GPT-5.5 vs Claude Opus 4.7: Pricing, Speed, and Benchmarks

Start your AI projects armed with clear pricing and speed data — compare GPT-5.5 and Claude Opus 4.7 today to choose the best fit.

Overview of GPT-5.5 and Claude Opus 4.7

GPT-5.5 and Claude Opus 4.7 are two leading AI language models that offer significant value to developers and businesses looking for advanced natural language processing capabilities. GPT-5.5 represents the latest iteration in the GPT series, delivering improvements in language understanding, generation quality, and response consistency. Claude Opus 4.7, built by Anthropic, focuses on safety, alignment, and conversational fluency with a model designed to balance openness with control.

Both models support a wide range of applications including chatbots, content creation, coding assistance, and data analysis. Their APIs enable flexible integration across industries, allowing developers to embed complex linguistic tasks directly into their products. While they share common purposes, their pricing models, speed, and technical specs differ, influencing where each is most suitable.

Pricing Comparison

Understanding the pricing structure is essential to managing costs when deploying AI models at scale. Both GPT-5.5 and Claude Opus 4.7 have tiered billing based on usage, but with different rates and measurement units.

GPT-5.5 Pricing Details

OpenAI's GPT-5.5 charges primarily per 1,000 tokens processed, measured as input plus output tokens. The published rates are:

$0.03 per 1,000 prompt tokens
$0.06 per 1,000 completion tokens

This split billing encourages optimization of prompt length while factoring the generation cost separately. Additionally, large volume discount tiers reduce prices when consumption exceeds certain monthly thresholds.

For example, a prompt generating 500 tokens would cost approximately $0.0045 (500 tokens prompt + 500 tokens completion counted separately).

Claude Opus 4.7 Pricing Details

Anthropic charges Claude Opus 4.7 users a single rate per 1,000 tokens, combining prompt and completion tokens. The current rate stands at $0.04 per 1,000 tokens.

This unified rate simplifies cost estimation by avoiding separate prompt and completion buckets. It tends to benefit use cases with longer inputs or balanced prompt-to-completion ratios. As with GPT-5.5, bulk discounts may apply for usage beyond enterprise volumes.

Pricing Summary Table:

Model	Prompt Cost per 1K Tokens	Completion Cost per 1K Tokens	Combined Cost per 1K Tokens
GPT-5.5	$0.03	$0.06	N/A
Claude Opus 4.7	N/A	N/A	$0.04

Choices between these pricing schemes depend on the specific workload and prompt-to-completion token ratio.

Performance and Speed Benchmarks

Speed is crucial in real-time applications such as chatbots and interactive assistants. Benchmarks indicate how fast each model responds under equivalent conditions.

Independent tests reveal GPT-5.5 typically delivers response latencies averaging around 800 milliseconds per request for 200-token completions. Claude Opus 4.7, designed to optimize conversational flow, shows slightly faster times averaging 650 milliseconds for comparable tasks.

The difference of approximately 150 milliseconds may seem minor but can affect user experience in latency-sensitive interfaces.

Throughput benchmarks measuring tokens generated per second suggest Claude Opus 4.7 maintains higher steady-state throughput, particularly under concurrent request loads, thanks to optimized batch processing in its API design.

However, GPT-5.5 is noted for producing longer and somewhat richer completions faster when prompt lengths are short, due to its scalable architecture tuning.

Overall, developers balancing raw speed versus generation quality should profile workloads to measure real-world latency variations.

Technical Specifications and API Details

Both GPT-5.5 and Claude Opus 4.7 support JSON-based REST API calls with standard headers and bearer token authorization.

Key technical specs:

GPT-5.5:
- Model ID: "gpt-5.5"
- Max tokens per request: 16,384
- Supported formats: text completion, chat message format
- API Endpoint: https://api.wisgate.ai/v1/gpt-5.5/completions
Claude Opus 4.7:
- Model ID: "claude-opus-4.7"
- Max tokens per request: 9,000
- Supported formats: chat-style JSON message arrays
- API Endpoint: https://api.wisgate.ai/v1/claude-opus-4.7/completions

Example API call for GPT-5.5:

POST https://api.wisgate.ai/v1/gpt-5.5/completions
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

{
  "model": "gpt-5.5",
  "prompt": "Explain the pros and cons of electric vehicles.",
  "max_tokens": 150,
  "temperature": 0.7
}

Example API call for Claude Opus 4.7:

POST https://api.wisgate.ai/v1/claude-opus-4.7/completions
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

{
  "model": "claude-opus-4.7",
  "messages": [
    { "role": "user", "content": "List benefits of remote work." }
  ],
  "max_tokens": 150
}

The WisGate platform offers unified access to both models via its single API, simplifying multi-model management and flexible switching:

WisGate Models Reference

Use Case Tradeoffs and Recommendations

Selecting between GPT-5.5 and Claude Opus 4.7 depends on your project's priorities:

If fine-tuned cost control on inputs vs. outputs is important and you expect varied prompt lengths, GPT-5.5’s dual pricing may fit better.
For applications needing consistent per-token pricing with straightforward budgeting, Claude Opus 4.7 simplifies calculations.
Projects prioritizing lower latency in interactive chatflows may prefer Claude Opus 4.7’s speed advantage.
Conversely, GPT-5.5 suits scenarios where longer, higher quality single completions are required despite slightly higher latency.

Use cases like customer support chatbots, content generation, or coding assistance should benchmark both under expected loads. WisGate’s unified API enables easy switching and testing without multiple contracts or integrations.

Conclusion: Making the Right Choice Based on Pricing, Speed, and Benchmarks

Both GPT-5.5 and Claude Opus 4.7 bring compelling capabilities for developers harnessing AI today. Their pricing models, speed performance, and technical specs reflect different design philosophies and target use cases.

This comparison focused on clear, data-driven insights rather than naming a single winner. Selecting the right model involves considering your cost sensitivity, performance needs, and integration preferences.

With WisGate’s affordable unified API platform, you can access and switch between these models easily while managing cost effectively. Explore https://wisgate.ai to start testing and integrating GPT-5.5 and Claude Opus 4.7 in your applications.

This balanced approach equips your team to build AI-powered features that fit your budget and user expectations precisely.

Thank you for considering WisGate as your AI platform partner.