Muse Spark 1.2 vs Pixtral Large

Comparison

As of August 20, 2026, Muse Spark 1.2 is 31% cheaper per million tokens than Pixtral Large. Muse Spark 1.2 is $1.25 / $4.25 per million input/output tokens versus Pixtral Large at $2.00 / $6.00. Sources: https://llama.meta.com/ and https://docs.mistral.ai/platform/pricing/

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

Better value

Muse Spark 1.2

Muse Spark 1.2 vs Pixtral Large comparison

Token pricing, specs, and benchmarks side by side

Metric

Muse Spark 1.2

Pixtral Large

Provider

Muse Spark 1.2 vs Pixtral Large: the bottom line

Muse Spark 1.2 offers both lower pricing and stronger benchmark performance across the board, making it the clear value leader in this comparison.

View Muse Spark 1.2 details View Pixtral Large details

Muse Spark 1.2 vs Pixtral Large FAQ

Which is cheaper, Muse Spark 1.2 or Pixtral Large?

As of August 20, 2026, Muse Spark 1.2 is 31% 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). Pixtral Large costs $2.00 / $6.00 per million tokens ($8.00 blended). Sources: https://llama.meta.com/ and https://docs.mistral.ai/platform/pricing/. The cheapest LLM for your app still depends on how many output tokens you generate.

How much does Muse Spark 1.2 vs Pixtral Large cost per million tokens?

Muse Spark 1.2 Meta API pricing is $1.25 input and $4.25 output per million tokens via Meta. Pixtral Large Mistral API pricing is $2.00 input and $6.00 output per million tokens via Mistral AI. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.

Which is better for coding, Muse Spark 1.2 or Pixtral Large?

Muse Spark 1.2 has a published SWE-bench Verified score of 86.6%. Pixtral Large does not have that eval on this page yet.

What is the context window for Muse Spark 1.2 vs Pixtral Large?

Muse Spark 1.2 supports a 1M token context window, while Pixtral Large supports 128K 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.

Which model performs better on benchmarks, Muse Spark 1.2 or Pixtral Large?

Muse Spark 1.2 leads on 1 of 1 shared benchmarks versus Pixtral Large's 0 wins. 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 Muse Spark 1.2 or Pixtral Large better for production use?

Both Muse Spark 1.2 and Pixtral Large 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.

Can I switch between Muse Spark 1.2 and Pixtral Large in my app?

Yes. Call Muse Spark 1.2 through Meta and Pixtral Large through Mistral AI 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 Muse Spark 1.2 vs Pixtral Large pricing data?

List rates are the latest published Meta API pricing and Mistral API pricing, quoted per million tokens. Official rate sheets: https://llama.meta.com/ and https://docs.mistral.ai/platform/pricing/. 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 Muse Spark 1.2 and Pixtral Large?

Muse Spark 1.2 supports up to 131K output tokens per request, while Pixtral Large supports up to 128K 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, Muse Spark 1.2 or Pixtral Large?

Muse Spark 1.2 runs at approximately 22.636101613788817 tokens/second while Pixtral Large runs at 0.1 tokens/second. Muse Spark 1.2 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 Muse Spark 1.2 vs Pixtral Large comparison?

Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Muse Spark 1.2 or Pixtral Large from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

Muse Spark 1.2 vs Pixtral Large pricing

This comparison covers API pricing, context window, throughput, and benchmark scores. Muse Spark 1.2 costs $1.25/M input and $4.25/M output. Pixtral Large costs $2.00/M input and $6.00/M output via Mistral AI.

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