Gemini 1.5 Flash (002) vs Llama 2 Chat 70B: Benchmarks, Pricing, and Context Window Comparison
Gemini 1.5 Flash (002) vs Llama 2 Chat 70B 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 1.5 Flash (002) has lower listed token pricing, while Llama 2 Chat 70B can still be preferable if benchmark results better match your workload.
Author: Mirai Minds Research Team
Last updated:
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Overview
Gemini 1.5 Flash (002) was released 15 months after Llama 2 Chat 70B.
Provider The entity that provides this model. | ||
Input Context Window The number of tokens supported by the input context window. | 1M tokens | 4,096 tokens |
Maximum Output Tokens The number of tokens that can be generated by the model in a single request. | 8,192 tokens | 2,048 tokens |
Release Date When the model was first released. | Sep 24, 2024 over 1 yearago 2024-09-24 | Jul 18, 2023 over 1 year 2023-07-18 |
Leaderboard
Rank | Unknown | 41 |
Arena Elo | Not specified. | 1088 |
95% CI | Not specified. | +3/-4 |
Votes | Not specified. | 38748 |
License | Not specified. | Llama 2 Community |
Knowledge Cutoff | Unknown | 7/2023 7/2023 |
Pricing
Input Cost of input data provided to the model. | $0.13 per million tokens | $0.65 per million tokens |
Output Cost of output tokens generated by the model. | $0.38 per million tokens | $2.75 per million tokens |
Benchmarks
Compare relevant benchmarks between Gemini 1.5 Flash (002) and Llama 2 Chat 70B Instruct.
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings. | Benchmark not available. | 68.9 (5-shot) |
MMMU A wide ranging multi-discipline and multimodal benchmark. | 62.3 | 30.1 |
HellaSwag A challenging sentence completion benchmark. | 86.5 (10-shot) | Benchmark not available. |
