This model is deprecated. We only continue performance benchmarking for the default 10k input token workload. Results for other workloads are historical and no longer updated.

Mistral has launched a newer model, Magistral Medium 1.2. We suggest considering it instead.

For more information, see comparison of Magistral Medium 1.2 to other models and API provider benchmarks for Magistral Medium 1.2.

Magistral Medium 1 logo
Mistral
•

Proprietary model

•

Released June 2025

Magistral Medium 1 API Provider Benchmarking & Analysis

Model Comparison

Analysis of API providers for Magistral Medium 1 across performance metrics including latency (time to first token), output speed (output tokens per second), price and others. API providers benchmarked include .

Fastest

Output speed

Total 0 providers

Lowest Latency

Time to first answer token

Total 0 providers

Lowest Price

Blended price (per 1M tokens)

Total 0 providers

No API providers are currently available for Magistral Medium 1.

Benchmarks of providers are not available for this model.
Please see the models page for Magistral Medium 1 for details of the model and its intelligence compared to other models.

Highlights

Speed

Output tokens per second · Higher is better
No data available

End-to-End Response Time

Seconds · Lower is better
No data available

Price

USD per 1M tokens (blended) · Lower is better
No data available

Pricing

Pricing: Cache Hit, Input, and Output

Price (USD per M Tokens) · Lower is better · 10,000 input tokens
No data available

Price per token for cached prompts (previously processed), typically offering a significant discount compared to regular input price, represented as USD per million tokens. The values shown here are the cache hit price; cache write and cache storage are billed separately and vary by provider — see "Cache pricing by provider" for detail.

Pricing: Blended Price

Blended at 7:2:1 (cache-input-output) · USD per 1M tokens (blended) · Lower is better
No data available

Price per token, shown in USD per million tokens. Price is a blend of cache hit, input, and output token prices using the selected ratio (default 7:2:1 cache-input-output).

Output Speed vs. Price

Blended at 7:2:1 (cache-input-output) · Output speed: output tokens per second · USD per 1M tokens (blended)
Most attractive quadrant
No data available

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Speed

Measured by Output Speed (tokens per second)

Output Speed: Magistral Medium 1

Output speed: output tokens per second · 10,000 input tokens
No data available

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Latency vs. Output Speed

Latency: seconds to first token received · Output speed: output tokens per second · 10,000 input tokens
Most attractive quadrant
No data available

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Latency

Measured by Time (seconds) to First Token

Time to First Answer Token

Seconds to first token received · Lower is better · 10,000 input tokens
No data available

Time to first answer token received, in seconds, after API request sent. For reasoning models, this includes the 'thinking' time of the model before providing an answer. For models which do not support streaming, this represents time to receive the completion.

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

Seconds to output 500 tokens, including reasoning model 'thinking' time · Lower is better · 10,000 input tokens
No data available

Seconds to receive a 500 token response. Key components:

  • Input time: Time to receive the first response token
  • Thinking time (only for reasoning models): Time reasoning models spend outputting tokens to reason prior to providing an answer. Amount of tokens based on the average reasoning tokens across a diverse set of 60 prompts (methodology details).
  • Answer time: Time to generate 500 output tokens, based on output speed

Key Comparison Metrics & API Features

No results.

Frequently Asked Questions

Common questions about Magistral Medium 1 providers

Magistral Medium 1 is not currently available through any API providers we benchmark. Check back later for availability updates.