Google (29 models) vs Amazon (5 models) - compared across composite scores, pricing, capabilities, and context windows.
| Capability | Amazon | Leader | |
|---|---|---|---|
Vision | 25/29 | 4/5 | |
Reasoning | 17/29 | 1/5 | |
Function Calling | 19/29 | 5/5 | |
JSON Mode | 26/29 | 0/5 | |
Web Search | 16/29 | 0/5 | |
Streaming | 27/29 | 5/5 | |
Image Output | 4/29 | 0/5 |
| Metric | Amazon | |
|---|---|---|
| Cheapest Input (per 1M tokens) | $0.040 Gemma 3 4B | $0.035 Nova Micro 1.0 |
| Cheapest Output (per 1M tokens) | $0.080 | $0.140 |
| Most Expensive Input (per 1M tokens) | $2.00 Gemini 3.1 Pro Preview Custom Tools | $2.50 Nova Premier 1.0 |
| Most Expensive Output (per 1M tokens) | $12.00 | $12.50 |
| Free Models | 4 | 0 |
| Max Context Window | 1.0M | 1.0M |
| 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 |
|---|---|---|---|
| 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 |
Compare any two AI providers side-by-side.
Google's open source portfolio (44% of their 34 models) allows them to offer 9 free models and achieve the lowest output pricing at $0.040 per 1M tokens, creating a clear developer acquisition funnel. Amazon's closed approach with 5 proprietary models forces a minimum $0.140 per 1M tokens entry point, but delivers consistent function calling across 100% of models versus Google's 47% coverage.
While Google's top model scores 11% higher, Amazon's focused 5-model portfolio achieves nearly identical average performance (43 vs 45) with 85% fewer models. Amazon's Nova 2 Lite at 54/100 actually outperforms 26 of Google's 34 models, suggesting Google's extensive catalog includes significant performance variance and legacy models dragging down their average.
Amazon guarantees function calling on all 5 models (100% coverage) compared to Google's 47% (16/34 models), making Amazon ideal for production applications requiring consistent tool use. Additionally, 80% of Amazon's models support vision capabilities versus Google's 79%, but with a curated selection that eliminates the need to test across 34 options.
Google offers reasoning on 47% of models (16/34) versus Amazon's 20% (1/5), but this masks a strategic difference: Google spreads advanced capabilities across multiple price tiers while Amazon concentrates reasoning in Nova 2 Lite. Google's approach provides 16 reasoning options from free to $12.00 per 1M tokens, while Amazon's single reasoning model simplifies selection but limits pricing flexibility.
Google's portfolio requires evaluating 34 models with prices ranging 300x ($0.040 to $12.00 per 1M tokens) and inconsistent capabilities like function calling (16/34 models). Amazon's streamlined approach offers predictable pricing ($0.140 to $12.50), universal function calling, and 80% vision coverage, reducing evaluation overhead by 85% while maintaining competitive average scores (43 vs 45).
Google dominates prototyping with 9 free models and output pricing starting at $0.040 per 1M tokens, 71% cheaper than Amazon's $0.140 minimum. For production, Amazon's 100% function calling coverage and focused 5-model lineup reduces integration complexity, while Google forces teams to navigate which 16 of 34 models support function calling and manage potential model deprecations across their sprawling portfolio.