Head to head
Gemini 3.5 Flash vs Mistral Large 3
Gemini 3.5 Flash (Google) 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 | Gemini 3.5 Flash | Mistral Large 3 |
|---|---|---|
| Intelligence (AA index) | 50 ✓ | 16 |
| Output speed (tokens/sec) | 168.1 ✓ | 49.1 |
| Context window | 1.0M ✓ | 256K |
| Max output | 66K | — |
| Input price / 1M | $1.5 | $0.5 ✓ |
| Output price / 1M | $9 | $1.5 ✓ |
| Released | 2026-05 | 2025-12 |
Choose Gemini 3.5 Flash if you want…
- Higher intelligence (Artificial Analysis index 50)
- Faster output (~168.1 tokens/sec)
- Larger context window (1.0M)
Choose Mistral Large 3 if you want…
- Lower price ($0.75 / 1M blended)
Gemini 3.5 Flash
The first Flash-tier model to outperform a Pro on coding and agentic benchmarks, Gemini 3.5 Flash rewrites expectations for what a speed-optimized model can do. At over 280 tokens per second — roughly 4x faster than comparable frontier models — it sustains the throughput that production agent loops demand, while benchmark results on Terminal-Bench 2.1 (76.2%) and MCP Atlas (83.6%) put it ahead of Gemini 3.1 Pro on the tasks developers actually care about. Early users call it "an insane value" for delivering near-frontier intelligence at roughly a third of Pro's cost. The 31-point drop in hallucination rate over its predecessor makes it meaningfully more reliable in practice. The honest caveat: time to first token sits around 19 seconds, which stings in latency-sensitive interactions, and aggressive rate limiting has frustrated users hitting it hard. Deep reasoning, hard analytical problems, and ultra-long context retrieval still favor the Pro. But for teams running iterative coding agents, structured data pipelines, or high-throughput chatbots where cost and speed are the binding constraints, Flash 3.5 is the practical choice.
Full Gemini 3.5 Flash 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, Gemini 3.5 Flash or Mistral Large 3?
Gemini 3.5 Flash leads on 3 of the headline metrics (higher intelligence (artificial analysis index 50); faster output (~168.1 tokens/sec); larger context window (1.0m)), 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 Gemini 3.5 Flash or Mistral Large 3 cheaper?
Mistral Large 3 is cheaper at $0.75 per 1M tokens (blended), versus $3.38.
Can I use both Gemini 3.5 Flash 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.