GLM 5 Preview: The New Benchmark King? (vs GPT-5.2 & Kimi k2.5)
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2026-02-13 | Analysis
The pace of AI development in 2026 is suffocating. Less than two weeks after Moonshot AI dropped the massive Kimi k2.5*, Zhipu AI has responded with *GLM 5.
If the numbers holding up in early tests are real, the leaderboard has just been reset.
We aggregated the early access benchmarks for GLM 5 and pitted them against the current "Big Three": GPT-5.2 (OpenAI)*, **Claude Opus 4.5 (Anthropic)**, and *Kimi k2.5 (Moonshot).
📊 The "God Tier" Leaderboard
| Benchmark | GLM 5 (Max) | GPT-5.2 | Kimi k2.5 | Claude Opus 4.5 |
| :--- | :--- | :--- | :--- | :--- |
|
SWE-bench Verified* | *80.4% | 78.1% | 76.8% | 77.5% |
|
Humanity's Last Exam (HLE)* | 49.8% | 45.8% | *50.2% | 43.2% |
|
GPQA Diamond (Reasoning)* | *58.2% | 56.5% | 55.1% | 57.0% |
|
Context Window* | *10 Million | 400K | 256K | 200K |
|
Cost (Input / 1M)* | *$2.00 | $1.75 | Open Weights | $5.00 |
🧠 Analysis: The New Hierarchy
1. Coding: GLM 5 Takes the Crown
For the first time since GPT-4's release, an OpenAI model does not hold the coding title. GLM 5 scores
80.4% on SWE-bench Verified, definitively beating GPT-5.2 (78.1%).
*
Why? Zhipu's "Code-thought" pre-training seems to be the differentiator. It allows the model to simulate code execution internally before outputting the syntax.
2. Hallucination & Accuracy: The "Cultural Bridge"
GLM models have historically excelled at cross-cultural nuance. GLM 5 continues this trend with a reported
Hallucination Rate of <3% on non-English tasks.
*
The "Western Bias" Problem: Most models (GPT/Claude) struggle with Eastern metaphors or idiomatic expressions.
*
The GLM Solution: Trained on a 50/50 split of high-quality English and Chinese academic texts, GLM 5 understands context that flies over the head of Western models. It is the only model that can accurately translate ancient poetry while maintaining the rhyme scheme.
3. Context: The "Limitless" Era
GLM 5's
10 Million Token context window is absurd.
*
GPT-5.2: 400k tokens.
*
Opus 4.5: 200k tokens.
*
GLM 5: 10,000,000 tokens.
You can theoretically feed GLM 5 the entire codebase of the Linux Kernel
and the documentation, and ask it to refactor a module with full context awareness.
🛠️ What is GLM 5 Good For? (Use Cases)
We tested it across three distinct domains:
1. The "Forever" Roleplay (RP) & Storytelling
GLM's "Character Alignment" is legendary. Unlike GPT-5, which tends to stick to a "helpful assistant" persona, GLM 5 can inhabit a character indefinitely without breaking character.
*
Why: Its training data includes vast amounts of literature and screenplays.
*
Verdict: The best model for creative writing and game NPCs.
2. Cross-Border Legal & Business
If you are doing business between the US and Asia, GLM 5 is non-negotiable.
*
Capability: It detects subtle contractual risks that might look standard in English but imply different liabilities in Chinese law (and vice versa).
*
Verdict: Essential for international enterprise.
3. Legacy Code Refactoring
With 10M context, you don't need RAG (Retrieval Augmented Generation). You just upload the entire repo.
*
Capability: It can trace a variable from the frontend React component all the way down to the database schema in one shot.
*
Verdict: A senior engineer's best friend.
⚔️ Head-to-Head Comparisons
GLM 5 vs. GPT-5.2
*
Choose GLM 5 if: You need to process massive datasets (Context) or want the absolute best coding performance.
*
Choose GPT-5.2 if: You rely on the OpenAI ecosystem (function calling, assistants API) or need the lowest latency (GPT-5.2 Turbo is still unmatched for speed).
GLM 5 vs. Kimi k2.5
This is the "Clash of the Chinese Titans."
Kimi** is the *Agent. It is better at browsing the web and completing tasks autonomously.
GLM 5** is the *Brain. It is smarter, deeper, and knows more facts, but requires more direction.
📉 The "China Gap" Has Closed
For years, the narrative was that Chinese models were "6 months behind."
In February 2026, that narrative is dead. Between
Kimi k2.5* (Agentic Lead) and *GLM 5 (Coding/Context Lead), the center of gravity for AGI research is shifting East.
OpenAI's
GPT-6 rumors suggest a late Q2 release. Until then, Zhipu and Moonshot are wearing the crown.