cd /news/ai-agents/we-ran-2-vs-4-agents-six-times-four-… · home topics ai-agents article
[ARTICLE · art-137587] src=dev.to ↗ pub= topic=ai-agents verified=true sentiment=· neutral

We ran 2 vs 4 agents six times. Four agents cost 2.1 and did not improve success

A developer ran a preregistered, capped comparison of 2-agent versus 4-agent configurations on a deterministic public-repair task, completing six live runs across three repeats per group. Both groups succeeded in exactly one of three repeats, while the 4-agent group cost 2.115× more per run and per complete success, indicating that adding agents was operationally viable but did not improve outcomes on this task. The author has released two public artifacts and is seeking three independent reproductions by non-authors, noting that any hash mismatch would be the most useful reply.

by read3 min views1 publishedSep 22, 2026

Short version: I ran a preregistered 2-agent versus 4-agent comparison on a deterministic task.

Six live runs completed under hard caps. Both groups succeeded in exactly one of three repeats.

The 4-agent group cost 2.115× more per run and per complete success. More agents were operationally

viable; they were not better on this task.

The scenario is a deterministic public-repair contribution task:

The point of forcing coverage was to avoid the earlier failure mode where one agent dominated every

turn and the other participants never acted.

Item Value
Groups 2 agents / 3 steps; 4 agents / 5 steps
Repeats 3 per group
Caps per run 150 calls / USD 0.50 / 600s
Choice model deepseek-flash on a Responses API contract
Outcome machine-decidable outcome.json
Validity provenance, coverage, integer choices, arithmetic, caps, port closure, archive hashes

All six runs passed every validity gate. No parser failure, no budget breach, no port leak.

Run Agents Total / threshold Success Zero contributors Calls Total tokens Cost USD
2-agent r1 2 2 / 3 no 1 17 10,060 0.0269116
2-agent r2 2 3 / 3 yes 0 17 11,070 0.0313716
2-agent r3 2 0 / 3 no 2 17 10,255 0.0281116
4-agent r1 4 3 / 5 no 2 33 21,493 0.0597772
4-agent r2 4 2 / 5 no 2 33 22,679 0.0641372
4-agent r3 4 5 / 5 yes 0 33 21,459 0.0588042

Group aggregates:

| Metric | 2-agent | 4-agent | Ratio | 
|---|---|---|---|

| complete successes | 1 / 3 | 1 / 3 | 1.000 | | mean calls | 17.00 | 33.00 | 1.941 | | mean total tokens | 10,461.67 | 21,877.00 | 2.091 | | mean cost USD | 0.028798 | 0.060906 | 2.115 | | mean zero contributors | 1.000 | 1.333 | 1.333 |

Two pieces are now public:

6cc70156facb37baf23fe5fe57dad93d43502b91) — schema, synthetic GenMentor adapter, fixtures, tests; v0.1.0-rc2) — local-first run validation, hashed reports, and a synthetic deletion proof. The full protocol and the archived runs stay private. The result is intentionally boring: a negative result with caps, hashes, and every failed run preserved.

I am also looking for three independent reproductions by non-authors. The trust layer guide expects 13 passed under both TZ=UTC and TZ=Asia/Shanghai, report_hash a841b192981fd7e7, and deletion audit_hash 4f0193abbd49a0f9. If you run it and any hash differs, that is the most useful reply I can get. If you have a task where you believe more agents should win, that is the experiment I want to run next.

── more in #ai-agents 4 stories · sorted by recency
── more on @deepseek-flash 3 stories trending now
sponsored brought to you by zahid.host 4,200+ EU-deployed projects
reading about agents? ship yours in a single git push.

Run your AI side-project on zahid.host

EU-based hosting, git-push deploys, automatic HTTPS, no cold starts. Free tier with a custom domain — perfect for shipping the agent you just read about.

$git push zahid main
Live at https://your-agent.zahid.host
Get free account → Pricing
from €0/mo · no card required
LIVE [news/we-ran-2-vs-4-agents…] indexed:0 read:3min 2026-09-22 ·