GLM-5V-Turbo vs Grok Build 0.1 vs Gemini Robotics-ER 1.6 Preview
Grok Build 0.1 comes out ahead, 54 to 50 and 49 on our weighted score, and it is the cheaper option too.
Z.ai (Zhipu)GLM-5V-Turbo
49/100- ECI—
- Price$1.20 / $4.00
- Context200K
- Our pick
xAIGrok Build 0.1
54/100- ECI—
- Price$1.00 / $2.00
- Context256K
GoogleGemini Robotics-ER 1.6 Preview
50/100- ECI—
- Price$1.00 / $5.00
- Context131K
Grok Build 0.1 is our pick
Grok Build 0.1 is the better all-round choice, scoring 54/100 against Gemini Robotics-ER 1.6 Preview (50) and GLM-5V-Turbo (49). It leads on price and context window. Gemini Robotics-ER 1.6 Preview wins on 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 priceGrok Build 0.1Grok Build 0.1 $1.25 · GLM-5V-Turbo $1.90 · Gemini Robotics-ER 1.6 Preview $2.00 per 1M tokens (3:1 blend)
- Longest contextGrok Build 0.1Grok Build 0.1 256,000 · GLM-5V-Turbo 200,000 · Gemini Robotics-ER 1.6 Preview 131,072 tokens
- Widest inputsGLM-5V-Turbo and Gemini Robotics-ER 1.6 PreviewGLM-5V-Turbo: Text, Images, PDFs, Video · Grok Build 0.1: Text, Images, PDFs · Gemini Robotics-ER 1.6 Preview: Text, Images, Audio, Video
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | GLM-5V-Turbo | Grok Build 0.1 | Gemini Robotics-ER 1.6 Preview |
|---|---|---|---|---|
| Price | 50% | 37 | 45 | 36 |
| Inputs & features | 30% | 80 | 80 | 90 |
| Context window | 20% | 32 | 36 | 24 |
| Overall | 100% | 49/100 | 54/100 | 50/100 |
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) | Grok Build 0.1xAI | Gemini Robotics-ER 1.6 PreviewGoogle |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.20 | $1.00 (best) | $1.00 (best) |
| Output | $4.00 | $2.00 (best) | $5.00 |
| Cached input | $0.24 | $0.20 (best) | — |
| Blended (3:1) | $1.90 | $1.25 (best) | $2.00 |
| Long-context rate | Same rate | Over 200K: $2.00 / $4.00 | Same rate |
| Price source | Official Z.AI API | Official xAI API | Median of 1 providers |
| Limits | |||
| Context window | 200,000 tokens | 256,000 tokens (best) | 131,072 tokens |
| Max output | 131,072 tokens | 256,000 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | Yes | No |
| Audio | No | No | Yes |
| Video | Yes | No | Yes |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | glm-5v-turbo | grok-build-0.1 | — |
| API providers | 14 | 19 (best) | 1 |
| Released | Apr 1, 2026 | Apr 16, 2026 | Apr 14, 2026 |
| Knowledge cutoff | — | — | Jan 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-5V-Turbo$20.00
- Grok Build 0.1$14.00
- Gemini Robotics-ER 1.6 Preview$20.00
Which should you choose?
Which is better: GLM-5V-Turbo, Grok Build 0.1 or Gemini Robotics-ER 1.6 Preview?
Grok Build 0.1 is the better all-round choice, scoring 54/100 against Gemini Robotics-ER 1.6 Preview (50) and GLM-5V-Turbo (49). It leads on price and context window. Gemini Robotics-ER 1.6 Preview wins on 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-5V-Turbo, Grok Build 0.1 or Gemini Robotics-ER 1.6 Preview?
Grok Build 0.1 is cheaper at $1.00 input / $2.00 output per million tokens (official xAI API price). GLM-5V-Turbo costs $1.20 input / $4.00 output per million tokens (official Z.AI API price); Gemini Robotics-ER 1.6 Preview costs $1.00 input / $5.00 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $1.25 per million tokens for Grok Build 0.1 versus $1.90 for GLM-5V-Turbo (1.5× as much) and $2.00 for Gemini Robotics-ER 1.6 Preview (1.6× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. GLM-5V-Turbo has not been scored yet, Grok Build 0.1 has not been scored yet and Gemini Robotics-ER 1.6 Preview has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GLM-5V-Turbo, Grok Build 0.1 and Gemini Robotics-ER 1.6 Preview yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Grok Build 0.1 has the largest context window at 256,000 tokens, against 200,000 for GLM-5V-Turbo and 131,072 for Gemini Robotics-ER 1.6 Preview. Maximum output per response: GLM-5V-Turbo up to 131,072, Grok Build 0.1 up to 256,000, Gemini Robotics-ER 1.6 Preview up to 65,536 tokens.
Which can read images, PDFs, audio or video?
GLM-5V-Turbo accepts text, images, PDFs and video; Grok Build 0.1 accepts text, images and PDFs; Gemini Robotics-ER 1.6 Preview accepts text, images, audio and video. GLM-5V-Turbo handles the widest range of inputs.
Are any of these open source?
No. GLM-5V-Turbo, Grok Build 0.1 and Gemini Robotics-ER 1.6 Preview are proprietary and only available through APIs and apps.
Which is newer?
Grok Build 0.1 is the newest, released Apr 16, 2026. Gemini Robotics-ER 1.6 Preview came out Apr 14, 2026; GLM-5V-Turbo came out Apr 1, 2026. Knowledge cutoff: Gemini Robotics-ER 1.6 Preview Jan 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.
