Mistral Medium 3.5 vs Muse Spark 1.3 pricing

Prices

Mistral Medium 3.5 and Muse Spark 1.3 prices, USD per 1M tokens
USD per 1M tokensMistral Medium 3.5Muse Spark 1.3
Input$1.50$1.25
Output$7.50$4.25
Cache read$0.15$0.15
Cache writeNot publishedNot published
Batch inputNot publishedNot published
Batch outputNot publishedNot published

Mistral's list price for its own API, as compiled by models.dev and checked Oct 10, 2026, 09:00 UTC. Prices on cloud platforms and resellers can differ. Provider documentation

Monthly cost by workload

WorkloadMistral Medium 3.5Muse Spark 1.3
Chatbot1,000 in / 500 out tokens, 10,000 requests a day$1,575/mo$1,013/mo
RAG8,000 in / 500 out tokens, 5,000 requests a day$2,363/mo$1,819/mo
Coding agent50,000 in / 2,000 out tokens, 1,000 requests a day, 80% cached input$1,080/mo$810.00/mo

Cost = input tokens × input price + output tokens × output price, 30 days a month. Cached input uses the cache read price. Cache write fees are not included.

Context and capabilities

Mistral Medium 3.5Muse Spark 1.3
Context262,144 tokens1,048,576 tokens
Max output262,144 tokens131,072 tokens
Inputtext, imagetext, image, video, pdf, audio
Tool callingYesYes
ReasoningYesYes
Structured outputsYesYes

Questions

What is the price difference between Mistral Medium 3.5 and Muse Spark 1.3?
Mistral Medium 3.5: $1.50 per 1M input tokens and $7.50 per 1M output tokens. Muse Spark 1.3: $1.25 per 1M input tokens and $4.25 per 1M output tokens. For the Chatbot workload (1,000 in / 500 out tokens, 10,000 requests a day), that is about $1,575 per month for Mistral Medium 3.5 and $1,013 for Muse Spark 1.3.
Which has the longer context window, Mistral Medium 3.5 or Muse Spark 1.3?
Muse Spark 1.3 has the longer context window: up to 1,048,576 tokens, compared with 262,144 for Mistral Medium 3.5.
Do Mistral Medium 3.5 and Muse Spark 1.3 have prompt caching and batch prices?
Mistral Medium 3.5: cached input $0.15 per 1M tokens; no batch price published. Muse Spark 1.3: cached input $0.15 per 1M tokens; no batch price published.

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