Model decision surface
Compare AI models
Start with Phi 4 and Mixtral 8x22B Instruct, or choose any two current ranked language models. Compare capability evidence, price, context, provider availability, and weight access without pretending one field decides every use case.
Current public data
Phi 4 vs Mixtral 8x22B Instruct
Live dataset updated 9/9/2026, 8:46:14 PM UTC
Open 1200×630 evidence receipt| Field | Phi 4 Microsoft | Mixtral 8x22B Instruct Mistral AI |
|---|---|---|
| ModelCap position | #153 | #156 |
| Index score | 12.5 | 9.2 |
| Evidence | Measured2 public benchmark observations across 2 boards | Measured2 public benchmark observations across 2 boards |
| Input / 1M | $0.07 | $2.00 |
| Output / 1M | $0.14 | $6.00 |
| Pricing status | fresh | fresh |
| Context | 16K | 66K |
| Providers | 1 | 1 |
| Weight access | Open weights | Open weights |
Decision facts
- Phi 4 is #153; Mixtral 8x22B Instruct is #156 on the same current language board.
- Index scores are 12.5 for Phi 4 and 9.2 for Mixtral 8x22B Instruct. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $0.14 for Phi 4 and $6.00 for Mixtral 8x22B Instruct. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.21 for Phi 4 versus $7.00 for Mixtral 8x22B Instruct. Phi 4 costs 97.0% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
- Published context is 16,384 tokens for Phi 4 and 65,536 for Mixtral 8x22B Instruct.
These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.
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Each comparison page is a permanent, shareable URL with the same live figures as this tool: ModelCap Index position, API pricing, context window, provider count, weight access and every shared benchmark board.