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.
| Metric | GPT-5 | Mistral Large 3 |
|---|---|---|
| Intelligence (AA index) | 36 ✓ | 16 |
| Output speed (tokens/sec) | 87.3 ✓ | 49.1 |
| Context window | 400K ✓ | 256K |
| Max output | — | — |
| Input price / 1M | $1.25 | $0.5 ✓ |
| Output price / 1M | $10 | $1.5 ✓ |
| Released | 2025-08-07 | 2025-12 |
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.