Compare / head-to-head
GLM-5V-Turbovs
GPT-6 Astra
GPT-6 Astra leads 3 of 3 shared benchmarks. 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 – 3
GPT-6 Astra leads
Cheaper per token
—
list price, input + output
Larger context
GPT-6 Astra
1.1M tokens
Providers
2 providers
Z.ai · OpenAI
GLM-5V-Turbo
Z.ai · released 2026-04-02
textvisionvideo
- Context
- 200K
- Max out
- 128K
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 18 · 3 core
GPT-6 Astra
OpenAI · released 2026-09-03
textvision
Quality
Benchmark matrix
3 shared · 15 only GLM-5V-Turbo · 30 only GPT-6 Astra| Benchmark | GLM-5V-Turbo | GPT-6 Astra | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 3 | ||||
| LMArena Elo | 1433.5 ↗ | 1477.1 ↗ | -43.6 | GPT-6 Astra |
| LMArena Vision (LMArena) | 1230.1 ↗ | 1284.3 ↗ | -54.2 | GPT-6 Astra |
| LMArena WebDev (LMArena) | 1399.8 ↗ | 1787.7 ↗ | -387.9 | GPT-6 Astra |
| Only GLM-5V-Turbo reports · 15 | ||||
| AndroidWorld | 75.7% ↗ | not reported | — | — |
| BrowseComp-VL | 51.9% ↗ | not reported | — | — |
| CC-Backend | 22.8% ↗ | not reported | — | — |
| CC-Frontend | 68.4% ↗ | not reported | — | — |
| CC-Repo-Exploration | 72.2% ↗ | not reported | — | — |
| Design2Code | 94.8% ↗ | not reported | — | — |
| Flame-VLM-Code | 93.8% ↗ | not reported | — | — |
| ImageMining | 30.7% ↗ | not reported | — | — |
| MMSearch | 72.9% ↗ | not reported | — | — |
| MMSearch-Plus | 30% ↗ | not reported | — | — |
| OSWorld | 62.3% ↗ | not reported | — | — |
| SimpleVQA | 78.2% ↗ | not reported | — | — |
| V* | 89% ↗ | not reported | — | — |
| Vision2Web | 31% ↗ | not reported | — | — |
| WebVoyager | 88.5% ↗ | not reported | — | — |
| Only GPT-6 Astra reports · 30 | ||||
| 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 ↗ | — | — |
| 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-5V-Turbo 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-5V-Turbo | GPT-6 Astra | Edge |
|---|---|---|---|
| Context window | 200K tokens | 1.1M tokens | GPT-6 Astra |
| Max output | 128K tokens | 128K tokens | Tie |
| Input price / 1M | — | $10 ↗ | — |
| Output price / 1M | — | $50 ↗ | — |
| Cached input / 1M | — | $1 ↗ | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | — | $60 | — |
| Modalities | text · vision · video | text · vision | GLM-5V-Turbo |
| Released | 2026-04-02 | 2026-09-03 | — |
| Cited benchmark scores | 18 | 39 | — |
Reliability
Provider status
Live from /statusMore matchups
GLM-5V-Turbo vs …
Models sharing the most benchmarksMore matchups
GPT-6 Astra vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run GLM-5V-Turbo and GPT-6 Astra on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.