Qwen 3.8 Flash Next is 98.9% cheaper for input tokens ($0.16 vs. $15.00 per 1M tokens) and $0.47 vs. $60.00 for output tokens (93.8x cost advantage). In terms of operational performance, Qwen 3.8 Flash Next delivers lower response latency at 280ms TTFT (2320ms faster than o1) with 185 vs. 48 tok/s throughput. Qwen 3.8 Flash Next leads coding evaluations at 81.0% SWE-bench Verified vs. 48.9% for o1 and 91.7% vs. 78.0% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.
Zero-Shot RAG Verified
Verified Performance & Unit Economics Delta (12 Dimensions)
Daily synchronized metrics across token pricing, prompt cache economics, latency, throughput, and 5 capability benchmarks.
Metric / Dimension
o1
Qwen 3.8 Flash Next
Net Delta / Advantage
Input Cost / 1M Tokens
$15.00
$0.16
Qwen 3.8 Flash Next is 93.8x cheaper
Output Cost / 1M Tokens
$60.00
$0.47
Qwen 3.8 Flash Next (99.2% lower)
Prompt Cache Read / 1M
$7.500
$0.016
Qwen 3.8 Flash Next is 468.8x cheaper
Prompt Cache Write / 1M
$15.00
$0.20
Qwen 3.8 Flash Next is 75.0x cheaper
Context Window (Max Output)
205k (100k out)
268k (66k out)
Qwen 3.8 Flash Next (1.3x larger context)
Avg TTFT Response Latency
2600ms
280ms
Qwen 3.8 Flash Next (2320ms faster)
Generation Speed (Throughput)
48 tok/s
185 tok/s
Qwen 3.8 Flash Next (+137 tok/s faster)
SWE-bench Verified (Coding)
48.9%
81%
Qwen 3.8 Flash Next (+32.1% lead)
GPQA Diamond (PhD STEM)
78%
91.7%
Qwen 3.8 Flash Next (+13.7% lead)
MMLU-Pro (Multi-Discipline)
83.3%
88.4%
Qwen 3.8 Flash Next (+5.1% lead)
MATH-500 (Quantitative Logic)
96.4%
95.7%
o1 (+0.7% lead)
Inference Value Score (IVR)
37.2 / 100
85.1 / 100
Qwen 3.8 Flash Next (+47.9 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Qwen 3.8 Flash Next is cheaper at $0.16/1M input tokens ($0.47/1M output) compared to $15.00/1M input ($60.00/1M output) for o1.
Which model has lower TTFT latency and higher tok/s throughput: o1 or Qwen 3.8 Flash Next?
Qwen 3.8 Flash Next delivers faster first-token latency at 280ms TTFT (185 tok/s throughput) compared to 2600ms TTFT (48 tok/s) for o1.
How do o1 and Qwen 3.8 Flash Next compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, o1 scores 48.9% versus 81% for Qwen 3.8 Flash Next. On GPQA Diamond graduate-level STEM reasoning, o1 scores 78% versus 91.7% for Qwen 3.8 Flash Next (and 96.4% vs 95.7% on MATH-500).
When should you choose o1?
Choose o1 (OpenAI) for legacy reasoning benchmarks, scientific literature review, and complex mathematical proofs — offering a 204k context window, 2600ms TTFT, and $15.00/1M input pricing ($7.500/1M cached reads).
When should you choose Qwen 3.8 Flash Next?
Choose Qwen 3.8 Flash Next (Alibaba Cloud) for next-generation open-weight multimodal MoE activating only 6B parameters per token for ultra-low-cost enterprise office automation, tool calling, and multilingual repository engineering — offering a 268k context window, 280ms TTFT, and $0.16/1M input pricing ($0.016/1M cached reads).
