Qwen3-Next 80B-A3B Instruct vs QVQ Max vs GLM-4.5V
GLM-4.5V comes out ahead, 49 to 40 and 39 on our weighted score.
Alibaba (Qwen)Qwen3-Next 80B-A3B Instruct
39/100- ECI—
- Price$0.50 / $2.00
- Context131K
- Alibaba (Qwen)
QVQ Max
40/100- ECI—
- Price$1.20 / $4.80
- Context131K
- Our pick
Z.ai (Zhipu)GLM-4.5V
49/100- ECI—
- Price$0.60 / $1.80
- Context64K
GLM-4.5V is our pick
GLM-4.5V is the better all-round choice, scoring 49/100 against QVQ Max (40) and Qwen3-Next 80B-A3B Instruct (39). It leads on inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceQwen3-Next 80B-A3B InstructQwen3-Next 80B-A3B Instruct $0.875 · GLM-4.5V $0.90 · QVQ Max $2.10 per 1M tokens (3:1 blend)
- Longest contextQwen3-Next 80B-A3B Instruct and QVQ MaxQwen3-Next 80B-A3B Instruct 131,072 · QVQ Max 131,072 · GLM-4.5V 64,000 tokens
- Widest inputsGLM-4.5VQwen3-Next 80B-A3B Instruct: Text · QVQ Max: Text, Images · GLM-4.5V: Text, Images, Video
- Self-hostingQwen3-Next 80B-A3B Instruct and GLM-4.5VPublishes downloadable weights
| Measure | Weight | Qwen3-Next 80B-A3B Instruct | QVQ Max | GLM-4.5V |
|---|---|---|---|---|
| Price | 50% | 53 | 35 | 52 |
| Inputs & features | 30% | 25 | 60 | 70 |
| Context window | 20% | 24 | 24 | 12 |
| Overall | 100% | 39/100 | 40/100 | 49/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Qwen3-Next 80B-A3B InstructAlibaba (Qwen) | QVQ MaxAlibaba (Qwen) | GLM-4.5VZ.ai (Zhipu) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.50 (best) | $1.20 | $0.60 |
| Output | $2.00 | $4.80 | $1.80 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $0.875 (best) | $2.10 | $0.90 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Alibaba API | Official Alibaba API | Official Z.AI API |
| Limits | |||
| Context window | 131,072 tokens (best) | 131,072 tokens (best) | 64,000 tokens |
| Max output | 32,768 tokens (best) | 8,192 tokens | 16,384 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | Yes |
| Reasoning | No | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Proprietary | Open |
| API model ID | qwen3-next-80b-a3b-instruct | qvq-max | glm-4.5v |
| API providers | 13 (best) | 1 | 11 |
| Released | Sep 2025 | Mar 25, 2025 | Aug 11, 2025 |
| Knowledge cutoff | Apr 2025 | Apr 2024 | 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-Next 80B-A3B Instruct$9.00
- QVQ Max$21.60
- GLM-4.5V$9.60
Which should you choose?
Which is better: Qwen3-Next 80B-A3B Instruct, QVQ Max or GLM-4.5V?
GLM-4.5V is the better all-round choice, scoring 49/100 against QVQ Max (40) and Qwen3-Next 80B-A3B Instruct (39). It leads on inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Qwen3-Next 80B-A3B Instruct, QVQ Max or GLM-4.5V?
Qwen3-Next 80B-A3B Instruct is cheaper at $0.50 input / $2.00 output per million tokens (official Alibaba API price). GLM-4.5V costs $0.60 input / $1.80 output per million tokens (official Z.AI API price); QVQ Max costs $1.20 input / $4.80 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.875 per million tokens for Qwen3-Next 80B-A3B Instruct versus $0.90 for GLM-4.5V (1× as much) and $2.10 for QVQ Max (2.4× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Qwen3-Next 80B-A3B Instruct has not been scored yet, QVQ Max has not been scored yet and GLM-4.5V has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3-Next 80B-A3B Instruct, QVQ Max and GLM-4.5V yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Qwen3-Next 80B-A3B Instruct and QVQ Max have the largest context windows (131,072 and 131,072 tokens), against 64,000 for GLM-4.5V. Maximum output per response: Qwen3-Next 80B-A3B Instruct up to 32,768, QVQ Max up to 8,192, GLM-4.5V up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Qwen3-Next 80B-A3B Instruct accepts text; QVQ Max accepts text and images; GLM-4.5V accepts text, images and video. GLM-4.5V handles the widest range of inputs.
Are any of these open source?
Qwen3-Next 80B-A3B Instruct and GLM-4.5V publishes its weights and can be self-hosted; QVQ Max is proprietary.
Which is newer?
Qwen3-Next 80B-A3B Instruct is the newest, released Sep 2025. GLM-4.5V came out Aug 11, 2025; QVQ Max came out Mar 25, 2025. Knowledge cutoff: Qwen3-Next 80B-A3B Instruct Apr 2025, QVQ Max Apr 2024, GLM-4.5V 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.
