Compare
Four models, one page
Pick the models you are actually choosing between. Every row is scaled within itself, so a bar means something next to its neighbours and nothing across rows.
| Specification | GLM 5V TurboZ.ai | Claude Opus 5Anthropic |
|---|---|---|
| Released | Apr 1, 2026 | Jul 24, 2026 |
| Context window | 203K | 1M |
| Max output | 131K | 128K |
| Input / 1M | $1.2 | $5 |
| Output / 1M | $4 | $25 |
| Cost per task | $0.38 | $2.25 |
| Arena Elo | 1,265 | 1,393 |
| Serving providers | 1 | 5 |
| Parameters | Undisclosed | Undisclosed |
| Licence | Proprietary | Proprietary |
| Capabilities |
|
|
Metrics side by side
Each row is scaled to the largest value in that row — bars compare within a row, never across rows
- GLM 5V Turbo
- Claude Opus 5
Intelligence Index
GLM 5V Turbo35.3Claude Opus 563.1Coding Index
GLM 5V Turbonot measuredClaude Opus 578.0Agentic Index
GLM 5V Turbonot measuredClaude Opus 559.2Output speed
GLM 5V Turbo37 t/sClaude Opus 587 t/sContext window
GLM 5V Turbo203KClaude Opus 51MLatency · lower is better
GLM 5V Turbo4.96sClaude Opus 51.12sBlended price / 1M · lower is better
GLM 5V Turbo$1.9Claude Opus 5$10Cost per task · lower is better
GLM 5V Turbo$0.38Claude Opus 5$2.25
Rows marked “lower is better” still draw a longer bar for a larger number — read the value, not just the length. Arena Elo is in the specification table above instead: it has no meaningful zero, so a bar would flatten the gaps.
View as table
| Metric | GLM 5V Turbo | Claude Opus 5 |
|---|---|---|
| Intelligence Index | 35.3 | 63.1 |
| Coding Index | — | 78.0 |
| Agentic Index | — | 59.2 |
| Output speed | 37 t/s | 87 t/s |
| Context window | 203K | 1M |
| Latency · lower is better | 4.96s | 1.12s |
| Blended price / 1M · lower is better | $1.9 | $10 |
| Cost per task · lower is better | $0.38 | $2.25 |
Evaluation scores
Percentage correct on a common 0–100% scale
- GLM 5V Turbo
- Claude Opus 5
GPQA Diamond
GLM 5V Turbo80.9%Claude Opus 593.2%Humanity's Last Exam
GLM 5V Turbo17.1%Claude Opus 554.9%SciCode
GLM 5V Turbo43.5%Claude Opus 555.7%τ²-bench
GLM 5V Turbo98.5%Claude Opus 542.1%Terminal-Bench Hard
GLM 5V Turbo32.6%Claude Opus 5not measuredAA-LCR long context
GLM 5V Turbo65.7%Claude Opus 575.7%
A missing bar means that evaluation was not run for that model — it is not a zero.
View as table
| Evaluation | GLM 5V Turbo | Claude Opus 5 |
|---|---|---|
| GPQA Diamond | 80.9% | 93.2% |
| Humanity's Last Exam | 17.1% | 54.9% |
| SciCode | 43.5% | 55.7% |
| τ²-bench | 98.5% | 42.1% |
| Terminal-Bench Hard | 32.6% | — |
| LiveCodeBench | — | — |
| AA-LCR long context | 65.7% | 75.7% |
| AIME 2025 | — | — |
Estimated from list pricing: 50K input tokens plus 80K output tokens for reasoning models (25K for non-reasoning).