PRarena is live · free · last verified 23 Oct 2026 · viability monitor
PRarena
PR Arena ranks AI coding agents by real pull request merge rate on public repos.
The one number vendors can't spin is whether their pull requests actually merge, and PR Arena puts it on a public scoreboard for free. We'd use it to shortlist before a paid trial, not to make the call — Devin's 64.7% next to Copilot's 96.0% is a meaningful signal, but it tells you nothing about what either costs or how either behaves in your repo.
Verdict generatedVerified 7d ago · liveness 62/100 · cite: rightaichoice.com/tools/prarena
- Engineering managers shortlisting among the six tracked coding agents before a paid trial
- Developers who want merge-rate evidence rather than vendor claims
- Tech leads who need a defensible, public data point to justify an agent pick
- Researchers tracking coding-agent merge performance over time
- Anyone who needs a coding agent to write code — PR Arena only compares them
- Buyers comparing pricing, latency, or feature sets; none of that is shown
- Evaluating agent work outside PR creation, like code review or debugging
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
- Honest verdict, not marketing
- Real pros & cons from real users
- Attributed quotes with receipts
3 free scans · no card needed
Skip PR Arena if you need per-seat pricing, latency numbers, or code-quality signals outside the merge event — the dashboard publishes none of these and grades only public PR outcomes.
PRarena's pricing fits teams whose volume aligns with the published tiers. Compare against the alternatives listed below for stage-specific value.
In short
PRarena — PR Arena ranks AI coding agents by real pull request merge rate on public repos. Best for Engineering managers shortlisting among the six tracked coding agents before a paid trial, Developers who want merge-rate evidence rather than vendor claims, Tech leads who need a defensible, public data point to justify an agent pick. Free to use.
What is PRarena?
PRarena — PR Arena ranks AI coding agents by real pull request merge rate on public repos. Best for Engineering managers shortlisting among the six tracked coding agents before a paid trial, Developers who want merge-rate evidence rather than vendor claims, Tech leads who need a defensible, public data point to justify an agent pick. Free to use.
PR Arena is a public leaderboard that scores AI software-engineering agents on how their pull requests actually land in real GitHub repositories. Rather than synthetic benchmarks or vendor claims, it counts merged PRs across six tracked agents: GitHub Copilot coding agent, OpenAI Codex, Cursor Agents, Devin, Codegen, and Google Labs Jules. No login, no paywall. The headline metric is Success Rate (M/R): Merged PRs divided by Ready PRs, where Ready PRs exclude drafts. That normalization matters because agents file work differently — Codex iterates privately and files ready PRs directly (260,907 drafts against 8,055,387 ready), while Copilot (539,073 drafts), Cursor (556,410), and Codegen (3,015 against 6,436 ready) lean draft-first. Flip to Merged/All PRs to fold drafts back in. At the October 23, 2026 04:32 UTC refresh, Copilot sits at 96.0% M/R on 1,648,378 ready PRs, Codex at 90.3% on 8,055,387, Cursor at 101.6% on 1,182,540, Jules at 84.2%, Devin at 64.7%, and Codegen at 62.2%. Three view modes (Complete, Volume Only, Success Rate Only), per-agent toggles, and a sortable table let you slice the numbers your own way, with a Definitions panel spelling out All, Ready, and Merged PRs. Treat it as a first-pass filter before you trial anything. Merge rate says nothing about cost, latency, or code quality beyond whether the PR got in — for buyers weighing agent subscriptions, that gap is the whole story.
