Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Gemini 3.7 Flash (high) | DeepSeek V4 Pro 0813 (Reasoning, Max Effort) |
|---|---|---|
| Input ($/M tokens) | $0.75 | $1.32 |
| Output ($/M tokens) | $3.75 | $3.96 |
Verdict. Gemini 3.7 Flash (high) wins the overall benchmark matchup 2–0 across 2 overlapping categories, but raw benchmark score is only one input to the decision.
Pricing. Both models sit in the budget bracket for output-token pricing. At 0.9× the per-million-token cost, Gemini 3.7 Flash (high) is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Gemini 3.7 Flash (high) makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. Gemini 3.7 Flash (high) is strongest on Coding Index (76.1), Intelligence Index (56.0). DeepSeek V4 Pro 0813 (Reasoning, Max Effort) leads on Coding Index (68.8), Intelligence Index (53.2).
Speed. On throughput, Gemini 3.7 Flash (high) generates tokens at 340 tok/s versus 87 tok/s — about 74% faster. On time-to-first-token, DeepSeek V4 Pro 0813 (Reasoning, Max Effort) responds in 1840ms vs 9830ms, which matters most for chat-style UIs.
Provider. Google and DeepSeek sell to overlapping but distinct developer audiences: Google tends to ship frontier reasoning models with premium positioning, while DeepSeek often prices more aggressively. Your existing vendor relationships, billing, and SLA preferences may matter as much as the raw numbers above.
Workload cost. Workload scenarios (per million requests at 30M input + 15M output tokens): Gemini 3.7 Flash (high) costs $78.75 ($945/year); DeepSeek V4 Pro 0813 (Reasoning, Max Effort) costs $99.00 ($1188/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Gemini 3.7 Flash (high) ≈ $11.25/run, DeepSeek V4 Pro 0813 (Reasoning, Max Effort) ≈ $14.52/run. At agent/realtime scale (200M input / 100M output per million requests): Gemini 3.7 Flash (high) ≈ $525/run, DeepSeek V4 Pro 0813 (Reasoning, Max Effort) ≈ $660/run. Gemini 3.7 Flash (high) becomes more attractive at higher volume — the absolute per-token pricing difference compounds when you ship at scale.
Recommendation. Both models have legitimate use cases — the right answer depends on whether you are optimizing for benchmark ceiling, latency, or unit cost. Start with the cheaper / faster model, evaluate against your specific task, and only switch if the upgrade shows a meaningful lift.
Head-to-head deltas
Data from Artificial Analysis API — 12 benchmarks
Gemini 3.7 Flash (high) is cheaper overall. Its blended price (3:1 input/output ratio) is $1.50/M tokens vs $1.98/M for DeepSeek V4 Pro 0813 (Reasoning, Max Effort).
Gemini 3.7 Flash (high) wins 2 out of 12 benchmarks compared to 0 for DeepSeek V4 Pro 0813 (Reasoning, Max Effort). See the detailed benchmark chart above for per-category results.
Gemini 3.7 Flash (high) generates tokens faster at 340 tok/s vs 87 tok/s. However, DeepSeek V4 Pro 0813 (Reasoning, Max Effort) has lower time-to-first-token (1.84s vs 9.83s).
Choose based on your priorities: Gemini 3.7 Flash (high) for lower cost, Gemini 3.7 Flash (high) for stronger benchmark performance, and Gemini 3.7 Flash (high) for faster generation. For latency-sensitive apps, check the TTFT comparison above.