Compare AI models
| Specifications | ||
ParametersThe learned values that shape how a model responds. B means billion and T means trillion. For mixture-of-experts models, the total count is larger than the number active for each token. Parameter count alone does not measure quality. | 397B | 9B |
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider. | 1M | 128k |
| API pricingUSD per 1M tokens · lower wins · base tier | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | $0.40 | — |
Output priceWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one. | $2.40 | — |
Cheapest inputLowest input rate across every provider on OpenRouter, the lab included. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | $0.26Alibaba | — |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | $1.56Alibaba | — |
| $130Alibaba | — | |
| Overview | ||
| Company | Qwen | Z.ai |
| Release date | Feb 16 2026 | Jun 5 2024 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Qwen3.5-PlusvsClaude Haiku 5.5GLM-4-9BvsClaude Haiku 5.5Qwen3.5-PlusvsGPT-6.1 SolGLM-4-9BvsGPT-6.1 SolQwen3.5-PlusvsGemini 4 ArgonGLM-4-9BvsGemini 4 ArgonQwen3.5-PlusvsMuse Spark OpenGLM-4-9BvsMuse Spark OpenQwen3.5-PlusvsGrok 4.7GLM-4-9BvsGrok 4.7Qwen3.5-PlusvsDeepSeek-V4.1-Flash-1017GLM-4-9BvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Qwen3.5-Plus and GLM-4-9B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only Qwen3.5-Plus has a verified first-party API price: $0.40 per million input tokens and $2.40 per million output tokens. No pay-as-you-go API rate is tracked for GLM-4-9B. GLM-4-9B shipped 621 days before Qwen3.5-Plus, so benchmark comparisons should account for the intervening progress.
Qwen3.5-Plus has 397B parameters, while GLM-4-9B has 9B. Context windows are 1M (Qwen3.5-Plus) vs 128k (GLM-4-9B). Qwen3.5-Plus is closed, while GLM-4-9B is open weight.
Direct benchmark comparisons are unavailable — Qwen3.5-Plus and GLM-4-9B don't publish scores on any of the same benchmarks.