Head to head

GPT-5.1 vs Mistral Large 3

GPT-5.1 (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-5.1Mistral Large 3
Intelligence (AA index)3916
Output speed (tokens/sec)11149.1
Context window400K256K
Max output128K
Input price / 1M$1.25$0.5
Output price / 1M$10$1.5
Released2025-112025-12

Choose GPT-5.1 if you want…

  • Higher intelligence (Artificial Analysis index 39)
  • Faster output (~111 tokens/sec)
  • Larger context window (400K)

Choose Mistral Large 3 if you want…

  • Lower price ($0.75 / 1M blended)

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 →

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-5.1 or Mistral Large 3?

GPT-5.1 leads on 3 of the headline metrics (higher intelligence (artificial analysis index 39); faster output (~111 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-5.1 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-5.1 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.