Compare the models people actually argue about.
Keep the recommendation honest.
Use case and source filter stay visible up top. Edits, saves, follows, and links stay available without running the page.
Keep the same models, change the use case, and recompute the recommendation without resetting the page.
Keep the compare set tight. Add one model at a time, then prune aggressively.
Save, follow, or copy this exact setup only after the comparison looks right.
GLM 5 Turbo leads this compare set for coding copilot.
The source data is visible, but a direct ranking is blocked by these rules: Benchmark-derived GLM 5 Turbo is visible for receipts but excluded from default overall rankings.
- Shared tests
- 11
- Close calls
- 0
- Sources
- All public
Read this page as a workspace for choosing between top models, not as a universal crown. The current frame is Coding copilot under best for this use case.
- Why the leader is ahead
- Search / tool use · Chat / text
- Where the evidence is thin
- 0 close-call benchmarks and 103 missing missing leader rows keep this from reading as settled.
- What to do next
- Inspect decisive benchmarks first, then open the disagreement page or head-to-head pages if the top line still feels too narrow.
| Intelligence Index AA · index Text · Chat / text | 38n/a exact aliasverified runtimeContext only Row details
| n/a |
| GPQA AA · % Text · Reasoning / math / science | 84.7%n/a exact aliasverified runtimeContext only Row details
| n/a |
| Humanity's Last Exam AA · % Text · Reasoning / math / science | 25.4%n/a exact aliasverified runtimeContext only Row details
| n/a |
| CritPt AA · % Text · Reasoning / math / science | 0.3%n/a exact aliasverified runtimeContext only Row details
| n/a |
| SciCode AA · % Code · Coding | 43.6%n/a exact aliasverified runtimeContext only Row details
| n/a |
| Terminal-Bench Hard AA · % Code · Coding | 33.3%n/a exact aliasverified runtimeContext only Row details
| n/a |
| Tau2-Bench Telecom AA · % Text · Search / tool use | 98.5%n/a exact aliasverified runtimeContext only Row details
| n/a |
| AA-Omniscience accuracy AA · % Text · Chat / text | 29%n/a exact aliasverified runtimeContext only Row details
| n/a |
| AA-Omniscience non-hallucination AA · % Text · Chat / text | 37.8%n/a exact aliasverified runtimeContext only Row details
| n/a |
| IFBench AA · % Text · Chat / text | 73.2%n/a exact aliasverified runtimeContext only Row details
| n/a |
| Long Context Reasoning AA · % Document · Long context | 60.7%n/a exact aliasverified runtimeContext only Row details
| n/a |
What is doing the visible work
- No decisive benchmark
- The shared tests are too split or too sparse for a clean separator.
What changes the winner
- GLM 5 Turbo
- 103 visible benchmark gaps still leave room for the result to move.
Where evidence is missing
How this weighting reads the field
The current decision mode is grounded in the Coding copilot preset. This keeps the compare page connected to a visible use case instead of an unspoken “overall winner” claim.