Mistral 3 vs Mistral Medium 3.5: Which is Better in 2026?
A comprehensive comparison of Mistral 3 and Mistral Medium 3.5 covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Mistral 3 if:
- →You need mistral large 3: sparse moe with 41b active / 675b total parameters or ministral 3 series: dense 3b, 8b, 14b models optimized for edge inference
Choose Mistral Medium 3.5 if:
- →You want more affordable paid plans (from $1.5/mo)
- →You need a broader feature set (9 features vs 8)
- →You need 128b dense model (merged: instruction-following + reasoning + coding) or 256k token context window
Mistral 3 vs Mistral Medium 3.5: At a Glance
Pricing Comparison: Mistral 3 vs Mistral Medium 3.5
Understanding the pricing differences between Mistral 3 and Mistral Medium 3.5 is crucial for making the right choice. Here's how their plans compare side by side.
💡 Pricing takeaway: Both Mistral 3 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 Mistral 3 and Mistral Medium 3.5 stacks up.
What Makes Each Tool Unique
🔵 Unique to Mistral 3
Features available in Mistral 3 but not in Mistral Medium 3.5:
- ✓Mistral Large 3: sparse MoE with 41B active / 675B total parameters
- ✓Ministral 3 series: dense 3B, 8B, 14B models optimized for edge inference
- ✓Ministral variants include base, instruct, and reasoning variants
- ✓Image understanding across 40+ languages (Ministral 14B)
- ✓Ministral 14B reasoning: 85% on AIME '25
- ✓Mistral Large 3 ranks #2 OSS non-reasoning on LMArena leaderboard
- ✓All models released under Apache 2.0 license
- ✓First Mistral MoE model since the seminal Mixtral series
🟣 Unique to Mistral Medium 3.5
Features available in Mistral Medium 3.5 but not in Mistral 3:
- ✓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: Mistral 3
Mistral's December 2025 model family: Mistral Large 3 (flagship sparse MoE, 41B active / 675B total parameters, Apache 2.0) plus the Ministral 3 series (dense 3B, 8B, 14B edge models). Mistral Large 3 is Mistral's first MoE since Mixtral, with multimodal capabilities and #2 ranking on LMArena for OSS non-reasoning models. Ministral 14B reasoning variant scores 85% on AIME '25. All released under Apache 2.0.
Ideal use cases:
- •Teams or individuals who need mistral large 3: sparse moe with 41b active / 675b total parameters
- •Teams or individuals who need ministral 3 series: dense 3b, 8b, 14b models optimized for edge inference
- •Teams or individuals who need ministral variants include base, instruct, and reasoning variants
- •Teams or individuals who need image understanding across 40+ languages (ministral 14b)
- •Anyone focused on mistral workflows
- •Anyone focused on llm 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 Tools to Consider
Mistral 3 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
North Mini Code
Cohere's open-source agentic coding model — 30B MoE, 3B active, Apache 2.0
Frequently Asked Questions
Is Mistral 3 better than Mistral Medium 3.5?
It depends on your needs. Mistral 3 offers 8 key features including Mistral Large 3: sparse MoE with 41B active / 675B total parameters and Ministral 3 series: dense 3B, 8B, 14B models optimized for edge inference, while Mistral Medium 3.5 provides 9 features including 128B dense model (merged: instruction-following + reasoning + coding) and 256k token context window. Mistral 3 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 Mistral 3 cheaper than Mistral Medium 3.5?
Mistral 3 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 Mistral 3 and Mistral Medium 3.5 together?
Yes, many users combine Mistral 3 and Mistral Medium 3.5 in their workflow. Mistral 3 excels at mistral large 3: sparse moe with 41b active / 675b total parameters, 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 Mistral 3 and Mistral Medium 3.5?
While both are llm-apis tools, Mistral 3 emphasizes mistral large 3: sparse moe with 41b active / 675b total parameters, 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.