Technology comparison

Claude 3.5 Sonnet vs Gemini 2.5 Pro: models, context & API pricing

Claude 3.5 Sonnet is a strong choice for coding, nuanced writing, and agentic workflows where reliability and instruction-following matter. Gemini 2.5 Pro suits teams that need a very large context window, native multimodality, and deep integration with Google Cloud. Both are closed models, so verify current pricing, context limits, and benchmark results against official documentation before committing.

Technical context and trade-offs

These differences are drawn directly from the comparison criteria below.

Context window

Claude 3.5 Sonnet: Claude 3.5 Sonnet offers a 200K-token context window, which is sufficient for large codebases, long documents, and multi-turn conversations. The exact usable context can depend on the API version and may be smaller when accounting for output tokens and system prompts.

Gemini 2.5 Pro: Gemini 2.5 Pro is designed with a significantly larger context window, reportedly up to 1 million tokens or more in some configurations, making it suitable for extremely long inputs such as entire books, large code repositories, or lengthy video transcripts. The maximum context depends on the access channel (AI Studio, Vertex AI) and should be verified in the current documentation.

Benchmark performance (MMLU and HumanEval)

Claude 3.5 Sonnet: Claude 3.5 Sonnet has demonstrated strong results on coding benchmarks like HumanEval and general knowledge tests such as MMLU, often competitive with or better than contemporary models in its class. However, benchmark scores are version-specific and can vary with prompting, so refer to the latest official reports.

Gemini 2.5 Pro: Gemini 2.5 Pro has shown competitive scores on MMLU and coding benchmarks in published evaluations, with particular strengths in reasoning and multimodal tasks. As with any model, scores depend on the evaluation setup and may not reflect real-world performance; check the most recent benchmark tables from Google.

Quick verdictThe bottom line

Claude 3.5 SonnetGemini 2.5 ProExplore the detailed comparison

Scores by criterion

Performance75–25 (2 criteria)

Ease of useNo direct evidence in the criteria

EcosystemNo direct evidence in the criteria

PopularityNo direct evidence in the criteria

Claude 3.5 SonnetGemini 2.5 Pro

Scores reflect wins in matching criteria; ties count as half a point.

Technical feature matrix

Criterion	Claude 3.5 Sonnet	Gemini 2.5 Pro	Edge
Context window	Claude 3.5 Sonnet offers a 200K-token context window, which is sufficient for large codebases, long documents, and multi-turn conversations. The exact usable context can depend on the API version and may be smaller when accounting for output tokens and system prompts.	Gemini 2.5 Pro is designed with a significantly larger context window, reportedly up to 1 million tokens or more in some configurations, making it suitable for extremely long inputs such as entire books, large code repositories, or lengthy video transcripts. The maximum context depends on the access channel (AI Studio, Vertex AI) and should be verified in the current documentation.	Gemini 2.5 Pro
Benchmark performance (MMLU and HumanEval)	Claude 3.5 Sonnet has demonstrated strong results on coding benchmarks like HumanEval and general knowledge tests such as MMLU, often competitive with or better than contemporary models in its class. However, benchmark scores are version-specific and can vary with prompting, so refer to the latest official reports.	Gemini 2.5 Pro has shown competitive scores on MMLU and coding benchmarks in published evaluations, with particular strengths in reasoning and multimodal tasks. As with any model, scores depend on the evaluation setup and may not reflect real-world performance; check the most recent benchmark tables from Google.	Comparable
API pricing per 1M input/output tokens	Claude 3.5 Sonnet is available through Anthropic's API with tiered pricing based on input and output tokens. The exact rates are subject to change; for example, input may be priced around $3 per million tokens and output around $15 per million tokens, but you should confirm the current pricing on Anthropic's website.	Gemini 2.5 Pro is offered via Google's AI Studio and Vertex AI with pricing that may vary by region and usage tier. Published rates for comparable models have been in the range of a few dollars per million input tokens and higher for output, but exact figures for Gemini 2.5 Pro need to be verified on Google's pricing page.	Comparable
Latency and throughput	Claude 3.5 Sonnet is generally optimized for low-latency responses, especially for its size, and is often used in interactive applications like chatbots and coding assistants. Actual latency depends on factors such as prompt length, output length, and API load.	Gemini 2.5 Pro, with its larger context and more complex architecture, may exhibit higher latency for very long inputs, but Google has optimized serving for throughput. Latency can vary by access method and region; real-world performance should be tested for your specific workload.	Claude 3.5 Sonnet
Model access and open/closed availability	Claude 3.5 Sonnet is a closed-source model available via Anthropic's API, Amazon Bedrock, and Google Cloud Vertex AI. It is not available as open weights, so you cannot self-host it.	Gemini 2.5 Pro is also a closed-source model, accessible through Google AI Studio, Vertex AI, and possibly other Google Cloud services. Like Claude 3.5 Sonnet, it is not open-weight and must be used via API.	Comparable
Multimodal capabilities	Claude 3.5 Sonnet supports image inputs, allowing it to analyze and reason about visual content alongside text. It does not natively process audio or video, but images can be included in prompts for tasks like diagram interpretation or OCR.	Gemini 2.5 Pro is natively multimodal, designed to handle text, images, audio, and video inputs in a unified model. This makes it more versatile for applications that require understanding of rich media, such as video summarization or audio transcription.	Gemini 2.5 Pro
Practical use cases	Claude 3.5 Sonnet excels in coding assistance, complex reasoning, and creative writing where nuanced instruction-following is important. It is often chosen for agentic workflows, code generation, and tasks that require careful handling of long documents.	Gemini 2.5 Pro is well-suited for tasks involving very large contexts, multimodal understanding, and integration with Google's ecosystem. It can be used for analyzing lengthy videos, large-scale document processing, and applications that benefit from its extended context and multimodal inputs.	Comparable

