GLM-4.5V vs Qwen3-Coder 30B-A3B Instruct
GLM-4.5V comes out ahead, 49 to 41 on our weighted score.
- Our pick
Z.ai (Zhipu)
GLM-4.5V
49/100- ECI—
- Price$0.60 / $1.80
- Context64K
Alibaba (Qwen)
Qwen3-Coder 30B-A3B Instruct
41/100- ECI—
- Price$0.45 / $2.25
- Context262K
Add a model
Make it a three-way comparison.
GLM-4.5V is our pick
GLM-4.5V is the better all-round choice, scoring 49/100 against Qwen3-Coder 30B-A3B Instruct (41). It leads on inputs & features. Qwen3-Coder 30B-A3B Instruct 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 priceSame priceGLM-4.5V $0.90 · Qwen3-Coder 30B-A3B Instruct $0.90 per 1M tokens (3:1 blend)
- Longest contextQwen3-Coder 30B-A3B InstructQwen3-Coder 30B-A3B Instruct 262,144 · GLM-4.5V 64,000 tokens
- Widest inputsGLM-4.5VGLM-4.5V: Text, Images, Video · Qwen3-Coder 30B-A3B Instruct: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | GLM-4.5V | Qwen3-Coder 30B-A3B Instruct |
|---|---|---|---|
| Price | 50% | 52 | 52 |
| Inputs & features | 30% | 70 | 25 |
| Context window | 20% | 12 | 37 |
| Overall | 100% | 49/100 | 41/100 |
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 | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.60 | $0.45 (best) |
| Output | $1.80 (best) | $2.25 |
| Cached input | — | — |
| Blended (3:1) | $0.90 | $0.90 |
| Long-context rate | Same rate | Over 32K: $0.75 / $3.75 |
| Price source | Official Z.AI API | Official Alibaba API |
| Limits | ||
| Context window | 64,000 tokens | 262,144 tokens (best) |
| Max output | 16,384 tokens | 65,536 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | Yes | No |
| Reasoning | Yes | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Open |
| API model ID | glm-4.5v | qwen3-coder-30b-a3b-instruct |
| API providers | 11 | 13 (best) |
| Released | Aug 11, 2025 | Apr 2025 |
| 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.
GLM-4.5V$9.60
Qwen3-Coder 30B-A3B Instruct$9.00
Which should you choose?
Which is better: GLM-4.5V or Qwen3-Coder 30B-A3B Instruct?
GLM-4.5V is the better all-round choice, scoring 49/100 against Qwen3-Coder 30B-A3B Instruct (41). It leads on inputs & features. Qwen3-Coder 30B-A3B Instruct 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 or Qwen3-Coder 30B-A3B Instruct?
GLM-4.5V and Qwen3-Coder 30B-A3B Instruct cost the same: $0.60 input / $1.80 output per million tokens.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. GLM-4.5V has not been scored yet and Qwen3-Coder 30B-A3B Instruct has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GLM-4.5V and Qwen3-Coder 30B-A3B Instruct yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
Qwen3-Coder 30B-A3B Instruct has the largest context window at 262,144 tokens, against 64,000 for GLM-4.5V. Maximum output per response: GLM-4.5V up to 16,384, Qwen3-Coder 30B-A3B Instruct up to 65,536 tokens.
Which can read images, PDFs, audio or video?
GLM-4.5V accepts text, images and video; Qwen3-Coder 30B-A3B Instruct accepts text. GLM-4.5V handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
GLM-4.5V is the newest, released Aug 11, 2025. Qwen3-Coder 30B-A3B Instruct came out Apr 2025. Knowledge cutoff: GLM-4.5V Apr 2025, Qwen3-Coder 30B-A3B Instruct 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.