💰 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: Claude 4.5 Sonnet or Qwen 3.8 Flash Next?

Qwen 3.8 Flash Next decisively outperforms Claude 4.5 Sonnet in both pricing and capability. Qwen is 94.7% cheaper for input ($0.16 vs. $3.00 per 1M tokens) and $0.47 vs. $15.00 for output. It also leads on SWE-bench Verified (81.0% vs. 75.8%) and GPQA Diamond (91.7% vs. 84.2%), while delivering faster 280ms TTFT latency and 185 tok/s throughput.
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 Claude 4.5 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 (64k out) 268k (66k out) Qwen 3.8 Flash Next (1.3x larger context)
Avg TTFT Response Latency 380ms 280ms Qwen 3.8 Flash Next (100ms faster)
Generation Speed (Throughput) 84 tok/s 185 tok/s Qwen 3.8 Flash Next (+101 tok/s faster)
SWE-bench Verified (Coding) 75.8% 81% Qwen 3.8 Flash Next (+5.2% lead)
GPQA Diamond (PhD STEM) 84.2% 91.7% Qwen 3.8 Flash Next (+7.5% lead)
MMLU-Pro (Multi-Discipline) 90.4% 88.4% Claude 4.5 Sonnet (+2.0% lead)
MATH-500 (Quantitative Logic) 97.5% 95.7% Claude 4.5 Sonnet (+1.8% lead)
Inference Value Score (IVR) 56.5 / 100 85.1 / 100 Qwen 3.8 Flash Next (+28.6 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

Claude 4.5 Sonnet $116.25

$3.00/1M in · $15.00/1M out

Prompt Cache: $0.300/1M read · $3.75/1M 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
$111.70 / mo
(96.1% lower cost with Qwen 3.8 Flash Next)
Open Full Matchup Analysis →
A

When to Choose Claude 4.5 Sonnet

Choose Claude 4.5 Sonnet (Anthropic) for end-to-end autonomous coding agents, complex multi-file debugging, browser/GUI automation, and high-precision technical writing — offering a 204k context window, 380ms TTFT, and $3.00/1M input pricing ($0.300/1M 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: Claude 4.5 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 4.5 Sonnet.

Which model has lower TTFT latency and higher tok/s throughput: Claude 4.5 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 380ms TTFT (84 tok/s) for Claude 4.5 Sonnet.

How do Claude 4.5 Sonnet and Qwen 3.8 Flash Next compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, Claude 4.5 Sonnet scores 75.8% versus 81% for Qwen 3.8 Flash Next. On GPQA Diamond graduate-level STEM reasoning, Claude 4.5 Sonnet scores 84.2% versus 91.7% for Qwen 3.8 Flash Next (and 97.5% vs 95.7% on MATH-500).

When should you choose Claude 4.5 Sonnet?

Choose Claude 4.5 Sonnet (Anthropic) for end-to-end autonomous coding agents, complex multi-file debugging, browser/GUI automation, and high-precision technical writing — offering a 204k context window, 380ms 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).

Explore High-Priority Related Model Matchups