Budget
US$0.30
Gemini 2.5 Flash
Google DeepMind
At a glance
Gemini 2.0 Flash from Google DeepMind is a budget model priced at US$0.10 per 1M input tokens and US$0.40 per 1M output tokens. For a typical solo-developer workload (8 hours/day, 22 days/month — 1 medium feature, 5 small bug fixes, 4 PR reviews, 2 stack-trace debugs, ~1500 lines of TypeScript, 1 large-doc read, with prompt caching at the default mix) Gemini 2.0 Flash costs about US$2/month. The 1,000K-token context window covers most monorepo scans without truncation.
What does your monthly budget buy?
Move the slider or switch task mix — values update live.
Monthly budget
US$100 / month
≈ $23/wk · ≈ $4.55/day
on Gemini 2.0 Flash
Input tokens
1360.0M
Output tokens
37.5M
Total tokens
1397.5M
Per month this budget delivers
- Medium feature (10–15 files)3,118
- PR review37,383
- Lines of TypeScript9,049,773
- Small bug fix42,462
- Work email800,000
- Unit test file30,165
How does this model compare on price?
Input vs output per 1M tokens
Hover a row to compare input vs output rates.
- Gemini 2.0 FlashUS$0.10US$0.40
- Budget median (other budget models)US$0.30US$1.50
Input per 1MOutput per 1M
Cost per task
At the default coding-agent mix with 50% cache hits.
USD per single task
Hover a bar to see per-task cost detail.
- Lines of TypeScriptUS$0.0000
- Small bug fixUS$0.0024
- PR reviewUS$0.0027
- Read a large docUS$0.0037
- Debug from stack traceUS$0.0048
- Refactor a module (8–12 files)US$0.0228
- Medium feature (10–15 files)US$0.0321
- Onboard to a new repoUS$0.0399
Typical developer day
The 22-day month is based on the median working-day count across DE/US.
| Activity | Count | Per task | Daily | Monthly |
|---|---|---|---|---|
| Medium feature (10–15 files) | 1 | US$0.03 | US$0.03 | US$0.71 |
| Small bug fix | 5 | US$0.00 | US$0.01 | US$0.26 |
| PR review | 4 | US$0.00 | US$0.01 | US$0.24 |
| Debug from stack trace | 2 | US$0.00 | US$0.01 | US$0.21 |
| Read a large doc | 1 | US$0.00 | US$0.00 | US$0.08 |
| Micro-interaction (explain / lint fix) | 30 | US$0.00 | US$0.00 | US$0.09 |
| Lines of TypeScript | 1,500 | US$0.00 | US$0.02 | US$0.36 |
| Total | US$0.09 | US$1.95 | ||
The 1500-lines-of-TS row models ~1000 lines read (cache-hit) + ~500 lines written. Headline figures are precise to ~5% — see the FAQ.
Monthly cost matrix
What each monthly budget buys on this model (typical solo-developer day, 22 working days).
| Monthly budget | Medium features | PR reviews | Debug sessions | Lines of TS |
|---|---|---|---|---|
| Typical (≈ $2) | 60 | 730 | 403 | 176,791 |
| $50/month | 1,559 | 18,691 | 10,325 | 4,524,886 |
| $200/month | 6,237 | 74,766 | 41,300 | 18,099,547 |
| $500/month | 15,594 | 186,915 | 103,252 | 45,248,868 |
| $2000/month | 62,378 | 747,663 | 413,009 | 180,995,475 |
Typical mix: coding-agent (85% input, 50% cache hits). Values show the maximum count of each task type at that budget.
What this model can do
Coding
Trained or post-trained for code generation tasks.
Reasoning
Not supported
Multimodal
Accepts images alongside text.
Prompt cache
Cache reads billed at ~10% of input price — cuts agent costs sharply.
Batch API
50% off when you accept up to 24-hour turnaround.
Tool use
Native function-calling / tool-use API support.
Long context
≥ 200K-token context window.
Extended thinking
Not supported
When does this model fit?
Best for
- Front-line filter / classifier in agent pipelines
- Bulk preprocessing of code (license scan, AST extraction)
- Cost-floor scenarios
Watch out for
- Coding quality is the lowest of the catalog — escalate before committing real changes
- Output token charges grow fast with verbose generations
Google DeepMind in the catalog
Total models
4
Median input/1M
US$0.78
Median output/1M
US$6.25
Input range
US$0.10–US$2.00
Related models
Sources
- Google AI Pricing ↗
Verified: 2026-05-07
Frequently asked questions about Gemini 2.0 Flash
What does a typical month on Gemini 2.0 Flash cost?
Running the realistic solo-developer day (1 medium feature + 5 small bug fixes + 4 PR reviews + 2 debug sessions + ~1500 lines of TypeScript + 1 large-doc read, 22 working days) on Gemini 2.0 Flash costs about US$2/month. Heavier workloads scale proportionally; lighter workloads cost less.
How big is Gemini 2.0 Flash's context window?
1,000K tokens total, with up to 8K of output. That fits whole repository snapshots, tests included in a single call.
Why is Gemini 2.0 Flash output priced so much higher than input?
Providers charge US$0.40 per 1M output tokens against US$0.10 per 1M input — output requires real compute, input comes mostly from cache. Coding agents read many files (input-heavy) and emit compact diffs (low output), so total spend is usually input-driven.
How much does prompt caching save on Gemini 2.0 Flash?
Cache reads typically cost only 10% of the regular input rate. On a coding-agent mix with 50% cache hits, that saves roughly 45% on input — which is about 38% off your total bill on input-heavy workloads. Anthropic models charge a one-time cache-write surcharge (25% over input) that pays for itself after 2–3 hits.
Is Gemini 2.0 Flash's batch API worth using?
Yes, if you can tolerate up to 24-hour turnaround: batch input/output are 50% cheaper than real-time rates. Perfect for nightly code reviews, bulk refactors or pre-merge analysis — wrong for inner-loop editing where you need an answer in seconds.
Try Gemini 2.0 Flash pricing live
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