Compare / head-to-head
GLM-4.6Vvs
GPT-6 Astra
GPT-6 Astra leads 2 of 2 shared benchmarks. GLM-4.6V is 50x cheaper per token. GPT-6 Astra has the larger context window (1.1M tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
0 – 2
GPT-6 Astra leads
Cheaper per token
GLM-4.6V
50x cheaper, input + output
Larger context
GPT-6 Astra
1.1M tokens
Providers
2 providers
Z.ai · OpenAI
GLM-4.6V
Z.ai · released 2025-12-08
textvisionvideo
GPT-6 Astra
OpenAI · released 2026-09-03
textvision
Quality
Benchmark matrix
2 shared · 15 only GLM-4.6V · 31 only GPT-6 Astra| Benchmark | GLM-4.6V | GPT-6 Astra | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 2 | ||||
| LMArena Elo | 1378.7 ↗ | 1477.1 ↗ | -98.4 | GPT-6 Astra |
| LMArena Vision (LMArena) | 1161.5 ↗ | 1284.3 ↗ | -122.8 | GPT-6 Astra |
| Only GLM-4.6V reports · 15 | ||||
| AndroidWorld | 57% ↗ | not reported | — | — |
| ChartQAPro | 65.5% ↗ | not reported | — | — |
| CharXiv_Val-Reasoning | 63.2% ↗ | not reported | — | — |
| Design2Code | 88.6% ↗ | not reported | — | — |
| MathVista | 85.2% ↗ | not reported | — | — |
| MMBench V1.1 | 88.8% ↗ | not reported | — | — |
| MMBrowseComp | 7.6% ↗ | not reported | — | — |
| MMLongBench-Doc | 54.9% ↗ | not reported | — | — |
| MMMU (Val) | 76% ↗ | not reported | — | — |
| MMMU_Pro | 66% ↗ | not reported | — | — |
| MMStar | 75.9% ↗ | not reported | — | — |
| OCRBench | 86.5% ↗ | not reported | — | — |
| OSWorld | 37.2% ↗ | not reported | — | — |
| VideoMMMU | 74.7% ↗ | not reported | — | — |
| WebVoyager | 81% ↗ | not reported | — | — |
| Only GPT-6 Astra reports · 31 | ||||
| GPQA Diamond | not reported | 96% ↗ | — | — |
| APEX-Agents (Mercor) | not reported | 64.7% ↗ | — | — |
| AutomationBench 1.0.6 | not reported | 41.4% ↗ | — | — |
| BALROG (BALROG) | not reported | 68.3% ↗ | — | — |
| Chess Puzzles (Epoch AI run) | not reported | 72% ↗epoch run | — | — |
| DeepSWE v1.1 (Datacurve) | not reported | 74.1% ↗ | — | — |
| EBR-bench (Epoch AI run) | not reported | 76.2% ↗epoch run | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | not reported | 97.6% ↗epoch run | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | not reported | 93.7% ↗epoch run | — | — |
| FrontierSWE V2 (Proximal Labs) | not reported | 65.5% ↗ | — | — |
| Furniture Assembly (Epoch AI run) | not reported | 80% ↗epoch run | — | — |
| GSO Opt@1 (GSO) | not reported | 77.5% ↗ | — | — |
| LiveBench Agentic Coding (LiveBench) | not reported | 57.3% ↗ | — | — |
| LiveBench Coding (LiveBench) | not reported | 80.4% ↗ | — | — |
| LiveBench Data Analysis (LiveBench) | not reported | 83% ↗ | — | — |
| LiveBench Instruction Following (LiveBench) | not reported | 75.6% ↗ | — | — |
| LiveBench Language (LiveBench) | not reported | 89.4% ↗ | — | — |
| LiveBench Mathematics (LiveBench) | not reported | 96.8% ↗ | — | — |
| LiveBench Reasoning (LiveBench) | not reported | 92.7% ↗ | — | — |
| LMArena Agent (LMArena) | not reported | 0.1227 ↗ | — | — |
| LMArena WebDev (LMArena) | not reported | 1787.7 ↗ | — | — |
| MirrorCode (Epoch AI run) | not reported | 46.7% ↗epoch run | — | — |
| Mystery Game Puzzles (Epoch AI run) | not reported | 84% ↗epoch run | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | not reported | 100% ↗epoch run | — | — |
| SAGE (Vals AI) | not reported | 46.4% ↗ | — | — |
| SimpleBench (SimpleBench) | not reported | 86.5% ↗ | — | — |
| SimpleQA Verified | not reported | 75.6% ↗epoch run | — | — |
| Terminal-Bench 4.0 (Vals AI) | not reported | 59.6% ↗ | — | — |
| Terminal-Bench Science 0.1 | not reported | 64.6% ↗ | — | — |
| Vending-Bench 2 (Andon Labs) | not reported | 15514.7 ↗ | — | — |
| WeirdML (Håvard Tveit Ihle) | not reported | 93.6% ↗ | — | — |
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-4.6V minus GPT-6 Astra 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-4.6V | GPT-6 Astra | Edge |
|---|---|---|---|
| Context window | 128K tokens | 1.1M tokens | GPT-6 Astra |
| Max output | 32K tokens | 128K tokens | GPT-6 Astra |
| Input price / 1M | $0.3 ↗ | $10 ↗ | GLM-4.6V |
| Output price / 1M | $0.9 ↗ | $50 ↗ | GLM-4.6V |
| Cached input / 1M | $0.05 ↗ | $1 ↗ | GLM-4.6V |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $1.2 | $60 | GLM-4.6V |
| Modalities | text · vision · video | text · vision | GLM-4.6V |
| Released | 2025-12-08 | 2026-09-03 | — |
| Cited benchmark scores | 17 | 39 | — |
Reliability
Provider status
Live from /statusMore matchups
GLM-4.6V vs …
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GPT-6 Astra vs …
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Which one wins on your data?
Public benchmarks are a starting point. Run GLM-4.6V and GPT-6 Astra on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.