Claude 3.5 Sonnet(Oct 2024) vs Gemini 1.5 Pro: Benchmarks, Pricing, and Context Window Comparison
Claude 3.5 Sonnet(Oct 2024) vs Gemini 1.5 Pro 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 Pro has lower listed token pricing, while Claude 3.5 Sonnet(Oct 2024) can still be preferable if benchmark results better match your workload.
Author: Mirai Minds Research Team
Last updated:
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Overview
Claude 3.5 Sonnet(Oct 2024) was released 9 months after Gemini 1.5 Pro.
 Claude 3.5 Sonnet(Oct 2024) | Gemini 1.5 Pro | |
|---|---|---|
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. | 8,192 tokens | 8,192 tokens |
Release Date When the model was first released. | Oct 22, 2024 over 1 yearago 2024-10-22 | Feb 15, 2024 over 1 year 2024-02-15 |
Leaderboard
| Claude 3.5 Sonnet(Oct 2024) | Gemini 1.5 Pro | |
|---|---|---|
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
| Claude 3.5 Sonnet(Oct 2024) | Gemini 1.5 Pro | |
|---|---|---|
Input Cost of input data provided to the model. | $3.00 per million tokens | $3.5 per million tokens |
Output Cost of output tokens generated by the model. | $15.00 per million tokens | $10.5 per million tokens |
Benchmarks
Compare relevant benchmarks between Claude 3.5 Sonnet(Oct 2024) and Gemini 1.5 Pro Instruct.
| Claude 3.5 Sonnet(Oct 2024) | Gemini 1.5 Pro | |
|---|---|---|
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings. | 89.3 (5-shot) | 81.9 (5-shot) |
MMMU A wide ranging multi-discipline and multimodal benchmark. | 71.4 | 58.5 |
HellaSwag A challenging sentence completion benchmark. | Benchmark not available. | Benchmark not available. |