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ModelTape / Models / GLM-4.7
Z.ai · open-weights

GLM-4.7

GLM-4.7 is an open-weights language model from Z.ai, released December 22, 2025. It has 358B parameters (mixture-of-experts, 39B active). The context window is 200K tokens. On the Epoch Capabilities Index it scores 143.3, rank 106 of 256 rated models. API price: $0.6 input / $2.2 output per million tokens.

GLM-4.7, your new coding partner, is coming with the following features: Core Coding: GLM-4.7 brings clear gains, compared to its predecessor GLM-4.6, in multilingual agentic coding and terminal-based tasks, including (73.8%, +5.8%) on SWE-bench, (66.7%, +12.9%) on SWE-bench Multilingual, and (41%, +16.5%) on Terminal …

Check it against your own PC →

Lab
Z.ai
Released
December 22, 2025
Weights
Open mit
Parameters
358B MoE · 39B active
Context
200K
Price / M tokens
$0.6 / $2.2 in / out
Epoch ECI
143.3 #106

Can you run GLM-4.7 locally?

Even with 32 GB of VRAM and 32 GB of RAM it is too large to run at a usable speed on a single consumer GPU. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.

GPU memoryVerdictBest quantVRAMRAMtok/s
6 GB VRAMToo large––––
8 GB VRAMToo large––––
12 GB VRAMToo large––––
16 GB VRAMToo large––––
24 GB VRAMToo large––––
32 GB VRAMToo large––––

Ready-made quantizations on Hugging Face: unsloth/GLM-4.7-GGUF · bartowski/zai-org_GLM-4.7-GGUF · mradermacher/GLM-4.7-i1-GGUF · mradermacher/GLM-4.7-GGUF · DevQuasar/zai-org.GLM-4.7-GGUF · AaryanK/GLM-4.7-GGUF

Strengths by category

ModelTape's 0–100 fit on Epoch AI benchmark results.

CategoryScoreBased on
Reasoning13.2Chess Puzzles, SimpleBench
Math29.5ProofBench, OTIS Mock AIME 2024-2025, FrontierMath-2025-02-28-Private, FrontierMath-Tier-4-2025-07-01-Private
Knowledge66.6GPQA diamond, SimpleQA Verified

Benchmark results

Benchmark (Epoch AI)Score
OTIS Mock AIME83.3%
GPQA Diamond81.0%
SimpleBench37.2%
Terminal-Bench33.4%
SimpleQA Verified32.2%
Chess Puzzles16.9%
ProofBench6.0%
FrontierMath-2025-02-28-Private4.3%
FrontierMath-Tier-4-2025-07-01-Private0.0%

Links

Announcement · Hugging Face: zai-org/GLM-4.7 · Epoch AI benchmarks

Models with a similar score

o3 · Nemotron 3 Ultra · Grok 4 · DeepSeek-V4-Flash · Qwen3.6 27B · GLM-5 · GPT-5.4 Nano · DeepSeek-V3.2

More from Z.ai

GLM-5.3-FlashX · GLM 5.3 Flash BF16 · GLM 5.3 BF16 · GLM-5.3-Flash · GLM-5.3 · GLM-5.2 · GLM-5.1 · GLM-5V-Turbo

Data updated Thu, 12 Nov 2026 09:42 UTC. Benchmarks, Capabilities Index and model announcements: Epoch AI, “Capabilities & benchmarking” and “Data on AI models” (CC BY 4.0); category scores are ModelTape's own fit on Epoch's results. Releases and prices: models.dev (MIT). Sizes and quantizations: Hugging Face. “Runs on” figures are estimates from model size, quantization and memory bandwidth (±30–50%).
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