Which is cheaper, GLM-4.5-Air or Kimi K2-Instruct-0905?
As of August 25, 2026, GLM-4.5-Air is 58% cheaper on blended LLM API pricing. GLM-4.5-Air costs $0.20 per million input tokens and $1.10 per million output tokens ($1.30 blended 1M-in + 1M-out). Kimi K2-Instruct-0905 costs $0.60 / $2.50 per million tokens ($3.10 blended). Sources: https://docs.z.ai/guides/overview/pricing and https://openrouter.ai/api/v1/models. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does GLM-4.5-Air vs Kimi K2-Instruct-0905 cost per million tokens?
GLM-4.5-Air Z AI API pricing is $0.20 input and $1.10 output per million tokens via Z AI. Kimi K2-Instruct-0905 OpenRouter API pricing is $0.60 input and $2.50 output per million tokens via OpenRouter. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Which is better for coding, GLM-4.5-Air or Kimi K2-Instruct-0905?
Kimi K2-Instruct-0905 leads on SWE-bench Verified: GLM-4.5-Air at 57.6% vs Kimi K2-Instruct-0905 at 65.8%. SWE-bench measures real GitHub fixes; LiveCodeBench measures contest programming.
What is the context window for GLM-4.5-Air vs Kimi K2-Instruct-0905?
GLM-4.5-Air supports a 131K token context window, while Kimi K2-Instruct-0905 supports 262K tokens. Kimi K2-Instruct-0905 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, GLM-4.5-Air or Kimi K2-Instruct-0905?
GLM-4.5-Air leads on 7 of 9 shared benchmarks versus Kimi K2-Instruct-0905's 2 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-4.5-Air or Kimi K2-Instruct-0905 better for production use?
Both GLM-4.5-Air and Kimi K2-Instruct-0905 are production API models. For cost-sensitive production traffic, GLM-4.5-Air 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-4.5-Air and Kimi K2-Instruct-0905 in my app?
Yes. Call GLM-4.5-Air through Z AI and Kimi K2-Instruct-0905 through OpenRouter 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-4.5-Air vs Kimi K2-Instruct-0905 pricing data?
List rates are the latest published Z AI API pricing and OpenRouter API pricing, quoted per million tokens. Official rate sheets: https://docs.z.ai/guides/overview/pricing and https://openrouter.ai/api/v1/models. 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-4.5-Air and Kimi K2-Instruct-0905?
GLM-4.5-Air supports up to an unspecified number of output tokens per request, while Kimi K2-Instruct-0905 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.
Which model has better throughput, GLM-4.5-Air or Kimi K2-Instruct-0905?
Neither GLM-4.5-Air nor Kimi K2-Instruct-0905 has published throughput data on this page yet. 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-4.5-Air vs Kimi K2-Instruct-0905 comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open GLM-4.5-Air or Kimi K2-Instruct-0905 from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
