💰 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 GPT-6 Astra 75.7% SWE-bench · 96.8% HumanEval
🧠 STEM Reasoning Winner GPT-6 Astra 96% GPQA · 98% MATH-500

Which model is better: Gemma 4 31B IT or GPT-6 Astra?

Gemma 4 31B IT is 98.8% cheaper for input tokens ($0.12 vs. $10.00 per 1M tokens) and $0.36 vs. $50.00 for output tokens (83.3x cost advantage). In terms of operational performance, Gemma 4 31B IT delivers lower response latency at 115ms TTFT (625ms faster than GPT-6 Astra) with 155 vs. 74 tok/s throughput. GPT-6 Astra leads coding evaluations at 75.7% SWE-bench Verified vs. 59.2% for Gemma 4 31B IT and 96.0% 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 GPT-6 Astra Net Delta / Advantage
Input Cost / 1M Tokens $0.12 $10.00 Gemma 4 31B IT is 83.3x cheaper
Output Cost / 1M Tokens $0.36 $50.00 Gemma 4 31B IT (99.3% lower)
Prompt Cache Read / 1M $0.030 $1.000 Gemma 4 31B IT is 33.3x cheaper
Prompt Cache Write / 1M $0.12 $12.50 Gemma 4 31B IT is 104.2x cheaper
Context Window (Max Output) 131k (16k out) 1,075k (128k out) GPT-6 Astra (8.2x larger context)
Avg TTFT Response Latency 115ms 740ms Gemma 4 31B IT (625ms faster)
Generation Speed (Throughput) 155 tok/s 74 tok/s Gemma 4 31B IT (+81 tok/s faster)
SWE-bench Verified (Coding) 59.2% 75.7% GPT-6 Astra (+16.5% lead)
GPQA Diamond (PhD STEM) 71.2% 96% GPT-6 Astra (+24.8% lead)
MMLU-Pro (Multi-Discipline) 82.8% 91.2% GPT-6 Astra (+8.4% lead)
MATH-500 (Quantitative Logic) 91.5% 98% GPT-6 Astra (+6.5% lead)
Inference Value Score (IVR) 80.3 / 100 47.6 / 100 Gemma 4 31B IT (+32.7 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

GPT-6 Astra $387.50

$10.00/1M in · $50.00/1M out

Prompt Cache: $1.000/1M read · $12.50/1M write

Projected Monthly Cost Reduction
$383.83 / mo
(99.1% 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 GPT-6 Astra

Choose GPT-6 Astra (OpenAI) for high-autonomy flagship reasoning model engineered for end-to-end computer and browser use, advanced scientific research, and complex multi-turn software engineering — offering a 1,075k context window, 740ms TTFT, and $10.00/1M input pricing ($1.000/1M cached reads).

Related Questions & Decision Factors

Which is cheaper: Gemma 4 31B IT or GPT-6 Astra?

Gemma 4 31B IT is cheaper at $0.12/1M input tokens ($0.36/1M output) compared to $10.00/1M input ($50.00/1M output) for GPT-6 Astra.

Which model has lower TTFT latency and higher tok/s throughput: Gemma 4 31B IT or GPT-6 Astra?

Gemma 4 31B IT delivers faster first-token latency at 115ms TTFT (155 tok/s throughput) compared to 740ms TTFT (74 tok/s) for GPT-6 Astra.

How do Gemma 4 31B IT and GPT-6 Astra compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, Gemma 4 31B IT scores 59.2% versus 75.7% for GPT-6 Astra. On GPQA Diamond graduate-level STEM reasoning, Gemma 4 31B IT scores 71.2% versus 96% for GPT-6 Astra (and 91.5% vs 98% 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 Astra?

Choose GPT-6 Astra (OpenAI) for high-autonomy flagship reasoning model engineered for end-to-end computer and browser use, advanced scientific research, and complex multi-turn software engineering — offering a 1,075k context window, 740ms TTFT, and $10.00/1M input pricing ($1.000/1M cached reads).

Explore High-Priority Related Model Matchups