GLM-5.2 vs Muse Spark 1.1

Comparison

As of August 20, 2026, Muse Spark 1.1 is 5% cheaper per million tokens than GLM-5.2. GLM-5.2 is $1.40 / $4.40 per million input/output tokens versus Muse Spark 1.1 at $1.25 / $4.25. Sources: https://docs.z.ai/guides/overview/pricing and https://llama.meta.com/

Sources: Z AI pricing (https://docs.z.ai/guides/overview/pricing); Meta pricing (https://llama.meta.com/)

GLM-5.2

Z AI

$5.80blended / 1M

Input

$1.40

Output

$4.40

1M ctx|Open Source

cheaper

Better value

Muse Spark 1.1

GLM-5.2 vs Muse Spark 1.1 comparison

Token pricing, specs, and benchmarks side by side

Metric

GLM-5.2

Muse Spark 1.1

Provider

Z AI

GLM-5.2 vs Muse Spark 1.1: the bottom line

Muse Spark 1.1 offers both lower pricing and stronger benchmark performance across the board, making it the clear value leader in this comparison.

View GLM-5.2 details View Muse Spark 1.1 details

GLM-5.2 vs Muse Spark 1.1 FAQ

Which is cheaper, GLM-5.2 or Muse Spark 1.1?

As of August 20, 2026, Muse Spark 1.1 is 5% 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). GLM-5.2 costs $1.40 / $4.40 per million tokens ($5.80 blended). Sources: https://docs.z.ai/guides/overview/pricing and https://llama.meta.com/. The cheapest LLM for your app still depends on how many output tokens you generate.

How much does GLM-5.2 vs Muse Spark 1.1 cost per million tokens?

GLM-5.2 Z AI API pricing is $1.40 input and $4.40 output per million tokens via Z 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, GLM-5.2 or Muse Spark 1.1?

Muse Spark 1.1 leads on SWE-bench Verified: GLM-5.2 at 78.7% vs Muse Spark 1.1 at 82%. SWE-bench measures real GitHub fixes; LiveCodeBench measures contest programming.

What is the context window for GLM-5.2 vs Muse Spark 1.1?

GLM-5.2 supports a 1M token context window, while Muse Spark 1.1 supports 1M tokens. Both models have the same context window size. 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, GLM-5.2 or Muse Spark 1.1?

Muse Spark 1.1 leads on 18 of 24 shared benchmarks versus GLM-5.2's 6 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 GLM-5.2 or Muse Spark 1.1 better for production use?

Both GLM-5.2 and Muse Spark 1.1 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.

Can I switch between GLM-5.2 and Muse Spark 1.1 in my app?

Yes. Call GLM-5.2 through Z 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 GLM-5.2 vs Muse Spark 1.1 pricing data?

List rates are the latest published Z AI API pricing and Meta API pricing, quoted per million tokens. Official rate sheets: https://docs.z.ai/guides/overview/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 GLM-5.2 and Muse Spark 1.1?

GLM-5.2 supports up to 131K 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, GLM-5.2 or Muse Spark 1.1?

Muse Spark 1.1 has a measured throughput of approximately 6.152425085592334 tokens/second. Throughput data for GLM-5.2 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 GLM-5.2 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 GLM-5.2 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.

GLM-5.2 vs Muse Spark 1.1 pricing

This comparison covers API pricing, context window, throughput, and benchmark scores. GLM-5.2 costs $1.40/M input and $4.40/M output. 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.