Use-case benchmarks
The best model is the one that ships your work.
We don't sell you the cheapest token or chase a single contested leaderboard number. srooter benchmarks by developer use case and routes each request to the model that maximises productivity — automatically, behind one endpoint. Below is how we route, and the evidence behind it.
“Implement or refactor a feature across many files”
Coding agent
srooter keeps real multi-file coding on the model you asked for (Claude), and offers MiniMax-M2 as a near-frontier, far-cheaper alternative when you opt in. We never silently downgrade a coding turn.
srooter routes to
Claude Opus
Anthropic
Productivity outcome
First-try PR correctness — fewer review round-trips
Evidence · SWE-bench Verified
Claude Opus 4.8 ~88.6% · MiniMax-M2 ~80% (open-weight leader)
swebench.com ↗Use-case × model fit
| Use case | Claude Opus4.8 | MiniMax-M2M2 | MiniMax-M3M3 | Gemini3.1 Pro | DeepSeekV3.2 | Qwen332B |
|---|---|---|---|---|---|---|
| Coding agent | routed | |||||
| Whole-repo / long context | routed | |||||
| Architecture & security review | routed | |||||
| Quick edits & housekeeping | routed | |||||
| Bulk extraction & classification | routed | |||||
| Hard debugging & reasoning | routed |
Models reference
The models srooter routes across, with versions and where each shines. SWE-bench Verified figures are external evidence (approximate — see note).
Anthropic
Frontier coding, architecture & security judgment
- Context:
- 200K (1M beta)
- SWE-bench:
- ~88.6%
MiniMax
Near-frontier coding at a fraction of the cost
- Context:
- ~205K
- SWE-bench:
- ~80% (open-weight leader)
MiniMax
Whole-repo / long-context work without truncation
- Context:
- 1M
- SWE-bench:
- —
Multimodal, bulk extraction, grounded research
- Context:
- 1M+
- SWE-bench:
- ~80.6%
DeepSeek
Strong reasoning & debugging, very low cost
- Context:
- 128K
- SWE-bench:
- ~73%
Alibaba
Instant trivial/housekeeping turns (served via Groq)
- Context:
- 256K
- SWE-bench:
- —
External benchmarks are shown as evidence, sourced and dated (verified June 2026); treat them as approximate. SWE-bench Verified is known to be partly contaminated (OpenAI moved to SWE-bench Pro in early 2026) — which is exactly why we lead with use-case fit, not one number. The fit ratings are srooter's routing recommendations, not measured scores.