Compare / head-to-head
GLM-5.2vs
Inkling
GLM-5.2 leads 18 of 23 shared benchmarks. Inkling is 1.1x cheaper per token. Both offer a 1M-token context window.
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
18 – 4
GLM-5.2 leads · 1 tied
Cheaper per token
Inkling
1.1x cheaper, input + output
Larger context
Tie
both 1M tokens
Providers
2 providers
Z.ai · Thinking Machines Lab
GLM-5.2
Z.ai · released 2026-06-24
text
Quality
Benchmark matrix
23 shared · 23 only GLM-5.2 · 15 only Inkling| Benchmark | GLM-5.2 | Inkling | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 23 | ||||
| GPQA Diamond | 91.9% ↗epoch run | 88.3% ↗epoch run | +3.6 pt | GLM-5.2 |
| AIME 2026 | 90% ↗matharena ⚠ | 97.1% ↗ | -7.1 pt | Inkling |
| LMArena Elo | 1475.8 ↗ | 1441.4 ↗ | +34.4 | GLM-5.2 |
| APEX-Agents (Mercor) | 45.2% ↗ | 33.8% ↗ | +11.4 pt | GLM-5.2 |
| Chess Puzzles (Epoch AI run) | 21% ↗epoch run | 21% ↗epoch run | 0 | Tie |
| FrontierMath Tier 4 v2 (Epoch AI run) | 29.3% ↗epoch run | 4.9% ↗epoch run | +24.4 pt | GLM-5.2 |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 59.2% ↗epoch run | 33.3% ↗epoch run | +25.9 pt | GLM-5.2 |
| LiveBench Agentic Coding (LiveBench) | 51.8% ↗ | 49.4% ↗ | +2.4 pt | GLM-5.2 |
| LiveBench Coding (LiveBench) | 79.7% ↗ | 71% ↗ | +8.7 pt | GLM-5.2 |
| LiveBench Data Analysis (LiveBench) | 73.7% ↗ | 72.8% ↗ | +0.9 pt | GLM-5.2 |
| LiveBench Instruction Following (LiveBench) | 62.3% ↗ | 70.1% ↗ | -7.8 pt | Inkling |
| LiveBench Language (LiveBench) | 76.2% ↗ | 73.5% ↗ | +2.7 pt | GLM-5.2 |
| LiveBench Mathematics (LiveBench) | 89.8% ↗ | 88.4% ↗ | +1.4 pt | GLM-5.2 |
| LiveBench Reasoning (LiveBench) | 78.6% ↗ | 78.3% ↗ | +0.3 pt | GLM-5.2 |
| LMArena Agent (LMArena) | 0.0348 ↗ | -0.1086 ↗ | +0.1 | GLM-5.2 |
| LMArena WebDev (LMArena) | 1605 ↗ | 1412.6 ↗ | +192.4 | GLM-5.2 |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 86.4% ↗epoch run | 88.9% ↗epoch run | -2.5 pt | Inkling |
| SimpleBench (SimpleBench) | 58.8% ↗ | 50% ↗ | +8.8 pt | GLM-5.2 |
| SimpleQA Verified | 34.2% ↗epoch run | 43.9% ↗ | -9.7 pt | Inkling |
| tau2-bench Banking Knowledge (Sierra) | 37.1% ↗ | 25% ↗ | +12.1 pt | GLM-5.2 |
| Toolathlon Verified | 59.9% ↗ | 45.5% ↗ | +14.4 pt | GLM-5.2 |
| Toolathlon-Verified (HKUST) | 59.9% ↗ | 45.5% ↗ | +14.4 pt | GLM-5.2 |
| WeirdML (Håvard Tveit Ihle) | 70.1% ↗ | 32.3% ↗ | +37.8 pt | GLM-5.2 |
| Only GLM-5.2 reports · 23 | ||||
| Agents' Last Exam (ALE-CLI) | 23.8% ↗ | not reported | — | — |
| AutomationBench v1.0.6 | 26.2% ↗ | not reported | — | — |
| CyberGym | 77.2% ↗ | not reported | — | — |
| DeepSWE v1.1 | 46.2% ↗ | not reported | — | — |
| DeepSWE v1.1 (Datacurve) | 43.8% ↗ | not reported | — | — |
| EBR-bench (Epoch AI run) | 9.5% ↗epoch run | not reported | — | — |
