GLM-4.5V vs Morph V3 Fast vs Qwen2.5-VL 72B Instruct
GLM-4.5V comes out ahead, 48 to 44 and 32 on our weighted score.
- Our pick
Z.ai (Zhipu)GLM-4.5V
48/100- ECI—
- Price$0.60 / $1.80
- Context64K
Morph
Morph V3 Fast
32/100- ECI—
- Price$0.80 / $1.20
- Context262K
Alibaba (Qwen)Qwen2.5-VL 72B Instruct
44/100- ECI—
- Price$0.905 / $1.00
- Context131K
GLM-4.5V is our pick
GLM-4.5V is the better all-round choice, scoring 48/100 against Qwen2.5-VL 72B Instruct (44) and Morph V3 Fast (32). It leads on inputs & features. Morph V3 Fast wins on context window. 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 priceGLM-4.5V and Morph V3 FastGLM-4.5V $0.90 · Morph V3 Fast $0.90 · Qwen2.5-VL 72B Instruct $0.93 per 1M tokens (3:1 blend)
- Longest contextMorph V3 FastMorph V3 Fast 262,144 · Qwen2.5-VL 72B Instruct 131,072 · GLM-4.5V 64,000 tokens
- Widest inputsGLM-4.5VGLM-4.5V: Text, Images, Video · Morph V3 Fast: Text · Qwen2.5-VL 72B Instruct: Text, Images
- Self-hostingGLM-4.5V and Qwen2.5-VL 72B InstructPublishes downloadable weights
| Measure | Weight | GLM-4.5V | Morph V3 Fast | Qwen2.5-VL 72B Instruct |
|---|---|---|---|---|
| Price | 50% | 50 | 50 | 49 |
| Inputs & features | 30% | 70 | 0 | 50 |
| Context window | 20% | 12 | 37 | 25 |
| Overall | 100% | 48/100 | 32/100 | 44/100 |
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 | GLM-4.5VZ.ai (Zhipu) | Morph V3 FastMorph | Qwen2.5-VL 72B InstructAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.60 (best) | $0.80 | $0.905 |
| Output | $1.80 | $1.20 | $1.00 (best) |
| Cached input | $0.11 | — | — |
| Blended (3:1) | $0.90 (best) | $0.90 (best) | $0.93 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Z.AI API | Median of 5 providers | Median of 6 providers |
| Limits | |||
| Context window | 64,000 tokens | 262,144 tokens (best) | 131,072 tokens |
| Max output | 16,384 tokens | 131,072 tokens (best) | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | Yes | No | No |
| Reasoning | Yes | No | No |
| Tool calling | Yes | No | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Proprietary | Open |
| API model ID | glm-4.5v | — | — |
| API providers | 17 (best) | 5 | 6 |
| Released | Aug 11, 2025 | Jul 7, 2025 | Jan 26, 2025 |
| Knowledge cutoff | Apr 2025 | — | Apr 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- GLM-4.5V$9.60
- Morph V3 Fast$10.40
- Qwen2.5-VL 72B Instruct$11.06
Which should you choose?
Which is better: GLM-4.5V, Morph V3 Fast or Qwen2.5-VL 72B Instruct?
GLM-4.5V is the better all-round choice, scoring 48/100 against Qwen2.5-VL 72B Instruct (44) and Morph V3 Fast (32). It leads on inputs & features. Morph V3 Fast wins on context window. 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, GLM-4.5V, Morph V3 Fast or Qwen2.5-VL 72B Instruct?
GLM-4.5V is cheaper at $0.60 input / $1.80 output per million tokens (official Z.AI API price). Morph V3 Fast costs $0.80 input / $1.20 output per million tokens (median across 5 API providers); Qwen2.5-VL 72B Instruct costs $0.905 input / $1.00 output per million tokens (median across 6 API providers). At a typical mix of three input tokens to one output token, that is $0.90 per million tokens for GLM-4.5V versus $0.90 for Morph V3 Fast (1× as much) and $0.93 for Qwen2.5-VL 72B Instruct (1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. GLM-4.5V has not been scored yet, Morph V3 Fast has not been scored yet and Qwen2.5-VL 72B Instruct has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GLM-4.5V, Morph V3 Fast and Qwen2.5-VL 72B Instruct yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Morph V3 Fast does not support tool calling, which most coding agents need.
Which has the bigger context window?
Morph V3 Fast has the largest context window at 262,144 tokens, against 131,072 for Qwen2.5-VL 72B Instruct and 64,000 for GLM-4.5V. Maximum output per response: GLM-4.5V up to 16,384, Morph V3 Fast up to 131,072, Qwen2.5-VL 72B Instruct up to 8,192 tokens.
Which can read images, PDFs, audio or video?
GLM-4.5V accepts text, images and video; Morph V3 Fast accepts text; Qwen2.5-VL 72B Instruct accepts text and images. GLM-4.5V handles the widest range of inputs.
Are any of these open source?
GLM-4.5V and Qwen2.5-VL 72B Instruct publishes its weights and can be self-hosted; Morph V3 Fast is proprietary.
Which is newer?
GLM-4.5V is the newest, released Aug 11, 2025. Morph V3 Fast came out Jul 7, 2025; Qwen2.5-VL 72B Instruct came out Jan 26, 2025. Knowledge cutoff: GLM-4.5V Apr 2025, Qwen2.5-VL 72B Instruct Apr 2024.
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 Nov 2, 2026.
