Mistral Mixtral-8x7B-Instruct vs Phi-3 Mini 4k
Mistral Mixtral-8x7B-Instruct (2024) and Phi-3 Mini 4k (2024) are compact production models from MistralAI and Microsoft Research. Mistral Mixtral-8x7B-Instruct ships a 33K-token context window, while Phi-3 Mini 4k ships a 4K-token context window. On pricing, Phi-3 Mini 4k costs $0.05/1M 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-3 Mini 4k is ~800% cheaper at $0.05/1M; pay for Mistral Mixtral-8x7B-Instruct only for long-context analysis.
Specs
| Released | 2024-04-09 | 2024-04-23 |
| Context window | 33K | 4K |
| Parameters | 46.7B total, 12.9B active | 3.8B |
| Architecture | decoder only | decoder only |
| License | Apache 2.0 | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Mistral Mixtral-8x7B-Instruct | Phi-3 Mini 4k | |
|---|---|---|
| Input price | $0.45/1M tokens | $0.05/1M tokens |
| Output price | $0.7/1M tokens | $0.25/1M tokens |
| Providers |
Capabilities
| Mistral Mixtral-8x7B-Instruct | Phi-3 Mini 4k | |
|---|---|---|
| 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 is close: both models cover the core production surface. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
For cost, Mistral Mixtral-8x7B-Instruct lists $0.45/1M input and $0.7/1M output tokens, while Phi-3 Mini 4k lists $0.05/1M input and $0.25/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Phi-3 Mini 4k lower by about $0.42 per million blended tokens. Availability is 1 providers versus 4, so concentration risk also matters.
Choose Mistral Mixtral-8x7B-Instruct when long-context analysis and larger context windows are central to the workload. Choose Phi-3 Mini 4k 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.
FAQ
Which has a larger context window, Mistral Mixtral-8x7B-Instruct or Phi-3 Mini 4k?
Mistral Mixtral-8x7B-Instruct supports 33K tokens, while Phi-3 Mini 4k supports 4K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Mistral Mixtral-8x7B-Instruct or Phi-3 Mini 4k?
Phi-3 Mini 4k is cheaper on tracked token pricing. Mistral Mixtral-8x7B-Instruct costs $0.45/1M input and $0.7/1M output tokens. Phi-3 Mini 4k costs $0.05/1M input and $0.25/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Mistral Mixtral-8x7B-Instruct or Phi-3 Mini 4k open source?
Mistral Mixtral-8x7B-Instruct is listed under Apache 2.0. Phi-3 Mini 4k 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.
Where can I run Mistral Mixtral-8x7B-Instruct and Phi-3 Mini 4k?
Mistral Mixtral-8x7B-Instruct is available on AWS Bedrock. Phi-3 Mini 4k is available on Microsoft Foundry, NVIDIA NIM, Baseten API, and Replicate API. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Mistral Mixtral-8x7B-Instruct over Phi-3 Mini 4k?
Phi-3 Mini 4k is ~800% cheaper at $0.05/1M; pay for Mistral Mixtral-8x7B-Instruct only for long-context analysis. If your workload also depends on long-context analysis, start with Mistral Mixtral-8x7B-Instruct; if it depends on provider fit, run the same evaluation with Phi-3 Mini 4k.
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Last reviewed: 2026-04-19. Data sourced from public model cards and provider documentation.