Compare DeepSeek: R1 (DeepSeek) and Google: Gemini 2.5 Pro (Google) by price, context, capabilities, and latency.
Cote a cote
Comparez le prix, le fournisseur, le contexte, les capacites, la latence et la base de source.
| Model | Provider | Input | Output | Context | Capabilities | Best for | Latency | Status | Source |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek: R1deepseek/deepseek-r1 | DeepSeek | $0.7 / 1M tokens | $2.50 / 1M tokens | 163.8k | JSON modeLong contextReasoningStreaming | Chinese reasoning, math | 1800-6000ms | Catalog | OpenRouter if available |
| Google: Gemini 2.5 Progoogle/gemini-2.5-pro | $1.25 / 1M tokens | $10 / 1M tokens | 1M | Tool callingVisionJSON modeLong context | long-context analysis, vision workflows | 1500-5000ms | Catalog | OpenRouter if available |
FAQ
DeepSeek: R1 is cheaper ($0.7 / 1M tokens input / $2.50 / 1M tokens output) vs Google: Gemini 2.5 Pro ($1.25 / 1M tokens input / $10 / 1M tokens output). Actual cost depends on your input/output token mix — estimate it with the pricing calculator.
Google: Gemini 2.5 Pro is larger (1M tokens) vs 163.8k tokens.
Both target High quality. Pick DeepSeek: R1 to optimize cost, or Google: Gemini 2.5 Pro for the longer context window. Test both on real prompts before committing production traffic.
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