Ling 3.0 Flash API Provider Benchmarking & Analysis
This analysis is intended to support you in choosing the best API provider of Ling 3.0 Flash for your use-case.
Fastest
InclusionAI
DeepInfraOutput speed
Total 2 providers
Lowest Latency
InclusionAIDeepInfraTime to first answer token
Total 2 providers
Lowest Price
DeepInfraInclusionAIBlended price (per 1M tokens)
Total 2 providers
Ling 3.0 Flash is available through 2 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 InclusionAI (331.9 t/s) and DeepInfra (56.9 t/s).
- For latency, InclusionAI (8.51s) and DeepInfra (35.83s) offer the lowest time to first answer token.
- For pricing, DeepInfra (0.04) and InclusionAI (0.05) offer the lowest blended prices per 1M tokens.
- InclusionAI offers the best performance with both the highest speed and lowest latency. For cost optimization, DeepInfra provides the most competitive pricing.
Highlights
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
Pricing: Blended Price
Pricing: Cache Discount
Output Speed vs. Price
Speed
Measured by Output Speed (tokens per second)
Output Speed: Ling 3.0 Flash
Latency vs. Output Speed
Latency
Measured by Time (seconds) to First Token
Time to First Answer Token
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 Ling 3.0 Flash providers
Ling 3.0 Flash is available through 2 API providers: DeepInfra and InclusionAI. Each provider offers different performance characteristics and pricing.
Ling 3.0 Flash is currently available through 2 API providers that we benchmark and track.
The fastest providers for Ling 3.0 Flash by output speed are InclusionAI (331.9 t/s) and DeepInfra (56.9 t/s). Output speed measures how quickly tokens are generated after the model starts responding.
The providers with the lowest time to first answer token for Ling 3.0 Flash are InclusionAI (8.51s) and DeepInfra (35.83s). Lower latency means faster initial response time.
The most affordable providers for Ling 3.0 Flash by blended price are DeepInfra ($0.04 per 1M tokens) and InclusionAI ($0.05 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 Ling 3.0 Flash are DeepInfra ($0.06 per 1M input tokens) and InclusionAI ($0.07 per 1M input tokens).
The providers with the lowest output token pricing for Ling 3.0 Flash are DeepInfra ($0.18 per 1M output tokens) and InclusionAI ($0.22 per 1M output tokens).
Prices for Ling 3.0 Flash vary up to 1.2x across providers. The most affordable is DeepInfra at $0.04 per 1M tokens, while InclusionAI charges $0.05 per 1M tokens.
Output speed for Ling 3.0 Flash varies significantly across providers. InclusionAI is the fastest at 331.9 t/s, which is 5.8x faster than DeepInfra at 56.9 t/s.
All 2 providers of Ling 3.0 Flash support JSON mode for structured output.
All 2 providers of Ling 3.0 Flash support function calling (tool use).
For Ling 3.0 Flash, InclusionAI offers the best performance with highest speed and lowest latency. For cost optimization, DeepInfra provides the most competitive pricing.
When choosing a provider for Ling 3.0 Flash, 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 Ling 3.0 Flash's intelligence, capabilities, modalities, and how it compares to other models, see the model overview page. View model overview