💰 Unit Cost Winner Gemma 4 31B IT $0.12/1M in · $0.36/1M out
⚡ Latency & Speed Winner Gemma 4 31B IT 115ms TTFT · 155 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: Gemma 4 31B IT or Qwen 3.8 Flash Next?

Gemma 4 31B IT is 25.0% cheaper for input tokens ($0.12 vs. $0.16 per 1M tokens) and $0.36 vs. $0.47 for output tokens (1.3x cost advantage). In terms of operational performance, Gemma 4 31B IT delivers lower response latency at 115ms TTFT (165ms faster than Qwen 3.8 Flash Next) with 155 vs. 185 tok/s throughput. Qwen 3.8 Flash Next leads coding evaluations at 81.0% SWE-bench Verified vs. 59.2% for Gemma 4 31B IT and 91.7% vs. 71.2% 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 Gemma 4 31B IT Qwen 3.8 Flash Next Net Delta / Advantage
Input Cost / 1M Tokens $0.12 $0.16 Gemma 4 31B IT is 1.3x cheaper
Output Cost / 1M Tokens $0.36 $0.47 Gemma 4 31B IT (23.4% lower)
Prompt Cache Read / 1M $0.030 $0.016 Qwen 3.8 Flash Next is 1.9x cheaper
Prompt Cache Write / 1M $0.12 $0.20 Gemma 4 31B IT is 1.7x cheaper
Context Window (Max Output) 131k (16k out) 268k (66k out) Qwen 3.8 Flash Next (2.0x larger context)
Avg TTFT Response Latency 115ms 280ms Gemma 4 31B IT (165ms faster)
Generation Speed (Throughput) 155 tok/s 185 tok/s Qwen 3.8 Flash Next (+30 tok/s faster)
SWE-bench Verified (Coding) 59.2% 81% Qwen 3.8 Flash Next (+21.8% lead)
GPQA Diamond (PhD STEM) 71.2% 91.7% Qwen 3.8 Flash Next (+20.5% lead)
MMLU-Pro (Multi-Discipline) 82.8% 88.4% Qwen 3.8 Flash Next (+5.6% lead)
MATH-500 (Quantitative Logic) 91.5% 95.7% Qwen 3.8 Flash Next (+4.2% lead)
Inference Value Score (IVR) 80.3 / 100 85.1 / 100 Qwen 3.8 Flash Next (+4.8 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

Gemma 4 31B IT $3.68

$0.12/1M in · $0.36/1M out

Prompt Cache: $0.030/1M read · $0.12/1M 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
$0.88 / mo
(19.2% lower cost with Gemma 4 31B IT)
Open Full Matchup Analysis →
A

When to Choose Gemma 4 31B IT

Choose Gemma 4 31B IT (Google) for self-hosted VPC inference, fine-tuned domain agents, sovereign healthcare/finance workloads, and low-latency local code generation — offering a 131k context window, 115ms TTFT, and $0.12/1M input pricing ($0.030/1M 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: Gemma 4 31B IT or Qwen 3.8 Flash Next?

Gemma 4 31B IT is cheaper at $0.12/1M input tokens ($0.36/1M output) compared to $0.16/1M input ($0.47/1M output) for Qwen 3.8 Flash Next.

Which model has lower TTFT latency and higher tok/s throughput: Gemma 4 31B IT or Qwen 3.8 Flash Next?

Gemma 4 31B IT delivers faster first-token latency at 115ms TTFT (155 tok/s throughput) compared to 280ms TTFT (185 tok/s) for Qwen 3.8 Flash Next.

How do Gemma 4 31B IT and Qwen 3.8 Flash Next compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, Gemma 4 31B IT scores 59.2% versus 81% for Qwen 3.8 Flash Next. On GPQA Diamond graduate-level STEM reasoning, Gemma 4 31B IT scores 71.2% versus 91.7% for Qwen 3.8 Flash Next (and 91.5% vs 95.7% on MATH-500).

When should you choose Gemma 4 31B IT?

Choose Gemma 4 31B IT (Google) for self-hosted VPC inference, fine-tuned domain agents, sovereign healthcare/finance workloads, and low-latency local code generation — offering a 131k context window, 115ms TTFT, and $0.12/1M input pricing ($0.030/1M 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