antigravity-cli + gemini-3.7-flash
antigravity-cli harness · Google AI Pro
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
13 of 15 tasks solved - grouped by tier, easiest first; hover a square for its time and turns.
Run on antigravity-cli 1.1.12, model gemini-3.7-flash (--effort medium), week 2026-W33.
One run of this suite consumes 54.0% of Google AI Pro's 5h window and 9.0% of the weekly limit.
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 benchmark-only account (Dedicated benchmark Google account ebbench.runner@gmail.com on eb-runner; no interactive or IDE use shares the AI Pro weekly Gemini window.).
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 1.1.13, model gemini-3.7-flash (--effort medium), week 2026-W33.
One good solve on this suite consumes, on average, 4.0% of Google AI Pro's 5h window and 0.7% of the weekly limit.
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: 8.7% 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 benchmark-only account (Dedicated benchmark Google account ebbench.runner@gmail.com on eb-runner; no interactive or IDE use shares the AI Pro weekly Gemini window.).
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 →
Dotted = a new model version took the line over (grok-4.5 → grok-4.6): the points either side were graded by different models. Plan or settings re-registrations join solid.
Weekly heads
Newest week first. Click a row for usage.
| Week | Grade | Capability | Usage |
|---|---|---|---|
| 2026-W33 · v3now | C | 73% | 9.0% |
| 2026-W32 · v3 | C | 60% | 19.6% |
Frequently asked questions
Is gemini-3.7-flash worth it on Google AI Pro?
On our private real-world suite (real-world@v3), gemini-3.7-flash earned grade C with 73% 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 9.0% of the plan's week window. Measured 2026-08-13.
How good is gemini-3.7-flash at real-world coding?
gemini-3.7-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 73% (grade C). Last benchmarked 2026-08-13.
Compare
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- gemini-3.7-flash vs grok-4.5
- gemini-3.7-flash vs grok-4.6
In the tools directory
- Antigravity CLI - agentic-coding