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. | — | 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. | 200k | 128k |
| API pricingUSD per 1M tokens · lower wins | ||
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. | $1.10OpenAI | — |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | $4.40OpenAI | — |
| $440OpenAI | — | |
| Overview | ||
| Company | OpenAI | Z.ai |
| Release date | Jan 31 2025 | Jun 5 2024 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
o3-mini-highvsClaude Haiku 5.5GLM-4-9BvsClaude Haiku 5.5o3-mini-highvsGemini 4 ArgonGLM-4-9BvsGemini 4 Argono3-mini-highvsMuse Spark OpenGLM-4-9BvsMuse Spark Openo3-mini-highvsGrok 4.7GLM-4-9BvsGrok 4.7o3-mini-highvsDeepSeek-V4.1-Flash-1017GLM-4-9BvsDeepSeek-V4.1-Flash-1017o3-mini-highvsMistral Large 4GLM-4-9BvsMistral Large 4Frequently asked questions
o3-mini-high and GLM-4-9B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. GLM-4-9B shipped 240 days before o3-mini-high, so benchmark comparisons should account for the intervening progress.
Context windows are 200k (o3-mini-high) vs 128k (GLM-4-9B). o3-mini-high is closed, while GLM-4-9B is open weight.
Direct benchmark comparisons are unavailable — o3-mini-high and GLM-4-9B don't publish scores on any of the same benchmarks.