Compare / head-to-head
Claude Opus 4.6vs
GLM-5V-Turbo
Claude Opus 4.6 leads 3 of 3 shared benchmarks. Claude Opus 4.6 has the larger context window (1M tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
3 – 0
Claude Opus 4.6 leads
Cheaper per token
—
list price, input + output
Larger context
Claude Opus 4.6
1M tokens
Providers
2 providers
Anthropic · Z.ai
Claude Opus 4.6
Anthropic · released 2026-02-05
textvision
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
Quality
Benchmark matrix
3 shared · 35 only Claude Opus 4.6 · 15 only GLM-5V-Turbo| Benchmark | Claude Opus 4.6 | GLM-5V-Turbo | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 3 | ||||
| LMArena Elo | 1497.5 ↗ | 1433.5 ↗ | +64 | Claude Opus 4.6 |
| LMArena Vision (LMArena) | 1299.4 ↗ | 1230.1 ↗ | +69.3 | Claude Opus 4.6 |
| LMArena WebDev (LMArena) | 1545.9 ↗ | 1399.8 ↗ | +146.1 | Claude Opus 4.6 |
| Only Claude Opus 4.6 reports · 35 | ||||
| SWE-bench Verified | 80.8% ↗ | not reported | — | — |
| GPQA Diamond | 91.3% ↗ | not reported | — | — |
| AIME 2026 | 96.7% ↗matharena | not reported | — | — |
| APEX-Agents (Mercor) | 46.3% ↗ | not reported | — | — |
| ARC-AGI-2 (Verified) | 68.8% ↗ | not reported | — | — |
| Chess Puzzles (Epoch AI run) | 17% ↗epoch run | not reported | — | — |
| EBR-bench (Epoch AI run) | 12.7% ↗epoch run | not reported | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | 26.8% ↗epoch run | not reported | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 66% ↗epoch run | not reported | — | — |
| Furniture Assembly (Epoch AI run) | 28.3% ↗epoch run | not reported | — | — |
| GSO Opt@1 (GSO) | 37.3% ↗ | not reported | — | — |
| LiveBench Agentic Coding (LiveBench) | 49% ↗ | not reported | — | — |
| LiveBench Coding (LiveBench) | 78.2% ↗ | not reported | — | — |
| LiveBench Data Analysis (LiveBench) | 69.9% ↗ | not reported | — | — |
| LiveBench Instruction Following (LiveBench) | 63.3% ↗ | not reported | — | — |
| LiveBench Language (LiveBench) | 83.3% ↗ | not reported | — | — |
| LiveBench Mathematics (LiveBench) | 89.3% ↗ | not reported | — | — |
| LiveBench Reasoning (LiveBench) | 88.7% ↗ | not reported | — | — |
| MCP Atlas | 59.5% ↗ | not reported | — | — |
| MMMLU | 91.1% ↗ | not reported | — | — |
| MMMU-Pro (no tools) | 73.9% ↗ | not reported | — | — |
| MMMU-Pro (with tools) | 77.3% ↗ | not reported | — | — |
| Mystery Game Puzzles (Epoch AI run) | 25% ↗epoch run | not reported | — | — |
| OSWorld-Verified | 72.7% ↗ | not reported | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 94.4% ↗epoch run | not reported | — | — |
| SAGE (Vals AI) | 51.6% ↗ | not reported | — | — |
| SimpleBench (SimpleBench) | 67.6% ↗ | not reported | — | — |
| SimpleQA Verified | 47% ↗epoch run | not reported | — | — |
| SWE-bench Verified (Epoch AI run) | 78.7% ↗epoch run | not reported | — | — |
| tau2-bench Banking Knowledge (Sierra) | 27.3% ↗ | not reported | — | — |
| Tau2-bench Retail | 91.9% ↗ | not reported | — | — |
| Tau2-bench Telecom | 99.3% ↗ | not reported | — | — |
| Terminal-Bench 2.0 | 65.4% ↗ | not reported | — | — |
| Vending-Bench 2 (Andon Labs) | 8017.59 ↗ | not reported | — | — |
| WeirdML (Håvard Tveit Ihle) | 78% ↗ | not reported | — | — |
| Only GLM-5V-Turbo reports · 15 | ||||
| AndroidWorld | not reported | 75.7% ↗ | — | — |
| BrowseComp-VL | not reported | 51.9% ↗ | — | — |
| CC-Backend | not reported | 22.8% ↗ | — | — |
| CC-Frontend | not reported | 68.4% ↗ | — | — |
| CC-Repo-Exploration | not reported | 72.2% ↗ | — | — |
| Design2Code | not reported | 94.8% ↗ | — | — |
| Flame-VLM-Code | not reported | 93.8% ↗ | — | — |
| ImageMining | not reported | 30.7% ↗ | — | — |
| MMSearch | not reported | 72.9% ↗ | — | — |
| MMSearch-Plus | not reported | 30% ↗ | — | — |
| OSWorld | not reported | 62.3% ↗ | — | — |
| SimpleVQA | not reported | 78.2% ↗ | — | — |
| V* | not reported | 89% ↗ | — | — |
| Vision2Web | not reported | 31% ↗ | — | — |
| WebVoyager | not reported | 88.5% ↗ | — | — |
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 Claude Opus 4.6 minus GLM-5V-Turbo 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 | Claude Opus 4.6 | GLM-5V-Turbo | Edge |
|---|---|---|---|
| Context window | 1M tokens | 200K tokens | Claude Opus 4.6 |
| Max output | 128K tokens | 128K tokens | Tie |
| Input price / 1M | $5 ↗ | — | — |
| Output price / 1M | $25 ↗ | — | — |
| Cached input / 1M | $0.5 ↗ | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $30 | — | — |
| Modalities | text · vision | text · vision · video | GLM-5V-Turbo |
| Released | 2026-02-05 | 2026-04-02 | — |
| Cited benchmark scores | 46 | 18 | — |
Reliability
Provider status
Live from /statusMore matchups
Claude Opus 4.6 vs …
Models sharing the most benchmarksMore matchups
GLM-5V-Turbo vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run Claude Opus 4.6 and GLM-5V-Turbo on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.