GLM 5.3 Prime vs Llama 3.1 Euryale 70B v2.2
Price, context window & benchmark comparison
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Verdict: Llama 3.1 Euryale 70B v2.2 is 5.1× cheaper than GLM 5.3 Prime on a typical 3:1 input/output mix. GLM 5.3 Prime has the larger context window (1M vs 131K).
| GLM 5.3 Prime | Llama 3.1 Euryale 70B v2.2 | |
|---|---|---|
| Input price / 1M | $2.80 | $0.85 |
| Output price / 1M | $8.80 | $0.85 |
| Blended price (3:1) | $4.30 | $0.85 |
| Cached input / 1M | $0.56 | — |
| Context window | 1M | 131K |
| Max output | 131K | 16K |
| Intelligence index | — | — |
| Coding index | — | — |
| Providers | 1 | — |
| Best provider uptime (30m) | 100.0% | — |
| Vision input | No | No |
| Reasoning | Yes | No |
| Tool calling | Yes | Yes |
| Released | 2026-09-23 | 2024-08-28 |
| Retirement | — | — |
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FAQ
Which is cheaper, GLM 5.3 Prime or Llama 3.1 Euryale 70B v2.2?
Llama 3.1 Euryale 70B v2.2 is 5.1× cheaper than GLM 5.3 Prime on a typical 3:1 input/output mix.
GLM 5.3 Prime vs Llama 3.1 Euryale 70B v2.2: which has a bigger context window?
GLM 5.3 Prime: 1,000,000 tokens. Llama 3.1 Euryale 70B v2.2: 131,072 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: GLM 5.3 Prime ≈ $10,000, Llama 3.1 Euryale 70B v2.2 ≈ $2,125.
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