DeepSeek
DeepSeek V4 Pro
Open MoE flagship with million-token context for coding and long agent runs
- Context
- 1M
- Max output
- 384K
- Input / 1M
- $0.43
- Output / 1M
- $0.87
- Output speed
- —
Accepts
- Text input
Produces
- Text output
AI model comparison
Compare recorded price, context, output limits, speed, latency, capabilities, and input/output support. Every missing value stays visible, and unsourced benchmarks are excluded.
DeepSeek V4 Pro and Gemini 1.5 Pro both come up when teams are choosing a model for production work, and the honest answer usually depends on your workload rather than a leaderboard. This page puts their published specifications side by side — context window, token pricing, supported inputs and outputs — so you can see where they actually differ.
DeepSeek
Open MoE flagship with million-token context for coding and long agent runs
Accepts
Produces
Google's long-context multimodal model with up to 2M token windows.
Accepts
Produces
At a glance
This is a directional summary of the values recorded in this directory—not a universal quality verdict. Test the finalists on your own prompts before committing.
Where DeepSeek V4 Pro leads in recorded data
Where Gemini 1.5 Pro leads in recorded data
Context capacity
Higher listed limit
DeepSeek V4 Pro:1M
Gemini 1.5 Pro:2M
Gemini 1.5 Pro
Maximum output
Higher listed limit
DeepSeek V4 Pro:384K
Gemini 1.5 Pro:8.2K
DeepSeek V4 Pro
Input price
Lower recorded price
DeepSeek V4 Pro:$0.43
Gemini 1.5 Pro:$1.25
DeepSeek V4 Pro
Output price
Lower recorded price
DeepSeek V4 Pro:$0.87
Gemini 1.5 Pro:$5.00
DeepSeek V4 Pro
Output speed
Higher recorded throughput
DeepSeek V4 Pro:—
Gemini 1.5 Pro:65 t/s
No complete comparison
Time to first token
Lower recorded latency
DeepSeek V4 Pro:—
Gemini 1.5 Pro:0.90s
No complete comparison
Intelligence Index
Higher directory index
DeepSeek V4 Pro:—
Gemini 1.5 Pro:75.8
No complete comparison
Evidence
A score appears only when both records include a verified source. It is not treated as a universal ranking.
Specifications
| Specification | DeepSeek V4 Pro | Gemini 1.5 Pro |
|---|---|---|
| Provider | DeepSeek | |
| Model family | deepseek-thinking | Gemini 1.5 |
| Accepted inputs | text | text, image, audio, video |
| Produced outputs | text | text |
| Context window | 1M | 2MRecorded lead |
| Max output | 384KRecorded lead | 8.2K |
| Intelligence Index | — | 75.8 |
| Input price / 1M | $0.43Recorded lead | $1.25 |
| Output price / 1M | $0.87Recorded lead | $5.00 |
| Output speed | — | 65 t/s |
| Time to first token | — | 0.90s |
| Reasoning mode | Documented | Not documented |
| Tool calling | Documented | Documented |
| Image input | Not documented | Documented |
| Audio input | Not documented | Documented |
| Structured output | Documented | Documented |
| License | Open weights | Proprietary |
| Released | Apr 24, 2026 | May 14, 2024 |
Workload guidance
On the published numbers, Gemini 1.5 Pro accepts the larger context window and DeepSeek V4 Pro is cheaper per input token. Which matters more depends on whether your bottleneck is document size or spend — the table above has the exact figures.
Provenance
Prices and hosted performance can change. SyncDev records source references and clearly separates documented specifications from measured values; confirm commercial terms with the provider before deployment.
DeepSeek V4 Pro
DeepSeek · model record and recorded source
Gemini 1.5 Pro
Google · model record and recorded source
Choose any two approved model records and review them with the same evidence rules.