Key features
- Live leaderboard ranking six AI coding agents by real pull request merge rate
- Success Rate (M/R) metric: Merged PRs divided by Ready PRs, excluding drafts
- Toggle to Merged/All PRs to include draft pull requests in the rate
- Tracks GitHub Copilot coding agent, OpenAI Codex, Cursor Agents, Devin, Codegen, Google Labs Jules
- Per-agent counts for draft, ready, and merged pull requests
- Three view modes: Complete View, Volume Only, Success Rate Only
- Per-agent toggle filters and a sortable comparison table
- Definitions panel explaining All PRs, Ready PRs, and Merged PRs
- Workflow-aware comparison of draft-first vs direct-to-ready agents
- Web dashboard with no login required
- Built on public repository PR data instead of synthetic benchmarks
- Rolling data refresh, last updated October 23, 2026 04:32 UTC
Behind the verdict
Pick PR Arena when you're narrowing a shortlist and want evidence that doesn't come from a vendor blog. If three agents are pitching you this quarter, the M/R figures give you a defensible starting order: Copilot and Codex are clearly producing mergeable code at volume, and Jules at 84.2% on a much smaller 244,310 ready PRs is at least interesting enough to trial. Pass on it if you need to choose on price, latency, IDE support, or anything about how an agent behaves on private code. None of that lives here. The dataset is public repositories only, and agents working on one-off scripts, internal monorepos, or unusual stacks may behave nothing like their public-repo numbers suggest. Watch the Cursor 101.6% figure before you quote it. A success rate above 100% means merged counts outran ready counts, so PRs that were drafted and later merged are landing in the numerator without a matching ready denominator. It is a measurement artifact, not a sign Cursor outperforms Copilot — compare the Merged/All number when a rate crosses 100%. Where it bites: six agents is a short list. If your candidate is a niche or in-house agent, it isn't tracked. The rankings also shift with each refresh, so a single snapshot from a month ago is a weak citation — check the timestamp in the footer. Against alternatives, PR Arena is narrower than general LLM coding benchmarks like SWE-bench and more honest than vendor-published case studies, because the metric is downstream of the work: did the code get merged by a human reviewer or not. That's a blunt measure, and it's the one we trust most for a first cut. Our advice to engineering managers: pull the leaderboard, note the top two or three by M/R at meaningful volume, then run your own two-week trial on your own backlog. PR Arena gets you to
Models under the hood
as of 2026-10-30
Limitations
- PR Arena is a benchmarking leaderboard ranking six named AI coding agents (GitHub Copilot coding agent, OpenAI Codex, Cursor Agents, Devin, Codegen, and Google Labs Jules) by real pull request merge statistics; the evidence exposes no pricing, integrations, latency, or capabilities beyond PR creation/merging.
- The default success-rate metric is Merged/Ready PRs (M/R), with a toggle for Merged/All PRs that includes drafts, so results depend on the chosen metric because agents differ in draft-first vs direct-to-ready workflows.
- The Cursor Agents row displays a Success Rate above 100% (100.1% on the current page), an anomalous value that should be read with caution.
- Data is a snapshot with a stated last-updated timestamp (October 30, 2026 17:59 UTC), so figures are point-in-time rather than continuous.
as of 2026-10-03
Researching PRarena? Get your full AI stack in 60 seconds.
Free, no signup — tell us your goal and get tools matched to your budget & existing stack.
Is PRarena still active?
PRarena is live · free · last verified 23 Oct 2026 · viability monitor.
Viability score
How well maintained and how widely used is PRarena? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →What do users say about PRarena?
What people actually say about PRarena — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
ResearchedDiscussed by users across 3 sources (Hacker News, YouTube, GitHub) · researched Sep 23, 2026.
Weighted by the 26 posts each of 3 sources contributed.
- +Free and requires no login — a zero-friction check for anyone evaluating agents
- +Uses real public PR data rather than vendor-run synthetic benchmarks or marketing claims
- +Tracks merge success rate, the metric that most directly maps to shipped code
- +'Ready PRs Only' default fairly normalizes agents with different draft workflows
- +Maintainers respond fast — methodology and agent-add issues closed within days
- −Claude Code is missing entirely despite being an open request since September 2025
- −Devin PRs undercounted because users can open PRs under their own name
- −Merge rate alone says nothing about code quality, review burden, or maintenance cost
- −No pricing, feature, or IDE-integration comparison — you'll need other sources for those
- −Public-repo-only data skews toward open-source workflows, not enterprise reality
- • No monetary cost, but the real 'cost' is decision risk: you'll need to pay for other sources (or run your own trials) to fill gaps in pricing, features, and language-specific performance.
- • Time cost of interpreting the leaderboard correctly — misunderstanding draft-gating modes can lead to a wrong agent choice.
How we verified this
Every listed fact about PRarena— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 23 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified PRarena 11 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed pricing page, limitations
- — changed description, who it suits, our verdict, summary, features
- — changed pricing page, limitations
- — changed features, our verdict, description, summary, who should skip it, who it suits
- — changed SSL certificate
- — changed limitations, pricing page
Showing the 6 most recent of 11 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does PRarena cost in 2026?
PRarena: Free to use. Pricing last verified 23 Oct 2026.
Where the pricing makes sense
The company stage and team size where PRarena's pricing actually pencils out — and where peers do it cheaper.
PRarena's pricing fits teams whose volume aligns with the published tiers. Compare against the alternatives listed below for stage-specific value.
Has PRarena's pricing changed?
No plan price for PRarena has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick PRarena?
Pick PRarena if you are Engineering managers shortlisting among the six tracked coding agents before a paid trial, Developers who want merge-rate evidence rather than vendor claims, Tech leads who need a defensible, public data point to justify an agent pick, Researchers tracking coding-agent merge performance over time.
Look elsewhere if you are Anyone who needs a coding agent to write code — PR Arena only compares them, Buyers comparing pricing, latency, or feature sets; none of that is shown, Evaluating agent work outside PR creation, like code review or debugging, Teams running agents not on the list, including niche or in-house tools.
