Google (29 models) vs Mistral AI (24 models) - compared across composite scores, pricing, capabilities, and context windows.
| Capability | Mistral AI | Leader | |
|---|---|---|---|
Vision | 25/29 | 11/24 | |
Reasoning | 17/29 | 2/24 | |
Function Calling | 19/29 | 21/24 | Mistral AI |
JSON Mode | 26/29 | 22/24 | |
Web Search | 16/29 | 0/24 | |
Streaming | 27/29 | 24/24 | |
Image Output | 4/29 | 0/24 |
| Metric | Mistral AI | |
|---|---|---|
| Cheapest Input (per 1M tokens) | $0.040 Gemma 3 4B | $0.020 Mistral Nemo |
| Cheapest Output (per 1M tokens) | $0.080 | $0.030 |
| Most Expensive Input (per 1M tokens) | $2.00 Gemini 3.1 Pro Preview Custom Tools | $2.00 Mistral Medium 3.5 |
| Most Expensive Output (per 1M tokens) | $12.00 | $7.50 |
| Free Models | 4 | 0 |
| Max Context Window | 1.0M | 262K |
| Model | Score | Input $/M | Output $/M |
|---|---|---|---|
| Gemini 3 Flash Preview | 88 | $0.500 | $3.00 |
| Gemini 2.5 Pro | 84 | $1.25 | $10.00 |
| Gemini 2.5 Pro Preview 06-05 | 84 | $1.25 | $10.00 |
| Gemini 2.5 Pro Preview 05-06 | 84 | $1.25 | $10.00 |
| Gemini 3.1 Pro Preview Custom Tools | 81 | $2.00 | $12.00 |
| Gemini 3.1 Pro Preview | 81 | $2.00 | $12.00 |
| Gemma 4 31B (free) | 81 | Free | Free |
| Gemma 4 31B | 81 | $0.130 | $0.380 |
| Gemini 3.1 Flash Lite Preview | 80 | $0.250 | $1.50 |
| Gemini 2.5 Flash Lite Preview 09-2025 | 79 | $0.100 | $0.400 |
| Gemini 2.5 Flash Lite | 79 | $0.100 | $0.400 |
| Gemini 2.5 Flash | 79 | $0.300 | $2.50 |
| Gemma 2 27B | 77 | $0.650 | $0.650 |
| Gemma 4 26B A4B (free) | 73 | Free | Free |
| Gemma 4 26B A4B | 73 | $0.060 | $0.330 |
| Gemini 2.0 Flash | 72 | $0.100 | $0.400 |
| Gemini 2.0 Flash Lite | 59 | $0.075 | $0.300 |
| Lyria 3 Pro Preview | 40 | Free | Free |
| Lyria 3 Clip Preview | 40 | Free | Free |
| Gemma 3n 4B | 40 | $0.060 | $0.120 |
| 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 |
Compare any two AI providers side-by-side.
Google's 9 free models score between 20-45/100, with most clustering around 30/100, making them suitable for prototyping but not production workloads. Mistral AI's paid-only approach starts at $0.040/M output tokens (matching Google's lowest tier) but delivers consistently higher baseline quality, with their cheapest model Mistral Nemo scoring 40/100 versus Google's free models averaging 32/100.
Google covers 79% of its portfolio with vision capabilities versus Mistral AI's 40%, with Google's Gemini 2.5 Flash Lite Preview achieving 60/100 with vision support. Mistral AI's vision-capable models are concentrated in their premium tier, starting with Pixtral 12B at 46/100, making Google the clear choice for multimodal applications requiring both cost efficiency and broad model selection.
Mistral AI prioritizes production-ready features across their portfolio, with function calling available from their $0.040/M Mistral Nemo up to their $6.00/M Mistral Large 2411. Google's function calling is fragmented across model families, missing from 15 of their open source models and most sub-$1.00/M options, reflecting different philosophies on what constitutes a deployment-ready model.
Google's Gemini family pushes context limits with 6 models supporting 1.0M tokens at prices from $0.40-$12.00/M output, while Mistral AI caps at 262K tokens with Pixtral models. This makes Google essential for document processing and long-form analysis, though Mistral AI's 128K context on models like Mistral Small 4 (51/100 score) covers 95% of typical enterprise use cases at lower costs.
Google's open source models span 20-45/100 in quality with limited capabilities (only 2 have function calling), positioning them as research artifacts. Mistral AI's open source portfolio scores 35-46/100 with 12 of 14 supporting function calling, creating a viable self-hosting path that explains why Mistral AI can skip free tiers while Google needs them for developer acquisition.