Mixtral 8x7B vs Phi-4 Reasoning Vision 15B
Mixtral 8x7B (2023) and Phi-4 Reasoning Vision 15B (2026) are compact production models from MistralAI and Microsoft Research. Mixtral 8x7B ships a 32k-token context window, while Phi-4 Reasoning Vision 15B ships a not-yet-sourced context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.
Phi-4 Reasoning Vision 15B is safer overall; choose Mixtral 8x7B when provider fit matters.
Decision scorecard
Local evidence first| Signal | Mixtral 8x7B | Phi-4 Reasoning Vision 15B |
|---|---|---|
| Best for | provider-routed production | multimodal apps |
| Decision fit | Coding and Classification | Vision |
| Context window | 32k | — |
| Cheapest output | $0.45/1M tokens | - |
| Provider routes | 18 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Mixtral 8x7B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mixtral 8x7B has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Mixtral 8x7B for Coding and Classification.
- Phi-4 Reasoning Vision 15B uniquely exposes Vision and Multimodal in local model data.
- Local decision data tags Phi-4 Reasoning Vision 15B for Vision.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Mixtral 8x7B
$233
Cheapest tracked route/tier: Mistral AI Studio
Phi-4 Reasoning Vision 15B
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Mixtral 8x7B and Phi-4 Reasoning Vision 15B; plan for SDK, billing, or endpoint changes.
- Phi-4 Reasoning Vision 15B adds Vision and Multimodal in local capability data.
- No overlapping tracked provider route is sourced for Phi-4 Reasoning Vision 15B and Mixtral 8x7B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-12-11 | 2026-03-12 |
| Context window | 32k | — |
| Parameters | 8x7B | 15B |
| Architecture | mixture of experts | - |
| License | Apache 2.0(OSI) | MIT(OSI) |
| Openness | Open source | Open source |
| Commercial use | Commercial use allowed | Commercial use allowed |
| Knowledge cutoff | 2023-12 | 2025-03 |
Pricing and availability
| Pricing attribute | Mixtral 8x7B | Phi-4 Reasoning Vision 15B |
|---|---|---|
| Input price | $0.15/1M tokens | - |
| Output price | $0.45/1M tokens | - |
| Providers | - |
Capabilities
| Capability | Mixtral 8x7B | Phi-4 Reasoning Vision 15B |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Phi-4 Reasoning Vision 15B and multimodal input: Phi-4 Reasoning Vision 15B. 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.
Pricing coverage is uneven: Mixtral 8x7B has $0.15/1M input tokens and Phi-4 Reasoning Vision 15B has no token price sourced yet. Provider availability is 18 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Mixtral 8x7B when provider fit and broader provider choice are central to the workload. Choose Phi-4 Reasoning Vision 15B when vision-heavy evaluation 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
Is Mixtral 8x7B or Phi-4 Reasoning Vision 15B open source?
Mixtral 8x7B is listed under Apache 2.0. Phi-4 Reasoning Vision 15B 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.
Which is better for vision, Mixtral 8x7B or Phi-4 Reasoning Vision 15B?
Phi-4 Reasoning Vision 15B 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, Mixtral 8x7B or Phi-4 Reasoning Vision 15B?
Phi-4 Reasoning Vision 15B 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 Mixtral 8x7B and Phi-4 Reasoning Vision 15B?
Mixtral 8x7B is available on Databricks Foundation Model Serving, NVIDIA NIM, GCP Vertex AI, AWS Bedrock, and OctoAI API (Deprecated). Phi-4 Reasoning Vision 15B is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Mixtral 8x7B over Phi-4 Reasoning Vision 15B?
Phi-4 Reasoning Vision 15B is safer overall; choose Mixtral 8x7B when provider fit matters. If your workload also depends on provider fit, start with Mixtral 8x7B; if it depends on vision-heavy evaluation, run the same evaluation with Phi-4 Reasoning Vision 15B.
Continue comparing
Last reviewed: 2026-06-04. Data sourced from public model cards and provider documentation.