Qwen2.5-Max vs GLM-4-Plus
Qwen vs Zhipu AI · Prices checked 12 August 2026
Qwen2.5-Max is the cheaper of the two by a wide margin: $3.04 per million tokens blended against $7.00, roughly 2.3× less. A single 100K-input, 10K-output job costs $0.224 on Qwen2.5-Max against $0.770 on GLM-4-Plus.
Qwen2.5-Max leads on 5 of the 5 benchmarks both models report. The widest gap is on LMArena Elo, where Qwen2.5-Max leads by 52 points. GLM-4-Plus takes a 128,000-token context window against 32,000, giving 4× more room for long documents or whole-codebase work.
Pricing and capacity
| Metric | Qwen2.5-Max | GLM-4-Plus | Difference |
|---|---|---|---|
| Input / 1M tokens | $1.60 | $7.00 | 4.4× |
| Output / 1M tokens | $6.40 | $7.00 | 9% |
| Blended · 70/30calculated | $3.04 | $7.00 | 2.3× |
| Blended · 50/50calculated | $4.00 | $7.00 | 43% |
| Blended · 80/20calculated | $2.56 | $7.00 | 2.7× |
| Blended · 20/80calculated | $5.44 | $7.00 | 22% |
| Job cost · 100K + 10Kcalculated | $0.224 | $0.770 | 3.4× |
| Job cost · 1M + 100Kcalculated | $2.24 | $7.70 | 3.4× |
| Context window | 32,000 | 128,000 | 4.0× |
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 | Qwen2.5-Max | GLM-4-Plus | Leader |
|---|---|---|---|
| MMLU | 87% | 84% | Qwen2.5-Max |
| GPQA Diamond | 60% | 51% | Qwen2.5-Max |
| MATH | 85% | 70% | Qwen2.5-Max |
| HumanEval | 90% | 80% | Qwen2.5-Max |
| LMArena Elo | 1296 Elo | 1244 Elo | Qwen2.5-Max |
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
Qwen2.5-Max
Qwen · Flagship
Alibaba's closed-weights flagship. Frontier-quality MoE that competes with Claude / GPT on Chinese benchmarks at competitive pricing.
- Frontier on Chinese benchmarks
- MoE inference economics
- Strong tool use
- Multilingual
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, Qwen2.5-Max or GLM-4-Plus?
Qwen2.5-Max is the cheaper of the two by a wide margin: $3.04 per million tokens blended against $7.00, roughly 2.3× less. A single 100K-input, 10K-output job costs $0.224 on Qwen2.5-Max 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, Qwen2.5-Max or GLM-4-Plus?
Qwen2.5-Max leads on 5 of the 5 benchmarks both models report. The widest gap is on LMArena Elo, where Qwen2.5-Max leads by 52 points. 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, Qwen2.5-Max or GLM-4-Plus?
GLM-4-Plus takes a 128,000-token context window against 32,000, giving 4× more room for long documents or whole-codebase work. 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 Qwen2.5-Max 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.