GLM-4.6V-Flash vs Qwen-MT Turbo
GLM-4.6V-Flash comes out ahead, 65 to 40 on our weighted score, though Qwen-MT Turbo is 7% cheaper per token.
- Our pick
Z.ai (Zhipu)GLM-4.6V-Flash
65/100- ECI—
- Price$0.161 / $0.559
- Context128K
Alibaba (Qwen)Qwen-MT Turbo
40/100- ECI—
- Price$0.16 / $0.49
- Context16K
Add a model
Make it a three-way comparison.
GLM-4.6V-Flash is our pick
GLM-4.6V-Flash is the better all-round choice, scoring 65/100 against Qwen-MT Turbo (40). It leads on inputs & features and 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 priceQwen-MT TurboQwen-MT Turbo $0.242 · GLM-4.6V-Flash $0.261 per 1M tokens (3:1 blend)
- Longest contextGLM-4.6V-FlashGLM-4.6V-Flash 128,000 · Qwen-MT Turbo 16,384 tokens
- Widest inputsGLM-4.6V-FlashGLM-4.6V-Flash: Text, Images, Video · Qwen-MT Turbo: Text
- Self-hostingGLM-4.6V-FlashPublishes downloadable weights
| Measure | Weight | GLM-4.6V-Flash | Qwen-MT Turbo |
|---|---|---|---|
| Price | 50% | 78 | 79 |
| Inputs & features | 30% | 70 | 0 |
| Context window | 20% | 24 | 0 |
| Overall | 100% | 65/100 | 40/100 |
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-4.6V-FlashZ.ai (Zhipu) | Qwen-MT TurboAlibaba (Qwen) |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.161 | $0.16 (best) |
| Output | $0.559 | $0.49 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.261 | $0.242 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 2 providers | Official Alibaba API |
| Limits | ||
| Context window | 128,000 tokens (best) | 16,384 tokens |
| Max output | 32,768 tokens (best) | 8,192 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | Yes | No |
| Reasoning | Yes | No |
| Tool calling | Yes | No |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | glm-4.6v-flash | qwen-mt-turbo |
| API providers | 6 (best) | 1 |
| Released | Dec 8, 2025 | Jan 2025 |
| Knowledge cutoff | — | 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-4.6V-Flash$2.73
- Qwen-MT Turbo$2.58
Which should you choose?
Which is better: GLM-4.6V-Flash or Qwen-MT Turbo?
GLM-4.6V-Flash is the better all-round choice, scoring 65/100 against Qwen-MT Turbo (40). It leads on inputs & features and 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-4.6V-Flash or Qwen-MT Turbo?
Qwen-MT Turbo is cheaper at $0.16 input / $0.49 output per million tokens (official Alibaba API price). GLM-4.6V-Flash costs $0.161 input / $0.559 output per million tokens (median across 2 API providers; free on Z.AI). At a typical mix of three input tokens to one output token, that is $0.242 per million tokens for Qwen-MT Turbo versus $0.261 for GLM-4.6V-Flash (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. GLM-4.6V-Flash has not been scored yet and Qwen-MT Turbo has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GLM-4.6V-Flash and Qwen-MT Turbo yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Qwen-MT Turbo does not support tool calling, which most coding agents need.
Which has the bigger context window?
GLM-4.6V-Flash has the largest context window at 128,000 tokens, against 16,384 for Qwen-MT Turbo. Maximum output per response: GLM-4.6V-Flash up to 32,768, Qwen-MT Turbo up to 8,192 tokens.
Which can read images, PDFs, audio or video?
GLM-4.6V-Flash accepts text, images and video; Qwen-MT Turbo accepts text. GLM-4.6V-Flash handles the widest range of inputs.
Are any of these open source?
GLM-4.6V-Flash publishes its weights and can be self-hosted; Qwen-MT Turbo is proprietary.
Which is newer?
GLM-4.6V-Flash is the newest, released Dec 8, 2025. Qwen-MT Turbo came out Jan 2025. Knowledge cutoff: Qwen-MT Turbo 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 Oct 4, 2026.
