Alternatives

Products that do what Mistral 7B does

The best 7B model to date, Apache 2.0

1
Dream 7B▲191
Powerful Open Diffusion LLM, Beyond Autoregressive
2025
2
Unsloth▲241
Finetune LLMs 2x faster, 80% less memory
2025
3
Mistral Medium 3.5▲123
A 128B model for coding, reasoning, and long tasks
Apr 2026
4
Code Llama 70B▲144
New, performant version of Meta's LLM for code generation
2024
5
LLaMA▲118
A foundational, 65-billion-parameter large language model
2023
6
Nebius AI Studio Fine-Tuning▲44
Transform generic AI models into specialized solutions
2025
7
Meta Llama 3▲159
The most capable openly available LLM to date
2024
8
Airtrain.ai LLM Playground▲246
Vibe-check many open-source and proprietary LLMs at once
2024
9
NVLM 1.0▲200
Open frontier-class multimodal LLMs
2024
10
Qwen 1.5 MoE▲100
Highly efficient mixture-of-expert (MoE) model from Alibaba
2024
11
Devstral 2▲190
SOTA open-source agentic coding models and CLI agent
Dec 2025
12
Taylor AI▲118
Fine-tune open source LLMs in minutes
2023
13
Qwen3.6-35B-A3B▲124
The open sparse MoE model for agentic coding
Apr 2026
14
DeepHermes 3▲111
Intuitive responses and deep reasoning, in one model
2025
15
Kuzco▲216
Open-source Swift package to run LLMs locally on iOS & macOS
2025
16
Mistral Vibe▲155
I agent for long-running, multi-step work and coding
Jun 2026
17
Tinker▲125
Control every aspect of model training and fine-tuning
Oct 2025
18
Ollama▲235
The easiest way to run large language models locally
2023
19
Voxtral TTS by Mistral AI▲156
Multilingual TTS model with realistic and expressive speech
Mar 2026
20
TuneLlama▲67
Easy Llama 3.1 Fine-Tuning
2024
21L3
Llama 3.2 3B and Keiro Research achieves 85% on SimpleQA▲6
ran this over the weekend. stack was Llama 3.2 3B running locally + Keiro Research API for retrieval. 85.0% on 4,326 questions. where that lands: ROMA (357B): 93.9% OpenDeepSearch (671B): 88.3% Sonar Pro: 85.8% Llama 3.2 3B + Keiro: 85.0% the systems ahead of us are running models 100-200x larger. that's why they're ahead. not better retrieval, not better prompting — just way more parameters. the interesting part is how small the gap is despite that. 3 points behind a 671B model. 0.8 behind Sonar Pro. at some point you have to ask what you're actually buying with all that compute for this…
Mar 2026 · keirolabs.cloud
22
DeepSeek-R1-0528▲218
New open-source LLM that rivals o3 in coding & reasoning
2025
23
Voxtral▲201
Frontier open source speech understanding models
2025
24
QwQ-32B▲197
Matching R1 reasoning yet 20x smaller
2025

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