Mistral's official instruct fine-tuned version of [Mixtral 8x22B](/models/mistralai/mixtral-8x22b). It uses 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. Its strengths include: - strong math, coding,…
Model details →Mistral: Mixtral 8x22B Instruct vs Z.ai: GLM 5
Z.ai: GLM 5 wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling l…
Model details →Side-by-side comparison
| Capability | Mistral: Mixtral 8x22B Instruct | Z.ai: GLM 5 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 66K | 80K | 🏆 Z.ai: GLM 5 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.00 | $0.72 | 🏆 Z.ai: GLM 5 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $6.00 | $2.30 | 🏆 Z.ai: GLM 5 |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | Yes | 🏆 Z.ai: GLM 5 |
Frequently asked questions
Is Mistral: Mixtral 8x22B Instruct better than Z.ai: GLM 5?
Z.ai: GLM 5 wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Mistral: Mixtral 8x22B Instruct and Z.ai: GLM 5?
Input: $2.00 vs $0.72 per 1M tokens. Output: $6.00 vs $2.30 per 1M tokens.
What context windows do Mistral: Mixtral 8x22B Instruct and Z.ai: GLM 5 support?
Mistral: Mixtral 8x22B Instruct supports up to 66K tokens. Z.ai: GLM 5 supports up to 80K tokens.
Do both Mistral: Mixtral 8x22B Instruct and Z.ai: GLM 5 support tool calling?
Mistral: Mixtral 8x22B Instruct: yes. Z.ai: GLM 5: yes.