Mixtral 8x7B vs Phi-4 Mini Flash Reasoning
Mixtral 8x7B (2023) and Phi-4 Mini Flash Reasoning (2025) are frontier reasoning models from MistralAI and Microsoft Research. Mixtral 8x7B ships a 32k-token context window, while Phi-4 Mini Flash Reasoning ships a 128k-token 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 Mini Flash Reasoning fits 4x more tokens; pick it for long-context work and Mixtral 8x7B for tighter calls.
Decision scorecard
Local evidence first| Signal | Mixtral 8x7B | Phi-4 Mini Flash Reasoning |
|---|---|---|
| Best for | provider-routed production | reasoning-heavy apps |
| Decision fit | Coding and Classification | Long context |
| Context window | 32k | 128k |
| Cheapest output | $0.45/1M tokens | - |
| Provider routes | 18 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Mixtral 8x7B has broader tracked provider coverage for fallback and route flexibility.
- Local decision data tags Mixtral 8x7B for Coding and Classification.
- Phi-4 Mini Flash Reasoning has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Phi-4 Mini Flash Reasoning uniquely exposes Reasoning in local model data.
- Local decision data tags Phi-4 Mini Flash Reasoning for Long context.
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 Mini Flash Reasoning
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
- Phi-4 Mini Flash Reasoning adds Reasoning in local capability data.
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
- Check replacement coverage for Reasoning before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-12-11 | 2025-12-01 |
| Context window | 32k | 128k |
| Parameters | 8x7B | 3.8B |
| Architecture | Mixture of Experts | Decoder Only |
| License | Apache 2.0OSI-approved | MITOSI-approved |
| Openness | Open source | Open source |
| Weights | Unknown | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: permitted | Commercial use: permitted |
| Knowledge cutoff | 2023-12 | 2025-02 |
Pricing and availability
| Pricing attribute | Mixtral 8x7B | Phi-4 Mini Flash Reasoning |
|---|---|---|
| Input price | $0.15/1M tokens | - |
| Output price | $0.45/1M tokens | - |
| Providers |
Capabilities
| Capability | Mixtral 8x7B | Phi-4 Mini Flash Reasoning |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | Yes |
| JSON / 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 scores are currently available for this pair.
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Last reviewed: 2026-07-11. Data sourced from public model cards and provider documentation.