New Claude 3.5 Sonnet delivers better-than-Opus capabilities, faster-than-Sonnet speeds, at the same Sonnet prices. Sonnet is particularly good at: - Coding: Scores ~49% on SWE-Bench Verified, higher than the last best score, and without a…
Model details →Anthropic: Claude 3.5 Sonnet vs OpenAI: GPT-4 Turbo
Anthropic: Claude 3.5 Sonnet wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.
Model details →Side-by-side comparison
| Capability | Anthropic: Claude 3.5 Sonnet | OpenAI: GPT-4 Turbo | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 200K | 128K | 🏆 Anthropic: Claude 3.5 Sonnet |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $6.00 | $10.00 | 🏆 Anthropic: Claude 3.5 Sonnet |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $30.00 | $30.00 | Tie |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is Anthropic: Claude 3.5 Sonnet better than OpenAI: GPT-4 Turbo?
Anthropic: Claude 3.5 Sonnet wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Anthropic: Claude 3.5 Sonnet and OpenAI: GPT-4 Turbo?
Input: $6.00 vs $10.00 per 1M tokens. Output: $30.00 vs $30.00 per 1M tokens.
What context windows do Anthropic: Claude 3.5 Sonnet and OpenAI: GPT-4 Turbo support?
Anthropic: Claude 3.5 Sonnet supports up to 200K tokens. OpenAI: GPT-4 Turbo supports up to 128K tokens.
Do both Anthropic: Claude 3.5 Sonnet and OpenAI: GPT-4 Turbo support tool calling?
Anthropic: Claude 3.5 Sonnet: yes. OpenAI: GPT-4 Turbo: yes.