Mistral Medium 3.5
Shares rank 32 of 72 language models by recommenders
Fast, cheap, and good enough for many everyday coding and writing tasks; the common caveat is that it trails newer models.
Fast, cheap, and good enough for many everyday coding and writing tasks; the common caveat is that it trails newer models.
54 people gave an opinion
- recommend it
- 26
- criticize it
- 28
- approval share
- 48%
Recommended in 8 of 13 months
- November 2025: not recommended
- December 2025: recommended
- January 2026: not recommended
- February 2026: not recommended
- March 2026: recommended
- April 2026: recommended
- May 2026: recommended
- June 2026: recommended
- July 2026: recommended
- August 2026: recommended
- September 2026: not recommended
- October 2026: recommended
- November 2026: not recommended (month in progress)
Why it doesn’t carry the badge
- 26 people recommend itNeeds 10 or more, met.
- 0.9 recommenders for every criticNeeds 2 to 1 or better, not met.
- Recommended in 8 of 13 monthsNeeds 4 or more, met.
The same three rules apply to every product, and the badge can’t be bought. How the badge works
What people say about it
The reasons people give, with the number of comments that give each one. Open a reason to read what they said.
Why people recommend it
Each mark is one comment
Good enough for many tasks
“Mistral's medium is absolutely good enough to help with a ton of coding tasks.”
Comment from 4 Oct 2026 in “Kolibri: A Sovereign Open-Weight Model” “within a few percent of SOTA that might be good enough for a lot of people”
Comment from 29 Apr 2026 in “Mistral Medium 3.5” “lower sized models, lower costs, overall good enough performance”
Comment from 30 Apr 2026 in “Mistral Medium 3.5” - Comment from 16 Mar 2026 in “Mistral Releases Leanstral”
Cheap, low-cost pricing
“and Mistral Medium down to some Qwen 3.6 35B for effectively peanuts compared to Anthropic.”
Comment from 26 Jun 2026 in “US Govt to individually approve who gets GPT 5.6” “most aggressive open-weight pricing I've seen anywhere near frontier capability”
Comment from 29 Apr 2026 in “Mistral Medium 3.5” “lower sized models, lower costs, overall good enough performance”
Comment from 30 Apr 2026 in “Mistral Medium 3.5” Open weight, self-hostable
“it's open weight and is tiny compared to a lot of it's competitors”
Comment from 29 Apr 2026 in “Mistral Medium 3.5” “This model is a very good option for enterprise self host.”
Comment from 29 Apr 2026 in “Mistral Medium 3.5” Better than earlier Mistral models
“The new Mistral Medium 3.5 is also a big improvement over devstral-2”
Comment from 1 Jul 2026 in “Leanstral 1.5” “It's giving me better results than mistral-large for my use cases.”
Comment from 29 Apr 2026 in “Mistral Medium 3.5”
What people warn about
Each mark is one comment
Trails newer open models
“Unfortunately they only compare to old “all other open models”. There are probably over 10 other open models better than it by now.”
Comment from 29 Apr 2026 in “Mistral Medium 3.5” “the fact the Gemma 4 26B A4B I'm running locally can blow it out of the water doesn't give me high confidence for the model”
Comment from 29 Apr 2026 in “Mistral Medium 3.5” “When I try other html / js prompts it also lacks behind china models from over half a year ago.”
Comment from 29 Apr 2026 in “Mistral Medium 3.5” - Comment from 8 Sep 2026 in “Mistral raises €3B”
- Comment from 29 Apr 2026 in “Mistral Medium 3.5”
Feels dated for current standards
“considering the model is getting a bit old, I wouldn't expect them to keep offering it forever”
Comment from 29 Apr 2026 in “Mistral Medium 3.5” “Mistral large 3/medium 3.5/small 4 have all been pretty dated for a while”
Comment from 30 Oct 2026 in “We're releasing the weights of Mistral Large 4” “twice the European counterpart (albeit dated for today's standards?)”
Comment from 17 Jul 2026 in “Kimi K3 is now live” Priced high for its performance
“This particular Mistral Medium looks to be uncompetitive at that pricing.”
