Llama 3.1 405B vs GLM-4-Plus
Meta vs Zhipu AI · Prices checked 12 August 2026
On blended cost Llama 3.1 405B undercuts GLM-4-Plus by about 8.8×: $0.800 per million tokens versus $7.00. A single 100K-input, 10K-output job costs $0.088 on Llama 3.1 405B against $0.770 on GLM-4-Plus.
Of the 5 shared benchmarks, Llama 3.1 405B takes 4. The widest gap is on LMArena Elo, where Llama 3.1 405B leads by 46 points. 1 suite tied. Context is level at 128,000 tokens on each side.
Pricing and capacity
| Metric | Llama 3.1 405B | GLM-4-Plus | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.800 | $7.00 | 8.8× |
| Output / 1M tokens | $0.800 | $7.00 | 8.8× |
| Blended · 70/30calculated | $0.800 | $7.00 | 8.8× |
| Blended · 50/50calculated | $0.800 | $7.00 | 8.8× |
| Blended · 80/20calculated | $0.800 | $7.00 | 8.8× |
| Blended · 20/80calculated | $0.800 | $7.00 | 8.8× |
| Job cost · 100K + 10Kcalculated | $0.088 | $0.770 | 8.7× |
| Job cost · 1M + 100Kcalculated | $0.880 | $7.70 | 8.7× |
| Context window | 128,000 | 128,000 | level |
Input and output rates are as published by each provider. Blended and job-cost rows are calculated comparison metrics, not published prices — how they are derived.
Benchmarks
| Benchmark | Llama 3.1 405B | GLM-4-Plus | Leader |
|---|---|---|---|
| MMLU | 88% | 84% | Llama 3.1 405B |
| GPQA Diamond | 51% | 51% | Level |
| MATH | 73% | 70% | Llama 3.1 405B |
| HumanEval | 89% | 80% | Llama 3.1 405B |
| LMArena Elo | 1290 Elo | 1244 Elo | Llama 3.1 405B |
Only suites both models report are listed, so a missing score is never shown as a loss. Figures are provider-published or from public leaderboards and are not independently re-run.
What each model is for
Llama 3.1 405B
Meta · Large
Largest dense Llama. Used as a quality benchmark for open weights, heavy to run, often hosted via Together / DeepInfra / Cerebras.
- Top open-weights quality
- Permissive license
- Strong reasoning
GLM-4-Plus
Zhipu AI · Frontier
Zhipu's flagship GLM-4. Strong on Chinese-language benchmarks, with frontier-class reasoning at competitive Chinese pricing.
- Strong on Chinese benchmarks
- Tool use
- 128K context
- Tightly integrated with Zhipu cloud
Frequently asked questions
Which is cheaper, Llama 3.1 405B or GLM-4-Plus?
On blended cost Llama 3.1 405B undercuts GLM-4-Plus by about 8.8×: $0.800 per million tokens versus $7.00. A single 100K-input, 10K-output job costs $0.088 on Llama 3.1 405B against $0.770 on GLM-4-Plus. Blended cost weights input at 70% and output at 30%; price your own token split for an exact answer, since the cheaper model on a blended basis is not always cheaper for your workload.
Which performs better, Llama 3.1 405B or GLM-4-Plus?
Of the 5 shared benchmarks, Llama 3.1 405B takes 4. The widest gap is on LMArena Elo, where Llama 3.1 405B leads by 46 points. 1 suite tied. These are the figures each provider or public leaderboard publishes, not results we re-run, and a benchmark average can hide the specific behaviour your workload depends on.
Which has the larger context window, Llama 3.1 405B or GLM-4-Plus?
Context is level at 128,000 tokens on each side. The context window caps everything in a single request: prompt, retrieved documents, conversation history and the model’s own output all share it.
Can I compare Llama 3.1 405B and GLM-4-Plus on my own numbers?
Yes. Open both in the side-by-side comparison tool to see every field at once, or use the token calculator to price your actual prompt and monthly request volume against each model. Both are free and need no sign-up.
Price it for your own workload
Related matchups
Terms used on this page
Prices and scores are recomputed on every deploy from the catalogue. Prices checked 12 August 2026.