Compare / head-to-head
GLM-4.7-FlashvsLlama 3.3 70B Instruct
GLM-4.7-Flash leads 3 of 3 shared benchmarks. GLM-4.7-Flash has the larger context window (200K tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
3 – 0
GLM-4.7-Flash leads
Cheaper per token
—
list price, input + output
Larger context
GLM-4.7-Flash
200K tokens
Provider uptime (30d)
— · —
Z.ai · Meta
GLM-4.7-Flash
Z.ai
text
Llama 3.3 70B Instruct
Meta · released 2024-12-06
text
- Context
- 131K
- Max out
- —
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 5 · 4 core
Quality
Benchmark matrix
3 shared · 0 only GLM-4.7-Flash · 1 only Llama 3.3 70B Instruct| Benchmark | GLM-4.7-Flash | Llama 3.3 70B Instruct | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 3 | ||||
| GPQA Diamond | 60.5% ↗epoch | 50.5% ↗ | +10 pt | GLM-4.7-Flash |
| LMArena Elo | 1352.2 ↗ | 1274 ↗ | +78.2 | GLM-4.7-Flash |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 58.3% ↗epoch | 5.1% ↗epoch | +53.2 pt | GLM-4.7-Flash |
| Only GLM-4.7-Flash reports · 0 | ||||
| GLM-4.7-Flash reports nothing Llama 3.3 70B Instruct does not. | ||||
| Only Llama 3.3 70B Instruct reports · 1 | ||||
| MMLU-Pro | not reported | 68.9% ↗ | — | — |
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-4.7-Flash minus Llama 3.3 70B Instruct 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-4.7-Flash | Llama 3.3 70B Instruct | Edge |
|---|---|---|---|
| Context window | 200K tokens | 131K tokens | GLM-4.7-Flash |
| Max output | 131K tokens | — | — |
| Input price / 1M | $0 ↗ | — | — |
| Output price / 1M | $0 ↗ | — | — |
| Cached input / 1M | $0 ↗ | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $0 | — | — |
| Modalities | text | text | Tie |
| Released | — | 2024-12-06 | — |
| Cited benchmark scores | 3 | 5 | — |
Reliability
Provider status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
GLM-4.7-Flash vs …
Models sharing the most benchmarksMore matchups
Llama 3.3 70B Instruct vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run GLM-4.7-Flash and Llama 3.3 70B Instruct on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.