As of August 20, 2026, Laguna XS 2.1 is 93% cheaper per million tokens than GLM-5. GLM-5 is $1.00 / $3.20 per million input/output tokens versus Laguna XS 2.1 at $0.10 / $0.20. Sources: https://docs.z.ai/guides/overview/pricing and https://poolside.ai
Sources: Z AI pricing (https://docs.z.ai/guides/overview/pricing); Poolside pricing (https://poolside.ai)
GLM-5
Z AI
Input
$1.00
Output
$3.20
Laguna XS 2.1
Poolside
Input
$0.10
Output
$0.20
Token pricing, specs, and benchmarks side by side
GLM-5Laguna XS 2.1Verdict
Laguna XS 2.1 offers significantly lower pricing, while GLM-5 leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.
As of August 20, 2026, Laguna XS 2.1 is 93% cheaper on blended LLM API pricing. Laguna XS 2.1 costs $0.10 per million input tokens and $0.20 per million output tokens ($0.30 blended 1M-in + 1M-out). GLM-5 costs $1.00 / $3.20 per million tokens ($4.20 blended). Sources: https://docs.z.ai/guides/overview/pricing and https://poolside.ai. The cheapest LLM for your app still depends on how many output tokens you generate.
GLM-5 Z AI API pricing is $1.00 input and $3.20 output per million tokens via Z AI. Laguna XS 2.1 Poolside API pricing is $0.10 input and $0.20 output per million tokens via Poolside. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
GLM-5 leads on SWE-bench Verified: GLM-5 at 77.8% vs Laguna XS 2.1 at 70.9%. SWE-bench measures real GitHub fixes; LiveCodeBench measures contest programming.
GLM-5 supports a 200K token context window, while Laguna XS 2.1 supports 262K tokens. Laguna XS 2.1 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.
GLM-5 leads on 3 of 3 shared benchmarks versus Laguna XS 2.1'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 GLM-5 and Laguna XS 2.1 are production API models. For cost-sensitive production traffic, Laguna XS 2.1 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 GLM-5 through Z AI and Laguna XS 2.1 through Poolside 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 Z AI API pricing and Poolside API pricing, quoted per million tokens. Official rate sheets: https://docs.z.ai/guides/overview/pricing and https://poolside.ai. 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.
GLM-5 supports up to 128K output tokens per request, while Laguna XS 2.1 supports up to an unspecified number of output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
GLM-5 has a measured throughput of approximately 30 tokens/second. Throughput data for Laguna XS 2.1 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 GLM-5 or Laguna XS 2.1 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. GLM-5 costs $1.00/M input and $3.20/M output. Laguna XS 2.1 costs $0.10/M input and $0.20/M output.
Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
The index
280 models across 33 providers. Search or jump to a lab — every model page stays linked here.
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