| ExploitBench | 24.4% ↗ | not reported | — | — |
| ExploitGym 2h | 29 ↗ | not reported | — | — |
| ExploitGym 6h | 39 ↗ | not reported | — | — |
| FrontierSWE | 67.5% ↗ | not reported | — | — |
| GDPval-AA v2 | 1508 ↗ | not reported | — | — |
| HLE (with tools) | 54.7% ↗ | not reported | — | — |
| Mystery Game Puzzles (Epoch AI run) | 19% ↗epoch run | not reported | — | — |
| NL2Repo | 48.9% ↗ | not reported | — | — |
| PostTrainBench | 31.7% ↗ | not reported | — | — |
| ProgramBench (Almost Solved) | 9.5% ↗ | not reported | — | — |
| SWE-Bench Pro | 62.1% ↗ | not reported | — | — |
| SWE-bench Verified (Epoch AI run) | 78.7% ↗epoch run | not reported | — | — |
| SWE-Marathon v1.1 | 19.4% ↗ | not reported | — | — |
| SWE-rebench 2026-05-15 to 2026-07-01 (Nebius) | 62.9% ↗ | not reported | — | — |
| Terminal-Bench 2.1 | 81% ↗ | not reported | — | — |
| Terminal-Bench 3.0 | 4.6% ↗ | not reported | — | — |
| Vending-Bench 2 (Andon Labs) | 8313.78 ↗ | not reported | — | — |
| Only Inkling reports · 15 | ||||
| SWE-bench Verified | not reported | 77.6% ↗ | — | — |
| Audio MC | not reported | 56.6% ↗ | — | — |
| BrowseComp (w/ ctx management) | not reported | 77.1% ↗ | — | — |
| CharXiv RQ | not reported | 78.1% ↗ | — | — |
| CharXiv RQ (with python) | not reported | 82% ↗ | — | — |
| FrontierSWE V2 (Proximal Labs) | not reported | 4.1% ↗ | — | — |
| Global-MMLU-Lite | not reported | 88.7% ↗ | — | — |
| IFBench | not reported | 79.8% ↗ | — | — |
| MCP Atlas | not reported | 76% ↗ | — | — |
| MMAU | not reported | 77.2% ↗ | — | — |
| SAGE (Vals AI) | not reported | 36.6% ↗ | — | — |
| SWE-bench Pro (public) | not reported | 54.3% ↗ | — | — |
| Terminal-Bench 2.1 (best harness) | not reported | 63.8% ↗ | — | — |
| Terminal-Bench 4.0 (Vals AI) | not reported | 0.5% ↗ | — | — |
| VoiceBench | not reported | 91.4% ↗ | — | — |
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is GLM-5.2 minus Inkling in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing
Side by side
Official pricing pages and model cards| Spec | GLM-5.2 | Inkling | Edge |
|---|---|---|---|
| Context window | 1M tokens | 1M tokens | Tie |
| Max output | 131K tokens | — | — |
| Input price / 1M | $1.4 ↗ | $1 ↗ | Inkling |
| Output price / 1M | $4.4 ↗ | $4.05 ↗ | Inkling |
| Cached input / 1M | $0.26 ↗ | $0.17 ↗ | Inkling |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $5.8 | $5.05 | Inkling |
| Modalities | text | text · vision · audio | Inkling |
| Released | 2026-06-24 | 2026-07-15 | — |
| Cited benchmark scores | 53 | 39 | — |
Reliability
Provider status
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Which one wins on your data?
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