Qwen3-Coder-NextvsGLM-4-9B
Qwen3-Coder-Next | GLM-4-9B | |
|---|---|---|
| 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. | 80B | 9B |
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. | $0.30 | — |
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. | $1.50 | — |
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. | $0.12Parasail | — |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | $0.80Parasail | — |
| BenchmarksPublished by one model only | ||
SWE-Bench ProAgentic coding — Can the AI fix real bugs in real software? It's handed actual problems from open-source projects and has to write code that genuinely solves them. Higher is better. | 44.3% | — |
SWE-Bench VerifiedCoding — Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | 70.6% | — |
SWE-Bench MultilingualMultilingual coding — Like SWE-Bench, but the coding problems span many programming languages, not just one. Tests how broadly the AI can code. Higher is better. | 62.8% | — |
Terminal-Bench 2.0Agentic terminal coding — Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? (Version 2.0 of the test.) Higher is better. | 36.2% | — |
| Overview | ||
| Company | Qwen | Z.ai |
| Release date | Feb 3 2026 | Jun 5 2024 |
| Access | Open Weight | Open Weight |
Other comparisons
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Frequently asked questions
Qwen3-Coder-Next 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-Coder-Next has a verified first-party API price: $0.30 per million input tokens and $1.50 per million output tokens. No pay-as-you-go API rate is tracked for GLM-4-9B. GLM-4-9B shipped 608 days before Qwen3-Coder-Next, so benchmark comparisons should account for the intervening progress.
Qwen3-Coder-Next has 80B parameters, while GLM-4-9B has 9B.
Direct benchmark comparisons are unavailable — Qwen3-Coder-Next and GLM-4-9B don't publish scores on any of the same benchmarks.