Mixtral 8x22B Instruct v0.3 vs Qwen-Plus
Mixtral 8x22B Instruct v0.3 (2024) and Qwen-Plus (2025) are compact production models from MistralAI and Alibaba. Mixtral 8x22B Instruct v0.3 ships a 64K-token context window, while Qwen-Plus ships a 1M-token context window. On pricing, Qwen-Plus costs $1.2/1M input tokens versus $2/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
Qwen-Plus is ~67% cheaper at $1.2/1M; pay for Mixtral 8x22B Instruct v0.3 only for provider fit.
Specs
| Released | 2024-07-01 | 2025-11-30 |
| Context window | 64K | 1M |
| Parameters | 8x22B | — |
| Architecture | mixture of experts | - |
| License | Apache 2.0 | Proprietary |
| Knowledge cutoff | - | - |
Pricing and availability
| Mixtral 8x22B Instruct v0.3 | Qwen-Plus | |
|---|---|---|
| Input price | $2/1M tokens | $1.2/1M tokens |
| Output price | $2/1M tokens | $3.6/1M tokens |
| Providers |
Capabilities
| Mixtral 8x22B Instruct v0.3 | Qwen-Plus | |
|---|---|---|
| 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 function calling: Mixtral 8x22B Instruct v0.3. Both models share the core language-model surface, 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, Mixtral 8x22B Instruct v0.3 lists $2/1M input and $2/1M output tokens, while Qwen-Plus lists $1.2/1M input and $3.6/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Qwen-Plus lower by about $0.08 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.
Choose Mixtral 8x22B Instruct v0.3 when provider fit are central to the workload. Choose Qwen-Plus when long-context analysis, larger context windows, and lower input-token cost 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Which has a larger context window, Mixtral 8x22B Instruct v0.3 or Qwen-Plus?
Qwen-Plus supports 1M 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, Mixtral 8x22B Instruct v0.3 or Qwen-Plus?
Qwen-Plus is cheaper on tracked token pricing. Mixtral 8x22B Instruct v0.3 costs $2/1M input and $2/1M output tokens. Qwen-Plus costs $1.2/1M input and $3.6/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Mixtral 8x22B Instruct v0.3 or Qwen-Plus open source?
Mixtral 8x22B Instruct v0.3 is listed under Apache 2.0. Qwen-Plus is listed under Proprietary. 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 function calling, Mixtral 8x22B Instruct v0.3 or Qwen-Plus?
Mixtral 8x22B Instruct v0.3 has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Mixtral 8x22B Instruct v0.3 and Qwen-Plus?
Mixtral 8x22B Instruct v0.3 is available on Replicate API. Qwen-Plus is available on Alibaba Cloud PAI-EAS. 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.
When should I pick Mixtral 8x22B Instruct v0.3 over Qwen-Plus?
Qwen-Plus is ~67% cheaper at $1.2/1M; pay for Mixtral 8x22B Instruct v0.3 only for provider fit. If your workload also depends on provider fit, start with Mixtral 8x22B Instruct v0.3; if it depends on long-context analysis, run the same evaluation with Qwen-Plus.
Continue comparing
Last reviewed: 2026-04-21. Data sourced from public model cards and provider documentation.