Side by side
DeepSeek V4.1 Flash (batch) vs Gemini 2.5 Flash Lite
Source: OpenRouter (live)
Live figures
The numbers
Best value in each row is highlighted. “Not declared” means the provider does not advertise the feature on its listing.
| Attribute | ||
|---|---|---|
| Input priceUSD per 1M tokens | $0.11 | $0.10 (best) |
| Output priceUSD per 1M tokens | $0.34 (best) | $0.40 |
| Blended price75% in / 25% out | $0.17 (best) | $0.17 |
| Vs. market median | 80% cheaper | 79% cheaper |
| Value rankcheapest = 1 | #75 (best) | #79 |
| Context windowtokens | 1.0M | 1.0M |
| Max outputtokens | 131K (best) | 66K |
| Input modalities | text, image | text, image, file, audio, video |
| Output modalities | text | text |
| Tool calling | Declared | Declared |
| Reasoning | Declared | Declared |
| Structured output | Declared | Declared |
| Listed on OpenRouter | 2026-09-10 (best) | 2025-07-22 |
Blended price assumes a 3:1 input-to-output token mix. Median is across all 431 priced models.
Add or swap modelsCost calculator
At your volume
Estimate the monthly bill for these models at your own token volumes.
| Model | Input | Output | Monthly | Yearly | vs cheapest | |
|---|---|---|---|---|---|---|
| DeepSeek: DeepSeek V4.1 Flash (batch) DeepSeek · $0.112 in / $0.336 out per M | $5.60 | $5.04 | $11 | $128 | Cheapest | |
| Google: Gemini 2.5 Flash Lite Google · $0.100 in / $0.400 out per M | $5.00 | $6.00 | $11 | $132 | +$0.360 (1.0×) |
Estimates use list prices per million tokens from live provider listings. Cached-input, batch and volume discounts are not included, so real bills are often lower.
Read-out
What the numbers say
- DeepSeek: DeepSeek V4.1 Flash (batch) is the cheapest here at $0.17/M blended; Google: Gemini 2.5 Flash Lite costs 4% more.
Models
Model pages
Full pricing history, capabilities and alternatives for each model in this comparison.
$0.168
/M blended
$0.175
/M blended
More comparisons
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- Gemini vs GPT-5: Google's flagship against OpenAI's
Gemini's very long context and multimodal input against GPT-5's ecosystem and pricing.
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