workhorse

Gemini 2.5 Pro vs Deepseek Chat

Side-by-side pricing, context window, features, and per-use-case verdict. Data sourced from LiteLLM, updated regularly.

Specifications

Feature Gemini 2.5 Pro Deepseek Chat
Provider vertex ai-language-models deepseek
Model ID gemini-2.5-pro deepseek/deepseek-chat
Input / 1M tokens $1.25 $0.28 (78% cheaper)
Output / 1M tokens $10.00 $0.42 (96% cheaper)
Cached input / 1M $0.13 $0.03
Context window 1049kk tokens 131kk tokens
Max output 66kk tokens 8kk tokens
Vision
Function calling
Prompt caching
Web search
JSON schema

Monthly cost comparison

No cache discount applied — pure token costs at three usage scales.

Scale Gemini 2.5 Pro Deepseek Chat Winner
Small
1M in / 0.2M out
$3.25 $0.36 Deepseek Chat saves 89%
Medium
10M in / 2M out
$32.50 $3.64 Deepseek Chat saves 89%
Large
100M in / 20M out
$325 $36.40 Deepseek Chat saves 89%

Category winners

Cheapest input
Deepseek Chat
$0.28/M · 78% less than the other
Cheapest output
Deepseek Chat
$0.42/M · 96% less than the other
Larger context
Gemini 2.5 Pro
1049kk tokens · 700% larger window
More features
Gemini 2.5 Pro
5 / 5 capabilities

Better for…

High-volume RAG & repeated context
$0.03/M cached input — prompt caching makes repeated context retrieval significantly cheaper
Deepseek Chat
Short interactions & high-throughput APIs
$0.42/M output — 96% cheaper on output at scale
Deepseek Chat
Long-document processing & large codebases
1049k context window vs 131k — 700% larger context
Gemini 2.5 Pro
Agentic workflows & tool use
Supports 5 of 5 tracked capabilities (vision, function calling, caching, web search, JSON schema)
Gemini 2.5 Pro

Deep-dive on each model

Pricing data sourced from LiteLLM and refreshed regularly. Always verify with each provider's official pricing page before making business decisions.