As of August 20, 2026, Muse Spark 1.2 is 21% cheaper per million tokens than Magistral Medium. Magistral Medium is $2.00 / $5.00 per million input/output tokens versus Muse Spark 1.2 at $1.25 / $4.25. Sources: https://anotherwrapper.com/tools/llm-pricing and https://llama.meta.com/
Sources: AnotherWrapper LLM pricing (https://anotherwrapper.com/tools/llm-pricing); Meta pricing (https://llama.meta.com/)
Magistral Medium
Mistral
Input
$2.00
Output
$5.00
Muse Spark 1.2
Meta
Input
$1.25
Output
$4.25
Token pricing, specs, and benchmarks side by side
Magistral MediumMuse Spark 1.2Verdict
Both models are closely matched on benchmarks. Muse Spark 1.2 has the pricing advantage, making it the better value unless Magistral Medium's specific capabilities are critical to your workflow.
As of August 20, 2026, Muse Spark 1.2 is 21% cheaper on blended LLM API pricing. Muse Spark 1.2 costs $1.25 per million input tokens and $4.25 per million output tokens ($5.50 blended 1M-in + 1M-out). Magistral Medium costs $2.00 / $5.00 per million tokens ($7.00 blended). Sources: https://anotherwrapper.com/tools/llm-pricing and https://llama.meta.com/. The cheapest LLM for your app still depends on how many output tokens you generate.
Magistral Medium Mistral API pricing is $2.00 input and $5.00 output per million tokens via Mistral AI. Muse Spark 1.2 Meta API pricing is $1.25 input and $4.25 output per million tokens via Meta. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Muse Spark 1.2 has a published SWE-bench Verified score of 86.6%. Magistral Medium does not have that eval on this page yet.
Magistral Medium supports a 40K token context window, while Muse Spark 1.2 supports 1M tokens. Muse Spark 1.2 offers a larger context window. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.
Shared benchmark scores for Magistral Medium and Muse Spark 1.2 are still limited. Check the comparison table for the evals each model has published. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.
Both Magistral Medium and Muse Spark 1.2 are production API models. For cost-sensitive production traffic, Muse Spark 1.2 has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.
Yes. Call Magistral Medium through Mistral AI and Muse Spark 1.2 through Meta with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.
List rates are the latest published Mistral API pricing and Meta API pricing, quoted per million tokens. Official rate sheets: https://anotherwrapper.com/tools/llm-pricing and https://llama.meta.com/. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.
Magistral Medium supports up to an unspecified number of output tokens per request, while Muse Spark 1.2 supports up to 131K output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
Muse Spark 1.2 has a measured throughput of approximately 22.636101613788817 tokens/second. Throughput data for Magistral Medium is not yet available. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Magistral Medium or Muse Spark 1.2 from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
This comparison covers API pricing, context window, throughput, and benchmark scores. Magistral Medium costs $2.00/M input and $5.00/M output via Mistral AI. Muse Spark 1.2 costs $1.25/M input and $4.25/M output.
Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
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