💰 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 DeepSeek V4 Pro 80.6% SWE-bench · 94.5% HumanEval
🧠 STEM Reasoning Winner DeepSeek V4 Pro 90.1% GPQA · 97.3% MATH-500

Which model is better: DeepSeek V4 Pro or Gemma 4 31B IT?

Gemma 4 31B IT is 90.9% cheaper for input tokens ($0.12 vs. $1.32 per 1M tokens) and $0.36 vs. $3.96 for output tokens (11.0x cost advantage). In terms of operational performance, Gemma 4 31B IT delivers lower response latency at 115ms TTFT (405ms faster than DeepSeek V4 Pro) with 155 vs. 78 tok/s throughput. DeepSeek V4 Pro leads coding evaluations at 80.6% SWE-bench Verified vs. 59.2% for Gemma 4 31B IT and 90.1% 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 DeepSeek V4 Pro Gemma 4 31B IT Net Delta / Advantage
Input Cost / 1M Tokens $1.32 $0.12 Gemma 4 31B IT is 11.0x cheaper
Output Cost / 1M Tokens $3.96 $0.36 Gemma 4 31B IT (90.9% lower)
Prompt Cache Read / 1M $0.145 $0.030 Gemma 4 31B IT is 4.8x cheaper
Prompt Cache Write / 1M $1.32 $0.12 Gemma 4 31B IT is 11.0x cheaper
Context Window (Max Output) 1,024k (128k out) 131k (16k out) DeepSeek V4 Pro (7.8x larger context)
Avg TTFT Response Latency 520ms 115ms Gemma 4 31B IT (405ms faster)
Generation Speed (Throughput) 78 tok/s 155 tok/s Gemma 4 31B IT (+77 tok/s faster)
SWE-bench Verified (Coding) 80.6% 59.2% DeepSeek V4 Pro (+21.4% lead)
GPQA Diamond (PhD STEM) 90.1% 71.2% DeepSeek V4 Pro (+18.9% lead)
MMLU-Pro (Multi-Discipline) 88.4% 82.8% DeepSeek V4 Pro (+5.6% lead)
MATH-500 (Quantitative Logic) 97.3% 91.5% DeepSeek V4 Pro (+5.8% lead)
Inference Value Score (IVR) 67 / 100 80.3 / 100 Gemma 4 31B IT (+13.3 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

DeepSeek V4 Pro $38.11

$1.32/1M in · $3.96/1M out

Prompt Cache: $0.145/1M read · $1.32/1M write

Gemma 4 31B IT $3.68

$0.12/1M in · $0.36/1M out

Prompt Cache: $0.030/1M read · $0.12/1M write

Projected Monthly Cost Reduction
$34.44 / mo
(90.4% lower cost with Gemma 4 31B IT)
Open Full Matchup Analysis →
A

When to Choose DeepSeek V4 Pro

Choose DeepSeek V4 Pro (DeepSeek) for open-weight 1.6T MoE powerhouse designed for cost-effective full-repository code generation, mathematical reasoning, and persistent chain-of-thought multi-step agent workflows — offering a 1,024k context window, 520ms TTFT, and $1.32/1M input pricing ($0.145/1M cached reads).

B

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).

Related Questions & Decision Factors

Which is cheaper: DeepSeek V4 Pro or Gemma 4 31B IT?

Gemma 4 31B IT is cheaper at $0.12/1M input tokens ($0.36/1M output) compared to $1.32/1M input ($3.96/1M output) for DeepSeek V4 Pro.

Which model has lower TTFT latency and higher tok/s throughput: DeepSeek V4 Pro or Gemma 4 31B IT?

Gemma 4 31B IT delivers faster first-token latency at 115ms TTFT (155 tok/s throughput) compared to 520ms TTFT (78 tok/s) for DeepSeek V4 Pro.

How do DeepSeek V4 Pro and Gemma 4 31B IT compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, DeepSeek V4 Pro scores 80.6% versus 59.2% for Gemma 4 31B IT. On GPQA Diamond graduate-level STEM reasoning, DeepSeek V4 Pro scores 90.1% versus 71.2% for Gemma 4 31B IT (and 97.3% vs 91.5% on MATH-500).

When should you choose DeepSeek V4 Pro?

Choose DeepSeek V4 Pro (DeepSeek) for open-weight 1.6T MoE powerhouse designed for cost-effective full-repository code generation, mathematical reasoning, and persistent chain-of-thought multi-step agent workflows — offering a 1,024k context window, 520ms TTFT, and $1.32/1M input pricing ($0.145/1M cached reads).

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).

Explore High-Priority Related Model Matchups