Qwen3.7-PlusvsGLM-4.7
Qwen3.7-Plus | GLM-4.7 | |
|---|---|---|
| Specifications | ||
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. | — | 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 | $0.60 |
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. | $1.60 | $2.20 |
Cached input priceA reduced rate for text you send over and over. If every request starts with the same instructions or the same document, the provider keeps a copy ready and charges less to read it again. | — | $0.11 |
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. | — | $0.40DeepInfra |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | — | $1.75DeepInfra |
| Benchmarks | ||
LiveCodeBenchCompetitive coding — Coding problems published so recently the AI can't have seen them in training — a contamination-free test of raw programming skill. Higher is better. | 89.6% | 84.9% |
| BenchmarksPublished by one model only | ||
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. | — | 73.8% |
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. | — | 41% |
BrowseCompWeb browsing — Can the AI browse the web and track down hard-to-find answers? Higher is better. | — | 52% |
Humanity's Last Exam · no toolsMultidisciplinary reasoning — Humanity's Last Exam — extremely hard expert questions across many subjects, written so you can't just look up the answer. “No tools” means the AI answers on its own. Higher is better. | — | 24.8% |
Humanity's Last Exam · with toolsMultidisciplinary reasoning — Humanity's Last Exam — extremely hard expert questions across many subjects. “With tools” means the AI is allowed to search the web or run code while answering. Higher is better. | — | 42.8% |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | — | 85.7% |
Arena Elo (Text)Community preference — Real people chat with two anonymous AIs side by side and vote for the answer they prefer. Votes become a chess-style Elo rating on arena.ai — it measures which AI people actually like, not test scores. Higher is better. | 1458 | — |
Arena Elo (Code)Community preference (code) — Like the text arena, but people vote on which AI writes better code. The votes become a chess-style Elo rating on arena.ai. Higher is better. | — | 1433 |
| Overview | ||
| Company | Qwen | Z.ai |
| Release date | Jun 1 2026 | Dec 22 2025 |
| Access | Proprietary | Open Weight |
Other comparisons
Frequently asked questions
Qwen3.7-Plus leads GLM-4.7 on 1 of the 1 benchmark they both report (LiveCodeBench). Qwen3.7-Plus is cheaper on both input and output: $0.40 vs $0.60 per million input tokens, and $1.60 vs $2.20 per million output tokens. Figures are base-tier rates. GLM-4.7 shipped 161 days before Qwen3.7-Plus, so benchmark comparisons should account for the intervening progress.
Qwen3.7-Plus is proprietary, while GLM-4.7 is open weight.
On LiveCodeBench, Qwen3.7-Plus leads at 89.6% vs GLM-4.7 at 84.9%.
Qwen3.7-Plus was released by Qwen on Jun 1 2026.
GLM-4.7 was released by Z.ai on Dec 22 2025.
Qwen3.7-Plus leads on LiveCodeBench — Qwen3.7-Plus 89.6% vs GLM-4.7 84.9%.
Qwen3.7-Plus is cheaper on both input and output: $0.40 vs $0.60 per million input tokens, and $1.60 vs $2.20 per million output tokens. Figures are base-tier rates. Rates are pay-as-you-go API prices verified on August 18, 2026.
Qwen3.7-Plus is a proprietary model released by Qwen. GLM-4.7 is an open weight model released by Z.ai.