Head to head

GPT-4o vs Mistral Large 3

GPT-4o (OpenAI) and Mistral Large 3 (Mistral) compared on intelligence, speed, context, and price — and which to choose. Both run on just4o.chat from one chat.

MetricGPT-4oMistral Large 3
Intelligence (AA index)1116
Output speed (tokens/sec)212.149.1
Context window128K256K
Max output
Input price / 1M$2.5$0.5
Output price / 1M$10$1.5
Released2024-05-132025-12

Choose GPT-4o if you want…

  • Faster output (~212.1 tokens/sec)

Choose Mistral Large 3 if you want…

  • Higher intelligence (Artificial Analysis index 16)
  • Lower price ($0.75 / 1M blended)
  • Larger context window (256K)

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 →

Mistral Large 3

Mistral Large 3 is the French lab's flagship dense model, and on just4o.chat it runs through the Vercel AI Gateway under the mistral/mistral-large-3 route. It pairs strong general reasoning with the multilingual fluency Mistral is known for — European languages in particular — and reliable function calling for tool-driven workflows. A 256k-token context window is roomy enough for long documents, multi-file code, or extended chats without truncation, and at $0.50 per million input and $1.50 per million output tokens it sits at the affordable end of frontier-class models. On just4o.chat it is a base-tier model available on every plan, billed at 2 base requests per send before length multipliers. One practical note worth flagging up front: like the rest of the Mistral lineup here, it has no native web search, and it is text-only — no image input. For teams that want a capable, cost-disciplined generalist with first-rate multilingual handling, it is an easy default.

Full Mistral Large 3 details →

FAQ

Which is better, GPT-4o or Mistral Large 3?

Mistral Large 3 leads on 3 of the headline metrics (higher intelligence (artificial analysis index 16); lower price ($0.75 / 1m blended); larger context window (256k)), while GPT-4o wins on faster output (~212.1 tokens/sec). The right pick depends on your priorities.

Is GPT-4o or Mistral Large 3 cheaper?

Mistral Large 3 is cheaper at $0.75 per 1M tokens (blended), versus $4.38.

Can I use both GPT-4o and Mistral Large 3?

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