3 tokens/sec)

Choose Grok 4.3 if you want…

  • Higher intelligence (Artificial Analysis index 53)
  • Lower price ($1.56 / 1M blended)
  • Larger context window (1M)

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 →

Grok 4.3

Grok 4.3 made a deliberate trade: xAI stopped chasing frontier performance and built something more practical instead. The result is a model that earns its keep through native X/Twitter integration — pulling posts seconds old when news breaks — and a 1 million token context window that handles entire codebases or lengthy regulatory documents in a single pass. At $1.25 per million input tokens, it arrives 40-60% cheaper than its predecessor Grok-4, and users find real value in its DeepSearch mode, which combines live web data with X discussions in a way that rivals Perplexity for current-events research. Frontend developers report genuinely polished web UI output, moving past the "cheap AI demo" look. The honest trade-off: creative writers consistently find it too literal and verbose, and its 16-second time-to-first-token sits at the high end for reasoning models in this price range. If your work is anchored in real-time information or long-document analysis rather than narrative craft, Grok 4.3 offers a focused, cost-sensible tool.

Full Grok 4.3 details →

FAQ

Which is better, GPT-4o or Grok 4.3?

Grok 4.3 leads on 3 of the headline metrics (higher intelligence (artificial analysis index 53); lower price ($1.56 / 1m blended); larger context window (1m)), while GPT-4o wins on faster output (~198.3 tokens/sec). The right pick depends on your priorities.

Is GPT-4o or Grok 4.3 cheaper?

Grok 4.3 is cheaper at $1.56 per 1M tokens (blended), versus $4.38.

Can I use both GPT-4o and Grok 4.3?

Yes. Both are available on just4o.chat from a single chat — you can switch between them per message with no separate subscriptions.