Head to head

GPT-5 vs Mistral Large 3

GPT-5 (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-5Mistral Large 3
Intelligence (AA index)3616
Output speed (tokens/sec)87.349.1
Context window400K256K
Max output
Input price / 1M$1.25$0.5
Output price / 1M$10$1.5
Released2025-08-072025-12

Choose GPT-5 if you want…

  • Higher intelligence (Artificial Analysis index 36)
  • Faster output (~87.3 tokens/sec)
  • Larger context window (400K)

Choose Mistral Large 3 if you want…

  • Lower price ($0.75 / 1M blended)

GPT-5

GPT-5 is OpenAI's unified flagship — a single model that scales its reasoning effort up or down to match the task, rather than making you pick a separate variant. The result shows up most clearly in hard technical work: a perfect AIME 2025 score with tools, 74.9% on SWE-bench Verified, and a 1.6% error rate on medical benchmark HealthBench make it one of the more capable models available for code, math, and domain-specific research. Its 400,000-token context window handles large codebases and lengthy documents without truncation. Users consistently praise the step-up in accuracy and the meaningful reduction in hallucinations over GPT-4o. The honest caveat: GPT-5 trades warmth for precision. Early adopters widely noted that responses are shorter, cooler, and noticeably less conversational than its predecessor — a real shift if personality and back-and-forth rapport matter to your workflow. Latency is also substantial; extended reasoning produces a time-to-first-token around 68 seconds, which rules it out for anything requiring snappy replies.

Full GPT-5 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-5 or Mistral Large 3?

GPT-5 leads on 3 of the headline metrics (higher intelligence (artificial analysis index 36); faster output (~87.3 tokens/sec); larger context window (400k)), while Mistral Large 3 wins on lower price ($0.75 / 1m blended). The right pick depends on whether you prioritise capability, speed, or cost.

Is GPT-5 or Mistral Large 3 cheaper?

Mistral Large 3 is cheaper at $0.75 per 1M tokens (blended), versus $3.44.

Can I use both GPT-5 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.