Muse Spark 1.2 vs Qwen3.5-122B-A10B

Comparison

As of August 20, 2026, Qwen3.5-122B-A10B is 35% cheaper per million tokens than Muse Spark 1.2. Muse Spark 1.2 is $1.25 / $4.25 per million input/output tokens versus Qwen3.5-122B-A10B at $0.40 / $3.20. Sources: https://llama.meta.com/ and https://bailian.console.aliyun.com/

Sources: Meta pricing (https://llama.meta.com/); Qwen pricing (https://bailian.console.aliyun.com/)

Muse Spark 1.2

Muse Spark 1.2 vs Qwen3.5-122B-A10B comparison

Token pricing, specs, and benchmarks side by side

Metric

Muse Spark 1.2

Qwen3.5-122B-A10B

Provider

Muse Spark 1.2 vs Qwen3.5-122B-A10B: the bottom line

Qwen3.5-122B-A10B offers significantly lower pricing, while Muse Spark 1.2 leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

View Muse Spark 1.2 details View Qwen3.5-122B-A10B details

Muse Spark 1.2 vs Qwen3.5-122B-A10B FAQ

Which is cheaper, Muse Spark 1.2 or Qwen3.5-122B-A10B?

As of August 20, 2026, Qwen3.5-122B-A10B is 35% cheaper on blended LLM API pricing. Qwen3.5-122B-A10B costs $0.40 per million input tokens and $3.20 per million output tokens ($3.60 blended 1M-in + 1M-out). Muse Spark 1.2 costs $1.25 / $4.25 per million tokens ($5.50 blended). Sources: https://llama.meta.com/ and https://bailian.console.aliyun.com/. The cheapest LLM for your app still depends on how many output tokens you generate.

How much does Muse Spark 1.2 vs Qwen3.5-122B-A10B cost per million tokens?

Muse Spark 1.2 Meta API pricing is $1.25 input and $4.25 output per million tokens via Meta. Qwen3.5-122B-A10B Qwen API pricing is $0.40 input and $3.20 output per million tokens via Qwen. 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 Qwen3.5-122B-A10B?

Muse Spark 1.2 leads on SWE-bench Verified: Muse Spark 1.2 at 86.6% vs Qwen3.5-122B-A10B at 72%. SWE-bench measures real GitHub fixes; LiveCodeBench measures contest programming.

What is the context window for Muse Spark 1.2 vs Qwen3.5-122B-A10B?

Muse Spark 1.2 supports a 1M token context window, while Qwen3.5-122B-A10B supports 262K 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 Qwen3.5-122B-A10B?

Muse Spark 1.2 leads on 4 of 4 shared benchmarks versus Qwen3.5-122B-A10B'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 Qwen3.5-122B-A10B better for production use?

Both Muse Spark 1.2 and Qwen3.5-122B-A10B are production API models. For cost-sensitive production traffic, Qwen3.5-122B-A10B 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 Qwen3.5-122B-A10B in my app?

Yes. Call Muse Spark 1.2 through Meta and Qwen3.5-122B-A10B through Qwen 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 Qwen3.5-122B-A10B pricing data?

List rates are the latest published Meta API pricing and Qwen API pricing, quoted per million tokens. Official rate sheets: https://llama.meta.com/ and https://bailian.console.aliyun.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 Muse Spark 1.2 and Qwen3.5-122B-A10B?

Muse Spark 1.2 supports up to 131K output tokens per request, while Qwen3.5-122B-A10B supports up to 64K 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 Qwen3.5-122B-A10B?

Muse Spark 1.2 has a measured throughput of approximately 22.636101613788817 tokens/second. Throughput data for Qwen3.5-122B-A10B 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.

How do I switch the models in this Muse Spark 1.2 vs Qwen3.5-122B-A10B 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 Qwen3.5-122B-A10B 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 Qwen3.5-122B-A10B 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. Qwen3.5-122B-A10B costs $0.40/M input and $3.20/M output.

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