LLM Comparison
GLM-5.2 vs MiniMax M2.7
Side-by-side specs, pricing & capabilities · Updated September 2026
Price vs Intelligence
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 58 20.0 | 42 56.5 |
| Family | GLM | MiniMax |
| Status | Current | Current |
| Release Date | — | Mar 2026 |
| Context Window | 1.0M tokens | 197K tokens |
| Input Price | $1.40/M tokens | $0.30/M tokens |
| Output Price | $4.40/M tokens | $1.20/M tokens |
| Pricing Notes | Artificial Analysis page reported Input $1.40 per 1M tokens, cache hit $0.26 per 1M tokens, Output $4.40 per 1M tokens, AA Briefcase Elo 1265.54, and median output speed 102.29 tokens/second for GLM-5.2 (max) during this run. Verify provider terms before production use. | Cache read: $0.0590/M tokens |
| Capabilities | textreasoninglong-context | textcode |
| Max Output | 1.0M tokens | — |
| API Identifier | glm-5.2-max | minimax/minimax-m2.7 |
| Benchmarks | ||
| Artificial Analysis Intelligence Index v4.1 | 51.0858347714416Artificial Analysis model page | — |
| Artificial Analysis Intelligence Index v4.3 | 34https://artificialanalysis.ai/models/glm-5-2 | 23.2171artificial-analysis |
| GPQA Diamond | 89.4949artificial-analysis | 87.3737artificial-analysis |
| SciCode | 51.1574artificial-analysis | 50.1157artificial-analysis |
| Terminal-Bench 2.1 | 77.9026artificial-analysis | 55.4307artificial-analysis |
| SWE-bench Pro | — | 56.22https://huggingface.co/MiniMaxAI/MiniMax-M2.7 |
| Terminal-Bench 2 | — | 57https://huggingface.co/MiniMaxAI/MiniMax-M2.7 |
| View GLM-5.2 | View MiniMax M2.7 | |
Cost Calculator
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| MiniMax M2.7Cheapest | $0.30 | $0.60 | $0.90 | — |
| GLM-5.2 | $1.40 | $2.20 | $3.60 | +300% |
Z.ai
GLM-5.2
GLM-5.2 (max) is a Z AI text model tracked by Artificial Analysis. The page reports a 1 million token context window, text input and text output, a 51.09 Artificial Analysis Intelligence Index, and measured output speed around 102 tokens per second.
MiniMax
MiniMax M2.7
MiniMax M2.7 is a large language model from MiniMax. Supports up to 196,608 token context window. Available from $0.30/M input tokens.
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