agent · llm
DeepSeek R1 vs Mistral Small 3
55 fields both were evaluated on, 25 of them different — including where one discloses something the other does not. Every value links to the document it came from. 30 further fields are disclosed by neither and are listed at the end rather than tabled.
Assurance
| Field | DeepSeek R1 | Mistral Small 3 |
|---|---|---|
| Explainability· | “Chain-of-Thought visualization capability, addressing AI “black box” challenges”deepseek-r1.com · checked Aug 5, 2026 | no public information mistral.ai · checked Aug 4, 2026 |
| Runtime governance· | “Built-in repetition control (temperature 0.5-0.7) and alignment mechanisms prevent endless loops common in RL-trained models.”deepseek-r1.com · checked Aug 5, 2026 | no public information mistral.ai · checked Aug 4, 2026 |
| Evaluation coverage· | no public information deepseek-r1.com · checked Aug 5, 2026 | side by side evaluations with an external third-party vendor on over 1k proprietary coding and generalist prompts “We conducted side by side evaluations with an external third-party vendor, on a set of over 1k proprietary coding and generalist prompts.”mistral.ai · checked Aug 4, 2026 |
Agency
| Field | DeepSeek R1 | Mistral Small 3 |
|---|---|---|
| Goal complexity· | “solving complex problems through visible chain-of-thought reasoning”deepseek-r1.com · checked Aug 5, 2026 | no public information mistral.ai · checked Aug 4, 2026 |
| Operating environment· | “runs locally in your browser with WebGPU acceleration”deepseek-r1.com · checked Aug 5, 2026 | no public information mistral.ai · checked Aug 4, 2026 |
Safety
| Field | DeepSeek R1 | Mistral Small 3 |
|---|---|---|
| Safety policy· | “Built-in repetition control (temperature 0.5-0.7) and alignment mechanisms prevent endless loops common in RL-trained models.”deepseek-r1.com · checked Aug 5, 2026 | no public information mistral.ai · checked Aug 4, 2026 |
| Model or system card· | “Access full specs via the DeepSeek R1 Technical Paper and API docs”deepseek-r1.com · checked Aug 5, 2026 | no public information mistral.ai · checked Aug 4, 2026 |
| Third-party evaluations· | no public information deepseek-r1.com · checked Aug 5, 2026 | Vendor-commissioned: Mistral engaged an external third-party vendor to run side-by-side evaluations. Not an independent audit published by that vendor. “We conducted side by side evaluations with an external third-party vendor”mistral.ai · checked Aug 4, 2026 |
| Data handling· | “Everything runs entirely in your browser with 🤗 Transformers.js and ONNX Runtime Web, meaning no data is sent to a server.”deepseek-r1.com · checked Aug 5, 2026 | no public information mistral.ai · checked Aug 4, 2026 |
Practicality
| Field | DeepSeek R1 | Mistral Small 3 |
|---|---|---|
| Availability· | Publicly announced and available as of the 2026 launch post; weights downloadable and served via API. “Today we’re introducing Mistral Small 3”mistral.ai · checked Aug 4, 2026 | |
| Deployment options· | serverless API, on-prem, VPC, local deployment “model weights will be available to download and deploy locally, and free to modify and use in any capacity. These models will also be made available through a serverless API on la Plateforme , through our on-prem and VPC deployments”mistral.ai · checked Aug 4, 2026 | |
| Integrations· | Available at launch on Hugging Face, Ollama, Kaggle, Together AI, Fireworks AI and IBM Watson X; NVIDIA NIM, Amazon SageMaker, Groq, Databricks and Snowflake are stated as coming soon, not live. “We are also excited to collaborate with Hugging Face, Ollama, Kaggle, Together AI, and Fireworks AI to make the model available on their platforms starting today: Hugging Face ( base model ) Ollama Kaggle Together AI Fireworks AI IBM Watson X Coming soon on NVIDIA NIM, Amazon SageMaker, Groq, Databricks and Snowflake”mistral.ai · checked Aug 4, 2026 |
Foundation models
| Field | DeepSeek R1 | Mistral Small 3 |
|---|---|---|
| Base models· | “DeepSeek-R1-Distill-Qwen-1.5B Qwen2.5-Math-1.5B”deepseek-r1.com · checked Aug 5, 2026 | no public information mistral.ai · checked Aug 4, 2026 |
| Model provider· | ||
| Open weights· | Apache 2.0 license “We’re releasing both a pretrained and instruction-tuned checkpoint under Apache 2.0.”mistral.ai · checked Aug 4, 2026 | |
| Fine-tuning· | no public information deepseek-r1.com · checked Aug 5, 2026 | fine-tuned to specialize in specific domains “Fine-tuning to create subject matter experts: Mistral Small 3 can be fine-tuned to specialize in specific domains”mistral.ai · checked Aug 4, 2026 |
