Magistral vs Mistral Medium 3.5: Which is Better in 2026?
A comprehensive comparison of Magistral and Mistral Medium 3.5 covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Magistral if:
- →You need a broader feature set (10 features vs 9)
- →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 Medium 3.5 if:
- →You want more affordable paid plans (from $1.5/mo)
- →You need 128b dense model (merged: instruction-following + reasoning + coding) or 256k token context window
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Magistral vs Mistral Medium 3.5: At a Glance
Pricing Comparison: Magistral vs Mistral Medium 3.5
Understanding the pricing differences between Magistral and Mistral Medium 3.5 is crucial for making the right choice. Here's how their plans compare side by side.
Magistral Pricing
💡 Pricing takeaway: Both Magistral and Mistral Medium 3.5 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 Medium 3.5 stacks up.
What Makes Each Tool Unique
🔵 Unique to Magistral
Features available in Magistral but not in Mistral Medium 3.5:
- ✓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 Medium 3.5
Features available in Mistral Medium 3.5 but not in Magistral:
- ✓128B dense model (merged: instruction-following + reasoning + coding)
- ✓256k token context window
- ✓77.6% on SWE-Bench Verified (beats Devstral 2 and Qwen3.5 397B A17B)
- ✓91.4 on τ³-Telecom (strong agentic capabilities)
- ✓Configurable reasoning effort per request
- ✓Vision encoder trained from scratch — handles variable image sizes and aspect ratios
- ✓Open weights under modified MIT license (self-hostable on 4 GPUs)
- ✓Powers Mistral Vibe remote coding agents and Le Chat Work mode
- ✓Async cloud coding sessions with GitHub, Linear, Jira, Sentry integrations
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 Medium 3.5
Mistral's first flagship merged model, released May 22, 2026. A dense 128B model with a 256k context window that handles instruction-following, reasoning, and coding in a single set of weights. Available as open weights (modified MIT license) and powers Mistral Vibe remote coding agents and Le Chat's new Work mode. SWE-Bench Verified: 77.6%. API: $1.5/M input, $7.5/M output.
Ideal use cases:
- •Teams or individuals who need 128b dense model (merged: instruction-following + reasoning + coding)
- •Teams or individuals who need 256k token context window
- •Teams or individuals who need 77.6% on swe-bench verified (beats devstral 2 and qwen3.5 397b a17b)
- •Teams or individuals who need 91.4 on τ³-telecom (strong agentic capabilities)
- •Anyone focused on mistral workflows
- •Anyone focused on llm workflows
🧩 Other LLM APIs & Models Tools to Consider
Magistral and Mistral Medium 3.5 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 4
Mistral's unified open-source model — reasoning + vision + coding, Apache 2.0
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 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 Medium 3.5?
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 Medium 3.5 provides 9 features including 128B dense model (merged: instruction-following + reasoning + coding) and 256k token context window. Magistral uses a freemium model with a free tier, while Mistral Medium 3.5 is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is Magistral cheaper than Mistral Medium 3.5?
Magistral doesn't have standard paid plans, while Mistral Medium 3.5 starts at $1.5/month. 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 Medium 3.5 together?
Yes, many users combine Magistral and Mistral Medium 3.5 in their workflow. Magistral excels at magistral medium: 73.6% on aime2024, 90% with majority voting @64, while Mistral Medium 3.5 shines with 128b dense model (merged: instruction-following + reasoning + coding). 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 Medium 3.5?
While both are llm apis & models tools, Magistral emphasizes magistral medium: 73.6% on aime2024, 90% with majority voting @64, whereas Mistral Medium 3.5 is known for 128b dense model (merged: instruction-following + reasoning + coding). The best choice depends on your specific workflow and feature priorities.
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