GLM-5V-Turbo vs GLM-5
GLM-5V-Turbo comes out ahead, 49 to 37 on our weighted score, though GLM-5 is 18% cheaper per token.
- Our pick
Z.ai (Zhipu)GLM-5V-Turbo
49/100- ECI—
- Price$1.20 / $4.00
- Context200K
- Z.ai (Zhipu)
GLM-5
37/100- ECI145.8
- Price$1.00 / $3.20
- Context205K
Add a model
Make it a three-way comparison.
GLM-5V-Turbo is our pick
GLM-5V-Turbo is the better all-round choice, scoring 49/100 against GLM-5 (37). It leads on inputs & features. GLM-5 wins on price. 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-5GLM-5 $1.55 · GLM-5V-Turbo $1.90 per 1M tokens (3:1 blend)
- Longest contextGLM-5GLM-5 204,800 · GLM-5V-Turbo 200,000 tokens
- Widest inputsGLM-5V-TurboGLM-5V-Turbo: Text, Images, PDFs, Video · GLM-5: Text
- Self-hostingGLM-5Publishes downloadable weights
| Measure | Weight | GLM-5V-Turbo | GLM-5 |
|---|---|---|---|
| Price | 50% | 37 | 41 |
| Inputs & features | 30% | 80 | 35 |
| Context window | 20% | 32 | 32 |
| Overall | 100% | 49/100 | 37/100 |
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-5V-TurboZ.ai (Zhipu) | GLM-5Z.ai (Zhipu) |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | 145.8 |
| ECI rank | — | #74 of 148 |
| GPQA DiamondGraduate-level science questions | — | 87.8% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 80.0% |
| SWE-bench VerifiedFixing real GitHub issues | — | 72.1% |
| Price per million tokens | ||
| Input | $1.20 | $1.00 (best) |
| Output | $4.00 | $3.20 (best) |
| Cached input | $0.24 | $0.20 (best) |
| Blended (3:1) | $1.90 | $1.55 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Z.AI API | Official Z.AI API |
| Limits | ||
| Context window | 200,000 tokens | 204,800 tokens (best) |
| Max output | 131,072 tokens | 131,072 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | Yes | No |
| Audio | No | No |
| Video | Yes | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | glm-5v-turbo | glm-5 |
| API providers | 14 | 27 (best) |
| Released | Apr 1, 2026 | Feb 12, 2026 |
| Knowledge cutoff | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- GLM-5V-Turbo$20.00
- GLM-5$16.40
Which should you choose?
Which is better: GLM-5V-Turbo or GLM-5?
GLM-5V-Turbo is the better all-round choice, scoring 49/100 against GLM-5 (37). It leads on inputs & features. GLM-5 wins on price. 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-5V-Turbo or GLM-5?
GLM-5 is cheaper at $1.00 input / $3.20 output per million tokens (official Z.AI API price). GLM-5V-Turbo costs $1.20 input / $4.00 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $1.55 per million tokens for GLM-5 versus $1.90 for GLM-5V-Turbo (1.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. GLM-5V-Turbo has not been scored yet and GLM-5 has an ECI of 145.8.
Which is better for coding?
There are no published SWE-bench Verified results for GLM-5V-Turbo 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-5 has the largest context window at 204,800 tokens, against 200,000 for GLM-5V-Turbo. Maximum output per response: GLM-5V-Turbo up to 131,072, GLM-5 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
GLM-5V-Turbo accepts text, images, PDFs and video; GLM-5 accepts text. GLM-5V-Turbo handles the widest range of inputs.
Are any of these open source?
GLM-5 publishes its weights and can be self-hosted; GLM-5V-Turbo is proprietary.
Which is newer?
GLM-5V-Turbo is the newest, released Apr 1, 2026. GLM-5 came out Feb 12, 2026.
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.
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