As of August 20, 2026, Muse Spark 1.1 and o4-mini have the same blended API cost at $5.50 per 1 million input plus 1 million output tokens. Muse Spark 1.1 is $1.25 / $4.25 per million tokens versus o4-mini at $1.10 / $4.40. Sources: https://llama.meta.com/ and https://developers.openai.com/api/docs/pricing
Sources: Meta pricing (https://llama.meta.com/); OpenAI API pricing (https://developers.openai.com/api/docs/pricing)
Muse Spark 1.1
Meta
Input
$1.25
Output
$4.25
o4-mini
OpenAI
Input
$1.10
Output
$4.40
Token pricing, specs, and benchmarks side by side
Muse Spark 1.1o4-miniVerdict
Muse Spark 1.1 offers both lower pricing and stronger benchmark performance across the board, making it the clear value leader in this comparison.
As of August 20, 2026, Muse Spark 1.1 is 0% cheaper on blended LLM API pricing. Muse Spark 1.1 costs $1.25 per million input tokens and $4.25 per million output tokens ($5.50 blended 1M-in + 1M-out). o4-mini costs $1.10 / $4.40 per million tokens ($5.50 blended). Sources: https://llama.meta.com/ and https://developers.openai.com/api/docs/pricing. The cheapest LLM for your app still depends on how many output tokens you generate.
Muse Spark 1.1 Meta API pricing is $1.25 input and $4.25 output per million tokens via Meta. o4-mini OpenAI API pricing is $1.10 input and $4.40 output per million tokens via OpenAI. 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: Muse Spark 1.1 at 82% vs o4-mini at 68.1%. SWE-bench measures real GitHub fixes; LiveCodeBench measures contest programming.
Muse Spark 1.1 supports a 1M token context window, while o4-mini supports 200K 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 12 of 12 shared benchmarks versus o4-mini'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 Muse Spark 1.1 and o4-mini are production API models. For cost-sensitive production traffic, Muse Spark 1.1 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 Muse Spark 1.1 through Meta and o4-mini through OpenAI 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 Meta API pricing and OpenAI API pricing, quoted per million tokens. Official rate sheets: https://llama.meta.com/ and https://developers.openai.com/api/docs/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.
Muse Spark 1.1 supports up to 131K output tokens per request, while o4-mini supports up to 100K 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 runs at approximately 6.152425085592334 tokens/second while o4-mini runs at 115 tokens/second. o4-mini 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.
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Muse Spark 1.1 or o4-mini 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. Muse Spark 1.1 costs $1.25/M input and $4.25/M output. o4-mini costs $1.10/M input and $4.40/M output.
Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
The index
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