Llama 4 Maverick API Provider Benchmarking & Analysis
This analysis is intended to support you in choosing the best API provider of Llama 4 Maverick for your use-case.
Fastest
Output speed
Total 7 providers
Lowest Latency
Time to first token
Total 7 providers
Lowest Price
Blended price (per 1M tokens)
Total 7 providers
Llama 4 Maverick is available through 7 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 (FP8) (397.9 t/s), Parasail (FP8) (84.0 t/s), and Novita (FP8) (35.1 t/s). Speed varies significantly across providers, with a 2263% difference between the fastest and slowest.
- For latency, DeepInfra (FP8) (0.88s), DigitalOcean (0.99s), and Parasail (FP8) (1.08s) offer the lowest time to first token.
- For pricing, DigitalOcean (0.17), DeepInfra (FP8) (0.26), and Parasail (FP8) (0.29) offer the lowest blended prices per 1M tokens.
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: Cache Hit, Input, and Output
Cost per Intelligence Index Task
Output Speed vs. Price
Speed
Measured by Output Speed (tokens per second)
Output Speed: Llama 4 Maverick
Time per Intelligence Index Task
Cost per Task vs. Time per Task
Latency
Measured by Time (seconds) to First Token
Time to First Token
Cache Behaviour
Cache Hit Rate
Cost per Task vs. Cache Hit Rate
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
Key Comparison Metrics & API Features
Frequently Asked Questions
Common questions about Llama 4 Maverick providers
Llama 4 Maverick is available through 7 API providers: Novita (FP8), Azure (FP8), Amazon, Together AI, DeepInfra (FP8), DigitalOcean, and Parasail (FP8). Each provider offers different performance characteristics and pricing.
Llama 4 Maverick is currently available through 7 API providers that we benchmark and track.
The fastest providers for Llama 4 Maverick by output speed are Azure (FP8) (397.9 t/s), Parasail (FP8) (84.0 t/s), and Novita (FP8) (35.1 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 Llama 4 Maverick are DeepInfra (FP8) (0.88s), DigitalOcean (0.99s), and Parasail (FP8) (1.08s). Lower latency means faster initial response time.
The most affordable providers for Llama 4 Maverick by blended price are DigitalOcean ($0.17 per 1M tokens), DeepInfra (FP8) ($0.26 per 1M tokens), and Parasail (FP8) ($0.29 per 1M tokens). Blended price uses a 7:2:1 cache hit/input/output token ratio.
The providers with the lowest input token pricing for Llama 4 Maverick are DeepInfra (FP8) ($0.20 per 1M input tokens), Amazon ($0.24 per 1M input tokens), and Azure (FP8) ($0.25 per 1M input tokens).
The providers with the lowest output token pricing for Llama 4 Maverick are DeepInfra (FP8) ($0.80 per 1M output tokens), Novita (FP8) ($0.85 per 1M output tokens), and Together AI ($0.85 per 1M output tokens).
Prices for Llama 4 Maverick vary up to 1.9x across providers. The most affordable is DigitalOcean at $0.17 per 1M tokens, while Novita (FP8) charges $0.33 per 1M tokens.
Output speed for Llama 4 Maverick varies significantly across providers. Azure (FP8) is the fastest at 397.9 t/s, which is 23.6x faster than DigitalOcean at 16.8 t/s.
6 of 7 providers support JSON mode for Llama 4 Maverick: Novita (FP8), Azure (FP8), Together AI, DeepInfra (FP8), DigitalOcean, and Parasail (FP8).
6 of 7 providers support function calling for Llama 4 Maverick: Azure (FP8), Amazon, Together AI, DeepInfra (FP8), DigitalOcean, and Parasail (FP8).
The best provider for Llama 4 Maverick depends on your priorities: Azure (FP8) offers the highest output speed, DeepInfra (FP8) has the lowest latency, and DigitalOcean provides the most competitive pricing.
When choosing a provider for Llama 4 Maverick, 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 Llama 4 Maverick's intelligence, capabilities, modalities, and how it compares to other models, see the model overview page. View model overview