Which model is better: Grok 3 Mini or Qwen 3.8 Flash Next?
Qwen 3.8 Flash Next is 46.7% cheaper for input tokens ($0.16 vs. $0.30 per 1M tokens) and $0.47 vs. $1.20 for output tokens (1.9x cost advantage). In terms of operational performance, Grok 3 Mini delivers lower response latency at 150ms TTFT (130ms faster than Qwen 3.8 Flash Next) with 160 vs. 185 tok/s throughput. Qwen 3.8 Flash Next leads coding evaluations at 81.0% SWE-bench Verified vs. 54.0% for Grok 3 Mini and 91.7% vs. 68.0% 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
Grok 3 Mini
Qwen 3.8 Flash Next
Net Delta / Advantage
Input Cost / 1M Tokens
$0.30
$0.16
Qwen 3.8 Flash Next is 1.9x cheaper
Output Cost / 1M Tokens
$1.20
$0.47
Qwen 3.8 Flash Next (60.8% lower)
Prompt Cache Read / 1M
$0.080
$0.016
Qwen 3.8 Flash Next is 5.0x cheaper
Prompt Cache Write / 1M
$0.30
$0.20
Qwen 3.8 Flash Next is 1.5x cheaper
Context Window (Max Output)
131k (16k out)
268k (66k out)
Qwen 3.8 Flash Next (2.0x larger context)
Avg TTFT Response Latency
150ms
280ms
Grok 3 Mini (130ms faster)
Generation Speed (Throughput)
160 tok/s
185 tok/s
Qwen 3.8 Flash Next (+25 tok/s faster)
SWE-bench Verified (Coding)
54%
81%
Qwen 3.8 Flash Next (+27.0% lead)
GPQA Diamond (PhD STEM)
68%
91.7%
Qwen 3.8 Flash Next (+23.7% lead)
MMLU-Pro (Multi-Discipline)
80%
88.4%
Qwen 3.8 Flash Next (+8.4% lead)
MATH-500 (Quantitative Logic)
87%
95.7%
Qwen 3.8 Flash Next (+8.7% lead)
Inference Value Score (IVR)
69.2 / 100
85.1 / 100
Qwen 3.8 Flash Next (+15.9 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose Grok 3 Mini (xAI) for high-speed reasoning model providing rapid answers and code generation with chain-of-thought capabilities at edge pricing — offering a 131k context window, 150ms TTFT, and $0.30/1M input pricing ($0.080/1M cached reads).
Which is cheaper: Grok 3 Mini 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 $0.30/1M input ($1.20/1M output) for Grok 3 Mini.
Which model has lower TTFT latency and higher tok/s throughput: Grok 3 Mini or Qwen 3.8 Flash Next?
Grok 3 Mini delivers faster first-token latency at 150ms TTFT (160 tok/s throughput) compared to 280ms TTFT (185 tok/s) for Qwen 3.8 Flash Next.
How do Grok 3 Mini and Qwen 3.8 Flash Next compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Grok 3 Mini scores 54% versus 81% for Qwen 3.8 Flash Next. On GPQA Diamond graduate-level STEM reasoning, Grok 3 Mini scores 68% versus 91.7% for Qwen 3.8 Flash Next (and 87% vs 95.7% on MATH-500).
When should you choose Grok 3 Mini?
Choose Grok 3 Mini (xAI) for high-speed reasoning model providing rapid answers and code generation with chain-of-thought capabilities at edge pricing — offering a 131k context window, 150ms TTFT, and $0.30/1M input pricing ($0.080/1M 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).
