As of August 30, 2026, MiniMax M1 40K is 50% cheaper per million tokens than Muse Spark 1.1. MiniMax M1 40K is $0.55 / $2.20 per million input/output tokens versus Muse Spark 1.1 at $1.25 / $4.25. Sources: https://openrouter.ai/minimax/minimax-m1 and https://llama.meta.com/
Sources: OpenRouter pricing (https://openrouter.ai/minimax/minimax-m1); Meta pricing (https://llama.meta.com/)
MiniMax M1 40K
MiniMax
Input
$0.55
Output
$2.20
Muse Spark 1.1
Meta
Input
$1.25
Output
$4.25
Token pricing, specs, and benchmarks side by side
Each bar is share of the current leader on that eval. Click a row to open the board.
SWE-bench Verified. Left is cheaper. Up is a higher score. The line is the best score you can buy at each price.
MiniMax M1 40KMuse Spark 1.1Verdict
MiniMax M1 40K offers significantly lower pricing, while Muse Spark 1.1 leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.
As of August 30, 2026, MiniMax M1 40K is 50% cheaper on blended LLM API pricing. MiniMax M1 40K costs $0.55 per million input tokens and $2.20 per million output tokens ($2.75 blended 1M-in + 1M-out). Muse Spark 1.1 costs $1.25 / $4.25 per million tokens ($5.50 blended). Sources: https://openrouter.ai/minimax/minimax-m1 and https://llama.meta.com/. The cheapest LLM for your app still depends on how many output tokens you generate.
MiniMax M1 40K OpenRouter API pricing is $0.55 input and $2.20 output per million tokens via OpenRouter. 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.
Muse Spark 1.1 leads on SWE-bench Verified: MiniMax M1 40K at 55.6% vs Muse Spark 1.1 at 82%. SWE-bench measures real GitHub fixes; LiveCodeBench measures contest programming.
MiniMax M1 40K supports a 41K 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.
Muse Spark 1.1 leads on 4 of 4 shared benchmarks versus MiniMax M1 40K'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.
Both MiniMax M1 40K and Muse Spark 1.1 are production API models. For cost-sensitive production traffic, MiniMax M1 40K 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 MiniMax M1 40K through OpenRouter 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.
List rates are the latest published OpenRouter API pricing and Meta API pricing, quoted per million tokens. Official rate sheets: https://openrouter.ai/minimax/minimax-m1 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.
MiniMax M1 40K supports up to an unspecified number of 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.
Muse Spark 1.1 has a measured throughput of approximately 6.2 tokens/second. Throughput data for MiniMax M1 40K 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 MiniMax M1 40K 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.
This comparison covers API pricing, context window, throughput, and benchmark scores. MiniMax M1 40K costs $0.55/M input and $2.20/M output via OpenRouter. 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.
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