💻 Coding (SWE) WinnerGPT-6.1 Sol 86.4% SWE-bench · 96.8% HumanEval
🧠 STEM Reasoning WinnerGPT-6.1 Sol 92.4% GPQA · 98.8% MATH-500
Which model is better: Gemma 4 31B IT or GPT-6.1 Sol?
Gemma 4 31B IT is 94.0% cheaper for input tokens ($0.12 vs. $2.00 per 1M tokens) and $0.36 vs. $10.00 for output tokens (16.7x cost advantage). In terms of operational performance, Gemma 4 31B IT delivers lower response latency at 115ms TTFT (405ms faster than GPT-6.1 Sol) with 155 vs. 135 tok/s throughput. GPT-6.1 Sol leads coding evaluations at 86.4% SWE-bench Verified vs. 59.2% for Gemma 4 31B IT and 92.4% 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
GPT-6.1 Sol
Net Delta / Advantage
Input Cost / 1M Tokens
$0.12
$2.00
Gemma 4 31B IT is 16.7x cheaper
Output Cost / 1M Tokens
$0.36
$10.00
Gemma 4 31B IT (96.4% lower)
Prompt Cache Read / 1M
$0.030
$0.100
Gemma 4 31B IT is 3.3x cheaper
Prompt Cache Write / 1M
$0.12
$2.00
Gemma 4 31B IT is 16.7x cheaper
Context Window (Max Output)
131k (16k out)
1,075k (128k out)
GPT-6.1 Sol (8.2x larger context)
Avg TTFT Response Latency
115ms
520ms
Gemma 4 31B IT (405ms faster)
Generation Speed (Throughput)
155 tok/s
135 tok/s
Gemma 4 31B IT (+20 tok/s faster)
SWE-bench Verified (Coding)
59.2%
86.4%
GPT-6.1 Sol (+27.2% lead)
GPQA Diamond (PhD STEM)
71.2%
92.4%
GPT-6.1 Sol (+21.2% lead)
MMLU-Pro (Multi-Discipline)
82.8%
91%
GPT-6.1 Sol (+8.2% lead)
MATH-500 (Quantitative Logic)
91.5%
98.8%
GPT-6.1 Sol (+7.3% lead)
Inference Value Score (IVR)
80.3 / 100
62.9 / 100
Gemma 4 31B IT (+17.4 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose GPT-6.1 Sol (OpenAI) for delivers near-GPT-6 Astra frontier accuracy at one-fifth the token cost with a 95% cache read discount for high-efficiency agentic coding, computer use, and enterprise workflow automation — offering a 1,075k context window, 520ms TTFT, and $2.00/1M input pricing ($0.100/1M cached reads).
Gemma 4 31B IT is cheaper at $0.12/1M input tokens ($0.36/1M output) compared to $2.00/1M input ($10.00/1M output) for GPT-6.1 Sol.
Which model has lower TTFT latency and higher tok/s throughput: Gemma 4 31B IT or GPT-6.1 Sol?
Gemma 4 31B IT delivers faster first-token latency at 115ms TTFT (155 tok/s throughput) compared to 520ms TTFT (135 tok/s) for GPT-6.1 Sol.
How do Gemma 4 31B IT and GPT-6.1 Sol compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemma 4 31B IT scores 59.2% versus 86.4% for GPT-6.1 Sol. On GPQA Diamond graduate-level STEM reasoning, Gemma 4 31B IT scores 71.2% versus 92.4% for GPT-6.1 Sol (and 91.5% vs 98.8% 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 GPT-6.1 Sol?
Choose GPT-6.1 Sol (OpenAI) for delivers near-GPT-6 Astra frontier accuracy at one-fifth the token cost with a 95% cache read discount for high-efficiency agentic coding, computer use, and enterprise workflow automation — offering a 1,075k context window, 520ms TTFT, and $2.00/1M input pricing ($0.100/1M cached reads).
