Which model is better: Gemma 4 31B IT or Mistral Large 2 (2411)?
Gemma 4 31B IT is 94.0% cheaper for input tokens ($0.12 vs. $2.00 per 1M tokens) and $0.36 vs. $6.00 for output tokens (16.7x cost advantage). In terms of operational performance, Gemma 4 31B IT delivers lower response latency at 115ms TTFT (265ms faster than Mistral Large 2 (2411)) with 155 vs. 75 tok/s throughput. Gemma 4 31B IT leads coding evaluations at 59.2% SWE-bench Verified vs. 45.2% for Mistral Large 2 (2411) and 71.2% vs. 54.2% 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
Mistral Large 2 (2411)
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
$6.00
Gemma 4 31B IT (94.0% lower)
Prompt Cache Read / 1M
$0.030
$0.200
Gemma 4 31B IT is 6.7x cheaper
Prompt Cache Write / 1M
$0.12
$2.00
Gemma 4 31B IT is 16.7x cheaper
Context Window (Max Output)
131k (16k out)
131k (8k out)
Equal Context Window
Avg TTFT Response Latency
115ms
380ms
Gemma 4 31B IT (265ms faster)
Generation Speed (Throughput)
155 tok/s
75 tok/s
Gemma 4 31B IT (+80 tok/s faster)
SWE-bench Verified (Coding)
59.2%
45.2%
Gemma 4 31B IT (+14.0% lead)
GPQA Diamond (PhD STEM)
71.2%
54.2%
Gemma 4 31B IT (+17.0% lead)
MMLU-Pro (Multi-Discipline)
82.8%
74.8%
Gemma 4 31B IT (+8.0% lead)
MATH-500 (Quantitative Logic)
91.5%
76.5%
Gemma 4 31B IT (+15.0% lead)
Inference Value Score (IVR)
80.3 / 100
50.1 / 100
Gemma 4 31B IT (+30.2 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose Mistral Large 2 (2411) (Mistral AI) for sovereign enterprise multilingual flagship tuned for reasoning, strict JSON schemas, and European regulatory compliance — offering a 131k context window, 380ms TTFT, and $2.00/1M input pricing ($0.200/1M cached reads).
Which is cheaper: Gemma 4 31B IT or Mistral Large 2 (2411)?
Gemma 4 31B IT is cheaper at $0.12/1M input tokens ($0.36/1M output) compared to $2.00/1M input ($6.00/1M output) for Mistral Large 2 (2411).
Which model has lower TTFT latency and higher tok/s throughput: Gemma 4 31B IT or Mistral Large 2 (2411)?
Gemma 4 31B IT delivers faster first-token latency at 115ms TTFT (155 tok/s throughput) compared to 380ms TTFT (75 tok/s) for Mistral Large 2 (2411).
How do Gemma 4 31B IT and Mistral Large 2 (2411) compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemma 4 31B IT scores 59.2% versus 45.2% for Mistral Large 2 (2411). On GPQA Diamond graduate-level STEM reasoning, Gemma 4 31B IT scores 71.2% versus 54.2% for Mistral Large 2 (2411) (and 91.5% vs 76.5% 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 Mistral Large 2 (2411)?
Choose Mistral Large 2 (2411) (Mistral AI) for sovereign enterprise multilingual flagship tuned for reasoning, strict JSON schemas, and European regulatory compliance — offering a 131k context window, 380ms TTFT, and $2.00/1M input pricing ($0.200/1M cached reads).
