Gemini 2.0 Pro vs Mistral Large: Benchmarks, Pricing, and Context Window Comparison
Gemini 2.0 Pro vs Mistral Large compares provider, context window, token pricing, benchmark performance, and release timeline in one side-by-side view. Use this page to quickly identify which model is a better fit for your production constraints, quality targets, and estimated cost per request.
Verdict
Gemini 2.0 Pro has lower listed token pricing, while Mistral Large can still be preferable if benchmark results better match your workload.
Author: Mirai Minds Research Team
Last updated:
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Overview
Gemini 2.0 Pro was released 10 months after Mistral Large.
| Gemini 2.0 Pro | Mistral Large | |
|---|---|---|
Provider The entity that provides this model. | Google | Mistral |
Input Context Window The number of tokens supported by the input context window. | 2M tokens | 32K tokens |
Maximum Output Tokens The number of tokens that can be generated by the model in a single request. | 8,192 tokens | 4,096 tokens |
Release Date When the model was first released. | Dec 11, 2024 over 1 yearago 2024-12-11 | Feb 26, 2024 over 1 year 2024-02-26 |
Leaderboard
| Gemini 2.0 Pro | Mistral Large | |
|---|---|---|
Rank | Unknown | Unknown |
Arena Elo | Not specified. | Not specified. |
95% CI | Not specified. | Not specified. |
Votes | Not specified. | Not specified. |
License | Not specified. | Not specified. |
Knowledge Cutoff | Unknown | Unknown |
Pricing
| Gemini 2.0 Pro | Mistral Large | |
|---|---|---|
Input Cost of input data provided to the model. | $0.10 per million tokens | $8.00 per million tokens |
Output Cost of output tokens generated by the model. | $0.40 per million tokens | $8.00 per million tokens |
Benchmarks
Compare relevant benchmarks between Gemini 2.0 Pro and Mistral Large Instruct.
| Gemini 2.0 Pro | Mistral Large | |
|---|---|---|
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings. | Benchmark not available. | 81.2 (5-shot) |
MMMU A wide ranging multi-discipline and multimodal benchmark. | 72.7 | Benchmark not available. |
HellaSwag A challenging sentence completion benchmark. | Benchmark not available. | 89.2 (10-shot) |