Which model is better: Claude 3.5 Sonnet or Qwen 3.8 Flash Next?
Qwen 3.8 Flash Next is 94.7% cheaper for input tokens ($0.16 vs. $3.00 per 1M tokens) and $0.47 vs. $15.00 for output tokens (18.8x cost advantage). In terms of operational performance, Qwen 3.8 Flash Next delivers lower response latency at 280ms TTFT (30ms faster than Claude 3.5 Sonnet) with 185 vs. 80 tok/s throughput. Qwen 3.8 Flash Next leads coding evaluations at 81.0% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 91.7% vs. 59.4% 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
Claude 3.5 Sonnet
Qwen 3.8 Flash Next
Net Delta / Advantage
Input Cost / 1M Tokens
$3.00
$0.16
Qwen 3.8 Flash Next is 18.8x cheaper
Output Cost / 1M Tokens
$15.00
$0.47
Qwen 3.8 Flash Next (96.9% lower)
Prompt Cache Read / 1M
$0.300
$0.016
Qwen 3.8 Flash Next is 18.8x cheaper
Prompt Cache Write / 1M
$3.75
$0.20
Qwen 3.8 Flash Next is 18.8x cheaper
Context Window (Max Output)
205k (8k out)
268k (66k out)
Qwen 3.8 Flash Next (1.3x larger context)
Avg TTFT Response Latency
310ms
280ms
Qwen 3.8 Flash Next (30ms faster)
Generation Speed (Throughput)
80 tok/s
185 tok/s
Qwen 3.8 Flash Next (+105 tok/s faster)
SWE-bench Verified (Coding)
49%
81%
Qwen 3.8 Flash Next (+32.0% lead)
GPQA Diamond (PhD STEM)
59.4%
91.7%
Qwen 3.8 Flash Next (+32.3% lead)
MMLU-Pro (Multi-Discipline)
78%
88.4%
Qwen 3.8 Flash Next (+10.4% lead)
MATH-500 (Quantitative Logic)
78.3%
95.7%
Qwen 3.8 Flash Next (+17.4% lead)
Inference Value Score (IVR)
46.2 / 100
85.1 / 100
Qwen 3.8 Flash Next (+38.9 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Which is cheaper: Claude 3.5 Sonnet or Qwen 3.8 Flash Next?
Qwen 3.8 Flash Next is cheaper at $0.16/1M input tokens ($0.47/1M output) compared to $3.00/1M input ($15.00/1M output) for Claude 3.5 Sonnet.
Which model has lower TTFT latency and higher tok/s throughput: Claude 3.5 Sonnet 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 310ms TTFT (80 tok/s) for Claude 3.5 Sonnet.
How do Claude 3.5 Sonnet and Qwen 3.8 Flash Next compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 3.5 Sonnet scores 49% versus 81% for Qwen 3.8 Flash Next. On GPQA Diamond graduate-level STEM reasoning, Claude 3.5 Sonnet scores 59.4% versus 91.7% for Qwen 3.8 Flash Next (and 78.3% vs 95.7% on MATH-500).
When should you choose Claude 3.5 Sonnet?
Choose Claude 3.5 Sonnet (Anthropic) for legacy enterprise workflows, code review pipelines, and human-like content generation — offering a 204k context window, 310ms TTFT, and $3.00/1M input pricing ($0.300/1M 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).
