Gemini 2.5 Flash
Language Available Full comparison ↗ google-deepmind/gemini-2.5-flash · by Google DeepMind
· decoder-only-transformer
Pricing — 1 offering(s)
About this offering: Google's Gemini 2.5 Flash at $0.30 input and $2.50 output per 1M tokens for text, image and video; audio input costs $1.00 per 1M. Google hasn't announced a shutdown date (Gemini API deprecations page, checked 2026-10-11), but Gemini 3.5 Flash is now its current Flash-tier model.
Input tokens
- $0.30 / 1M tokens (input) Current 2026-06-12 → present
Cached input tokens
- $0.03 / 1M tokens (cached input)
Current
2026-06-12 → present
Text, image and video; cached audio is $0.10/1M. Storage is billed separately at $1.00/1M tokens per hour.
Output tokens
- $2.50 / 1M tokens (output) Current 2026-06-12 → present
Showing the active price and any recorded history. Full pricing history is available via the paid API — see API docs.
See how Gemini 2.5 Flash fits into a cost-aware routing setup
See how →Capability profile
How Gemini 2.5 Flash rates across core capability dimensions, with the task-level evidence behind each rating.
SWE-bench Verified (500 human-verified GitHub issues; patch must pass the repo's own tests; no file-location hints): resolves 54% — fails roughly 1 issue in 2. Vendor-reported (Google, gemini-2.5-flash-preview-09-2025).
1M-token context.
Coding benchmarks
View the full coding benchmark leaderboard →| Benchmark | Score | Harness | Source |
|---|---|---|---|
| swe-bench-verified ↗ | 54.0% 2025-09 | agentless | 🏢 vendor ↗ |
| aider-polyglot ↗ | 55.1% 2025-05 | aider | 📊 leaderboard ↗ |
Operator guidance
The cost/latency option in the Gemini 2.5 line with a 1M-token window. Step up to Gemini 2.5 Pro for the hardest reasoning/coding.
Use cases
- High-throughput, low-cost tasks needing a large context window
- Multimodal input at scale where latency/cost matter
Limitations
- Lower reasoning/coding ceiling than Gemini 2.5 Pro
- Audio input billed higher than text/image/video input
- Capability ratings are qualitative, not a single cited benchmark run