Mistral Small vs Muse Spark 1.1

Comparison

As of August 20, 2026, Mistral Small is 85% cheaper per million tokens than Muse Spark 1.1. Mistral Small is $0.20 / $0.60 per million input/output tokens versus Muse Spark 1.1 at $1.25 / $4.25. Sources: https://docs.mistral.ai/platform/pricing/ and https://llama.meta.com/

Sources: Mistral AI pricing (https://docs.mistral.ai/platform/pricing/); Meta pricing (https://llama.meta.com/)

Better value

Mistral Small

Mistral

$0.80blended / 1M

Input

$0.20

Output

$0.60

32.8K ctx|Open Source

85%

cheaper

Muse Spark 1.1

Mistral Small vs Muse Spark 1.1 comparison

Token pricing, specs, and benchmarks side by side

Metric

Mistral Small

Muse Spark 1.1

Provider

Mistral

Mistral Small vs Muse Spark 1.1: the bottom line

Both models are closely matched on benchmarks. Mistral Small has the pricing advantage, making it the better value unless Muse Spark 1.1's specific capabilities are critical to your workflow.

View Mistral Small details View Muse Spark 1.1 details

Mistral Small vs Muse Spark 1.1 FAQ

Which is cheaper, Mistral Small or Muse Spark 1.1?

As of August 20, 2026, Mistral Small is 85% cheaper on blended LLM API pricing. Mistral Small costs $0.20 per million input tokens and $0.60 per million output tokens ($0.80 blended 1M-in + 1M-out). Muse Spark 1.1 costs $1.25 / $4.25 per million tokens ($5.50 blended). Sources: https://docs.mistral.ai/platform/pricing/ and https://llama.meta.com/. The cheapest LLM for your app still depends on how many output tokens you generate.

How much does Mistral Small vs Muse Spark 1.1 cost per million tokens?

Mistral Small Mistral API pricing is $0.20 input and $0.60 output per million tokens via Mistral AI. Muse Spark 1.1 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.

Which is better for coding, Mistral Small or Muse Spark 1.1?

Muse Spark 1.1 has a published SWE-bench Verified score of 82%. Mistral Small does not have that eval on this page yet.

What is the context window for Mistral Small vs Muse Spark 1.1?

Mistral Small supports a 33K token context window, while Muse Spark 1.1 supports 1M tokens. Muse Spark 1.1 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.

Which model performs better on benchmarks, Mistral Small or Muse Spark 1.1?

Shared benchmark scores for Mistral Small and Muse Spark 1.1 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.

Is Mistral Small or Muse Spark 1.1 better for production use?

Both Mistral Small and Muse Spark 1.1 are production API models. For cost-sensitive production traffic, Mistral Small 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.

Can I switch between Mistral Small and Muse Spark 1.1 in my app?

Yes. Call Mistral Small through Mistral AI and Muse Spark 1.1 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.

How accurate is this Mistral Small vs Muse Spark 1.1 pricing data?

List rates are the latest published Mistral API pricing and Meta API pricing, quoted per million tokens. Official rate sheets: https://docs.mistral.ai/platform/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.

What is the output token limit for Mistral Small and Muse Spark 1.1?

Mistral Small supports up to 33K output tokens per request, while Muse Spark 1.1 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.

Which model has better throughput, Mistral Small or Muse Spark 1.1?

Mistral Small runs at approximately 0.1 tokens/second while Muse Spark 1.1 runs at 6.152425085592334 tokens/second. Muse Spark 1.1 is faster in raw throughput. 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.

How do I switch the models in this Mistral Small vs Muse Spark 1.1 comparison?

Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Mistral Small or Muse Spark 1.1 from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

Mistral Small vs Muse Spark 1.1 pricing

This comparison covers API pricing, context window, throughput, and benchmark scores. Mistral Small costs $0.20/M input and $0.60/M output via Mistral AI. Muse Spark 1.1 costs $1.25/M input and $4.25/M output.

Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.