💰 Unit Cost Winner Gemini 2.0 Flash $0.10/1M in · $0.40/1M out
⚡ Latency & Speed Winner Gemma 4 31B IT 115ms TTFT · 155 tok/s
💻 Coding (SWE) Winner Gemma 4 31B IT 59.2% SWE-bench · 91.8% HumanEval
🧠 STEM Reasoning Winner Gemma 4 31B IT 71.2% GPQA · 91.5% MATH-500

Which model is better: Gemini 2.0 Flash or Gemma 4 31B IT?

Gemini 2.0 Flash is 16.7% cheaper for input tokens ($0.10 vs. $0.12 per 1M tokens) and $0.40 vs. $0.36 for output tokens (1.2x cost advantage). In terms of operational performance, Gemma 4 31B IT delivers lower response latency at 115ms TTFT (165ms faster than Gemini 2.0 Flash) with 155 vs. 185 tok/s throughput. Gemma 4 31B IT leads coding evaluations at 59.2% SWE-bench Verified vs. 51.8% for Gemini 2.0 Flash and 71.2% vs. 63.6% 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 Gemini 2.0 Flash Gemma 4 31B IT Net Delta / Advantage
Input Cost / 1M Tokens $0.10 $0.12 Gemini 2.0 Flash is 1.2x cheaper
Output Cost / 1M Tokens $0.40 $0.36 Gemma 4 31B IT (10.0% lower)
Prompt Cache Read / 1M $0.025 $0.030 Gemini 2.0 Flash is 1.2x cheaper
Prompt Cache Write / 1M $0.10 $0.12 Gemini 2.0 Flash is 1.2x cheaper
Context Window (Max Output) 1,073k (8k out) 131k (16k out) Gemini 2.0 Flash (8.2x larger context)
Avg TTFT Response Latency 280ms 115ms Gemma 4 31B IT (165ms faster)
Generation Speed (Throughput) 185 tok/s 155 tok/s Gemini 2.0 Flash (+30 tok/s faster)
SWE-bench Verified (Coding) 51.8% 59.2% Gemma 4 31B IT (+7.4% lead)
GPQA Diamond (PhD STEM) 63.6% 71.2% Gemma 4 31B IT (+7.6% lead)
MMLU-Pro (Multi-Discipline) 78.2% 82.8% Gemma 4 31B IT (+4.6% lead)
MATH-500 (Quantitative Logic) 91.1% 91.5% Gemma 4 31B IT (+0.4% lead)
Inference Value Score (IVR) 77.7 / 100 80.3 / 100 Gemma 4 31B IT (+2.6 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

Gemini 2.0 Flash $3.56

$0.10/1M in · $0.40/1M out

Prompt Cache: $0.025/1M read · $0.10/1M 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
$0.11 / mo
(3.1% lower cost with Gemini 2.0 Flash)
Open Full Matchup Analysis →
A

When to Choose Gemini 2.0 Flash

Choose Gemini 2.0 Flash (Google DeepMind) for legacy high-throughput multimodal pipelines migrating to Gemini 3.8 Flash — offering a 1,073k context window, 280ms TTFT, and $0.10/1M input pricing ($0.025/1M 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: Gemini 2.0 Flash or Gemma 4 31B IT?

Gemini 2.0 Flash is cheaper at $0.10/1M input tokens ($0.40/1M output) compared to $0.12/1M input ($0.36/1M output) for Gemma 4 31B IT.

Which model has lower TTFT latency and higher tok/s throughput: Gemini 2.0 Flash or Gemma 4 31B IT?

Gemma 4 31B IT delivers faster first-token latency at 115ms TTFT (155 tok/s throughput) compared to 280ms TTFT (185 tok/s) for Gemini 2.0 Flash.

How do Gemini 2.0 Flash and Gemma 4 31B IT compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, Gemini 2.0 Flash scores 51.8% versus 59.2% for Gemma 4 31B IT. On GPQA Diamond graduate-level STEM reasoning, Gemini 2.0 Flash scores 63.6% versus 71.2% for Gemma 4 31B IT (and 91.1% vs 91.5% on MATH-500).

When should you choose Gemini 2.0 Flash?

Choose Gemini 2.0 Flash (Google DeepMind) for legacy high-throughput multimodal pipelines migrating to Gemini 3.8 Flash — offering a 1,073k context window, 280ms TTFT, and $0.10/1M input pricing ($0.025/1M 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