| Signal | Mistral Large 2407 | Delta | Phi 4 Mini Instruct |
|---|---|---|---|
Capabilities | 50 | +17 | |
Benchmarks | 55 | -10 | |
Pricing | 94 | -6 | |
Context window size | 81 | +0 | |
Recency | 35 | -60 | |
Output Capacity | 20 | -65 | |
| Overall Result | 2 wins | of 6 | 4 wins |
Score History
56.1
current score
Mistral Large 2407
right now
52.7
current score
Mistral AI
Microsoft
Phi 4 Mini Instruct saves you $474.50/month
That's $5694.00/year compared to Mistral Large 2407 at your current usage level of 100K calls/month.
| Metric | Mistral Large 2407 | Phi 4 Mini Instruct | Winner |
|---|---|---|---|
| Overall Score | 56 | 53 | Mistral Large 2407 |
| Rank | #160 | #167 | Mistral Large 2407 |
| Quality Rank | #160 | #167 | Mistral Large 2407 |
| Adoption Rank | #160 | #167 | Mistral Large 2407 |
| Parameters | -- | -- | -- |
| Context Window | 131K | 128K | Mistral Large 2407 |
| Pricing | $2.00/$6.00/M | $0.08/$0.35/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 33 | Mistral Large 2407 |
| Benchmarks | 55 | 65 | Phi 4 Mini Instruct |
| Pricing | 94 | 100 | Phi 4 Mini Instruct |
| Context window size | 81 | 81 | Mistral Large 2407 |
| Recency | 35 | 96 | Phi 4 Mini Instruct |
| Output Capacity | 20 | 85 | Phi 4 Mini Instruct |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 56/100 (rank #160), placing it in the top 45% of all 290 models tracked.
Scores 53/100 (rank #167), placing it in the top 43% of all 290 models tracked.
With only a 3-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Phi 4 Mini Instruct offers 95% better value per quality point. At 1M tokens/day, you'd spend $6.45/month with Phi 4 Mini Instruct vs $120.00/month with Mistral Large 2407 - a $113.55 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Phi 4 Mini Instruct also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.35/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (56/100) correlates with better nuance, coherence, and style in long-form content
Mistral Large 2407 has a moderate advantage with a 3.3999999999999986-point lead in composite score. It wins on more signal dimensions, but Phi 4 Mini Instruct has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Mistral Large 2407
Marginally better benchmark scores; both are excellent
Best for Cost
Phi 4 Mini Instruct
95% lower pricing; better value at scale
Best for Reliability
Mistral Large 2407
Higher uptime and faster response speeds
Best for Prototyping
Mistral Large 2407
Stronger community support and better developer experience
Best for Production
Mistral Large 2407
Wider enterprise adoption and proven at scale
by Mistral AI
| Capability | Mistral Large 2407 | Phi 4 Mini Instruct |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Mistral AI
Microsoft
Phi 4 Mini Instruct saves you $10.24/month
That's 95% cheaper than Mistral Large 2407 at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Mistral Large 2407 | Phi 4 Mini Instruct |
|---|---|---|
| Context Window | 131K | 128K |
| Max Output Tokens | -- | 128,000 |
| Open Source | No | Yes |
| Created | Nov 19, 2024 | Oct 17, 2025 |