Mistral: Models Intelligence, Performance & Price
This analysis is intended to support you in choosing the best model provided by Mistral for your use-case.
Most Intelligent
Updated
GLM-5.2 (max)
Mistral Medium 3.5Mistral Small 4Mistral Medium 3.1Mistral Large 3Intelligence index
Total 19 models
Fastest
GLM-5.2 (max)Ministral 3 3BMistral Small 4Mistral Small 3.2Mistral Small 3Output speed
Total 19 models
Lowest Price
Ministral 3 3BMistral Small 3.1Mistral Small 3.2Mistral Small 3Ministral 3 8BBlended price (per 1M tokens)
Total 19 models
Mistral offers 19 models, each with different intelligence, performance, and pricing characteristics. Below is a comparison of the key metrics across models.
- For intelligence, the top models on Mistral are GLM-5.2 (max) (39), Mistral Medium 3.5 (15), and Mistral Small 4 (11).
- For output speed, the fastest models are GLM-5.2 (max) (194 t/s), Ministral 3 3B (184 t/s), and Mistral Small 4 (167 t/s).
- For latency, Ministral 3 3B (0.66s), Mistral Small 3.2 (0.72s), and Mistral Small 4 (Non-reasoning) (0.73s) offer the lowest time to first answer token.
- For pricing, Ministral 3 3B ($0.10), Mistral Small 3.1 ($0.12), and Mistral Small 3.2 ($0.12) offer the lowest blended prices per 1M tokens.
- For context window size, GLM-5.2 (max) (1M), Mistral Medium 3.5 (262k), and Mistral Large 3 (262k) support the largest context windows on Mistral.
- GLM-5.2 (max) offers the best combination of intelligence and speed. For cost optimization, Ministral 3 3B provides the most competitive pricing.
Highlights
Intelligence Evaluations
Artificial Analysis Intelligence Index
Intelligence Evaluations
Agentic knowledge work, (Elo-500)/2000
Agentic real-world work tasks, (Elo-500)/2000
Agentic SaaS workflows
Agentic coding & terminal use
Coding
Reasoning & knowledge
Professional document reasoning, All-pass
Physics reasoning
Knowledge
1 - hallucination rate
Long context reasoning
Legal agentic work, criterion pass rate
Agentic business operations
Quantitative analysis on spreadsheets & documents
Instruction following
Agentic tool use
Long-horizon agentic tasks
Kubernetes incident root-cause analysis
Visual reasoning
Intelligence Index vs. Price
Context Window
Context Window
Pricing
Intelligence Index vs. Price
Performance Summary
Output Speed vs. Price
Speed
Measured by Output Speed (tokens per second)
Output Speed
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time vs. Price
Further Analysis | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
GLM-5.2 (max) | 1.05M | Open | 39* | -- | 194 | 1.01 | 13.89 | 10.30 | |||
Mistral Medium 3.5 | 262k | Open | 15 | $0.44 | 148 | 2.27 | 19.14 | 13.50 | |||
Mistral Small 4 | 256k | Open | 11 | $0.05 | 167 | 0.74 | 15.72 | 11.99 | |||
Mistral Medium 3.1 | 131k | Proprietary | 10* | -- | 137 | 2.27 | 5.91 | -- | |||
Mistral Large 3 | 262k | Open | 10 | $0.10 | 77 | 1.04 | 7.53 | -- | |||
Devstral 2 | 262k | Open | 9 | $0.00 | 138 | 2.30 | 5.93 | -- | |||
Mistral Medium 3 | 131k | Proprietary | 9* | -- | 140 | 2.28 | 5.86 | -- | |||
Mistral Small 4 (Non-reasoning) | 262k | Open | 9* | -- | 154 | 0.73 | 3.97 | -- | |||
Devstral Small 2 | 256k | Open | 8 | $0.00 | 144 | 2.26 | 5.74 | -- | |||
Mistral Small 3.1 | 131k | Open | 7 | $0.03 | 149 | 0.76 | 4.12 | -- | |||
Mistral Small 3.2 | 131k | Open | 7 | $0.15 | 156 | 0.72 | 3.92 | -- | |||
Mistral Small 3 | 32.8k | Open | 7* | -- | 156 | 0.77 | 3.98 | -- | |||
Ministral 3 14B | 262k | Open | 6 | $0.14 | 89 | 0.86 | 6.45 | -- | |||
Mistral Small (Sep) | 32.8k | Open | 6* | -- | 155 | 0.78 | 4.01 | -- | |||
Mistral Small (Feb) | 262k | Proprietary | 6* | -- | 150 | 0.74 | 4.08 | -- | |||
Mistral Medium | 131k | Proprietary | 5* | -- | 137 | 2.25 | 5.90 | -- | |||
Ministral 3 8B | 262k | Open | 5 | $0.07 | 81 | 0.78 | 6.97 | -- | |||
Mistral 7B | 32.8k | Open | 5* | -- | 79 | 0.77 | 7.06 | -- | |||
Ministral 3 3B | 131k | Open | 5 | $0.04 | 184 | 0.66 | 3.38 | -- | |||
Key definitions
Frequently Asked Questions
Common questions about Mistral
Mistral offers 19 models that we track: GLM-5.2 (max), Mistral Medium 3.5, Mistral Small 4, Mistral Medium 3.1, Mistral Large 3, Devstral 2, Mistral Medium 3, Mistral Small 4 (Non-reasoning), Devstral Small 2, Mistral Small 3.1, Mistral Small 3.2, Mistral Small 3, Ministral 3 14B, Mistral Small (Sep), Mistral Small (Feb), Mistral Medium, Ministral 3 8B, Mistral 7B, and Ministral 3 3B.
The most intelligent model available on Mistral is GLM-5.2 (max) with an Intelligence Index score of 39.
The fastest model on Mistral by output speed is GLM-5.2 (max) at 194.2 tokens per second.
The model with the lowest time to first answer token on Mistral is Ministral 3 3B at 0.66s. Lower latency means faster initial response time.
The most affordable model on Mistral by blended price is Ministral 3 3B at $0.10 per 1M tokens (7:2:1 cache hit/input/output ratio).
Prices on Mistral vary up to 21x across models, from $0.10 per 1M tokens for Ministral 3 3B to $2.10 per 1M tokens for Mistral Medium.
Yes, Mistral offers an OpenAI-compatible API, making it easy to switch from OpenAI or use existing OpenAI SDK integrations.
Yes, all 19 models on Mistral support JSON mode for structured output.
Yes, all 19 models on Mistral support function calling (tool use).
Yes, Mistral offers 3 reasoning models: GLM-5.2 (max), Mistral Medium 3.5, and Mistral Small 4. Reasoning models use extended thinking to work through complex problems before providing an answer.
Yes, 15 of 19 models on Mistral are open weight models: GLM-5.2 (max), Mistral Medium 3.5, Mistral Small 4, Mistral Large 3, Devstral 2, Mistral Small 4 (Non-reasoning), Devstral Small 2, Mistral Small 3.1, Mistral Small 3.2, Mistral Small 3, Ministral 3 14B, Mistral Small (Sep), Ministral 3 8B, Mistral 7B, and Ministral 3 3B.
Yes, provider performance can vary over time due to infrastructure changes, load balancing, and updates. We continuously benchmark all providers and display historical performance trends in the "Over Time" charts.
When choosing a model on Mistral, consider: intelligence (for quality-sensitive tasks), output speed (for throughput-intensive tasks), latency (for interactive applications requiring quick first responses), pricing (for cost-sensitive workloads), and features like context window size, JSON mode, or function calling support.