Mixtral 8x7B vs Phi-4 14B
Mixtral 8x7B (2023) and Phi-4 14B (2024) are compact production models from MistralAI and Microsoft Research. Mixtral 8x7B ships a 32K-token context window, while Phi-4 14B ships a not-yet-sourced context window. On pricing, Phi-4 14B costs $0.07/1M input tokens versus $0.15/1M 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.
Phi-4 14B is ~131% cheaper at $0.07/1M; pay for Mixtral 8x7B only for provider fit.
Specs
| Released | 2023-12-11 | 2024-12-13 |
| Context window | 32K | — |
| Parameters | 8x7B | 14B |
| Architecture | mixture of experts | decoder only |
| License | Apache 2.0 | Open Source |
| Knowledge cutoff | 2023-12 | - |
Pricing and availability
| Mixtral 8x7B | Phi-4 14B | |
|---|---|---|
| Input price | $0.15/1M tokens | $0.07/1M tokens |
| Output price | $0.45/1M tokens | $0.14/1M tokens |
| Providers |
Capabilities
| Mixtral 8x7B | Phi-4 14B | |
|---|---|---|
| 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 structured outputs: Phi-4 14B. 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 8x7B lists $0.15/1M input and $0.45/1M output tokens, while Phi-4 14B lists $0.07/1M input and $0.14/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Phi-4 14B lower by about $0.15 per million blended tokens. Availability is 18 providers versus 2, so concentration risk also matters.
Choose Mixtral 8x7B when provider fit and broader provider choice are central to the workload. Choose Phi-4 14B when provider fit 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 is cheaper, Mixtral 8x7B or Phi-4 14B?
Phi-4 14B is cheaper on tracked token pricing. Mixtral 8x7B costs $0.15/1M input and $0.45/1M output tokens. Phi-4 14B costs $0.07/1M input and $0.14/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Mixtral 8x7B or Phi-4 14B open source?
Mixtral 8x7B is listed under Apache 2.0. Phi-4 14B is listed under Open Source. 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 structured outputs, Mixtral 8x7B or Phi-4 14B?
Phi-4 14B has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Mixtral 8x7B and Phi-4 14B?
Mixtral 8x7B is available on Databricks Foundation Model Serving, NVIDIA NIM, GCP Vertex AI, AWS Bedrock, and OctoAI API. Phi-4 14B is available on OpenRouter and Fireworks AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Mixtral 8x7B over Phi-4 14B?
Phi-4 14B is ~131% cheaper at $0.07/1M; pay for Mixtral 8x7B only for provider fit. If your workload also depends on provider fit, start with Mixtral 8x7B; if it depends on provider fit, run the same evaluation with Phi-4 14B.
Continue comparing
Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.