Mistral Large vs Phi-4: Benchmarks, Pricing, and Context Window Comparison
Mistral Large vs Phi-4 compares provider, context window, token pricing, benchmark performance, and release timeline in one side-by-side view. Use this page to quickly identify which model is a better fit for your production constraints, quality targets, and estimated cost per request.
Verdict
Phi-4 has lower listed token pricing, while Mistral Large can still be preferable if benchmark results better match your workload.
Author: Mirai Minds Research Team
Last updated:
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Overview
Mistral Large was released 9 months before Phi-4.
| Mistral Large | Phi-4 | |
|---|---|---|
Provider The entity that provides this model. | Mistral | Microsoft |
Input Context Window The number of tokens supported by the input context window. | 32K tokens | 4,000 tokens |
Maximum Output Tokens The number of tokens that can be generated by the model in a single request. | 4,096 tokens | 4,000 tokens |
Release Date When the model was first released. | Feb 26, 2024 over 1 yearago 2024-02-26 | Dec 12, 2024 over 1 year 2024-12-12 |
Leaderboard
| Mistral Large | Phi-4 | |
|---|---|---|
Rank | Unknown | Unknown |
Arena Elo | Not specified. | Not specified. |
95% CI | Not specified. | Not specified. |
Votes | Not specified. | Not specified. |
License | Not specified. | Microsoft Research License Agreement |
Knowledge Cutoff | Unknown | Unknown |
Pricing
| Mistral Large | Phi-4 | |
|---|---|---|
Input Cost of input data provided to the model. | $8.00 per million tokens | $0.125 per million tokens |
Output Cost of output tokens generated by the model. | $8.00 per million tokens | $0.5 per million tokens |
Benchmarks
Compare relevant benchmarks between Mistral Large and Phi-4 Instruct.
| Mistral Large | Phi-4 | |
|---|---|---|
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings. | 81.2 (5-shot) | Benchmark not available. |
MMMU A wide ranging multi-discipline and multimodal benchmark. | Benchmark not available. | Benchmark not available. |
HellaSwag A challenging sentence completion benchmark. | 89.2 (10-shot) | Benchmark not available. |
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