Qwen3.6 Max Preview vs Qwen3 Max vs GLM-5.1
GLM-5.1 comes out ahead, 57 to 54 and 50 on our weighted score, and it is the cheaper option too.
Alibaba (Qwen)
Qwen3.6 Max Preview
54/100- ECI149.2
- Price$1.30 / $7.80
- Context262K
Alibaba (Qwen)
Qwen3 Max
50/100- ECI142.4
- Price$1.20 / $6.00
- Context262K
- Our pick
Z.ai (Zhipu)
GLM-5.1
57/100- ECI149.9
- Price$1.40 / $4.40
- Context200K
GLM-5.1 is our pick
GLM-5.1 is the better all-round choice, scoring 57/100 against Qwen3.6 Max Preview (54) and Qwen3 Max (50). It leads on price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGLM-5.1Capabilities Index (ECI): GLM-5.1 149.9 · Qwen3.6 Max Preview 149.2 · Qwen3 Max 142.4
- Lowest priceGLM-5.1GLM-5.1 $2.15 · Qwen3 Max $2.40 · Qwen3.6 Max Preview $2.92 per 1M tokens (3:1 blend)
- Longest contextQwen3.6 Max Preview and Qwen3 MaxQwen3.6 Max Preview 262,144 · Qwen3 Max 262,144 · GLM-5.1 200,000 tokens
- Widest inputsSame inputsQwen3.6 Max Preview: Text · Qwen3 Max: Text · GLM-5.1: Text
- Self-hostingGLM-5.1Publishes downloadable weights
| Measure | Weight | Qwen3.6 Max Preview | Qwen3 Max | GLM-5.1 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 77 | 68 | 78 |
| Price | 25% | 28 | 32 | 34 |
| Inputs & features | 15% | 35 | 25 | 45 |
| Context window | 10% | 37 | 37 | 32 |
| Overall | 100% | 54/100 | 50/100 | 57/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 149.2 | 142.4 | 149.9 (best) |
| ECI rank | #54 of 148 | #91 of 148 | #51 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 87.4% | 72.6% | 89.9% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | — | 19.0% | 36.8% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 91.1% | 73.3% | 93.3% (best) |
| SWE-bench VerifiedFixing real GitHub issues | 76.7% (best) | — | 74.2% |
| SimpleQA VerifiedShort factual questions | 52.0% (best) | 48.8% | 34.0% |
| Price per million tokens | |||
| Input | $1.30 | $1.20 (best) | $1.40 |
| Output | $7.80 | $6.00 | $4.40 (best) |
| Cached input | $0.13 (best) | — | $0.26 |
| Blended (3:1) | $2.92 | $2.40 | $2.15 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Alibaba API | Official Alibaba API | Official Z.AI API |
| Limits | |||
| Context window | 262,144 tokens (best) | 262,144 tokens (best) | 200,000 tokens |
| Max output | 65,536 tokens | 65,536 tokens | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | No | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Open |
| API model ID | qwen3.6-max-preview | qwen3-max | glm-5.1 |
| API providers | 10 | 16 | 40 (best) |
| Released | Apr 20, 2026 | Sep 23, 2025 | Apr 7, 2026 |
| Knowledge cutoff | Apr 2025 | Apr 2025 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Qwen3.6 Max Preview$28.60
Qwen3 Max$24.00
GLM-5.1$22.80
Which should you choose?
Which is better: Qwen3.6 Max Preview, Qwen3 Max or GLM-5.1?
GLM-5.1 is the better all-round choice, scoring 57/100 against Qwen3.6 Max Preview (54) and Qwen3 Max (50). It leads on price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Qwen3.6 Max Preview, Qwen3 Max or GLM-5.1?
GLM-5.1 is cheaper at $1.40 input / $4.40 output per million tokens (official Z.AI API price). Qwen3 Max costs $1.20 input / $6.00 output per million tokens (official Alibaba API price); Qwen3.6 Max Preview costs $1.30 input / $7.80 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $2.15 per million tokens for GLM-5.1 versus $2.40 for Qwen3 Max (1.1× as much) and $2.92 for Qwen3.6 Max Preview (1.4× as much).
Which scores higher on benchmarks?
GLM-5.1 scores higher on the Capabilities Index (ECI): GLM-5.1 149.9 (#51 of 148), Qwen3.6 Max Preview 149.2 (#54 of 148) and Qwen3 Max 142.4 (#91 of 148). The confidence ranges of the top two overlap (148.0–151.6 vs 147.6–152.0), so treat the gap as small. On individual benchmarks: GPQA Diamond — GLM-5.1 89.9%, Qwen3.6 Max Preview 87.4%, Qwen3 Max 72.6%; OTIS Mock AIME 2024–2025 — GLM-5.1 93.3%, Qwen3.6 Max Preview 91.1%, Qwen3 Max 73.3%; SimpleQA Verified — Qwen3.6 Max Preview 52.0%, Qwen3 Max 48.8%, GLM-5.1 34.0%.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3 Max yet, so there is no like-for-like coding score. On overall capability, GLM-5.1 leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.
Which has the bigger context window?
Qwen3.6 Max Preview and Qwen3 Max have the largest context windows (262,144 and 262,144 tokens), against 200,000 for GLM-5.1. Maximum output per response: Qwen3.6 Max Preview up to 65,536, Qwen3 Max up to 65,536, GLM-5.1 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Qwen3.6 Max Preview accepts text; Qwen3 Max accepts text; GLM-5.1 accepts text. They handle the same number of input types.
Are any of these open source?
GLM-5.1 publishes its weights and can be self-hosted; Qwen3.6 Max Preview and Qwen3 Max is proprietary.
Which is newer?
Qwen3.6 Max Preview is the newest, released Apr 20, 2026. GLM-5.1 came out Apr 7, 2026; Qwen3 Max came out Sep 23, 2025. Knowledge cutoff: Qwen3.6 Max Preview Apr 2025, Qwen3 Max Apr 2025.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.