Claude Opus 4.8 vs GLM 5.3
Price, context window & benchmark comparison
VS
Compare different models
Verdict: GLM 5.3 is 7.8× cheaper than Claude Opus 4.8 on a typical 3:1 input/output mix. GLM 5.3 scores higher on the Artificial Analysis Intelligence Index (44.8 vs 41.8). GLM 5.3 has the larger context window (1.3M vs 1M).
| Claude Opus 4.8 | GLM 5.3 | |
|---|---|---|
| Input price / 1M | $5.00 | $0.84 |
| Output price / 1M | $25.00 | $2.64 |
| Blended price (3:1) | $10.00 | $1.29 |
| Cached input / 1M | $0.50 | $0.16 |
| Context window | 1M | 1.3M |
| Max output | 128K | 131K |
| Intelligence index | 41.8 | 44.8 |
| Coding index | 74.3 | 74.8 |
| Providers | 11 | 34 |
| Best provider uptime (30m) | 100.0% | 100.0% |
| Vision input | Yes | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Released | 2026-05-27 | 2026-08-18 |
| Retirement | — | — |
Cost calculator
FAQ
Which is cheaper, Claude Opus 4.8 or GLM 5.3?
GLM 5.3 is 7.8× cheaper than Claude Opus 4.8 on a typical 3:1 input/output mix.
Claude Opus 4.8 vs GLM 5.3: which has a bigger context window?
Claude Opus 4.8: 1,000,000 tokens. GLM 5.3: 1,310,720 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: Claude Opus 4.8 ≈ $22,500, GLM 5.3 ≈ $3,000.
More comparisons
Claude Opus 4.8 vs GLM 5.3 PrimeClaude Opus 4.8 vs Qwen3.8 Max PrimeClaude Opus 4.8 vs Command A+Claude Opus 4.8 vs GPT-6 Luna ProClaude Opus 4.8 vs GPT-6 LunaClaude Opus 4.8 vs GPT-6 Sol ProClaude Opus 4.8 vs GPT-6 SolClaude Opus 4.8 vs Claude Opus 5.5Claude Opus 4.8 vs MiMo-V2.6-Pro-UltraSpeedClaude Opus 4.8 vs MiMo-V2.6-FlashClaude Opus 4.8 vs Grok 4.7Claude Opus 4.8 vs Qwen3.8 Omni FlashClaude Opus 4.8 vs GLM 5.3 FlashXClaude Opus 4.8 vs DeepSeek V4.1 FlashClaude Opus 4.8 vs GPT-6 AstraClaude Opus 4.8 vs GPT-6 Astra ProGLM 5.3 vs GLM 5.3 PrimeGLM 5.3 vs Qwen3.8 Max PrimeGLM 5.3 vs Command A+GLM 5.3 vs GPT-6 Luna ProGLM 5.3 vs GPT-6 LunaGLM 5.3 vs GPT-6 Sol ProGLM 5.3 vs GPT-6 SolGLM 5.3 vs Claude Opus 5.5