Fast, low-cost multimodal workhorse. Built by Google.
Prices updated
Input price
$0.30
per 1M tokens · Standard
Output price
$2.50
per 1M tokens · Standard
Input limit
1M
tokens
Output limit
66K
tokens
Input formats
Output formats
Gemini 2.5 Flash price history
12 price records since 4/1/2026 · 10 changes
Gemini 2.5 Flash cost calculator
Overview
What is Gemini 2.5 Flash?
Gemini 2.5 Flash is a text & reasoning and vision model from Google. Fast, low-cost multimodal workhorse. Its 1M context window and $0.30 input price make it a candidate for cost-sensitive, high-throughput applications.
Benchmarks
Gemini 2.5 Flash benchmarks & speed
How Gemini 2.5 Flash scores on standardized evaluations, and where it lands among every model we track.
9.9
Intelligence Index
190tok/s
Output speed
1063
DesignArena Elo
Reasoning
GPQA Diamond
68.3%
Graduate-level scientific reasoning · top 72%
HLE
4.7%
Humanity's Last Exam · top 83%
Latency & design
- Time to first token
- 0.46s
- DesignArena win rate
- 45.4%
- Design battles judged
- 6,971
Independent scores from Artificial Analysis and DesignArena · updated 10/8/2026. Higher is better; ranks compare against every model we track with that score.
Rates
Gemini 2.5 Flash pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.30
Per 1M tokens
Cached input · Standard
$0.03
Per 1M tokens
Capabilities
Gemini 2.5 Flash Tools
Tools available when using Gemini 2.5 Flash through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Not supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Supported
Where to run it
Gemini 2.5 Flash API providers
7 providers serve Gemini 2.5 Flash. Prices are per 1M tokens; uptime is the last 24 hours.
| Provider | Input | Output | Cached | Context | Uptime |
|---|---|---|---|---|---|
| $0.30 | $2.50 | $0.03 | 1M | 95.58% | |
| $0.30 | $2.50 | $0.03 | 1M | 99.16% | |
| $0.54 | $4.50 | $0.05 | 1M | 99.9% | |
| Google AI Studio | $0.15 | $1.25 | $0.01 | 1M | 99.95% |
| Google AI Studio | $0.30 | $2.50 | $0.03 | 1M | 99.84% |
| $0.30 | $2.50 | $0.03 | 1M | 90.7% | |
| Google AI Studio | $0.54 | $4.50 | $0.05 | 1M | — |
- Input
- $0.30
- Output
- $2.50
- Cached
- $0.03
- Context
- 1M
- Uptime
- 95.58%
- Input
- $0.30
- Output
- $2.50
- Cached
- $0.03
- Context
- 1M
- Uptime
- 99.16%
- Input
- $0.54
- Output
- $4.50
- Cached
- $0.05
- Context
- 1M
- Uptime
- 99.9%
- Input
- $0.15
- Output
- $1.25
- Cached
- $0.01
- Context
- 1M
- Uptime
- 99.95%
- Input
- $0.30
- Output
- $2.50
- Cached
- $0.03
- Context
- 1M
- Uptime
- 99.84%
- Input
- $0.30
- Output
- $2.50
- Cached
- $0.03
- Context
- 1M
- Uptime
- 90.7%
- Input
- $0.54
- Output
- $4.50
- Cached
- $0.05
- Context
- 1M
- Uptime
- —
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Strengths and limitations
Strengths
- Low input cost at $0.30 per million tokens suits high-volume workloads.
- 1M context supports large documents, repositories and extended conversations.
- Supports text & reasoning and vision workloads in one model.
Limitations
- Generated tokens cost 8× more than input tokens, which matters for verbose responses.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider
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Peer set
