GLM-4.7-FlashX vs GLM-4.6V-Flash
GLM-4.6V-Flash comes out ahead, 65 to 61 on our weighted score, though GLM-4.7-FlashX is 41% cheaper per token.
Z.ai (Zhipu)GLM-4.7-FlashX
61/100- ECI—
- Price$0.07 / $0.40
- Context200K
- Our pickZ.ai (Zhipu)
GLM-4.6V-Flash
65/100- ECI—
- Price$0.161 / $0.559
- Context128K
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 GLM-4.7-FlashX (61). It leads on inputs & features. GLM-4.7-FlashX wins on price 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 priceGLM-4.7-FlashXGLM-4.7-FlashX $0.152 · GLM-4.6V-Flash $0.261 per 1M tokens (3:1 blend)
- Longest contextGLM-4.7-FlashXGLM-4.7-FlashX 200,000 · GLM-4.6V-Flash 128,000 tokens
- Widest inputsGLM-4.6V-FlashGLM-4.7-FlashX: Text · GLM-4.6V-Flash: Text, Images, Video
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | GLM-4.7-FlashX | GLM-4.6V-Flash |
|---|---|---|---|
| Price | 50% | 89 | 78 |
| Inputs & features | 30% | 35 | 70 |
| Context window | 20% | 32 | 24 |
| Overall | 100% | 61/100 | 65/100 |
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-4.7-FlashXZ.ai (Zhipu) | GLM-4.6V-FlashZ.ai (Zhipu) |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.07 (best) | $0.161 |
| Output | $0.40 (best) | $0.559 |
| Cached input | $0.01 | — |
| Blended (3:1) | $0.152 (best) | $0.261 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Z.AI API | Median of 2 providers |
| Limits | ||
| Context window | 200,000 tokens (best) | 128,000 tokens |
| Max output | 131,072 tokens (best) | 32,768 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | Yes |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Open |
| API model ID | glm-4.7-flashx | glm-4.6v-flash |
| API providers | 8 (best) | 6 |
| Released | Jan 19, 2026 | Dec 8, 2025 |
| Knowledge cutoff | 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-4.7-FlashX$1.50
- GLM-4.6V-Flash$2.73
Which should you choose?
Which is better: GLM-4.7-FlashX or GLM-4.6V-Flash?
GLM-4.6V-Flash is the better all-round choice, scoring 65/100 against GLM-4.7-FlashX (61). It leads on inputs & features. GLM-4.7-FlashX wins on price 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-4.7-FlashX or GLM-4.6V-Flash?
GLM-4.7-FlashX is cheaper at $0.07 input / $0.40 output per million tokens (official Z.AI 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 $0.152 per million tokens for GLM-4.7-FlashX versus $0.261 for GLM-4.6V-Flash (1.7× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. GLM-4.7-FlashX has not been scored yet and GLM-4.6V-Flash has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GLM-4.7-FlashX and GLM-4.6V-Flash 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?
GLM-4.7-FlashX has the largest context window at 200,000 tokens, against 128,000 for GLM-4.6V-Flash. Maximum output per response: GLM-4.7-FlashX up to 131,072, GLM-4.6V-Flash up to 32,768 tokens.
Which can read images, PDFs, audio or video?
GLM-4.7-FlashX accepts text; GLM-4.6V-Flash accepts text, images and video. GLM-4.6V-Flash 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-4.7-FlashX is the newest, released Jan 19, 2026. GLM-4.6V-Flash came out Dec 8, 2025. Knowledge cutoff: GLM-4.7-FlashX 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.
