Which model is better: Gemma 4 31B IT or Llama 4 Maverick?
Gemma 4 31B IT is 40.0% cheaper for input tokens ($0.12 vs. $0.20 per 1M tokens) and $0.36 vs. $0.60 for output tokens (1.7x cost advantage). In terms of operational performance, Gemma 4 31B IT delivers lower response latency at 115ms TTFT (20ms faster than Llama 4 Maverick) with 155 vs. 175 tok/s throughput. Llama 4 Maverick leads coding evaluations at 62.4% SWE-bench Verified vs. 59.2% for Gemma 4 31B IT and 73.8% vs. 71.2% 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
Gemma 4 31B IT
Llama 4 Maverick
Net Delta / Advantage
Input Cost / 1M Tokens
$0.12
$0.20
Gemma 4 31B IT is 1.7x cheaper
Output Cost / 1M Tokens
$0.36
$0.60
Gemma 4 31B IT (40.0% lower)
Prompt Cache Read / 1M
$0.030
$0.050
Gemma 4 31B IT is 1.7x cheaper
Prompt Cache Write / 1M
$0.12
$0.20
Gemma 4 31B IT is 1.7x cheaper
Context Window (Max Output)
131k (16k out)
1,049k (33k out)
Llama 4 Maverick (8.0x larger context)
Avg TTFT Response Latency
115ms
135ms
Gemma 4 31B IT (20ms faster)
Generation Speed (Throughput)
155 tok/s
175 tok/s
Llama 4 Maverick (+20 tok/s faster)
SWE-bench Verified (Coding)
59.2%
62.4%
Llama 4 Maverick (+3.2% lead)
GPQA Diamond (PhD STEM)
71.2%
73.8%
Llama 4 Maverick (+2.6% lead)
MMLU-Pro (Multi-Discipline)
82.8%
84.5%
Llama 4 Maverick (+1.7% lead)
MATH-500 (Quantitative Logic)
91.5%
91%
Gemma 4 31B IT (+0.5% lead)
Inference Value Score (IVR)
80.3 / 100
77 / 100
Gemma 4 31B IT (+3.3 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Which is cheaper: Gemma 4 31B IT or Llama 4 Maverick?
Gemma 4 31B IT is cheaper at $0.12/1M input tokens ($0.36/1M output) compared to $0.20/1M input ($0.60/1M output) for Llama 4 Maverick.
Which model has lower TTFT latency and higher tok/s throughput: Gemma 4 31B IT or Llama 4 Maverick?
Gemma 4 31B IT delivers faster first-token latency at 115ms TTFT (155 tok/s throughput) compared to 135ms TTFT (175 tok/s) for Llama 4 Maverick.
How do Gemma 4 31B IT and Llama 4 Maverick compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemma 4 31B IT scores 59.2% versus 62.4% for Llama 4 Maverick. On GPQA Diamond graduate-level STEM reasoning, Gemma 4 31B IT scores 71.2% versus 73.8% for Llama 4 Maverick (and 91.5% vs 91% 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 Llama 4 Maverick?
Choose Llama 4 Maverick (Meta) for high-throughput open-weight multimodal assistants, enterprise RAG, and low-cost cloud inference on Groq and Cerebras — offering a 1,048k context window, 135ms TTFT, and $0.20/1M input pricing ($0.050/1M cached reads).
