Qwen3-CodervsChatGLM-6B
Qwen3-Coder | ChatGLM-6B | |
|---|---|---|
| Specifications | ||
ParametersA rough measure of how big the model is. More parameters usually means more capable and more expensive to run, though it is a poor guide on its own — a smaller, newer model often beats a larger, older one. | 480B | 6B |
Context windowHow much text the model can hold in mind at once — your question, any documents you attach, the conversation so far, and its own reply. Go past it and the earliest part falls out of view. | 256k | — |
| 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. | $1.00 | — |
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. | $5.00 | — |
Cheapest inputLowest input rate across third-party providers, excluding the lab itself. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | $0.22Google | — |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | $1.55Novita | — |
| BenchmarksPublished by one model only | ||
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | 20% | — |
| Overview | ||
| Company | Qwen | Z.ai |
| Release date | Jul 22 2025 | Mar 14 2023 |
| Access | Open Weight | Open Weight |
Other comparisons
Qwen3-CodervsClaude Fable 5.1ChatGLM-6BvsClaude Fable 5.1Qwen3-CodervsGPT-6 AstraChatGLM-6BvsGPT-6 AstraQwen3-CodervsGemini 3.8 FlashChatGLM-6BvsGemini 3.8 FlashQwen3-CodervsMuse Spark 1.3ChatGLM-6BvsMuse Spark 1.3Qwen3-CodervsGrok 4.6ChatGLM-6BvsGrok 4.6Qwen3-CodervsDeepSeek-V4.1-FlashChatGLM-6BvsDeepSeek-V4.1-Flash
Frequently asked questions
Qwen3-Coder and ChatGLM-6B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only Qwen3-Coder has a verified first-party API price: $1.00 per million input tokens and $5.00 per million output tokens. No pay-as-you-go API rate is tracked for ChatGLM-6B. ChatGLM-6B shipped 861 days before Qwen3-Coder, so benchmark comparisons should account for the intervening progress.
Qwen3-Coder has 480B parameters, while ChatGLM-6B has 6B.
Direct benchmark comparisons are unavailable — Qwen3-Coder and ChatGLM-6B don't publish scores on any of the same benchmarks.