SmophyAI

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Real data comparison

DeepSeek: DeepSeek V4 Pro 0423 vs Google: Gemini 3.7 Flash (batch)

On quality, Google: Gemini 3.7 Flash (batch) leads (56 vs 53.2). On price, Google: Gemini 3.7 Flash (batch) is cheaper ($0.75 vs $1.98 per 1M). In real production usage, DeepSeek: DeepSeek V4 Pro 0423 is used more (rank #7 vs #12 of 312). Across 4 real task categories where both models have classified traffic, Google: Gemini 3.7 Flash (batch) handles more of the traffic in 3 of them.

  • DeepSeek: DeepSeek V4 Pro 0423
  • Google: Gemini 3.7 Flash (batch)
Quality (Intelligence Index)53.2 / 56
Price ($/1M blended)$1.98 / $0.75
Average usage share4.47% / 2.42%
Best provider uptime100.0% / 100.0%
Coding index68.8 / 76.1
Agentic index49.6 / 45.1
Context window1,048,576 / 1,048,576
Quality per dollar26.9 pts/$ / 74.7 pts/$

Head-to-head by real task

DeepSeek: DeepSeek V4 Pro 0423 leads 1 of 4 shared task categories by real classified traffic share; Google: Gemini 3.7 Flash (batch) leads 3. Not a benchmark score - this is what developers actually route to each model for, per OpenRouter's task classification.

TaskDeepSeek: DeepSeek V4 Pro 0423Google: Gemini 3.7 Flash (batch)
Shell Execution8.1%13.9%
Debugging2.3%5.4%
Workflow Execution2.5%4.7%
Math5.1%3.3%

Usage share over time

7.35%5.51%3.68%1.84%0.00%Share of usageJul 5Jul 31Aug 27
  • DeepSeek: DeepSeek V4 Pro 0423
  • Google: Gemini 3.7 Flash (batch)

Frequently asked questions

DeepSeek: DeepSeek V4 Pro 0423 vs Google: Gemini 3.7 Flash (batch): which is better quality?

Google: Gemini 3.7 Flash (batch) scores higher on Artificial Analysis's Intelligence Index (56 vs 53.2).

DeepSeek: DeepSeek V4 Pro 0423 vs Google: Gemini 3.7 Flash (batch): which is cheaper?

Google: Gemini 3.7 Flash (batch) is cheaper at $0.75/1M vs $1.98/1M.

DeepSeek: DeepSeek V4 Pro 0423 vs Google: Gemini 3.7 Flash (batch): which is used more?

DeepSeek: DeepSeek V4 Pro 0423 has higher real OpenRouter usage share (rank #7 vs #12 of 312).

DeepSeek: DeepSeek V4 Pro 0423 vs Google: Gemini 3.7 Flash (batch): which wins more real-world task categories?

Google: Gemini 3.7 Flash (batch) handles more traffic in 3 of 4 shared task categories where both models have classified OpenRouter usage.

Source: OpenRouter (openrouter.ai/rankings), as of August 28, 2026.

Benchmark scores: Artificial Analysis (artificialanalysis.ai) via OpenRouter (openrouter.ai/rankings).

Methodology: www.smophy.ai/benchmark/methodology

Token counts originate from each provider's own tokenizer and are not directly comparable across providers.