Mistral AI vs Amazon
Mistral AI (18 models) vs Amazon (5 models) - compared across composite scores, pricing, capabilities, and context windows.
Mistral AI
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View all modelsHead-to-Head: Mistral AI vs Amazon Model Matchups
| Mistral AI | Score | vs | Amazon | Score |
|---|---|---|---|---|
| Mistral Medium 3.5 | 72 | Nova 2 Lite | 61 | |
| Mistral Large 3 2512 | 67 | Nova Premier 1.0 | 40 | |
| Mistral Large 2407 | 66 | Nova Lite 1.0 | 40 | |
| Mistral Large | 66 | Nova Micro 1.0 | 40 | |
| Mixtral 8x22B Instruct | 63 | Nova Pro 1.0 | 40 |
Capability Comparison
| Capability | Mistral AI | Amazon | Leader |
|---|---|---|---|
Vision | 10/18 | 4/5 | Mistral AI |
Reasoning | 2/18 | 1/5 | Mistral AI |
Function Calling | 16/18 | 5/5 | Mistral AI |
JSON Mode | 17/18 | 0/5 | Mistral AI |
Web Search | 0/18 | 0/5 | Tie |
Streaming | 18/18 | 5/5 | Mistral AI |
Image Output | 0/18 | 0/5 | Tie |
Pricing Comparison
| Metric | Mistral AI | Amazon |
|---|---|---|
| Cheapest Input (per 1M tokens) | $0.019 Mistral Nemo | $0.035 Nova Micro 1.0 |
| Cheapest Output (per 1M tokens) | $0.030 | $0.140 |
| Most Expensive Input (per 1M tokens) | $2.00 Mistral Medium 3.5 | $2.50 Nova Premier 1.0 |
| Most Expensive Output (per 1M tokens) | $7.50 | $12.50 |
| Free Models | 0 | 0 |
| Max Context Window | 262K | 1.0M |
All Mistral AI Models (18)
| Model | Score | Input $/M | Output $/M |
|---|---|---|---|
| Mistral Medium 3.5 | 72 | $1.50 | $7.50 |
| Mistral Large 3 2512 | 67 | $0.500 | $1.50 |
| Mistral Large 2407 | 66 | $2.00 | $6.00 |
| Mistral Large | 66 | $2.00 | $6.00 |
| Mixtral 8x22B Instruct | 63 | $2.00 | $6.00 |
| 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 |
| Voxtral Small 24B 2507 | 40 | $0.100 | $0.300 |
| Mistral Medium 3.1 | 40 | $0.400 | $2.00 |
| Codestral 2508 | 40 | $0.300 | $0.900 |
| Mistral Small 3.2 24B | 40 | $0.094 | $0.250 |
| Mistral Small 3.1 24B | 40 | $0.351 | $0.555 |
| Saba | 40 | $0.200 | $0.600 |
| Mistral Small 3 | 40 | $0.050 | $0.080 |
| Mistral Nemo | 40 | $0.019 | $0.030 |
| Mistral Medium 3 | 15 | $0.400 | $2.00 |
All Amazon Models (5)
| Model | Score | Input $/M | Output $/M |
|---|---|---|---|
| Nova 2 Lite | 61 | $0.300 | $2.50 |
| Nova Premier 1.0 | 40 | $2.50 | $12.50 |
| Nova Lite 1.0 | 40 | $0.060 | $0.240 |
| Nova Micro 1.0 | 40 | $0.035 | $0.140 |
| Nova Pro 1.0 | 40 | $0.800 | $3.20 |
More Provider Comparisons
Compare any two AI providers side-by-side.
Mistral AI follows a hybrid strategy where 56% of their portfolio (14 of 25 models) is open source, allowing developers to self-host and customize models while still monetizing premium offerings. Amazon's closed approach across all 5 models reflects their focus on managed cloud services, though this limits flexibility for users needing on-premise deployment or model fine-tuning.
Amazon's Nova 2 Lite outperforms Mistral's best model (Mistral Small 4 at 51/100) by focusing development on fewer, more refined models rather than breadth. With 80% vision capability coverage (4 of 5 models) versus Mistral's 40% (10 of 25), Amazon optimizes for multimodal performance while Mistral spreads resources across a wider range of specialized models.
Mistral AI targets cost-conscious developers with entry-level pricing 3.5x lower than Amazon's cheapest option ($0.140/M), while Amazon's $12.50/M premium tier reflects enterprise-grade infrastructure and support costs. This pricing gap reveals fundamentally different market strategies: Mistral democratizes access while Amazon monetizes premium enterprise features.
Mistral AI's 88% function calling coverage (22 of 25 models) provides more options for tool integration compared to Amazon's 100% coverage on just 5 models. Combined with 262K max context versus Amazon's 1M, Mistral suits developers who need diverse model choices for different tasks rather than maximum performance on any single benchmark.
Neither provider offers web search capabilities (0% coverage), but their strengths diverge sharply: Amazon's 1M token context window handles 3.8x more data than Mistral's 262K limit, making it superior for document analysis. However, Mistral's 14 open source options enable custom deployments in regulated industries where Amazon's cloud-only approach faces compliance barriers.