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Code review

Compare Claude Sonnet, GPT-5 Mini, GPT-5 for PR diff review comments. From $40/mo for 10K PRs. Security and logic bug detection benchmarked.

Your usage

Default assumptions
Monthly requests10,000
Avg input tokens4000
Avg output tokens800

When to use this scenario

Automated code review analyzes PR diffs and flags security vulnerabilities, logic bugs, style violations, and missing error handling before human reviewers see the change. The primary value is asymmetric: catching one SQL injection or hardcoded secret pays for months of model cost.

Claude Sonnet consistently outperforms cheaper models on reasoning about multi-file diffs, understanding whether a change breaks an invariant that exists in a file not in the diff, and explaining the root cause of a subtle bug rather than just flagging the symptom. At 10K PRs/month with 4K average input tokens, Claude Sonnet costs roughly $120 in input. The same workload on GPT-5 is $500.

Include full file context for the touched functions, not just the diff lines — models reviewing a 20-line diff without knowing the function's callers produce surface-level comments about formatting rather than behavioral analysis.

Common pitfalls

  • Providing only the unified diff without surrounding context — models flag issues inside the diff but miss regressions in unchanged callers
  • Not distinguishing comment severity levels in the prompt (error / warning / nit) — undifferentiated feedback trains teams to ignore all AI comments
  • Using code review output to auto-block merges without human override — false positive rates of 10–15% on style issues will cause friction
  • Expecting the model to catch runtime concurrency bugs from static analysis alone; complement with dynamic instrumentation for race conditions

Recommended routing

Sorted by best value for your usage
PRIMARY
Claude 4.6 Sonnet
Anthropic · quality 89 · 85 tok/s
Monthly cost$240
Vs baseline−-85%
P50 latency1.1s
Use this
FALLBACK
GPT-5 mini
OpenAI · quality 84 · 280 tok/s
Monthly cost$26
Vs baseline−80%
P50 latency0.3s
Add as fallback
DeepSeek V3.5
DeepSeek · quality 81 · 95 tok/s
Monthly cost$7.84
Vs baseline−94%
P50 latency1.5s
Try

Baseline = GPT-5 at the same usage = $130/mo.

Routing simulator

Phase 2 preview

Drag the slider to split traffic between Claude 4.6 Sonnet (primary) and GPT-5 mini (fallback). See how your monthly bill moves — without writing a line of gateway code.

Primary: Claude 4.6 SonnetFallback: GPT-5 mini
70% Claude30% GPT-5
Blended monthly cost$176at the usage assumed above
Vs all-primary−27%$240 → $176

Phase 2 turns this routing into a real OpenAI-compatible endpoint — one key, one bill, automatic failover. Drop your email to be notified at launch.

Stored in your browser only until our email backend lands. No tracking, one click to remove.

Use this routing via API

Phase 2 preview · gateway not live yet
PHASE 2 PREVIEW · gateway not live yetThis endpoint does not exist yet. The gateway is in Phase 2 — what you see below is a design preview of the planned interface, not a live API. We will email subscribers when it launches.
Preview the planned API call
$ curl https://api.aipricly.com/v1/chat/completions \
  -H "Authorization: Bearer $AIPC_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "scenario": "code-review",
    "messages": [{"role": "user", "content": "..."}]
  }'
Get notified at launch

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