Mistral Mixtral-8x7B-Instruct vs Phi 4 Multimodal Instruct
Mistral Mixtral-8x7B-Instruct (2024) and Phi 4 Multimodal Instruct (2025) are compact production models from MistralAI and Microsoft Research. Mistral Mixtral-8x7B-Instruct ships a 33K-token context window, while Phi 4 Multimodal Instruct ships a 128K-token context window. On pricing, Mistral Mixtral-8x7B-Instruct costs $0.45/1M input tokens versus $0.9/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Mistral Mixtral-8x7B-Instruct is ~100% cheaper at $0.45/1M; pay for Phi 4 Multimodal Instruct only for long-context analysis.
Specs
| Released | 2024-04-09 | 2025-01-01 |
| Context window | 33K | 128K |
| Parameters | 46.7B total, 12.9B active | — |
| Architecture | decoder only | decoder only |
| License | Apache 2.0 | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Mistral Mixtral-8x7B-Instruct | Phi 4 Multimodal Instruct | |
|---|---|---|
| Input price | $0.45/1M tokens | $0.9/1M tokens |
| Output price | $0.7/1M tokens | $0.9/1M tokens |
| Providers |
Capabilities
| Mistral Mixtral-8x7B-Instruct | Phi 4 Multimodal 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 differs most on vision: Phi 4 Multimodal Instruct and multimodal input: Phi 4 Multimodal Instruct. 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 Multimodal Instruct lists $0.9/1M input and $0.9/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mistral Mixtral-8x7B-Instruct lower by about $0.38 per million blended tokens. Availability is 1 providers versus 2, 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 4 Multimodal Instruct when long-context analysis, larger context windows, 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 4 Multimodal Instruct?
Phi 4 Multimodal 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 4 Multimodal 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 4 Multimodal Instruct costs $0.9/1M input and $0.9/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Mistral Mixtral-8x7B-Instruct or Phi 4 Multimodal Instruct open source?
Mistral Mixtral-8x7B-Instruct is listed under Apache 2.0. Phi 4 Multimodal Instruct 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 vision, Mistral Mixtral-8x7B-Instruct or Phi 4 Multimodal Instruct?
Phi 4 Multimodal Instruct has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, Mistral Mixtral-8x7B-Instruct or Phi 4 Multimodal Instruct?
Phi 4 Multimodal Instruct has the clearer documented multimodal input signal in this comparison. If multimodal input 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 Multimodal Instruct?
Mistral Mixtral-8x7B-Instruct is available on AWS Bedrock. Phi 4 Multimodal Instruct is available on Fireworks AI and NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-04-19. Data sourced from public model cards and provider documentation.