Doubao 1.5 Lite vs Gemini 1.5 Pro
| Doubao 1.5 Lite | Gemini 1.5 Pro | |
|---|---|---|
| Provider | ByteDance | |
| Context Window | 262,144 | 2,000,000 |
| Release Date | 2025-06-01 | 2024-02-15 |
| Input Price | $0.08/ 1M tokens | $1.25/ 1M tokens |
| Output Price | $0.30/ 1M tokens | $5.00/ 1M tokens |
| Best for | — | multimodal · long-context analysis · chatbot · document processing |
Capabilities
| Doubao 1.5 Lite | Gemini 1.5 Pro | |
|---|---|---|
| Vision | ✗ | ✓ |
| Reasoning | ✗ | ✓ |
| Coding | ✗ | ✓ |
| Audio | ✗ | ✓ |
| Tools | ✗ | ✓ |
| Long Context | ✗ | ✓ |
Ranking Comparison
| Doubao 1.5 Lite | Gemini 1.5 Pro | |
|---|---|---|
| Overall | 18 | 76.9 |
| Benchmark | 0 | 70.8 |
| Capability | 0 | 100 |
| Price Efficiency | 100 | 100 |
| Context | 100 | 100 |
Overall = Benchmark 50% + Capability 20% + Price Efficiency 20% + Context 10%.
Benchmark Comparison
| Doubao 1.5 Lite | Gemini 1.5 Pro | |
|---|---|---|
| Coding | — | — |
| Reasoning | — | — |
| Math | — | — |
| Vision | — | — |
Price History
Doubao 1.5 Lite
No price history yet.
/ 1M tokens
Gemini 1.5 Pro
| Date | Input | Output |
|---|---|---|
| 2026-08-11 | $1.25 | $5.00 |
/ 1M tokens
Doubao 1.5 Lite
Doubao 1.5 Lite model
Gemini 1.5 Pro
Google's long-context multimodal model supporting up to 2M tokens.
Doubao 1.5 Lite
Data Reliability
Benchmark · ExperimentalOfficial · Experimental
Data confidence: 50%
Gemini 1.5 Pro
Data Reliability
Benchmark · VerifiedOfficial · Verified
Data confidence: 90%
Why compare these models?
Choose Doubao 1.5 Lite if:
- • Lower input price
Choose Gemini 1.5 Pro if:
- • Higher overall score
Frequently Asked Questions
Which model is better: Doubao 1.5 Lite or Gemini 1.5 Pro?
Based on overall scores, Gemini 1.5 Pro ranks higher (76.9 vs 18). See the comparison table for a full breakdown.
Which model is cheaper: Doubao 1.5 Lite or Gemini 1.5 Pro?
Doubao 1.5 Lite is cheaper: $0.08 vs $1.25 per 1M input tokens.
What are the capability differences between Doubao 1.5 Lite and Gemini 1.5 Pro?
Gemini 1.5 Pro: Vision, Reasoning, Coding, Audio, Tools, Long Context