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Side-by-side comparison of API pricing, context window, latency, and benchmark performance. Data refreshed daily from provider APIs and ModelStop's own latency probes.
💰Google: Gemma 2 9B is 91% cheaper than mistral-small-3.1-24b-instruct
⚡Google: Gemma 2 9B is 685ms faster than mistral-small-3.1-24b-instruct
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
Google: Gemma 2 9B is 1070% cheaper
| Spec | mistral-small-3.1-24b-instruct | Google: Gemma 2 9B |
|---|---|---|
| Provider | mistralai | |
| Input price / 1M tokens | $0.35 | $0.03 |
| Output price / 1M tokens | $0.56 | $0.09 |
| Context window | 128k tokens | 8k tokens |
| Latency (p50) | 685ms | — |
| Best benchmark score | — | — |
| Open source | No | No |
Building upon Mistral Small 3 (2501), Mistral Small 3.1 (2503) adds state-of-the-art vision understanding and enhances long context capabilities up to 128k tokens without compromising text performance. With 24 billion parameters, this model achieves top-tier capabilities in both text and vision tasks.
Gemma 2 9B by Google is an advanced, open-source language model that sets a new standard for efficiency and performance in its size class. Designed for a wide variety of...
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