Grok 4.20 BetavsGLM-4.7
Grok 4.20 Beta | 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. | $1.25 | $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. | $2.50 | $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. | $0.20 | $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 | ||
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. | 76.7% | 73.8% |
| 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. | 56% | — |
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. | — | 84.9% |
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% |
ARC-AGI-2Abstract reasoning — Puzzle-style tests of abstract reasoning and pattern-finding — the kind of thing people find easy but AIs often struggle with. Higher is better. | 53.3% | — |
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% |
| Overview | ||
| Company | SpaceXAI | Z.ai |
| Release date | Feb 17 2026 | Dec 22 2025 |
| Access | Proprietary | Open Weight |
Other comparisons
Grok 4.20 BetavsClaude Fable 5.1GLM-4.7vsClaude Fable 5.1Grok 4.20 BetavsGPT-6 AstraGLM-4.7vsGPT-6 AstraGrok 4.20 BetavsGemini 3.8 FlashGLM-4.7vsGemini 3.8 FlashGrok 4.20 BetavsMuse Spark 1.3GLM-4.7vsMuse Spark 1.3Grok 4.20 BetavsDeepSeek-V4.1-FlashGLM-4.7vsDeepSeek-V4.1-FlashGrok 4.20 BetavsMistral Medium 3.5GLM-4.7vsMistral Medium 3.5
Frequently asked questions
Grok 4.20 Beta leads GLM-4.7 on 1 of the 1 benchmark they both report (SWE-Bench Verified). GLM-4.7 is cheaper on both input and output: $0.60 vs $1.25 per million input tokens, and $2.20 vs $2.50 per million output tokens. Figures are base-tier rates. GLM-4.7 shipped 57 days before Grok 4.20 Beta, so benchmark comparisons should account for the intervening progress.
Grok 4.20 Beta is proprietary, while GLM-4.7 is open weight.
On SWE-Bench Verified, Grok 4.20 Beta leads at 76.7% vs GLM-4.7 at 73.8%.