Head to head

DeepSeek V4 Pro vs Mistral Large 3

DeepSeek V4 Pro (DeepSeek) and Mistral Large 3 (Mistral) compared on intelligence, speed, context, and price — and which to choose. Both run on just4o.chat from one chat.

MetricDeepSeek V4 ProMistral Large 3
Intelligence (AA index)4416
Output speed (tokens/sec)88.249.1
Context window1.0M256K
Max output384K
Input price / 1M$0.435$0.5
Output price / 1M$0.87$1.5
Released2026-04-242025-12

Choose DeepSeek V4 Pro if you want…

  • Higher intelligence (Artificial Analysis index 44)
  • Faster output (~88.2 tokens/sec)
  • Lower price ($0.54 / 1M blended)
  • Larger context window (1.0M)

Choose Mistral Large 3 if you want…

  • A comparable all-rounder — they trade blows on the headline metrics.

DeepSeek V4 Pro

DeepSeek V4 Pro makes a compelling case that frontier-class coding performance and a one-million-token context window do not have to cost frontier-class money. At roughly $0.18 per million tokens blended, it runs 10x cheaper on input and 30x cheaper on output than comparable models, while posting an 80.6% score on SWE-Bench Verified — the highest reported among open-weight models at launch. Users consistently praise its agentic coding ability, noting it competes with or beats larger closed models on multi-step coding tasks, and its hybrid attention architecture handles full-codebase analysis without collapsing under the token budget. The MIT license is a genuine differentiator: weights are freely available for self-hosting, fine-tuning, and commercial integration. The honest caveat: V4 Pro is verbose. It can generate four to five times more output tokens than comparable models on the same prompt, which erodes the per-token savings and makes cost estimation harder than it first appears. Still in preview as of mid-2026, with all benchmark scores currently vendor-reported, it is best suited for teams comfortable with that tradeoff.

Full DeepSeek V4 Pro 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, DeepSeek V4 Pro or Mistral Large 3?

DeepSeek V4 Pro leads on 4 of the headline metrics (higher intelligence (artificial analysis index 44); faster output (~88.2 tokens/sec); lower price ($0.54 / 1m blended); larger context window (1.0m)), while Mistral Large 3 wins on other factors. The right pick depends on whether you prioritise capability, speed, or cost.

Is DeepSeek V4 Pro or Mistral Large 3 cheaper?

DeepSeek V4 Pro is cheaper at $0.54 per 1M tokens (blended), versus $0.75.

Can I use both DeepSeek V4 Pro 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.