LLM Comparison
DeepSeek V4 Pro vs Gemini 3.7 Flash
Side-by-side specs, pricing & capabilities · Updated August 2026
Price vs Intelligence
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 45 69.6 | 63 28.0 |
| Family | DeepSeek V4 | Gemini |
| Status | Current | Current |
| Release Date | Aug 2026 | Aug 2026 |
| Context Window | 1.0M tokens | 1.0M tokens |
| Input Price | $0.43/M tokens | $0.75/M tokens |
| Output Price | $0.87/M tokens | $3.75/M tokens |
| Pricing Notes | DeepSeek API pricing currently lists $0.003625 cache-hit input, $0.435 cache-miss input, and $0.87 output per 1M tokens for deepseek-v4-pro. DeepSeek announced peak/off-peak pricing effective August 16, 2026, with off-peak prices at half the peak rate. | Google introductory pricing is $0.75 input and $3.75 output per 1M tokens through December 31, 2026. Standard pricing becomes $1.50 input and $7.50 output per 1M tokens on January 1, 2027. |
| Capabilities | reasoningcodingtool-usestructured-outputlong-contextagenticresponses-api | reasoningcodingagentictool-usemultimodallong-contextimage-understandingaudio-understandingvideo-understanding |
| Training Cutoff | — | March 2026; some domains may be limited to January 2025 |
| Max Output | 393K tokens | 66K tokens |
| API Identifier | deepseek-v4-pro | gemini-3.7-flash |
| Benchmarks | ||
| Artificial Analysis Intelligence Index v4.1 | 44artificial-analysis | — |
| Artificial Analysis Intelligence Index v4.1.1 | 53artificial-analysis | 56artificial-analysis |
| View DeepSeek V4 Pro | View Gemini 3.7 Flash | |
Cost Calculator
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| DeepSeek V4 ProCheapest | $0.44 | $0.44 | $0.87 | — |
| Gemini 3.7 Flash | $0.75 | $1.88 | $2.63 | +202% |
DeepSeek
DeepSeek V4 Pro
DeepSeek V4 Pro 0813 is an open-weight Mixture-of-Experts reasoning model for long-context coding, tool use, and agentic workloads, with native Responses API support through the DeepSeek API.
Gemini 3.7 Flash
Gemini 3.7 Flash is Google's multimodal reasoning model for coding, agentic workflows, and complex knowledge work. It supports text, image, audio, and video input, customizable thinking, a 1M context window, 64K text output, and access through the Gemini API.
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