OpenAI has launched a newer model, GPT-5.2 (xhigh), we suggest considering this model instead.
For more information, see Comparison of GPT-5.2 (xhigh) to other models and API provider benchmarks for GPT-5.2 (xhigh).
GPT-5.1 (high) API Provider Benchmarking & Analysis
Analysis of API providers for GPT-5.1 (high) across performance metrics including latency (time to first token), output speed (output tokens per second), price and others. API providers benchmarked include Databricks, OpenAI, Microsoft Azure.
Fastest
AzureOpenAI
DatabricksOutput speed
Total 3 providers
Lowest Latency
AzureDatabricksOpenAITime to first token
Total 3 providers
Lowest Price
DatabricksOpenAIAzureBlended price (per 1M tokens)
Total 3 providers
GPT-5.1 (high) is available through 3 API providers, each offering different performance characteristics and pricing. Below is a comparison of the key metrics across providers.
- For output speed, the top providers are Azure (126.9 t/s), OpenAI (93.9 t/s), Databricks (90.8 t/s).
- For latency, Azure (33.22s), Databricks (40.19s), OpenAI (43.47s) offer the lowest time to first token.
- For pricing, Databricks (3.44), OpenAI (3.44), Azure (3.44) offer the lowest blended prices per 1M tokens.
- Azure offers the best performance with both the highest speed and lowest latency. For cost optimization, Databricks provides the most competitive pricing.
Update: Default performance benchmarking workload has updated to 10k input tokens to better reflect production use cases. You can still select different workloads above!
Pricing
Pricing: Input and Output Prices: GPT-5.1 (high) Providers
Speed vs. Price: GPT-5.1 (high) Providers
Speed
Measured by Output Speed (tokens per second)
Output Speed: GPT-5.1 (high) Providers
Latency vs. Output Speed: GPT-5.1 (high) Providers
Latency
Measured by Time (seconds) to First Token
Time to First Answer Token: GPT-5.1 (high) Providers
End-to-End Response Time
Seconds to output 500 Tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time: GPT-5.1 (high) Providers
API Features
Function (Tool) Calling & JSON Mode: GPT-5.1 (high) Providers
DatabricksContext Window: GPT-5.1 (high) Providers
Summary Table of Key Comparison Metrics
Frequently Asked Questions
Common questions about GPT-5.1 (high) providers
GPT-5.1 (high) is available through 3 API providers: Databricks, OpenAI, and Azure. Each provider offers different performance characteristics and pricing.
GPT-5.1 (high) is currently available through 3 API providers that we benchmark and track.
The fastest providers for GPT-5.1 (high) by output speed are Azure (126.9 t/s), OpenAI (93.9 t/s), and Databricks (90.8 t/s). Output speed measures how quickly tokens are generated after the model starts responding.
The providers with the lowest time to first token for GPT-5.1 (high) are Azure (33.22s), Databricks (40.19s), and OpenAI (43.47s). Lower latency means faster initial response time.
The most affordable providers for GPT-5.1 (high) by blended price are Databricks ($3.44 per 1M tokens), OpenAI ($3.44 per 1M tokens), and Azure ($3.44 per 1M tokens). Blended price uses a 3:1 input to output token ratio.
The providers with the lowest input token pricing for GPT-5.1 (high) are Databricks ($1.25 per 1M input tokens), OpenAI ($1.25 per 1M input tokens), and Azure ($1.25 per 1M input tokens).
The providers with the lowest output token pricing for GPT-5.1 (high) are Databricks ($10.00 per 1M output tokens), OpenAI ($10.00 per 1M output tokens), and Azure ($10.00 per 1M output tokens).
All 3 providers of GPT-5.1 (high) support JSON mode for structured output.
All 3 providers of GPT-5.1 (high) support function calling (tool use).
For GPT-5.1 (high), Azure offers the best performance with highest speed and lowest latency. For cost optimization, Databricks provides the most competitive pricing.
When choosing a provider for GPT-5.1 (high), consider: output speed (for throughput-intensive tasks), latency (for interactive applications requiring quick first responses), pricing (for cost-sensitive workloads), and API features like JSON mode or function calling.
Yes, provider performance can vary over time due to infrastructure changes, load balancing, and updates. We continuously benchmark all providers and display historical performance trends in the "Over Time" charts.
For information about GPT-5.1 (high)'s intelligence, capabilities, modalities, and how it compares to other models, see the model overview page. View model overview