💰 Unit Cost Winner Qwen 3.8 Flash Next $0.16/1M in · $0.47/1M out
⚡ Latency & Speed Winner Qwen 3.8 Flash Next 280ms TTFT · 185 tok/s
💻 Coding (SWE) Winner Qwen 3.8 Flash Next 81% SWE-bench · 95.1% HumanEval
🧠 STEM Reasoning Winner Qwen 3.8 Flash Next 91.7% GPQA · 95.7% MATH-500

Which model is better: Grok 4 or Qwen 3.8 Flash Next?

Qwen 3.8 Flash Next is 93.6% cheaper for input tokens ($0.16 vs. $2.50 per 1M tokens) and $0.47 vs. $12.50 for output tokens (15.6x cost advantage). In terms of operational performance, Qwen 3.8 Flash Next delivers lower response latency at 280ms TTFT (200ms faster than Grok 4) with 185 vs. 95 tok/s throughput. Qwen 3.8 Flash Next leads coding evaluations at 81.0% SWE-bench Verified vs. 73.2% for Grok 4 and 91.7% vs. 86.2% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.

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 4 Qwen 3.8 Flash Next Net Delta / Advantage
Input Cost / 1M Tokens $2.50 $0.16 Qwen 3.8 Flash Next is 15.6x cheaper
Output Cost / 1M Tokens $12.50 $0.47 Qwen 3.8 Flash Next (96.2% lower)
Prompt Cache Read / 1M $0.500 $0.016 Qwen 3.8 Flash Next is 31.3x cheaper
Prompt Cache Write / 1M $2.50 $0.20 Qwen 3.8 Flash Next is 12.5x cheaper
Context Window (Max Output) 262k (66k out) 268k (66k out) Qwen 3.8 Flash Next (1.0x larger context)
Avg TTFT Response Latency 480ms 280ms Qwen 3.8 Flash Next (200ms faster)
Generation Speed (Throughput) 95 tok/s 185 tok/s Qwen 3.8 Flash Next (+90 tok/s faster)
SWE-bench Verified (Coding) 73.2% 81% Qwen 3.8 Flash Next (+7.8% lead)
GPQA Diamond (PhD STEM) 86.2% 91.7% Qwen 3.8 Flash Next (+5.5% lead)
MMLU-Pro (Multi-Discipline) 89.9% 88.4% Grok 4 (+1.5% lead)
MATH-500 (Quantitative Logic) 97.6% 95.7% Grok 4 (+1.9% lead)
Inference Value Score (IVR) 57.6 / 100 85.1 / 100 Qwen 3.8 Flash Next (+27.5 pts)

Interactive Monthly Token Economics & ROI Forecaster

Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.

25.0M Tokens
500K 50M 250M 500M+
5.0M Tokens
100K 25M 75M 150M+
50% Cached
0% (Uncached) 25% 50% (Typical Agent) 95% Max

Estimated Monthly Spend

Grok 4 $100.00

$2.50/1M in · $12.50/1M out

Prompt Cache: $0.500/1M read · $2.50/1M write

Qwen 3.8 Flash Next $4.55

$0.16/1M in · $0.47/1M out

Prompt Cache: $0.016/1M read · $0.20/1M write

Projected Monthly Cost Reduction
$95.45 / mo
(95.5% lower cost with Qwen 3.8 Flash Next)
Open Full Matchup Analysis →
A

When to Choose Grok 4

Choose Grok 4 (xAI) for real-time financial/market intelligence, PhD-level STEM problem solving, and autonomous code generation — offering a 262k context window, 480ms TTFT, and $2.50/1M input pricing ($0.500/1M cached reads).

B

When to 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).

Related Questions & Decision Factors

Which is cheaper: Grok 4 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 $2.50/1M input ($12.50/1M output) for Grok 4.

Which model has lower TTFT latency and higher tok/s throughput: Grok 4 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 480ms TTFT (95 tok/s) for Grok 4.

How do Grok 4 and Qwen 3.8 Flash Next compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, Grok 4 scores 73.2% versus 81% for Qwen 3.8 Flash Next. On GPQA Diamond graduate-level STEM reasoning, Grok 4 scores 86.2% versus 91.7% for Qwen 3.8 Flash Next (and 97.6% vs 95.7% on MATH-500).

When should you choose Grok 4?

Choose Grok 4 (xAI) for real-time financial/market intelligence, PhD-level STEM problem solving, and autonomous code generation — offering a 262k context window, 480ms TTFT, and $2.50/1M input pricing ($0.500/1M 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).

Explore High-Priority Related Model Matchups