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Le Chat: Custom MCP Connectors, Memories

(mistral.ai)
397 points Anon84 | 1 comments | 04 Sep 25 11:04 UTC | HN request time: 0.001s | source
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raffael_de ◴[04 Sep 25 11:32 UTC] No.45126095[source]▶
Every time I tried a Mistral model I was left rather underwhelmed and just went back to the usual options. Seems like their only USP at this point is Made in EU.
replies(4): >>45126132 #>>45126366 #>>45126768 #>>45127173 #
baq ◴[04 Sep 25 11:38 UTC] No.45126132[source]▶
they're also fast.
replies(1): >>45126191 #
raffael_de ◴[04 Sep 25 11:45 UTC] No.45126191[source]▶
So are Gemini Flash (Lite) and GPT mini/nano.
replies(1): >>45126612 #
1. threeducks ◴[04 Sep 25 12:43 UTC] No.45126612[source]▶

    - 1100    tokens/second Mistral Flash Answers https://www.youtube.com/watch?v=CC_F2umJH58
    -  189.9  tokens/second Gemini 2.5 Flash Lite https://openrouter.ai/google/gemini-2.5-flash-lite
    -   45.92 tokens/second GPT-5 Nano https://openrouter.ai/openai/gpt-5-nano
    - 1799    tokens/second gpt-oss-120b (via Cerebras) https://openrouter.ai/openai/gpt-oss-120b
    -  666.8  tokens/second Qwen3 235B A22B Thinking 2507 (via Cerebras) https://openrouter.ai/qwen/qwen3-235b-a22b-thinking-2507
Gemini 2.5 Flash Lite and GPT-5 Nano seem to be comparatively slow.

That being said, I can not find non-marketing numbers for Mistral Flash Answers. Real-world tps are likely lower, so this comparison chart is not very fair.