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Mistral Mixtral-8x7B-Instruct vs Phi-4 14B

Mistral Mixtral-8x7B-Instruct (2024) and Phi-4 14B (2024) are compact production models from MistralAI and Microsoft Research. Mistral Mixtral-8x7B-Instruct ships a 33K-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 $0.45/1M 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 ~592% cheaper at $0.07/1M; pay for Mistral Mixtral-8x7B-Instruct only for provider fit.

Specs

Released2024-04-092024-12-13
Context window33K
Parameters46.7B total, 12.9B active14B
Architecturedecoder onlydecoder only
LicenseApache 2.0Open Source
Knowledge cutoff--

Pricing and availability

Mistral Mixtral-8x7B-InstructPhi-4 14B
Input price$0.45/1M tokens$0.07/1M tokens
Output price$0.7/1M tokens$0.14/1M tokens
Providers

Capabilities

Mistral Mixtral-8x7B-InstructPhi-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, Mistral Mixtral-8x7B-Instruct lists $0.45/1M input and $0.7/1M 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 $0.44 per million blended tokens. Availability is 1 providers versus 2, so concentration risk also matters.

Choose Mistral Mixtral-8x7B-Instruct when provider fit are central to the workload. Choose Phi-4 14B when provider fit, lower input-token cost, and broader provider choice 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, Mistral Mixtral-8x7B-Instruct or Phi-4 14B?

Phi-4 14B is cheaper on tracked token pricing. Mistral Mixtral-8x7B-Instruct costs $0.45/1M input and $0.7/1M 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 Mistral Mixtral-8x7B-Instruct or Phi-4 14B open source?

Mistral Mixtral-8x7B-Instruct 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, Mistral Mixtral-8x7B-Instruct 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 Mistral Mixtral-8x7B-Instruct and Phi-4 14B?

Mistral Mixtral-8x7B-Instruct is available on AWS Bedrock. Phi-4 14B is available on OpenRouter and Fireworks AI. 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 Mistral Mixtral-8x7B-Instruct over Phi-4 14B?

Phi-4 14B is ~592% cheaper at $0.07/1M; pay for Mistral Mixtral-8x7B-Instruct only for provider fit. If your workload also depends on provider fit, start with Mistral Mixtral-8x7B-Instruct; 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.