Gemma 2 27B vs Gpt-3.5-turbo: Benchmarks, Pricing, and Context Window Comparison
Gemma 2 27B vs Gpt-3.5-turbo 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
Gemma 2 27B has lower listed token pricing, while Gpt-3.5-turbo can still be preferable if benchmark results better match your workload.
Author: Mirai Minds Research Team
Last updated:
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Overview
Gemma 2 27B was released 19 months after Gpt-3.5-turbo.
| Gemma 2 27B |  Gpt-3.5-turbo | |
|---|---|---|
Provider The entity that provides this model. | Google | OpenAI |
Input Context Window The number of tokens supported by the input context window. | 8,192 tokens | 4096 tokens |
Maximum Output Tokens The number of tokens that can be generated by the model in a single request. | Not specified. | 4096 tokens |
Release Date When the model was first released. | Jun 27, 2024 over 1 yearago 2024-06-27 | Nov 28, 2022 over 1 year 2022-11-28 |
Leaderboard
| Gemma 2 27B | Gpt-3.5-turbo | |
|---|---|---|
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
| Gemma 2 27B | Gpt-3.5-turbo | |
|---|---|---|
Input Cost of input data provided to the model. | $0.27 per million tokens | $0.50 per million tokens |
Output Cost of output tokens generated by the model. | $0.27 per million tokens | $1.50 per million tokens |
Benchmarks
Compare relevant benchmarks between Gemma 2 27B and Gpt-3.5-turbo Instruct.
| Gemma 2 27B | Gpt-3.5-turbo | |
|---|---|---|
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings. | 75.2 (5-shot) | 70.0 (5-shot) |
MMMU A wide ranging multi-discipline and multimodal benchmark. | Benchmark not available. | Benchmark not available. |
HellaSwag A challenging sentence completion benchmark. | 86.4 (10-shot) | 85.5 (10-shot) |