GLM-5.1 vs GLM-5V-Turbo
GLM-5V-Turbo comes out ahead, 49 to 37 on our weighted score, and it is the cheaper option too.
Z.ai (Zhipu)GLM-5.1
37/100- ECI149.9
- Price$1.40 / $4.40
- Context200K
- Our pickZ.ai (Zhipu)
GLM-5V-Turbo
49/100- ECI—
- Price$1.20 / $4.00
- Context200K
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-5.1 (37). It leads on price and inputs & features. 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-5V-TurboGLM-5V-Turbo $1.90 · GLM-5.1 $2.15 per 1M tokens (3:1 blend)
- Longest contextAbout the sameGLM-5.1 200,000 · GLM-5V-Turbo 200,000 tokens
- Widest inputsGLM-5V-TurboGLM-5.1: Text · GLM-5V-Turbo: Text, Images, PDFs, Video
- Self-hostingGLM-5.1Publishes downloadable weights
| Measure | Weight | GLM-5.1 | GLM-5V-Turbo |
|---|---|---|---|
| Price | 50% | 34 | 37 |
| Inputs & features | 30% | 45 | 80 |
| Context window | 20% | 32 | 32 |
| Overall | 100% | 37/100 | 49/100 |
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-5.1Z.ai (Zhipu) | GLM-5V-TurboZ.ai (Zhipu) |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 149.9 | — |
| ECI rank | #51 of 148 | — |
| GPQA DiamondGraduate-level science questions | 89.9% | — |
| FrontierMath Tiers 1–3Research-level mathematics | 36.8% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 93.3% | — |
| SWE-bench VerifiedFixing real GitHub issues | 74.2% | — |
| SimpleQA VerifiedShort factual questions | 34.0% | — |
| Price per million tokens | ||
| Input | $1.40 | $1.20 (best) |
| Output | $4.40 | $4.00 (best) |
| Cached input | $0.26 | $0.24 (best) |
| Blended (3:1) | $2.15 | $1.90 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Z.AI API | Official Z.AI API |
| Limits | ||
| Context window | 200,000 tokens | 200,000 tokens |
| Max output | 131,072 tokens | 131,072 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | Yes |
| Audio | No | No |
| Video | No | Yes |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | Yes | No |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | glm-5.1 | glm-5v-turbo |
| API providers | 40 (best) | 14 |
| Released | Apr 7, 2026 | Apr 1, 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-5.1$22.80
- GLM-5V-Turbo$20.00
Which should you choose?
Which is better: GLM-5.1 or GLM-5V-Turbo?
GLM-5V-Turbo is the better all-round choice, scoring 49/100 against GLM-5.1 (37). It leads on price and inputs & features. 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-5.1 or GLM-5V-Turbo?
GLM-5V-Turbo is cheaper at $1.20 input / $4.00 output per million tokens (official Z.AI API price). GLM-5.1 costs $1.40 input / $4.40 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $1.90 per million tokens for GLM-5V-Turbo versus $2.15 for GLM-5.1 (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. GLM-5.1 has an ECI of 149.9 and GLM-5V-Turbo has not been scored yet.
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-5.1 and GLM-5V-Turbo share the same 200,000-token context window. Maximum output per response: GLM-5.1 up to 131,072, GLM-5V-Turbo up to 131,072 tokens.
Which can read images, PDFs, audio or video?
GLM-5.1 accepts text; GLM-5V-Turbo accepts text, images, PDFs and video. GLM-5V-Turbo handles the widest range of inputs.
Are any of these open source?
GLM-5.1 publishes its weights and can be self-hosted; GLM-5V-Turbo is proprietary.
Which is newer?
GLM-5.1 is the newest, released Apr 7, 2026. GLM-5V-Turbo came out Apr 1, 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.
Related comparisons
- Add Kimi K2.7 CodeThree-way comparison
- GLM-5.1 vs Kimi K2.7 CodeMoonshot AI · ECI 150.0
- GLM-5.1 vs Qwen3.6 Max PreviewAlibaba (Qwen) · ECI 149.2
- GLM-5.1 vs Grok 4.3xAI · ECI 149.2
- GLM-5.1 vs GPT-5.4 miniOpenAI · ECI 148.8
- GLM-5V-Turbo vs Gemini Robotics-ER 1.6 PreviewGoogle
- GLM-5V-Turbo vs DeepSeek V4 ProDeepSeek
