Qwen3.8-Flash-Next API Provider Benchmarking & Analysis
This analysis is intended to support you in choosing the best API provider of Qwen3.8-Flash-Next for your use-case.
Fastest
Makora (NVFP4)
Alibaba CloudOutput speed
Total 2 providers
Lowest Latency
Makora (NVFP4)Alibaba CloudTime to first answer token
Total 2 providers
Lowest Price
Alibaba CloudMakora (NVFP4)Blended price (per 1M tokens)
Total 2 providers
Qwen3.8-Flash-Next 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 Makora (NVFP4) (138.7 t/s) and Alibaba Cloud (51.6 t/s).
- For latency, Makora (NVFP4) (15.65s) and Alibaba Cloud (41.45s) offer the lowest time to first answer token.
- For pricing, Alibaba Cloud (0.09) and Makora (NVFP4) (0.09) offer the lowest blended prices per 1M tokens.
- Makora (NVFP4) offers the best performance with both the highest speed and lowest latency. For cost optimization, Alibaba Cloud 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: Qwen3.8-Flash-Next
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 Qwen3.8-Flash-Next providers
Qwen3.8-Flash-Next is available through 2 API providers: Alibaba Cloud and Makora (NVFP4). Each provider offers different performance characteristics and pricing.
Qwen3.8-Flash-Next is currently available through 2 API providers that we benchmark and track.
The fastest providers for Qwen3.8-Flash-Next by output speed are Makora (NVFP4) (138.7 t/s) and Alibaba Cloud (51.6 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 Qwen3.8-Flash-Next are Makora (NVFP4) (15.65s) and Alibaba Cloud (41.45s). Lower latency means faster initial response time.
The most affordable providers for Qwen3.8-Flash-Next by blended price are Alibaba Cloud ($0.09 per 1M tokens) and Makora (NVFP4) ($0.09 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 Qwen3.8-Flash-Next are Alibaba Cloud ($0.15 per 1M input tokens) and Makora (NVFP4) ($0.15 per 1M input tokens).
The providers with the lowest output token pricing for Qwen3.8-Flash-Next are Alibaba Cloud ($0.47 per 1M output tokens) and Makora (NVFP4) ($0.47 per 1M output tokens).
Output speed for Qwen3.8-Flash-Next varies significantly across providers. Makora (NVFP4) is the fastest at 138.7 t/s, which is 2.7x faster than Alibaba Cloud at 51.6 t/s.
All 2 providers of Qwen3.8-Flash-Next support JSON mode for structured output.
All 2 providers of Qwen3.8-Flash-Next support function calling (tool use).
For Qwen3.8-Flash-Next, Makora (NVFP4) offers the best performance with highest speed and lowest latency. For cost optimization, Alibaba Cloud provides the most competitive pricing.
When choosing a provider for Qwen3.8-Flash-Next, 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 Qwen3.8-Flash-Next's intelligence, capabilities, modalities, and how it compares to other models, see the model overview page. View model overview