Claude 3 Opus vs Gemini 2.0 Flash-Lite: Benchmarks, Pricing, and Context Window Comparison
Claude 3 Opus vs Gemini 2.0 Flash-Lite 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 Flash-Lite has lower listed token pricing, while Claude 3 Opus can still be preferable if benchmark results better match your workload.
Author: Mirai Minds Research Team
Last updated:
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Overview
Claude 3 Opus was released 9 months before Gemini 2.0 Flash-Lite.
 Claude 3 Opus | Gemini 2.0 Flash-Lite | |
|---|---|---|
Provider The entity that provides this model. | Anthropic | Google |
Input Context Window The number of tokens supported by the input context window. | 200K tokens | 1M tokens |
Maximum Output Tokens The number of tokens that can be generated by the model in a single request. | 4,096 tokens | 8,192 tokens |
Release Date When the model was first released. | Mar 04, 2024 over 1 yearago 2024-03-04 | Dec 11, 2024 over 1 year 2024-12-11 |
Leaderboard
| Claude 3 Opus | Gemini 2.0 Flash-Lite | |
|---|---|---|
Rank | 2 | Unknown |
Arena Elo | 1251 | Not specified. |
95% CI | +3/-3 | Not specified. |
Votes | 75684 | Not specified. |
License | Proprietary | Not specified. |
Knowledge Cutoff | 8/2023 8/2023 | Unknown |
Pricing
| Claude 3 Opus | Gemini 2.0 Flash-Lite | |
|---|---|---|
Input Cost of input data provided to the model. | $15.00 per million tokens | $0.075 per million tokens |
Output Cost of output tokens generated by the model. | $75.00 per million tokens | $0.30 per million tokens |
Benchmarks
Compare relevant benchmarks between Claude 3 Opus and Gemini 2.0 Flash-Lite Instruct.
| Claude 3 Opus | Gemini 2.0 Flash-Lite | |
|---|---|---|
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings. | 88.2 (5-shot) | Benchmark not available. |
MMMU A wide ranging multi-discipline and multimodal benchmark. | 59.4 | 68 |
HellaSwag A challenging sentence completion benchmark. | 95.4 (10-shot) | Benchmark not available. |