Gemini 3.6 Flash
antigravity-cli harness · Google AI Pro
Coding agent review, updated weekly (latest W40 2026).
Gemini 3.6 Flash scores C overall on Electricity Bench and clears tier 4 of 5 on real-world issues. Its best suite is vibe coding at C+. One pass of our task set uses 12.6% of Google AI Pro's weekly limit.Measured
Superseded by Gemini 3.7 Flash (week 2026-W33). These grades stay published as the record of what this agent scored while it ran.
Clears tier 4 of 5 (partial at tier 5) on Real-world issues
Capability mean across 2 graded suite families.
What the tiers mean
"Clears" marks the highest rung where every task at it and below was solved. Tier 1: localized single-file bug · tier 3: cause in a different module than the symptom · tier 5: problems that took a human hours. A cleared rung solved every task on it; a partial rung solved some. The headline stops at the last unbroken rung, so a solved tier above a half-solved one counts only as partial.
What the levels mean
Level 1: a full brief naming the surface and the acceptance · level 3: the report as filed · level 5: a vague vibe report in a non-technical user's words. Context falls as the level rises, so vaguer is harder. A cleared level fixed every bug at it and below; a partial level fixed some. The headline stops at the last unbroken level, so a fix above a half-cleared level counts only as partial.
11 of this suite's tasks were credited rather than run: on a suite that asks the same problem at several levels of detail, solving it from the vaguest description credits the more detailed ones instead of asking again.
Per-suite results
12 of 15 tasks solved - grouped by tier, easiest first; hover a square for its time and turns.
Run on antigravity-cli 1.1.11, model gemini-3.6-flash (effort medium), week 2026-W33.
One run of this suite consumes about 72.1% of Google AI Pro's 5h window and 12.6% of the weekly limit.
Google AI Pro's weekly limit holds 6 fully spent 5h windows, out of the 33.6 a calendar week contains. Measured over 653 runs in 41 session windows, every one of which agreed.
How the plan cost was measured
Measured per suite run (reported-delta); an absolute cost on this plan, not comparable with another agent's plan. Measured on a dedicated subscription.
How the limits work on Antigravity CLI: /limits/antigravity-cli/
21 of 25 tasks solved (11 credited without running) - each row is one bug, vaguest report first and context growing to the right; hover a square for its time and turns.
Run on antigravity-cli 1.1.12, model gemini-3.6-flash (effort medium), week 2026-W33.
One good solve on this suite consumes, on average, 4.9% of Google AI Pro's 5h window and 0.8% of the weekly limit.
Google AI Pro's weekly limit holds 6 fully spent 5h windows, out of the 33.6 a calendar week contains. Measured over 653 runs in 41 session windows, every one of which agreed.
How the plan cost was measured
Counted over each issue's first solve (5 solves); the walk's failed harder cells and confirmation runs are the benchmark's own search cost and are excluded (full walk: 12.3% over 14 cells). Measured per cell run (reported-delta); an absolute cost on this plan, not comparable with another agent's plan. Measured on a dedicated subscription.
How the limits work on Antigravity CLI: /limits/antigravity-cli/
Task outputs from these runs are withheld: publishing them would reveal the private suite. Per-task scores, times and turns are in the chips above.
Trajectory
One point per grading week - a re-run within a week shows only its latest execution. Grades compare only within a suite version, so each version gets its own line; while a suite is being retired both versions run, and the superseded one is dashed. The filled point is the run the scorecard shows today. Click a point or week for plan usage. All agents over time →
Weekly heads
Newest week first. Click a row for usage.
| Week | Grade | Capability | Usage /1w |
|---|---|---|---|
| 2026-W32 · v3now | C- | 60% | 19.6% |
Frequently asked questions
Is Gemini 3.6 Flash worth it on Google AI Pro?
On our private real-world suite (real-world@v3), Gemini 3.6 Flash earned grade C- with 60% capability, clearing every problem up to tier 4 of 5 - a cross-cutting problem needing broad codebase orientation and landing some tier 5 problems. It runs on Google AI Pro. One full suite run consumed 12.6% of the plan's week window. Measured 2026-08-10.
Is Gemini 3.6 Flash good for coding?
Gemini 3.6 Flash clears tier 4 of our five-tier real-world ladder - every task at that tier and below - where tier 1 is a localized single-file bug and tier 5 is a problem that took a human engineer hours. It solves some but not all tasks up at tier 5. Its capability score on real-world@v3 is 60% (grade C-). Last benchmarked 2026-08-10.
How much of Google AI Pro does one Gemini 3.6 Flash task use?
One full suite run consumed 12.6% of Google AI Pro's weekly limit, read off the provider's own meter before and after the run. A benchmark task is a whole multi-turn agent session, not a message, and the share belongs to this plan alone: it is not comparable with another agent's plan. Measured 2026-08-10.
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