GLM-5 Turbo vs Mixtral 8x22B Instruct v0.3
GLM-5 Turbo (2026) and Mixtral 8x22B Instruct v0.3 (2024) are frontier reasoning models from Zhipu AI and MistralAI. GLM-5 Turbo ships a 200k-token context window, while Mixtral 8x22B Instruct v0.3 ships a 64K-token context window. On pricing, GLM-5 Turbo costs $1.2/1M input tokens versus $2/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
GLM-5 Turbo is ~67% cheaper at $1.2/1M; pay for Mixtral 8x22B Instruct v0.3 only for provider fit.
Specs
| Released | 2026-03-01 | 2024-07-01 |
| Context window | 200k | 64K |
| Parameters | 744B total, 40B active | 8x22B |
| Architecture | mixture of experts | mixture of experts |
| License | Proprietary | Apache 2.0 |
| Knowledge cutoff | - | - |
Pricing and availability
| GLM-5 Turbo | Mixtral 8x22B Instruct v0.3 | |
|---|---|---|
| Input price | $1.2/1M tokens | $2/1M tokens |
| Output price | $4/1M tokens | $2/1M tokens |
| Providers |
Capabilities
| GLM-5 Turbo | Mixtral 8x22B Instruct v0.3 | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on reasoning mode: GLM-5 Turbo, tool use: GLM-5 Turbo, and structured outputs: GLM-5 Turbo. Both models share function calling, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, GLM-5 Turbo lists $1.2/1M input and $4/1M output tokens, while Mixtral 8x22B Instruct v0.3 lists $2/1M input and $2/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mixtral 8x22B Instruct v0.3 lower by about $0.04 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.
Choose GLM-5 Turbo when reasoning depth, larger context windows, and lower input-token cost are central to the workload. Choose Mixtral 8x22B Instruct v0.3 when provider fit are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, GLM-5 Turbo or Mixtral 8x22B Instruct v0.3?
GLM-5 Turbo supports 200k tokens, while Mixtral 8x22B Instruct v0.3 supports 64K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, GLM-5 Turbo or Mixtral 8x22B Instruct v0.3?
GLM-5 Turbo is cheaper on tracked token pricing. GLM-5 Turbo costs $1.2/1M input and $4/1M output tokens. Mixtral 8x22B Instruct v0.3 costs $2/1M input and $2/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is GLM-5 Turbo or Mixtral 8x22B Instruct v0.3 open source?
GLM-5 Turbo is listed under Proprietary. Mixtral 8x22B Instruct v0.3 is listed under Apache 2.0. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for reasoning mode, GLM-5 Turbo or Mixtral 8x22B Instruct v0.3?
GLM-5 Turbo has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for function calling, GLM-5 Turbo or Mixtral 8x22B Instruct v0.3?
Both GLM-5 Turbo and Mixtral 8x22B Instruct v0.3 expose function calling. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run GLM-5 Turbo and Mixtral 8x22B Instruct v0.3?
GLM-5 Turbo is available on OpenRouter. Mixtral 8x22B Instruct v0.3 is available on Replicate API. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
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Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.