Mistral AI (24 models) vs Microsoft (3 models) - compared across composite scores, pricing, capabilities, and context windows.
| Mistral AI | Score | vs | Microsoft | Score |
|---|---|---|---|---|
| Mistral Large 3 2512 | 67 | Phi 4 | 60 | |
| Mistral Large | 66 | Phi 4 Mini Instruct | 53 | |
| Mixtral 8x22B Instruct | 63 | WizardLM-2 8x22B | 28 |
| Capability | Mistral AI | Microsoft | Leader |
|---|---|---|---|
Vision | 11/24 | 0/3 | Mistral AI |
Reasoning | 2/24 | 0/3 | Mistral AI |
Function Calling | 21/24 | 0/3 | Mistral AI |
JSON Mode | 22/24 | 2/3 | Mistral AI |
Web Search | 0/24 | 0/3 | Tie |
Streaming | 24/24 | 3/3 | Mistral AI |
Image Output | 0/24 | 0/3 | Tie |
| Metric | Mistral AI | Microsoft |
|---|---|---|
| Cheapest Input (per 1M tokens) | $0.020 Mistral Nemo | $0.065 Phi 4 |
| Cheapest Output (per 1M tokens) | $0.030 | $0.140 |
| Most Expensive Input (per 1M tokens) | $2.00 Mistral Medium 3.5 | $0.620 WizardLM-2 8x22B |
| Most Expensive Output (per 1M tokens) | $7.50 | $0.620 |
| Free Models | 0 | 0 |
| Max Context Window | 262K | 128K |
| Model | Score | Input $/M | Output $/M |
|---|---|---|---|
| Mistral Large 3 2512 | 67 | $0.500 | $1.50 |
| Mistral Large | 66 | $2.00 | $6.00 |
| Mixtral 8x22B Instruct | 63 | $2.00 | $6.00 |
| Mistral Large 2407 | 56 | $2.00 | $6.00 |
| Devstral Small 1.1 | 47 | $0.100 | $0.300 |
| Devstral 2 2512 | 46 | $0.400 | $2.00 |
| Devstral Medium | 45 | $0.400 | $2.00 |
| Mistral Medium 3.5 | 40 | $1.50 | $7.50 |
| Mistral Small 4 | 40 | $0.150 | $0.600 |
| Ministral 3 14B 2512 | 40 | $0.200 | $0.200 |
| Ministral 3 8B 2512 | 40 | $0.150 | $0.150 |
| Ministral 3 3B 2512 | 40 | $0.100 | $0.100 |
| Mistral Medium 3.1 | 40 | $0.400 | $2.00 |
| Codestral 2508 | 40 | $0.300 | $0.900 |
| Mistral Small 3.2 24B | 40 | $0.075 | $0.200 |
| Mistral Small 3.1 24B | 40 | $0.350 | $0.560 |
| Saba | 40 | $0.200 | $0.600 |
| Mistral Small 3 | 40 | $0.050 | $0.080 |
| Mistral Large 2411 | 40 | $2.00 | $6.00 |
| Pixtral Large 2411 | 40 | $2.00 | $6.00 |
| Model | Score | Input $/M | Output $/M |
|---|---|---|---|
| Phi 4 | 60 | $0.065 | $0.140 |
| Phi 4 Mini Instruct | 53 | $0.080 | $0.350 |
| WizardLM-2 8x22B | 28 | $0.620 | $0.620 |
Compare any two AI providers side-by-side.
Mistral AI pursues a dual strategy with both proprietary models (11) and open source variants (14), enabling developers to self-host and customize models like Mistral 7B while still monetizing premium offerings at $0.040-$6.00 per 1M tokens. Microsoft's focus on just 2 proprietary models (Phi 3.5 and Phi 4) at $0.140-$0.620 per 1M tokens suggests they're prioritizing controlled, high-margin deployments over community adoption.
The 19-point performance gap reflects fundamentally different approaches: Microsoft's Phi models target edge computing with 66K max context and no vision/reasoning capabilities, while Mistral Small 4 offers 262K context and vision support (10/25 models). Microsoft's $0.140 minimum pricing versus Mistral's $0.040 entry point suggests Phi models are positioned for specialized enterprise deployments rather than general-purpose AI tasks.
Mistral AI's 88% function calling coverage enables integration with external tools and APIs, making their models practical for production applications despite their 40/100 average score. Microsoft's complete absence of function calling, vision (0/2), and reasoning capabilities (0/2) indicates their Phi models are designed for text-only inference tasks, likely optimized for specific enterprise workflows rather than versatile AI applications.
Mistral AI's pricing spans from commodity open source models to premium offerings, with their $6.00 tier likely representing specialized or high-context models (up to 262K tokens). This contrasts with Microsoft's narrow 4.4x range ($0.140-$0.620), suggesting Mistral targets everything from hobbyists to enterprises while Microsoft focuses exclusively on mid-tier commercial deployments with consistent margins.
Mistral AI provides vision support in 10 of 25 models (40% coverage), while Microsoft offers zero vision capabilities across both Phi models. Combined with Mistral's broader model selection (25 vs 2) and lower entry pricing ($0.040 vs $0.140), developers building image-understanding applications have only one viable option between these providers, though neither excels with reasoning capabilities (Mistral 1/25, Microsoft 0/2).