Skip it if Skip PR Arena if you need per-seat pricing, latency numbers, or code-quality signals outside the merge event — the dashboard publishes none of these and grades only public PR outcomes.
GeneratedReal-world workflow fit
Concrete scenarios for the personas PRarena actually fits — and what changes day-one when you adopt it.
Open the leaderboard, switch to Success Rate Only, and compare 96.0% Copilot M/R against 89.8% Codex M/R and 85.3% Jules M/R.
Outcome: A shortlist of two or three agents worth a hands-on trial in your own repository, chosen on merge evidence rather than vendor slides.
Filter the table to your agent, then toggle between Ready PRs Only and All PRs to see how much of its volume is draft traffic.
Outcome: A clear read on whether your experience of draft-heavy iteration matches the public pattern before you escalate it as a problem.
Re-check the table against the last snapshot and note which agents moved, using Codex's 7,329,928 ready PRs and Codegen's 5,689 to frame the scale difference.
Outcome: A recommendation you can defend with public PR counts instead of internal anecdotes.
Use cases
- Compare 96.0% Copilot M/R against 89.8% Codex M/R before picking one for your team.
- See which agent opens the fewest drafts relative to ready PRs to gauge iteration overhead.
- Track Success Rate across refreshes to see which agent improves fastest.
- Bring public PR counts (Codex at 7,329,928 ready) to a leadership discussion on agent adoption.
- Sanity-check your own in-repo experience against the leaderboard before committing to a rollout.
- Filter the table to two agents when you only care about a head-to-head decision.
Setup time & first value
How long it actually takes to get something useful out of PRarena — broken out by persona, not the marketing-page minute.
No setup and no login: the leaderboard renders on page load, so your first read takes under a minute. Open the Definitions panel first if you plan to quote Success Rate — understanding M/R versus M/A takes another minute or two and prevents the most common misreading of the table.
Resources & guides
Tutorials & Learning
YouTube returned 6 videos for “PRarena”, and we withheld 6: 6 could not be judged, because “PRarena” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about PRarena.
Official links
What are the best PRarena alternatives?
The closest alternatives to PRarena we list are Arena AI, Synth and Tokentelemetry. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Arena AI | Free | Free | — |
| Synth | Freemium | Pricing not published | — |
| Tokentelemetry | Free | Free | — |
Alternatives to PRarena
View all
Arena AI
Arena AI ranks chat models and coding agents on live head-to-head human votes and real agent sessions.
Synth
Synth is a research workbench and hosted compute for optimizing coding agents with reproducible, evidence-backed evals.
Tokentelemetry
Local, MIT-licensed token usage and cost tracking for AI coding agents — reads the logs your agents already write.
Tools that pair well with PRarena
Common stack mates teams adopt alongside PRarena, with the specific reason each pairing earns its keep.
Arena AI
Arena AI ranks chat models and coding agents on live head-to-head human votes and real agent sessions.
Synth
Synth is a research workbench and hosted compute for optimizing coding agents with reproducible, evidence-backed evals.
Tokentelemetry
Local, MIT-licensed token usage and cost tracking for AI coding agents — reads the logs your agents already write.
PRarena vs its closest rival
PRarena's closest head-to-head is with Versatile — Versatile and PRarena serve entirely different domains — construction crane intelligence vs. AI coding agent comparison. Your choice depends on your industry: choose Versatile if you manage steel erection and need real-time crane productivity data without changing crew workflows; choose PRarena if you're evaluating which AI coding agent yields the best pull request merge rates. They are not competitors. Verdict generated
Head-to-head comparisons
Prarena vs Versatile
Versatile and PRarena serve entirely different domains — construction crane intelligence vs. AI coding agent comparison. Your choice depends on your industry: choose Versatile if you manage steel erection and need real-time crane productivity data without changing crew workflows; choose PRarena if you're evaluating which AI coding agent yields the best pull request merge rates. They are not competitors.
GeneratedPrarena vs Screenplayiq
PR Arena and ScreenplayIQ serve completely different domains—coding agent evaluation vs. screenplay analysis. PR Arena is a free, data-driven leaderboard for engineering teams choosing AI coding tools. ScreenplayIQ is a paid script analysis platform for film professionals needing box office predictions and structural feedback. Choose based on whether you're evaluating developers or screenplays.
GeneratedPrarena vs Geologicai
GeologicAI and PRarena serve completely different domains: GeologicAI is a high-cost, enterprise-grade mining platform for critical minerals, while PRarena is a free leaderboard for comparing AI coding agents. Choose GeologicAI if you're in mining needing rapid multi-sensor core analysis; choose PRarena if you're evaluating coding agents for software development.
GeneratedFrequently asked questions
Used PRarena? Help shape our editorial sentiment research.