Comment from 29 Apr 2026 in “Mistral Medium 3.5” “new Medium 3.5 is far more expensive than previous Mistral models”
Comment from 29 May 2026 in “Notes from the Mistral AI Now Summit in Paris” Benchmark results questioned
“It's SWE-Bench Verified. A benchmark Open-AI stopped using two months ago due to contamination.”
Comment from 29 Apr 2026 in “Mistral Medium 3.5” “Not really. The benchmarks are based on F8_E4M3 and you’re not running that on any Mac.”
Comment from 29 Apr 2026 in “Mistral Medium 3.5”
Other language models people recommend
The four most recommended other language models, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.
| Product | Recommend | Criticize | Approval | Months | Owned | Badge |
|---|---|---|---|---|---|---|
| Claude Opus | 3,331 | 2,746 | 55% | 13 | 4 mo156 owners | — |
| OpenAI GPT | 1,205 | 987 | 55% | 13 | 6 mo47 owners | — |
| Claude Sonnet | 854 | 586 | 59% | 13 | 6 mo46 owners | — |
| DeepSeek V4 Flash | 828 | 223 | 79% | 8 | 1 mo24 owners | Approved |
| Mistral Medium 3.5This page | 26 | 28 | 48% | 8 | — | — |
What people said
40 of the 64 comments that mention it, newest first. Each links to the original comment.
“Mistral large 3/medium 3.5/small 4 have all been pretty dated for a while”
“Mistral's medium is absolutely good enough to help with a ton of coding tasks.”
“their Mistral Medium 3.5 with reasoning is worse than Gemma 4 31B and Glimmer 30B”
“asking Mistral medium to rewrite all of”
“The only solution I’ve found that works is asking Mistral medium to rewrite all of Claude’s documentation”
“twice the European counterpart (albeit dated for today's standards?)”
“The new Mistral Medium 3.5 is also a big improvement over devstral-2”
“considerably better at writing than Opus”
“and Mistral Medium down to some Qwen 3.6 35B for effectively peanuts compared to Anthropic.”
“Mistral Medium 3.5 being significantly better at real-time decision making than they are at coding”
“perfectly fine if you're willing to talk to it in a more fine-grained way about actual code”
“new Medium 3.5 is far more expensive than previous Mistral models”
“It will probably be enough for plenty of tasks, though there's also a noticeable difference between that and up to 1M.”
“lower sized models, lower costs, overall good enough performance”
“Being near the Pareto frontier of inference cost vs. output quality.”
“But what is the rationale for running a dumb model? Because it can ocasionally produce something passable?”
“This is going to be much slower.”
“considering the model is getting a bit old, I wouldn't expect them to keep offering it forever”
“releasing a model today that's only on par with open-source dense models a quarter of the size is kind of a flop”
“Not really. The benchmarks are based on F8_E4M3 and you’re not running that on any Mac.”
“it's working great for my usual test prompts”
“For it's size, that's really good!”
“Mistral continuing to ship credible models is good for the market.”
“When I try other html / js prompts it also lacks behind china models from over half a year ago.”
“there is a significant difference between Mistral and Kimi or Gemini”
“Not sure it will beat Sonet at Q4.”
“it's open weight and is tiny compared to a lot of it's competitors”
“Given what Vibe already did in the previous versions with codestral-v2, that's great news.”
“the fact the Gemma 4 26B A4B I'm running locally can blow it out of the water doesn't give me high confidence for the model”
“This model is a very good option for enterprise self host.”
“It's giving me better results than mistral-large for my use cases.”
“most aggressive open-weight pricing I've seen anywhere near frontier capability”
“This beats the latest Sonnet while running locally”
“This particular Mistral Medium looks to be uncompetitive at that pricing.”
“Unfortunately they only compare to old “all other open models”. There are probably over 10 other open models better than it by now.”
“model and national diversity is great. This looks like a solid foundation to build on”
“within a few percent of SOTA that might be good enough for a lot of people”
“It's SWE-Bench Verified. A benchmark Open-AI stopped using two months ago due to contamination.”
“I use mistral-medium-3.1 for a lot of random daily tasks”
“It's been insanely fast, cheap, reliable, and follows formatting instructions to the letter.”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.