| Context window· | no public information mistral.ai · checked Aug 4, 2026 |
Ecosystem
| Field | DeepSeek R1 | Mistral Small 3 |
|---|---|---|
| Protocols supported· | no public information mistral.ai · checked Aug 4, 2026 | |
| Tool use· | no public information deepseek-r1.com · checked Aug 5, 2026 | handle rapid function execution “Low-latency function calling: Mistral Small 3 is able to handle rapid function execution when used as part of automated or agentic workflows.”mistral.ai · checked Aug 4, 2026 |
| API access· | serverless API on la Plateforme “These models will also be made available through a serverless API on la Plateforme”mistral.ai · checked Aug 4, 2026 | |
| Open source· | ||
| Marketplace presence· | no public information deepseek-r1.com · checked Aug 5, 2026 | Hugging Face, Ollama, Kaggle, Together AI, Fireworks AI “We are also excited to collaborate with Hugging Face, Ollama, Kaggle, Together AI, and Fireworks AI to make the model available on their platforms starting today”mistral.ai · checked Aug 4, 2026 |
Impact
| Field | DeepSeek R1 | Mistral Small 3 |
|---|---|---|
| Deployment scale· | no public information mistral.ai · checked Aug 4, 2026 | |
| Target sectors· | “Ideal for AI research, enterprise code generation, mathematical modeling, and multilingual NLP applications requiring advanced reasoning.”deepseek-r1.com · checked Aug 5, 2026 | Financial services, Healthcare, Robotics, automotive, manufacturing “Our customers are evaluating Mistral Small 3 across multiple industries, including: Financial services customers for fraud detection Healthcare providers for customer triaging Robotics, automotive, and manufacturing companies for on-device command and control”mistral.ai · checked Aug 4, 2026 |
| High-risk domains· | no public information deepseek-r1.com · checked Aug 5, 2026 | legal advice, medical diagnostics “Fine-tuning to create subject matter experts: Mistral Small 3 can be fine-tuned to specialize in specific domains, creating highly accurate subject matter experts. This is particularly useful in fields like legal advice, medical diagnostics, and technical support, where domain-specific knowledge is essential.”mistral.ai · checked Aug 4, 2026 |
Disclosed by neither
Both DeepSeek R1 and Mistral Small 3 publish nothing on these 30 fields. That is a finding about the category rather than a difference between them, so it is recorded here instead of as 30 identical table rows. Each is shown with its source check on the individual profiles.
- Autonomy level
- Human oversight
- Action space
- Initiative
- User base
- Documented incidents
- Pricing model
- Price point
- Supported regions
- Support model
- Model swappable
- Multi-agent
- Safety evaluations
- Red teaming
- Usage restrictions
- Incident reporting
- Insurance available
- Insurance carriers
- Coverage limits
- Indemnification
- Liability cap
- Audit trail
- Tamper-evident log
- Permission scopes
- Compliance certifications
- Regulatory alignment
- Outcome-based pricing
- Settlement mechanism
- Dispute process
- SLA terms
Questions
- How do DeepSeek R1 and Mistral Small 3 compare on high-risk domains?
- DeepSeek R1: no public information disclosed. Mistral Small 3: legal advice, medical diagnostics.
- How do DeepSeek R1 and Mistral Small 3 compare on fine-tuning?
- DeepSeek R1: no public information disclosed. Mistral Small 3: fine-tuned to specialize in specific domains.
- How do DeepSeek R1 and Mistral Small 3 compare on tool use?
- DeepSeek R1: no public information disclosed. Mistral Small 3: handle rapid function execution.
- How do DeepSeek R1 and Mistral Small 3 compare on marketplace presence?
- DeepSeek R1: no public information disclosed. Mistral Small 3: Hugging Face, Ollama, Kaggle, Together AI, Fireworks AI.
- How do DeepSeek R1 and Mistral Small 3 compare on third-party evaluations?
- DeepSeek R1: no public information disclosed. Mistral Small 3: Vendor-commissioned: Mistral engaged an external third-party vendor to run side-by-side evaluations. Not an independent audit published by that vendor..
- How do DeepSeek R1 and Mistral Small 3 compare on evaluation coverage?
- DeepSeek R1: no public information disclosed. Mistral Small 3: side by side evaluations with an external third-party vendor on over 1k proprietary coding and generalist prompts.