Loading benchmark catalogue
Compare performance benchmarks, coding intelligence, reasoning evaluations, context limits, and API economics between GLM 5.2 (Zhipu AI) and Gemini 4 Argon (Google DeepMind).
| Metric / Capability | GLM 5.2 | Gemini 4 Argon |
|---|---|---|
| Developer / Organization | Zhipu AI | Google DeepMind |
| Release Date | 2026-06-16 | 2026-10-13 |
| Deployment / Weights | Open Weights | Proprietary Cloud API |
| Context Window | 1.0M tokens (1,048,576 tokens) | 1.0M tokens (1,048,576 tokens) |
| Input Pricing (/1M Tokens) | Free (Open Weights) | $2 |
| Output Pricing (/1M Tokens) | Free (Open Weights) | $10 |
| Benchmark / Domain | GLM 5.2 | Gemini 4 Argon | Advantage |
|---|---|---|---|
Artificial Analysis Intelligence Index Composite index aggregating 10+ evaluations of general reasoning and knowledge. | 33.7% | 52.6% | Gemini 4 Argon (+56%) |
Artificial Analysis Coding Index Composite index of coding and software-engineering evaluations. | 68.8% | — | — |
Artificial Analysis Agentic Index Composite index of tool-use and long-horizon agentic tasks. | 38.4% | — | — |
Artificial Analysis Coding Agent Index v2.0 Composite index of coding-agent systems (model + harness) across FrontierCode v1.1, SWE-Atlas-QnA, and Terminal-Bench v4. | — | 53.2% | — |
SWE-bench Pro Harder, contamination-resistant successor to SWE-bench spanning multiple languages. | 62.1% | — | — |
Terminal-Bench 4.0 Sandboxed command-line tasks requiring shell and file-system operation. | — | 57.4% | — |
ARC-AGI-2 Novel visual grid puzzles requiring abstract rule induction. | 22.8% | 91.3% | Gemini 4 Argon (+300%) |
GPQA Diamond Graduate-level physics, chemistry, and biology questions written by domain experts. | 91.2% | — | — |
Humanity's Last Exam Expert-written questions across hundreds of disciplines designed to resist saturation. | 40.5% | — | — |
FrontierMath v2 (Tiers 1-3) Unpublished, research-level mathematics problems across Tiers 1-3. | 59.2% | 86.0% | Gemini 4 Argon (+45%) |
Design Arena ELO Human-preference ELO across UI, 3D, data-visualization, and game-dev generations. | 1291 | 1438 | Gemini 4 Argon (+11%) |
Gemini 4 Argon outperforms GLM 5.2 across 4 evaluated benchmarks compared to 0 for GLM 5.2, excelling in Artificial Analysis Intelligence Index, ARC-AGI-2, FrontierMath v2 (Tiers 1-3).
Both models feature equivalent context windows of 1.0M tokens (1,048,576 tokens).
GLM 5.2 is more cost-effective. Input tokens cost $Free (Open Weights)/M tokens vs $2/M tokens for Gemini 4 Argon.
GLM 5.2 is an open-weights model. Gemini 4 Argon is a proprietary cloud API.
Analyze 130+ models side-by-side using interactive radar charts, cost-efficiency quadrant plots, and live dataset filters on the full NeuBench index.
Open Interactive Comparator