Claude 3.5 Sonnet(Jun 2024) vs GPT-4 Turbo: Benchmarks, Pricing, and Context Window Comparison
Claude 3.5 Sonnet(Jun 2024) vs GPT-4 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
Claude 3.5 Sonnet(Jun 2024) has lower listed token pricing, while GPT-4 Turbo can still be preferable if benchmark results better match your workload.
Author: Mirai Minds Research Team
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Overview
Claude 3.5 Sonnet(Jun 2024) was released 8 months after GPT-4 Turbo.
 Claude 3.5 Sonnet(Jun 2024) |  GPT-4 Turbo | |
|---|---|---|
Provider The entity that provides this model. | Anthropic | OpenAI |
Input Context Window The number of tokens supported by the input context window. | 200K tokens | 128K 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. | Jun 20, 2024 over 1 yearago 2024-06-20 | Nov 06, 2023 over 1 year 2023-11-06 |
Leaderboard
| Claude 3.5 Sonnet(Jun 2024) | GPT-4 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
| Claude 3.5 Sonnet(Jun 2024) | GPT-4 Turbo | |
|---|---|---|
Input Cost of input data provided to the model. | $3.00 per million tokens | $10.00 per million tokens |
Output Cost of output tokens generated by the model. | $15.00 per million tokens | $30.00 per million tokens |
Benchmarks
Compare relevant benchmarks between Claude 3.5 Sonnet(Jun 2024) and GPT-4 Turbo Instruct.
| Claude 3.5 Sonnet(Jun 2024) | GPT-4 Turbo | |
|---|---|---|
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings. | 88.3 (5-shot) | Benchmark not available. |
MMMU A wide ranging multi-discipline and multimodal benchmark. | 68.3 | Benchmark not available. |
HellaSwag A challenging sentence completion benchmark. | Benchmark not available. | Benchmark not available. |
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