Mistral Mixtral-8x7B-Instruct vs Phi 3.5 MoE Instruct
Mistral Mixtral-8x7B-Instruct (2024) and Phi 3.5 MoE Instruct (2024) are compact production models from MistralAI and Microsoft Research. Mistral Mixtral-8x7B-Instruct ships a 33K-token context window, while Phi 3.5 MoE Instruct ships a 128K-token context window. On pricing, Mistral Mixtral-8x7B-Instruct costs $0.45/1M input tokens versus $0.5/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Phi 3.5 MoE Instruct is safer overall; choose Mistral Mixtral-8x7B-Instruct when provider fit matters.
Specs
| Released | 2024-04-09 | 2024-08-20 |
| Context window | 33K | 128K |
| Parameters | 46.7B total, 12.9B active | 16x3.8B (42B, 6.6B active) |
| Architecture | decoder only | decoder only |
| License | Apache 2.0 | MIT |
| Knowledge cutoff | - | - |
Pricing and availability
| Mistral Mixtral-8x7B-Instruct | Phi 3.5 MoE Instruct | |
|---|---|---|
| Input price | $0.45/1M tokens | $0.5/1M tokens |
| Output price | $0.7/1M tokens | $0.5/1M tokens |
| Providers |
Capabilities
| Mistral Mixtral-8x7B-Instruct | Phi 3.5 MoE Instruct | |
|---|---|---|
| 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 3.5 MoE Instruct lists $0.5/1M input and $0.5/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Phi 3.5 MoE Instruct lower by about $0.03 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.
Choose Mistral Mixtral-8x7B-Instruct when provider fit and lower input-token cost are central to the workload. Choose Phi 3.5 MoE Instruct when long-context analysis and larger context windows 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 3.5 MoE Instruct?
Phi 3.5 MoE Instruct supports 128K tokens, while Mistral Mixtral-8x7B-Instruct supports 33K 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 3.5 MoE Instruct?
Mistral Mixtral-8x7B-Instruct is cheaper on tracked token pricing. Mistral Mixtral-8x7B-Instruct costs $0.45/1M input and $0.7/1M output tokens. Phi 3.5 MoE Instruct costs $0.5/1M input and $0.5/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Mistral Mixtral-8x7B-Instruct or Phi 3.5 MoE Instruct open source?
Mistral Mixtral-8x7B-Instruct is listed under Apache 2.0. Phi 3.5 MoE Instruct is listed under MIT. 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 3.5 MoE Instruct?
Mistral Mixtral-8x7B-Instruct is available on AWS Bedrock. Phi 3.5 MoE Instruct is available on 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 3.5 MoE Instruct?
Phi 3.5 MoE Instruct is safer overall; choose Mistral Mixtral-8x7B-Instruct when provider fit matters. If your workload also depends on provider fit, start with Mistral Mixtral-8x7B-Instruct; if it depends on long-context analysis, run the same evaluation with Phi 3.5 MoE Instruct.
Continue comparing
Last reviewed: 2026-04-19. Data sourced from public model cards and provider documentation.