Magistral vs Mistral Small 4: Which is Better in 2026?
A comprehensive comparison of Magistral and Mistral Small 4 covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Magistral if:
- →You need magistral medium: 73.6% on aime2024, 90% with majority voting @64 or magistral small: 70.7% on aime2024, 83.3% with majority voting @64 — all at 24b open-weight scale
Choose Mistral Small 4 if:
- →You need 119b total parameters, 6b active per token (moe: 128 experts, 4 active) or 256k token context window
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Magistral vs Mistral Small 4: At a Glance
Pricing Comparison: Magistral vs Mistral Small 4
Understanding the pricing differences between Magistral and Mistral Small 4 is crucial for making the right choice. Here's how their plans compare side by side.
Magistral Pricing
Mistral Small 4 Pricing
💡 Pricing takeaway: Both Magistral and Mistral Small 4 offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from Magistral and Mistral Small 4 stacks up.
What Makes Each Tool Unique
🔵 Unique to Magistral
Features available in Magistral but not in Mistral Small 4:
- ✓Magistral Medium: 73.6% on AIME2024, 90% with majority voting @64
- ✓Magistral Small: 70.7% on AIME2024, 83.3% with majority voting @64 — all at 24B open-weight scale
- ✓Native multilingual chain-of-thought across EN, FR, ES, DE, IT, AR, RU, and Simplified Chinese
- ✓Flash Answers mode in Le Chat: up to 10x faster throughput than most competitors for real-time reasoning
- ✓Think mode in Le Chat for extended step-by-step reasoning on complex problems
- ✓Traceable reasoning — every conclusion has visible logical steps; auditable for compliance
- ✓Magistral Small under Apache 2.0 — commercial use, fine-tuning, and redistribution without restrictions
- ✓Available on Hugging Face for self-deployment: mistralai/Magistral-Small-2506
- ✓Magistral Medium on Amazon SageMaker for enterprise-grade deployment
- ✓Designed for regulated industries: legal, finance, healthcare, government — with auditability built in
🟣 Unique to Mistral Small 4
Features available in Mistral Small 4 but not in Magistral:
- ✓119B total parameters, 6B active per token (MoE: 128 experts, 4 active)
- ✓256k token context window
- ✓Unified reasoning, vision, and coding in a single model
- ✓Configurable reasoning effort: reasoning_effort='none' (fast) or 'high' (deep)
- ✓Native image input support (text + vision in one model)
- ✓Apache 2.0 license — permissive commercial use, no additional restrictions
- ✓40% reduction in end-to-end latency vs Mistral Small 3
- ✓3× higher throughput vs Mistral Small 3 (throughput-optimized setup)
- ✓Beats GPT-OSS 120B on AA LCR and LiveCodeBench with shorter outputs
- ✓Runs on vLLM, llama.cpp, SGLang, and Transformers
Use Case Recommendations
Best for: Magistral
Mistral AI's first reasoning model, released June 10, 2025. Available in two variants: Magistral Small (24B parameters, Apache 2.0 open-source) and Magistral Medium (enterprise, closed). Magistral Medium scores 73.6% on AIME2024 (90% with majority voting @64); Magistral Small scores 70.7% (83.3% @64). Features transparent chain-of-thought reasoning that works natively across 8+ languages including English, French, Spanish, German, Italian, Arabic, Russian, and Simplified Chinese. Flash Answers in Le Chat delivers up to 10x faster token throughput than most competitors. Designed for domain-specific reasoning in legal, finance, healthcare, coding, and creative tasks.
Ideal use cases:
- •Teams or individuals who need magistral medium: 73.6% on aime2024, 90% with majority voting @64
- •Teams or individuals who need magistral small: 70.7% on aime2024, 83.3% with majority voting @64 — all at 24b open-weight scale
- •Teams or individuals who need native multilingual chain-of-thought across en, fr, es, de, it, ar, ru, and simplified chinese
- •Teams or individuals who need flash answers mode in le chat: up to 10x faster throughput than most competitors for real-time reasoning
- •Anyone focused on mistral workflows
- •Anyone focused on reasoning model workflows
Best for: Mistral Small 4
Mistral's first unified open-source model, released March 16, 2026. A 119B MoE model (6B active parameters per token) that merges reasoning (Magistral), multimodal vision (Pixtral), and agentic coding (Devstral) into a single Apache 2.0 model. 256k context window. 40% faster and 3× higher throughput than Mistral Small 3. Beats GPT-OSS 120B on coding and reasoning benchmarks while generating shorter outputs.
Ideal use cases:
- •Teams or individuals who need 119b total parameters, 6b active per token (moe: 128 experts, 4 active)
- •Teams or individuals who need 256k token context window
- •Teams or individuals who need unified reasoning, vision, and coding in a single model
- •Teams or individuals who need configurable reasoning effort: reasoning_effort='none' (fast) or 'high' (deep)
- •Anyone focused on mistral workflows
- •Anyone focused on llm workflows
🧩 Other LLM APIs & Models Tools to Consider
Magistral and Mistral Small 4 aren't the only options. Here are other popular tools in the same space:
Claude Opus 4.8
Anthropic's flagship model — stronger coding, agents, and honesty
Mistral Small 3.1
Mistral's 24B multimodal open-source model — beats GPT-4o Mini, Apache 2.0
Mistral Small 3
Mistral's 24B latency-optimized open model — faster than Llama 3.3 70B, Apache 2.0
Mistral Medium 3.5
Mistral's 128B merged flagship — open weights, coding+reasoning+instructions
Mistral 3
Mistral's MoE flagship + edge model family — Apache 2.0, multimodal, reasoning
North Mini Code
Cohere's open-source agentic coding model — 30B MoE, 3B active, Apache 2.0
Is one of these your tool?
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Frequently Asked Questions
Is Magistral better than Mistral Small 4?
It depends on your needs. Magistral offers 10 key features including Magistral Medium: 73.6% on AIME2024, 90% with majority voting @64 and Magistral Small: 70.7% on AIME2024, 83.3% with majority voting @64 — all at 24B open-weight scale, while Mistral Small 4 provides 10 features including 119B total parameters, 6B active per token (MoE: 128 experts, 4 active) and 256k token context window. Magistral uses a freemium model with a free tier, while Mistral Small 4 is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is Magistral cheaper than Mistral Small 4?
Both tools have similar pricing structures. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use Magistral and Mistral Small 4 together?
Yes, many users combine Magistral and Mistral Small 4 in their workflow. Magistral excels at magistral medium: 73.6% on aime2024, 90% with majority voting @64, while Mistral Small 4 shines with 119b total parameters, 6b active per token (moe: 128 experts, 4 active). Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between Magistral and Mistral Small 4?
While both are llm apis & models tools, Magistral emphasizes magistral medium: 73.6% on aime2024, 90% with majority voting @64, whereas Mistral Small 4 is known for 119b total parameters, 6b active per token (moe: 128 experts, 4 active). The best choice depends on your specific workflow and feature priorities.
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