Model Comparison
GPT-4 Turbo vs Claude 3.7 SonnetWhich is better in 2026?
Claude 3.7 Sonnet significantly outperforms across most benchmarks. Claude 3.7 Sonnet is 2.5x cheaper per token.
Verdict: GPT-4 Turbo vs Claude 3.7 Sonnet — which is better?
GPT-4 Turbo (by OpenAI) and Claude 3.7 Sonnet (by Anthropic) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
GPT-4 Turbo outperforms in 0 benchmarks, while Claude 3.7 Sonnet is better at 1 benchmark (GPQA). Claude 3.7 Sonnet significantly outperforms across most benchmarks.
On price, Claude 3.7 Sonnet is roughly 2.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude 3.7 Sonnet also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-4 Turbo if…
- you want predictable pricing at $10.00/M input and $30.00/M output
Choose Claude 3.7 Sonnet if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 2.5x cheaper per token
- you process long inputs — it offers a 200,000 token context window
- you want the most recent training data — it shipped Feb 2025
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4 Turbo outperforms in 0 benchmarks, while Claude 3.7 Sonnet is better at 1 benchmark (GPQA).
Claude 3.7 Sonnet significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4 Turbo ($10.00/1M tokens) is 3.3x more expensive than Claude 3.7 Sonnet ($3.00/1M tokens).
For output processing, GPT-4 Turbo ($30.00/1M tokens) is 2.0x more expensive than Claude 3.7 Sonnet ($15.00/1M tokens).
In conclusion, GPT-4 Turbo is more expensive than Claude 3.7 Sonnet.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude 3.7 Sonnet accepts 200,000 input tokens compared to GPT-4 Turbo's 128,000 tokens. Claude 3.7 Sonnet can generate longer responses up to 128,000 tokens, while GPT-4 Turbo is limited to 4,096 tokens.
Input Capabilities
Supported data types and modalities
Claude 3.7 Sonnet supports multimodal inputs, whereas GPT-4 Turbo does not.
Claude 3.7 Sonnet can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4 Turbo
Claude 3.7 Sonnet
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
GPT-4 Turbo was released on 2024-04-09, while Claude 3.7 Sonnet was released on 2025-02-24.
Claude 3.7 Sonnet is 11 months newer than GPT-4 Turbo.
Apr 9, 2024
2.2 years ago
Feb 24, 2025
1.3 years ago
10mo newerKnowledge Cutoff
When training data ends
GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while Claude 3.7 Sonnet's cutoff date is not specified.
We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without Claude 3.7 Sonnet's cutoff date.
Dec 2023
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Provider Availability
GPT-4 Turbo is available from Azure, OpenAI. Claude 3.7 Sonnet is available from Anthropic, Bedrock, Google.
GPT-4 Turbo
Claude 3.7 Sonnet
Outputs Comparison
Key Takeaways
GPT-4 Turbo
View detailsOpenAI
No standout differentiators in the data we have for this pair.
Claude 3.7 Sonnet
View detailsAnthropic
Detailed Comparison
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FAQ
Common questions about GPT-4 Turbo vs Claude 3.7 Sonnet.