Mistral AI (24 models) vs NVIDIA (9 models) - compared across composite scores, pricing, capabilities, and context windows.
| Capability | Mistral AI | NVIDIA | Leader |
|---|---|---|---|
Vision | 11/24 | 2/9 | Mistral AI |
Reasoning | 2/24 | 9/9 | NVIDIA |
Function Calling | 21/24 | 9/9 | Mistral AI |
JSON Mode | 22/24 | 6/9 | Mistral AI |
Web Search | 0/24 | 0/9 | Tie |
Streaming | 24/24 | 9/9 | Mistral AI |
Image Output | 0/24 | 0/9 | Tie |
| Metric | Mistral AI | NVIDIA |
|---|---|---|
| Cheapest Input (per 1M tokens) | $0.020 Mistral Nemo | $0.040 Nemotron Nano 9B V2 |
| Cheapest Output (per 1M tokens) | $0.030 | $0.160 |
| Most Expensive Input (per 1M tokens) | $2.00 Mistral Medium 3.5 | $0.100 Nemotron 3 Super |
| Most Expensive Output (per 1M tokens) | $7.50 | $0.450 |
| Free Models | 0 | 5 |
| Max Context Window | 262K | 262K |
| 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 |
|---|---|---|---|
| Llama 3.3 Nemotron Super 49B V1.5 | 61 | $0.100 | $0.400 |
| Nemotron 3 Nano Omni (free) | 40 | Free | Free |
| Nemotron 3 Super (free) | 40 | Free | Free |
| Nemotron 3 Super | 40 | $0.090 | $0.450 |
| Nemotron 3 Nano 30B A3B (free) | 40 | Free | Free |
| Nemotron 3 Nano 30B A3B | 40 | $0.050 | $0.200 |
| Nemotron Nano 12B 2 VL (free) | 40 | Free | Free |
| Nemotron Nano 9B V2 (free) | 40 | Free | Free |
| Nemotron Nano 9B V2 | 40 | $0.040 | $0.160 |
Compare any two AI providers side-by-side.
Mistral AI's 25-model portfolio includes 14 open source variants, suggesting a strategy of providing multiple size/performance tradeoffs for self-hosting scenarios. NVIDIA's tighter 11-model lineup focuses on reasoning capabilities (10/11 models) despite offering all 11 as open source, indicating they're optimizing for inference quality over deployment flexibility.
NVIDIA's pricing premium correlates with their reasoning capability coverage - 91% of their models support reasoning versus just 4% for Mistral AI. Additionally, NVIDIA provides 4 free models for evaluation while Mistral AI offers none, suggesting NVIDIA targets enterprise customers who value try-before-buy over rock-bottom pricing.
Mistral AI clearly dominates vision with 40% model coverage (10/25) compared to NVIDIA's 18% (2/11), though neither provider's vision models score above 51/100. For production vision workloads, Mistral AI's broader selection provides more deployment options across the $0.040-$6.00 price range.
Both providers prioritize function calling (22/25 for Mistral AI, 9/11 for NVIDIA) as the primary integration mechanism for enterprise workflows. The complete absence of web search across all 36 models suggests both companies view real-time information retrieval as outside their core competency, leaving that to specialized providers.
Mixing providers is optimal: Mistral AI's 10 vision models (including Mistral Small 4 at 51/100) handle visual tasks while NVIDIA's reasoning-focused lineup (10/11 models including Nemotron 3 Nano 30B at 45/100) processes logical operations. Both support 262K context windows, making cross-provider pipelines technically feasible without context limitations.