When to choose each option

Choose this option if… Claude 3.5 Sonnet

Choose Claude 3.5 Sonnet when the strengths described here match your project requirements. Latency and throughput: Claude 3.5 Sonnet is generally optimized for low-latency responses, especially for its size, and is often used in interactive applications like chatbots and coding assistants. Actual latency depends on factors such as prompt length, output length, and API load.

Choose this option if… Gemini 2.5 Pro

Choose Gemini 2.5 Pro when the strengths described here match your project requirements. Context window: Gemini 2.5 Pro is designed with a significantly larger context window, reportedly up to 1 million tokens or more in some configurations, making it suitable for extremely long inputs such as entire books, large code repositories, or lengthy video transcripts. The maximum context depends on the access channel (AI Studio, Vertex AI) and should be verified in the current documentation. Multimodal capabilities: Gemini 2.5 Pro is natively multimodal, designed to handle text, images, audio, and video inputs in a unified model. This makes it more versatile for applications that require understanding of rich media, such as video summarization or audio transcription.

Technology role diagram

Option A

Claude 3.5 Sonnet

Comparison

Option B

Gemini 2.5 Pro

Comparison

This diagram shows broad areas of use, not a complete deployment architecture.

Code examples

Claude 3.5 Sonnet

import anthropic

client = anthropic.Anthropic(api_key="YOUR_API_KEY")
response = client.messages.create(
    model="claude-3-5-sonnet-20241022",
    max_tokens=100,
    messages=[{"role": "user", "content": "Hello, world!"}]
)
print(response.content[0].text)

Frequently asked questions

Which model has a larger context window, Claude 3.5 Sonnet or Gemini 2.5 Pro?

Gemini 2.5 Pro generally offers a much larger context window, reportedly up to 1 million tokens or more in some configurations, compared to Claude 3.5 Sonnet's 200K tokens. However, the maximum context can vary by access method and plan, so check the official documentation for the exact limits.

How do the benchmark scores of Claude 3.5 Sonnet and Gemini 2.5 Pro compare?

Both models have shown competitive performance on benchmarks like MMLU and HumanEval, but scores are version-specific and depend on evaluation settings. It's best to consult the latest official benchmark reports from Anthropic and Google, and consider running your own evaluations for your specific use case.

What is the API pricing for each model per 1M tokens?

Pricing for both models is subject to change and varies by input/output tokens and usage tier. As of recent published rates, Claude 3.5 Sonnet has been priced around $3 per million input tokens and $15 per million output tokens, while Gemini 2.5 Pro pricing should be verified on Google's official pricing page. Always confirm current rates before budgeting.

Which model is faster in terms of latency?

Latency depends on many factors including prompt length, output length, and API load. Claude 3.5 Sonnet is often optimized for low-latency interactive use, while Gemini 2.5 Pro may have higher latency for very long inputs but offers high throughput. For critical applications, benchmark both models with your own workloads.

Are these models open source or closed source?

Both Claude 3.5 Sonnet and Gemini 2.5 Pro are closed-source models. They are available only through their respective APIs (Anthropic and Google Cloud/Vertex AI) and cannot be self-hosted. This means you rely on the providers for hosting, updates, and security.

Which model is better for multimodal tasks?

Gemini 2.5 Pro is natively multimodal and can process text, images, audio, and video, making it more versatile for rich media tasks. Claude 3.5 Sonnet supports image inputs but does not natively handle audio or video, so it's better suited for text and image-based workflows.

Can I use these models for free?

Both models are primarily offered through paid APIs, though limited free tiers or credits may be available via Google AI Studio or Anthropic's console for evaluation. For production use, you should expect to pay based on token usage. Check the providers' websites for any free tier offerings.

Which model should I choose for coding tasks?

Claude 3.5 Sonnet is often praised for its coding abilities and has strong performance on HumanEval, making it a solid choice for code generation and debugging. Gemini 2.5 Pro also performs well on coding benchmarks and offers a larger context window, which can be advantageous for large codebases. Consider testing both on your specific coding tasks.